Score line, number and list of candidates for the second round examination of postgraduate students in Nanjing University
This retest will take the form of remote network retest. The content, specific requirements, proposed admission method, retest schedule, remote network retest operation and other materials will be notified later. Please wait patiently and pay attention to the notice of the home page of social college.
1、 Professional retest score line
Major name and code
Politics
Foreign Languages
Business I
Business II
Total score
030301 Sociology
Fifty-five
Fifty-five
Ninety
Ninety
Three hundred and seventy-five
030302 demography
Fifty-five
Fifty-five
Ninety
Ninety
Three hundred and ninety
030303 Anthropology
Fifty-five
Fifty-five
Ninety
Ninety
Three hundred and ninety-three
040201 basic psychology
Sixty
Sixty
One hundred and eighty
/
Three hundred and fifty-five
040203 Applied Psychology
Sixty
Sixty
One hundred and eighty
/
Three hundred and fifty-five
035200 social work
Fifty-five
Fifty-five
Ninety
Ninety
Three hundred and forty
045400 Applied Psychology
Sixty
Sixty
One hundred and eighty
/
Three hundred and eighty
Please refer to the basic score line and related instructions of 2020 postgraduate retest of Nanjing University for the scores line of national minority high level backbone plan and retired college student soldier plan. Our hospital (Department, Institute) will not accept any application for exception or adjustment for any reason.
2、 Enrollment plan and number of candidates for the second round examination (listed separately in the plan for minority population and the plan for soldiers)
(1) Master of academic degree:
Professional name and
Code
Full time offer
Number
Including the number of people who have been exempted
Quota of unified examination
Re examination
Number
Explain
030301 Sociology
Twenty-four
Fourteen
Ten
Thirteen
If the number of online students is greater than 120% of the number of students enrolled in the unified examination, the proportion of re examination shall not be less than 1:1.2; if the number of online students is less than 120% of the number of students enrolled in the unified examination, all online students shall participate in the re examination.
030302 demography
Four
Two
Two
Two
030303 Anthropology
Six
Three
Three
Four
040201 basic psychology
Three
Two
One
One
040203 Applied Psychology
Nine
Three
Six
Eight
(2) Master Degree:
Major name and code
Number of candidates
Including the number of people who have been exempted
Remaining enrollment quota
Re examination
Number
Explain
035200 social work
full-time
Thirty-six
Twenty
Sixteen
Twenty-nine
If the number of online students is greater than 120% of the number of students enrolled in the unified examination, the proportion of re examination shall not be less than 1:1.2; if the number of online students is less than 120% of the number of students enrolled in the unified examination, all online students shall participate in the re examination.
part time
One
Zero
One
1 (only 1 person online)
045400 Applied Psychology
full-time
Thirty-two
Six
Twenty-six
Thirty-five
part time
Four
Zero
Four
4 (only 4 people online)
Professional name and
Code
Full time offer
Number
Including the number of people who have been exempted
General examination
Enrollment quota
Re examination
Number
Explain
Sociology (minority program)
Two
Two
National special plan
Social work (minority program)
One
One
Applied Psychology (minority program)
Three
Three
The plan for high-level talents of key ethnic minorities and the plan for retired college students and soldiers shall be included in the number of candidates for re examination, excluding the proportion of re examination
The enrollment plan of the high-level talents plan for the backbone of ethnic minorities and the plan for the retired college students and soldiers shall be arranged by the University as a whole, and the college shall organize the retest if the conditions for the retest are met.
