Zhidong Bai

12.2k total citations · 1 hit paper
238 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 238 papers receiving a total of 7.1k indexed citations (citations by other indexed papers that have themselves been cited), including 168 papers in Statistics and Probability, 58 papers in Mathematical Physics and 44 papers in Artificial Intelligence. Recurrent topics in Zhidong Bai's work include Random Matrices and Applications (99 papers), Statistical Methods and Inference (45 papers) and Bayesian Methods and Mixture Models (40 papers). Zhidong Bai is often cited by papers focused on Random Matrices and Applications (99 papers), Statistical Methods and Inference (45 papers) and Bayesian Methods and Mixture Models (40 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

223 papers receiving 6.8k citations

Hit Papers

Spectral Analysis of Large Dimensional Random Matrices 2009 2026 2014 2020 2009 250 500 750

Peers

Zhidong Bai
Comparison fields: 5 of 155
  • Statistics and Probability 4.5k
  • Mathematical Physics 1.7k
  • Artificial Intelligence 1.3k
  • Discrete Mathematics and Combinatorics 1.0k
  • Signal Processing 747
Replace Ofer Zeitouni with:
Ofer Zeitouni Israel
Amir Dembo United States
Michel Talagrand France
Svante Janson Sweden
Yuval Peres United States
Barry C. Arnold United States
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Citations per field, relative to Zhidong Bai
Zhidong Bai · 1×
Citations per year, relative to Zhidong Bai
Zhidong Bai · 1×

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

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 1
4 31
5 3
6 2
7
A New Nonlinearity Test to Circumvent the Limitation of Volterra Expansion with Applications
1
8 137
9
Statistics with Estimated Parameters
3
10 13
11 1
12 18
13 20
14 2
15 24
16 3
17 1
18
Densitometry improves the accuracy of volumes estimated by geometrical biplane integration method
1
19 80
20 240

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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