Zhidong Bai

413 total papers · 12.1k total citations
236 papers, 7.1k citations indexed

About

Zhidong Bai is a scholar working on Statistics and Probability, Mathematical Physics and Artificial Intelligence. According to data from OpenAlex, Zhidong Bai has authored 236 papers receiving a total of 7.1k indexed citations (citations by other indexed papers that have themselves been cited), including 169 papers in Statistics and Probability, 59 papers in Mathematical Physics and 44 papers in Artificial Intelligence. Recurrent topics in Zhidong Bai's work include Random Matrices and Applications (100 papers), Statistical Methods and Inference (45 papers) and Advanced Combinatorial Mathematics (41 papers). Zhidong Bai is often cited by papers focused on Random Matrices and Applications (100 papers), Statistical Methods and Inference (45 papers) and Advanced Combinatorial Mathematics (41 papers). Zhidong Bai collaborates with scholars based in China, Singapore and United States. Zhidong Bai's co-authors include Jack W. Silverstein, Yanqing Yin, P. R. Krishnaiah, Wing‐Keung Wong, Jianfeng Yao, L.C. Zhao, Zehua Chen, Bimal K. Sinha, Shurong Zheng and Yuehua Wu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of the American Statistical Association.

In The Last Decade

Zhidong Bai

222 papers receiving 6.7k citations

Hit Papers

Spectral Analysis of Larg... 2009 2026 2014 2020 2009 250 500 750

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Zhidong Bai 4.5k 1.7k 1.3k 1.0k 742 236 7.1k
David Aldous 2.3k 0.5× 3.5k 2.0× 1.6k 1.2× 566 0.6× 324 0.4× 181 8.8k
Ofer Zeitouni 2.9k 0.6× 3.4k 2.0× 1.5k 1.2× 526 0.5× 199 0.3× 179 8.5k
Michel Talagrand 2.3k 0.5× 2.8k 1.6× 1.3k 1.0× 379 0.4× 299 0.4× 237 7.4k
Amir Dembo 2.1k 0.5× 2.5k 1.5× 1.8k 1.3× 315 0.3× 359 0.5× 136 8.4k
Svante Janson 1.8k 0.4× 3.7k 2.2× 1.3k 1.0× 2.0k 2.0× 245 0.3× 301 8.7k
A. Rényi 1.4k 0.3× 1.2k 0.7× 1.8k 1.4× 316 0.3× 376 0.5× 85 7.6k
Yuval Peres 2.8k 0.6× 4.6k 2.7× 1.3k 1.0× 534 0.5× 220 0.3× 290 8.0k
Luc Devroye 4.2k 0.9× 1.2k 0.7× 5.2k 4.0× 218 0.2× 1.1k 1.4× 272 12.0k
Jonathan M. Borwein 776 0.2× 2.6k 1.5× 1.0k 0.8× 1.3k 1.2× 242 0.3× 457 15.3k
Geoffrey Grimmett 1.7k 0.4× 2.4k 1.4× 735 0.6× 260 0.3× 126 0.2× 123 5.7k

Countries citing papers authored by Zhidong Bai

Since Specialization
Citations

This map shows the geographic impact of Zhidong Bai's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Zhidong Bai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhidong Bai more than expected).

Fields of papers citing papers by Zhidong Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zhidong Bai. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Zhidong Bai. The network helps show where Zhidong Bai may publish in the future.

Co-authorship network of co-authors of Zhidong Bai

This figure shows the co-authorship network connecting the top 25 collaborators of Zhidong Bai. A scholar is included among the top collaborators of Zhidong Bai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Zhidong Bai. Zhidong Bai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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