3、 Retest list of each discipline
List of postgraduate retests of social college in 2020
Re examination major
Candidate No
Full name
Scores of all subjects in the preliminary examination
Total score
Remarks (special plan of the Ministry of education or bonus points)
Politics
Foreign Languages
Major 1
Major 2
Sociology
one hundred and two trillion and eight hundred and forty billion two hundred and ten million seven hundred and twenty-two thousand six hundred and five
Cai chuyun
Seventy-nine
Eighty
One hundred and forty-three
One hundred and sixteen
Four hundred and eighteen
Sociology
one hundred and two trillion and eight hundred and forty billion two hundred and ten million seven hundred and thirteen thousand and eleven
Wang Shaoqiang
Seventy
Seventy-six
One hundred and thirty-two
One hundred and twenty-four
Four hundred and two
Sociology
one hundred and two trillion and eight hundred and forty billion two hundred and ten million seven hundred and ten thousand and twenty-five
Jiang Huishan
Seventy-nine
Seventy-eight
One hundred and thirty-one
One hundred and thirteen
Four hundred and one
Sociology
one hundred and two trillion and eight hundred and forty billion two hundred and ten million seven hundred and fifteen thousand one hundred and forty-two
Fu Zhe
Seventy-four
Seventy-nine
One hundred and thirty-five
One hundred and five
Three hundred and ninety-three
Sociology
one hundred and two trillion and eight hundred and forty billion two hundred and ten million seven hundred and seventeen thousand three hundred and thirty-five
Bi Xingchen
Seventy-six
Seventy-eight
One hundred and twenty-three
One hundred and eleven
Three hundred and eighty-eight
Sociology
one hundred and two trillion and eight hundred and forty billion two hundred and ten million seven hundred and eight thousand seven hundred and eighty-five
Cheng Jingjian
Seventy-eight
Seventy-four
One hundred and twenty-five
One hundred and ten
Three hundred and eighty-seven
Sociology
one hundred and two trillion and eight hundred and forty billion two hundred and ten million seven hundred and eighteen thousand three hundred and eighty-three
Zhao Naiyi
Sixty-eight
Seventy-eight
One hundred and twenty-seven
One hundred and twelve
Three hundred and eighty-five
Sociology
one hundred and two trillion and eight hundred and forty billion two hundred and ten million seven hundred and eleven thousand three hundred and ninety-one
Feng Zhichao
Sixty
Seventy-eight
One hundred and twenty-five
One hundred and twenty
Three hundred and eighty-three
Sociology
one hundred and two trillion and eight hundred and forty billion two hundred and ten million seven hundred and twenty-four thousand two hundred and sixty-nine
Li Yuting
Seventy-one
Seventy-six
One hundred and fifteen
One hundred and twenty
Three hundred and eighty-two
Sociology
one hundred and two trillion and eight hundred and forty billion two hundred and ten million seven hundred and twenty-four thousand two hundred and forty-four
Zhang Jing
Eighty
Sixty-seven
One hundred and twenty-one
One hundred and thirteen
Three hundred and eighty-one
Sociology
one hundred and two trillion and eight hundred and forty billion two hundred and ten million seven hundred and nineteen thousand three hundred and seventy-six
Ding Pu
Seventy-six
Seventy-five
One hundred and nineteen
One hundred and six
Three hundred and seventy-six
Sociology
one hundred and two trillion and eight hundred and forty billion two hundred and ten million seven hundred and twenty-three thousand and seven hundred
Wang Xinyi
Sixty-eight
Seventy-two
One hundred and twenty
One hundred and sixteen
Three hundred and seventy-six
Sociology
one hundred and two trillion and eight hundred and forty billion two hundred and ten million seven hundred thousand seven hundred and forty
Gao Jiaqi
Seventy
Seventy-four
One hundred and twenty
One hundred and eleven
Three hundred and seventy-five
Sociology
one hundred and two trillion and eight hundred and forty billion two hundred and ten million seven hundred and twenty-three thousand one hundred and seventy-four
Tang Zhou (Shaomin plan)
Sixty
