CodeBERT: A Pre-Trained Model for Programming and Natural Languages
2020 • 4789 Citations
Published in Findings of the Association for Computational Linguistics: EMNLP 2020
Ming Zhou (周明)
Ming Zhou (周明) is a researcher affiliated with Chief Scientist at Sinovation, ACL president (2019), VP of CCF(2020-2024), specializing in AI & Machine Learning. Their work has been cited 69,448 times. This profile visualizes their global influence, highlighting strong citation networks in CN.
AI & Machine Learning
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0i10-index
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Chief Scientist at Sinovation, ACL president (2019), VP of CCF(2020-2024)•
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Ming Zhou (周明)'s Citation Metrics
Bibliometric impact based on 1 indexed publication.
- H-Index
- 1
- i10-Index
- 1
- Total Citations
- 69,448
- Citing Countries
- 6
As of April 2026.
Ming Zhou (周明) has an h-index of 1 and 69,448 total citations across 1 publication, with research cited by institutions in 6 countries.
Global Impact Map
Visualizing the geographic distribution of institutions that have cited your work.
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Top Citing Countries(Limited)
China(CN)
64Australia(AU)
2Singapore(SG)
2Hong Kong(HK)
1Canada(CA)
1South Korea(KR)
1Top Citing Institutions(Limited)
Alibaba Group
24Renmin University of China
21Peking University
10Huazhong University of Science and Technology
4The Hong Kong University of Science and Technology (Guangzhou)
3Singapore Management University
2Monash University
2Université de Montréal
1The Hong Kong University of Science and Technology
1The Hong Kong Polytechnic University
1Visa Evidence Package
Views and exports tuned for EB-1A, O-1A, and EB-2 NIW petitions. Sustained acclaim, geographic reach, and independent-citation filtering are the strongest evidence categories immigration adjudicators look for.
Citer Influence Network
Visa-ready visualisation: each outer ring node is a country citing this scholar. Node size & edge weight scale with citing-paper count. Showing top 6 of 6 countries (71 total citations).
Letter of Support — Candidate Recommenders
Ranked by EB-1A / O-1A relevance: independence from your home institution, affiliation with a top-ranked institution, repeat citations of your work, and recency. Reach out to the highest-scoring candidates to request support letters.
- #1
Qinhan Yu
7.0Peking University
China· Cited your work 1 time
IndependentTop institution - #2
Penghao Zhao
7.0Peking University
China· Cited your work 1 time
IndependentTop institution - #3
John C. Grundy
8.5Monash University
Australia· Cited your work 1 time
IndependentTop institutionDiversifies geography - #4
Yue Liu
8.5Monash University
Australia· Cited your work 1 time
IndependentTop institutionDiversifies geography - #5
Xiapu Luo
8.5The Hong Kong Polytechnic University
Hong Kong· Cited your work 1 time
IndependentTop institutionDiversifies geography - #6
Zhou Yang
6.5Singapore Management University
Singapore· Cited your work 1 time
IndependentDiversifies geography - #7
David Lo
6.5Singapore Management University
Singapore· Cited your work 1 time
IndependentDiversifies geography - #8
Sungju Kim
6.5NAVER Cloud
South Korea· Cited your work 1 time
IndependentDiversifies geography - #9
Jian-Yun Nie
6.5Université de Montréal
Canada· Cited your work 1 time
IndependentDiversifies geography - #10
Fangcheng Fu
7.0Peking University
China· Cited your work 1 time
IndependentTop institution
Scores combine 5 signals: independence (+3), prestige institution (+2), repeat citations (+2 per paper, cap 5), recent activity (+1), and geography diversity (+1.5). Identity matching uses name + institution; namesakes at the same org are merged.
Cited by 5 papers
5 / 5 independent
Citations flagged as non-independent share the scholar's home institution (Harbin Institute of Technology). EB-1A & O-1A petitions typically quote the independent-citation count as the stronger evidence of outside recognition.
Xinyi Hou, Yanjie Zhao, Zhou Yang, Kailong Wang + 6 more
ACM Transactions on Software Engineering and Methodology (TOSEM)· cites “CodeBERT: A Pre-Trained Model for Programming and Natural Languages”
Penghao Zhao, Hailin Zhang, Qinhan Yu, Zhengren Wang + 6 more
Data Science and Engineering· cites “CodeBERT: A Pre-Trained Model for Programming and Natural Languages”
Binyuan Hui, Jian Yang, Zeyu Cui, Jiaxi Yang + 20 more
arXiv· cites “CodeBERT: A Pre-Trained Model for Programming and Natural Languages”
Juyong Jiang, Fan Wang, Jiasi Shen, Sungju Kim + 1 more
ACM Transactions on Software Engineering and Methodology (TOSEM)· cites “CodeBERT: A Pre-Trained Model for Programming and Natural Languages”
Wayne Xin Zhao, Ji-Rong Wen, Jian-Yun Nie, Kun Zhou + 18 more
arXiv preprint· cites “CodeBERT: A Pre-Trained Model for Programming and Natural Languages”
Top Cited Works(Showing 1 of 1)
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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