Seventy-nine
One hundred and two
Eighty-four
Three hundred and twenty-five
Sociology
one hundred and two trillion and eight hundred and forty billion two hundred and ten million seven hundred and twenty-two thousand five hundred and fifty-seven
Zhang Kai (Shaomin plan)
Sixty-two
Fifty-six
One hundred and eighteen
Eighty-eight
Three hundred and twenty-four
demography
one hundred and two trillion and eight hundred and forty billion two hundred and ten million seven hundred thousand seven hundred and fifty-nine
Fan Yingqiang
Seventy-two
Seventy-seven
One hundred and eleven
One hundred and thirty-one
Three hundred and ninety-one
demography
one hundred and two trillion and eight hundred and forty billion two hundred and ten million seven hundred and seventeen thousand seven hundred and forty
Zhu Jiahui
Seventy
Eighty-two
One hundred and eighteen
One hundred and twenty-one
Three hundred and ninety-one
Anthropology
one hundred and two trillion and eight hundred and forty billion two hundred and ten million seven hundred and twenty-four thousand one hundred and ninety
Li Tianyi
Seventy-six
Eighty-six
One hundred and thirty-four
One hundred and thirty-three
Four hundred and twenty-nine
Anthropology
one hundred and two trillion and eight hundred and forty billion two hundred and ten million seven hundred and fifteen thousand one hundred and forty-four
Dong Kexin
Seventy
Eighty
One hundred and twenty-five
One hundred and thirty-nine
Four hundred and fourteen
Anthropology
one hundred and two trillion and eight hundred and forty billion two hundred and ten million seven hundred and twenty-one thousand and ninety-five
Lu Yuanhao
Seventy-one
Eighty-five
One hundred and twenty-nine
One hundred and twenty-three
Four hundred and eight
Add 10 points to the total score (volunteer for Chinese teachers abroad)
Anthropology
one hundred and two trillion and eight hundred and forty billion two hundred and ten million seven hundred and twenty-three thousand and ninety-nine
Wang Leixin
Sixty-five
Seventy-one
One hundred and thirty-two
One hundred and twenty-five
Three hundred and ninety-three
Applied Psychology
one hundred and two trillion and eight hundred and forty billion two hundred and ten million seven hundred thousand eight hundred and eighteen
Qi Yanyun
Seventy-five
Eighty
Two hundred and thirty-five
Three hundred and ninety
Applied Psychology
one hundred and two trillion and eight hundred and forty billion two hundred and ten million seven hundred and seventeen thousand six hundred and sixty-two
Qianlong
Seventy-three
Seventy-four
Two hundred and forty-one
Three hundred and eighty-eight
Applied Psychology
one hundred and two trillion and eight hundred and forty billion two hundred and ten million seven hundred and fifteen thousand seven hundred and seventy
Chen Mengni
Seventy-eight
Seventy-five
Two hundred and twenty
Three hundred and seventy-three
Applied Psychology
one hundred and two trillion and eight hundred and forty billion two hundred and ten million seven hundred and nine thousand eight hundred and forty
Wang Siyi
Sixty-two
Eighty-three
Two hundred and twenty-five
Three hundred and seventy
Applied Psychology
one hundred and two trillion and eight hundred and forty billion two hundred and ten million seven hundred and twenty thousand five hundred and fifty-eight
Geng Xiaomeng
Sixty-seven
Seventy-six
Two hundred and twenty-four
Three hundred and sixty-seven
Applied Psychology
one hundred and two trillion and eight hundred and forty billion two hundred and ten million seven hundred and fifteen thousand eight hundred and seventy-three
Hu League
Sixty-five
Sixty-five
Two hundred and thirty-six
Three hundred and sixty-six
Applied Psychology
one hundred and two trillion and eight hundred and forty billion two hundred and ten million seven hundred and sixteen thousand eight hundred and seventy-five
Wang Ling
Sixty-seven
Seventy-two
Two hundred and twenty-five
Three hundred and sixty-four
Applied Psychology
one hundred and two trillion and eight hundred and forty billion two hundred and ten million seven hundred and twenty-two thousand and nineteen
Liu Jingtao
Seventy-four
Eighty
Two hundred and three
Three hundred and fifty-seven
Basic psychology
one hundred and two trillion and eight hundred and forty billion two hundred and ten million seven hundred thousand eight hundred and six
Huang Mengzhu
Seventy-three
Eighty-one
Two hundred and eleven
Three hundred and sixty-five
Social work
one hundred and two trillion and eight hundred and forty billion two hundred and ten million seven hundred and twenty-two thousand eight hundred and eighty-nine
Huangyequ
Sixty-eight
Eighty-seven
One hundred and twenty-one
One hundred and fifteen
Three hundred and ninety-one
Social work
one hundred and two trillion and eight hundred and forty billion two hundred and ten million seven hundred and seven thousand seven hundred and forty-one
Cheng Xiaochun
Sixty-four
Eighty-one
One hundred and twenty-nine
One hundred and ten
Three hundred and eighty-four
Social work
one hundred and two trillion and eight hundred and forty billion two hundred and ten million seven hundred and seventeen thousand seven hundred and eighty-nine
Wu Shuqing
Seventy-three
Seventy-eight
One hundred and twenty-one
One hundred and twelve
Three hundred and eighty-four
Social work
one hundred and two trillion and eight hundred and forty billion two hundred and ten million seven hundred and nine thousand seven hundred and fifty-four
Wu Yangyang
Seventy
Sixty-eight
One hundred and twenty
One hundred and twenty-four
Three hundred and eighty-two
Social work
one hundred and two trillion and eight hundred and forty billion two hundred and ten million seven hundred and seventeen thousand seven hundred and eighty-seven
Sun Zhihua
Sixty-eight
Eighty-three
One hundred and eleven
One hundred and fourteen
Three hundred and seventy-six
Social work
one hundred and two trillion and eight hundred and forty billion two hundred and ten million seven hundred and thirteen thousand and fifteen
Sun Ling
Sixty-two
Seventy-two
One hundred and twenty-eight
One hundred and thirteen
Three hundred and seventy-five
Social work
one hundred and two trillion and eight hundred and forty billion two hundred and ten million seven hundred thousand seven hundred and sixty-four
Bao Le
Seventy-one
Eighty
One hundred and nine
One hundred and eleven
Three hundred and seventy-one
Social work
one hundred and two trillion and eight hundred and forty billion two hundred and ten million seven hundred and twenty-four thousand nine hundred and thirty-eight
Zhang Zhen
Seventy-two
Seventy-five
One hundred and thirteen
One hundred and eleven
Three hundred and seventy-one
Social work
one hundred and two trillion and eight hundred and forty billion two hundred and ten million seven hundred thousand seven hundred and ninety-four
Wang Jiling
Sixty-seven
Sixty-eight
One hundred and seventeen
One hundred and eighteen
Three hundred and seventy
Social work
one hundred and two trillion and eight hundred and forty billion two hundred and ten million seven hundred and eight thousand and ten
Dai Yulin
Seventy
Seventy-four
One hundred and seventeen
One hundred and nine
Three hundred and seventy
Social work
one hundred and two trillion and eight hundred and forty billion two hundred and ten million seven hundred and fifteen thousand one hundred and forty-eight
Li Qihang
Seventy
Seventy-nine
One hundred and ten
One hundred and eleven
Three hundred and seventy
Social work
one hundred and two trillion and eight hundred and forty billion two hundred and ten million seven hundred and twenty-three thousand seven hundred and ninety-two
Full of dewwood
Sixty-six
Seventy-seven
One hundred and seven
One hundred and eighteen
Three hundred and sixty-eight
Social work
one hundred and two trillion and eight hundred and forty billion two hundred and ten million seven hundred and twenty-one thousand and forty-seven
Rui Zhu
Sixty-eight
Sixty-seven
One hundred and fifteen
One hundred and sixteen
Three hundred and sixty-six
Social work
one hundred and two trillion and eight hundred and forty billion two hundred and ten million seven hundred and seventeen thousand one hundred and sixty-two
Jiang Lu
Sixty-five
Sixty-seven
One hundred and twenty
One hundred and thirteen
Three hundred and sixty-five
Social work
one hundred and two trillion and eight hundred and forty billion two hundred and ten million seven hundred and twenty-four thousand three hundred and seventy-five
Lin Yiyi
Sixty-seven
Seventy-one
One hundred and thirteen
One hundred and thirteen
Three hundred and sixty-four
Social work
one hundred and two trillion and eight hundred and forty billion two hundred and ten million seven hundred and fourteen thousand four hundred and seven
Liu Peng
Seventy-four
Seventy-three
One hundred and two
One hundred and thirteen
Three hundred and sixty-two
Social work
one hundred and two trillion and eight hundred and forty billion two hundred and ten million seven hundred thousand seven hundred and sixty-nine
Cheng zhifen
Sixty-nine
Seventy-one
One hundred and fourteen
One hundred and four
Three hundred and fifty-eight
Social work
one hundred and two trillion and eight hundred and forty billion two hundred and ten million seven hundred thousand eight hundred and three
Zhu fan
Seventy
Eighty-three
Ninety-seven
One hundred and seven
Three hundred and fifty-seven
Social work
one hundred and two trillion and eight hundred and forty billion two hundred and ten million seven hundred and nineteen thousand three hundred and seventy-eight
Shi Hongling
Seventy-one
Sixty-nine
One hundred and nine
One hundred and seven
Three hundred and fifty-six
Social work
one hundred and two trillion and eight hundred and forty billion two hundred and ten million seven hundred and seventeen thousand seven hundred and eighty-eight
Wang Xiaoxiao
Sixty-nine
Sixty-seven
One hundred and five
One hundred and fourteen
Three hundred and fifty-five
Social work
one hundred and two trillion and eight hundred and forty billion two hundred and ten million seven hundred and fourteen thousand and twenty-two
Wang Ying
Sixty-six
Eighty
One hundred and eight
One hundred
Three hundred and fifty-four
Social work
one hundred and two trillion and eight hundred and forty billion two hundred and ten million seven hundred and twenty-four thousand nine hundred and thirty-seven
Chen Cong
Sixty-two
Sixty-one
One hundred and nineteen
One hundred and twelve
Three hundred and fifty-four
Social work
one hundred and two trillion and eight hundred and forty billion two hundred and ten million seven hundred and eight thousand and eleven
Huangxinyuan
Sixty-two
Seventy-five
One hundred and ten
One hundred and five
Three hundred and fifty-two
Social work
one hundred and two trillion and eight hundred and forty billion two hundred and ten million seven hundred thousand seven hundred and ninety-eight
Yang Zhihui
Sixty-one
Seventy-five
One hundred and fourteen
Ninety-nine
Three hundred and forty-nine
Social work
one hundred and two trillion and eight hundred and forty billion two hundred and ten million seven hundred and seventeen thousand nine hundred and eighty-one
Liu Jingjing
Sixty-four
Seventy-five
One hundred
One hundred and nine
Three hundred and forty-eight
Social work
one hundred and two trillion and eight hundred and forty billion two hundred and ten million seven hundred and nine thousand four hundred and thirty-two
Xue Yongyu
Sixty
Sixty-nine
One hundred and ten
One hundred and five
Three hundred and forty-four
Social work
one hundred and two trillion and eight hundred and forty billion two hundred and ten million seven hundred and ten thousand one hundred and sixty-three
Korean lemon
Sixty-three
Seventy-nine
One hundred and seven
Ninety-five
Three hundred and forty-four
Social work
one hundred and two trillion and eight hundred and forty billion two hundred and ten million seven hundred and eighteen thousand four hundred and fifty-two
Wang Huipu (Shaomin plan)
Sixty-three
Fifty-nine
One hundred and ten
One hundred and ten
Three hundred and forty-two
Social work
one hundred and two trillion and eight hundred and forty billion two hundred and ten million seven hundred and twenty-three thousand eight hundred and eighty
Chen Xing
Sixty-five
Sixty-four
One hundred and nine
One hundred and four
Three hundred and forty-two
Social work
one hundred and two trillion and eight hundred and forty billion two hundred and ten million seven hundred and twenty-four thousand nine hundred and seventy-five
Lin Fangyu
Seventy-two
Seventy-one
One hundred and four
Ninety-four
Three hundred and forty-one
Social work
one hundred and two trillion and eight hundred and forty billion two hundred and ten million seven hundred and sixteen thousand six hundred and nineteen
Huang Yuqi
Sixty-eight
Seventy
One hundred and thirteen
One hundred and three
Three hundred and fifty-four
Applied Psychology
one hundred and two trillion and eight hundred and forty billion two hundred and ten million seven hundred thousand nine hundred and fifty
Tian Ziqing
Seventy-five
Eighty-three
Two hundred and seventy-four
Four hundred and thirty-two
Applied Psychology
one hundred and two trillion and eight hundred and forty billion two hundred and ten million seven hundred and eight thousand five hundred and seventeen
Sun chuyang
Sixty-seven
Seventy-nine
Two hundred and seventy-six
Four hundred and twenty-two
Applied Psychology
one hundred and two trillion and eight hundred and forty billion two hundred and ten million seven hundred and twenty-three thousand seven hundred and forty-five
Zeng Siyuan
Seventy-four
Eighty-three
Two hundred and fifty-eight
Four hundred and fifteen
Applied Psychology
one hundred and two trillion and eight hundred and forty billion two hundred and ten million seven hundred and seven thousand nine hundred and seventy-six
Ma Nan
Sixty-nine
Seventy-five
Two hundred and seventy
Four hundred and fourteen
Applied Psychology
one hundred and two trillion and eight hundred and forty billion two hundred and ten million seven hundred thousand eight hundred and sixty-seven
Gaozixuan
Sixty-nine
Eighty-four
Two hundred and sixty
Four hundred and thirteen
Applied Psychology
one hundred and two trillion and eight hundred and forty billion two hundred and ten million seven hundred and one thousand and five
Yao Yao
Seventy-one
Eighty-one
Two hundred and sixty-one
Four hundred and thirteen
Applied Psychology
one hundred and two trillion and eight hundred and forty billion two hundred and ten million seven hundred and seventeen thousand one hundred and seventy
Yong Xinyu
Sixty-nine
Seventy-six
Two hundred and sixty-seven
Four hundred and twelve
Applied Psychology
one hundred and two trillion and eight hundred and forty billion two hundred and ten million seven hundred and eighteen thousand three hundred and twenty-four
Lin Zebin
Seventy-four
Seventy-four
Two hundred and sixty-two
Four hundred and ten
Applied Psychology
one hundred and two trillion and eight hundred and forty billion two hundred and ten million seven hundred and one thousand and three
Yang Zhuoya
Seventy-six
Seventy-seven
Two hundred and fifty-five
Four hundred and eight
Applied Psychology
one hundred and two trillion and eight hundred and forty billion two hundred and ten million seven hundred thousand eight hundred and seventy-nine
Hou Shuyu
Seventy-five
Eighty-one
Two hundred and fifty
Four hundred and six
Applied Psychology
one hundred and two trillion and eight hundred and forty billion two hundred and ten million seven hundred and twenty-two thousand four hundred and twenty-seven
Zhou Huimin
Seventy-six
Eighty-four
Two hundred and forty-five
Four hundred and five
Applied Psychology
one hundred and two trillion and eight hundred and forty billion two hundred and ten million seven hundred and twenty-one thousand five hundred and seventy-one
Wang Ying
Sixty-eight
Seventy-nine
Two hundred and fifty-seven
Four hundred and four
Applied Psychology
one hundred and two trillion and eight hundred and forty billion two hundred and ten million seven hundred and fifteen thousand seven hundred and seventy-one
Zheng Xiaoxian
Sixty-nine
Seventy-eight
Two hundred and fifty-six
Four hundred and three
Applied Psychology
one hundred and two trillion and eight hundred and forty billion two hundred and ten million seven hundred thousand eight hundred and seventy-six
He Huanhuan
Seventy-three
Seventy-nine
Two hundred and forty-six
Three hundred and ninety-eight
Applied Psychology
one hundred and two trillion and eight hundred and forty billion two hundred and ten million seven hundred and nineteen thousand and eighty-six
Ricardo
Seventy-seven
Seventy-eight
Two hundred and forty-two
Three hundred and ninety-seven
Applied Psychology
one hundred and two trillion and eight hundred and forty billion two hundred and ten million seven hundred and twenty-one thousand two hundred and seventy-five
Feng Xiaoxuan
Seventy-six
Sixty-nine
Two hundred and fifty-one
Three hundred and ninety-six
Applied Psychology
one hundred and two trillion and eight hundred and forty billion two hundred and ten million seven hundred thousand eight hundred and ninety-three
Kong Mengya
Sixty-nine
Seventy-seven
Two hundred and forty-nine
Three hundred and ninety-five
Applied Psychology
one hundred and two trillion and eight hundred and forty billion two hundred and ten million seven hundred thousand nine hundred and eight
Liu zekun
Sixty-one
Eighty
Two hundred and fifty-two
Three hundred and ninety-three
Applied Psychology
one hundred and two trillion and eight hundred and forty billion two hundred and ten million seven hundred and fifteen thousand one hundred and fifty-nine
Ni Fangfang
Seventy
Eighty-four
Two hundred and thirty-nine
Three hundred and ninety-three
Applied Psychology
one hundred and two trillion and eight hundred and forty billion two hundred and ten million seven hundred and twelve thousand six hundred and sixteen
Wei yuyu
Seventy-one
Seventy-three
Two hundred and forty-eight
Three hundred and ninety-two
Applied Psychology
one hundred and two trillion and eight hundred and forty billion two hundred and ten million seven hundred and twenty-four thousand three hundred and eight
Raouyangzong (Shaomin plan)
Sixty-five
Seventy-six
Two hundred and forty-nine
Three hundred and ninety
Applied Psychology
one hundred and two trillion and eight hundred and forty billion two hundred and ten million seven hundred and seven thousand nine hundred and seventy-seven
Wang Yaxin
Seventy-two
Seventy-two
Two hundred and forty-five
Three hundred and eighty-nine
Applied Psychology
one hundred and two trillion and eight hundred and forty billion two hundred and ten million seven hundred and seventeen thousand nine hundred and thirty-three
Chen Weiyi
Sixty-seven
Seventy-nine
Two hundred and forty-three
Three hundred and eighty-nine
Applied Psychology
one hundred and two trillion and eight hundred and forty billion two hundred and ten million seven hundred and twenty-two thousand and eighty
Zeng Ying
Sixty-seven
Eighty-three
Two hundred and thirty-seven
Three hundred and eighty-seven
Applied Psychology
one hundred and two trillion and eight hundred and forty billion two hundred and ten million seven hundred thousand eight hundred and fifty-eight
Dai Shulin
Sixty-six
Seventy-six
Two hundred and forty-four
Three hundred and eighty-six
Applied Psychology
one hundred and two trillion and eight hundred and forty billion two hundred and ten million seven hundred thousand nine hundred and sixty-two
Wang Xuling
Sixty-seven
Eighty-two
Two hundred and thirty-seven
Three hundred and eighty-six
Applied Psychology
one hundred and two trillion and eight hundred and forty billion two hundred and ten million seven hundred and ten thousand four hundred and seven
Yu Hao
Sixty-six
Seventy-nine
Two hundred and forty-one
Three hundred and eighty-six
Applied Psychology
one hundred and two trillion and eight hundred and forty billion two hundred and ten million seven hundred and nineteen thousand and eighty-nine
Liu Yinuo
Sixty-seven
Eighty-one
Two hundred and thirty-seven
Three hundred and eighty-five
Applied Psychology
one hundred and two trillion and eight hundred and forty billion two hundred and ten million seven hundred and twenty-four thousand one hundred and sixty-nine
Ren Ruixue
Sixty-five
Seventy-seven
Two hundred and forty-three
Three hundred and eighty-five
Applied Psychology
one hundred and two trillion and eight hundred and forty billion two hundred and ten million seven hundred and nine thousand and eighteen
Jie Liu
Seventy-two
Eighty-two
Two hundred and twenty-nine
Three hundred and eighty-three
Applied Psychology
one hundred and two trillion and eight hundred and forty billion two hundred and ten million seven hundred and sixteen thousand one hundred and ninety-four
Zhao Bei
Sixty-one
Seventy-five
Two hundred and forty-seven
Three hundred and eighty-three
Applied Psychology
one hundred and two trillion and eight hundred and forty billion two hundred and ten million seven hundred and nineteen thousand and eighty-seven
Li Xiaoyue
Sixty-six
Seventy-seven
Two hundred and forty
Three hundred and eighty-three
Applied Psychology
one hundred and two trillion and eight hundred and forty billion two hundred and ten million seven hundred thousand nine hundred and five
Liu Xiaoyi
Seventy-four
Eighty-one
Two hundred and twenty-six
Three hundred and eighty-one
Applied Psychology
one hundred and two trillion and eight hundred and forty billion two hundred and ten million seven hundred and one thousand and thirty-eight
Zhou Aijiao
Seventy-six
Seventy-five
Two hundred and thirty
Three hundred and eighty-one
Applied Psychology
one hundred and two trillion and eight hundred and forty billion two hundred and ten million seven hundred and twenty thousand seven hundred and twelve
sumbe
Seventy-six
Eighty
Two hundred and twenty-five
Three hundred and eighty-one
Applied Psychology
one hundred and two trillion and eight hundred and forty billion two hundred and ten million seven hundred and twenty-two thousand and seventy-nine
Wei Xing
Sixty-seven
Eighty-three
Two hundred and thirty
Three hundred and eighty
Applied Psychology
one hundred and two trillion and eight hundred and forty billion two hundred and ten million seven hundred and twenty-three thousand seven hundred and ninety-three
Shuangxiaolan (Shaomin plan)
Seventy-one
Seventy-six
Two hundred and thirty-two
Three hundred and seventy-nine
Applied Psychology
one hundred and two trillion and eight hundred and forty billion two hundred and ten million seven hundred and twenty-four thousand three hundred and sixty-two
Yuan Yuying (Shaomin plan)
Sixty-nine
Eighty-two
Two hundred and twenty-six
Three hundred and seventy-seven
Applied Psychology
one hundred and two trillion and eight hundred and forty billion two hundred and ten million seven hundred and fifteen thousand one hundred and fifty-two
Chen Guo
Sixty-seven
Seventy-four
Two hundred and fifty-seven
Three hundred and ninety-eight
Applied Psychology
one hundred and two trillion and eight hundred and forty billion two hundred and ten million seven hundred and eight thousand seven hundred and eighty-seven
Shi Xianxin
Seventy-one
Eighty-one
Two hundred and thirty-eight
Three hundred and ninety
Applied Psychology
one hundred and two trillion and eight hundred and forty billion two hundred and ten million seven hundred and eleven thousand four hundred and three
Gu Yun
Sixty-seven
Seventy-nine
Two hundred and forty
Three hundred and eighty-six
Applied Psychology
one hundred and two trillion and eight hundred and forty billion two hundred and ten million seven hundred thousand nine hundred and thirty-one
Ren Xuezhen
Sixty-five
Seventy-seven
Two hundred and forty-one
Three hundred and eighty-three
Note: the above is the list of the proposed retest, which can only be entered into the retest link after passing the qualification examination
Social College of Nanjing University
April 28, 2020
Tips from xinxiangxu:
Many 2021 candidates have been collecting information about colleges and specialties, asking for experience from their elder sister and elder sister. The postgraduate entrance examination candidates are preparing for the postgraduate entrance examination. Other wavering partners, you will have less time for preparation if you hesitate for one day. If the decision of postgraduate entrance examination is made, we should act quickly. Xinxiangxu will take you to prepare for the examination efficiently and realize the dream of a famous school!!!
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