Chudi Zhong

17 total papers · 939 total citations
3 papers, 461 citations indexed

About

Chudi Zhong is a scholar working on Artificial Intelligence, Infectious Diseases and Organic Chemistry. According to data from OpenAlex, Chudi Zhong has authored 3 papers receiving a total of 461 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 0 papers in Infectious Diseases and 0 papers in Organic Chemistry. Recurrent topics in Chudi Zhong's work include Machine Learning and Data Classification (3 papers), Explainable Artificial Intelligence (XAI) (3 papers) and Neural Networks and Applications (2 papers). Chudi Zhong is often cited by papers focused on Machine Learning and Data Classification (3 papers), Explainable Artificial Intelligence (XAI) (3 papers) and Neural Networks and Applications (2 papers). Chudi Zhong collaborates with scholars based in United States and Canada. Chudi Zhong's co-authors include Cynthia Rudin, Haiyang Huang, Lesia Semenova, Chaofan Chen, Zhi Chen, Margo Seltzer, Diane Hu and Jimmy Lin and has published in prestigious journals such as arXiv (Cornell University) and Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Chudi Zhong

3 papers receiving 443 citations

Hit Papers

Interpretable machine lea... 2022 2026 2023 2024 2022 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation benchmark for papers published in the same subfield and year, or reaches the top citation threshold in at least one of its specific research topics.

  1. Interpretable machine learning: Fundamental principles and 10 grand challenges
    2022 428 citations Cynthia Rudin, Chaofan Chen et al. profile →

Author Peers

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

Author Last Decade Papers Cites
Chudi Zhong 265 33 31 28 24 3 461
Lesia Semenova 268 1.0× 33 1.0× 34 1.1× 28 1.0× 25 1.0× 5 473
Tobias Leemann 248 0.9× 51 1.5× 23 0.7× 27 1.0× 16 0.7× 4 476
Jeffrey Li 227 0.9× 29 0.9× 19 0.6× 25 0.9× 14 0.6× 5 505
Gregory Plumb 228 0.9× 30 0.9× 18 0.6× 24 0.9× 11 0.5× 5 494
Shachar Kaufman 137 0.5× 25 0.8× 24 0.8× 23 0.8× 19 0.8× 6 500
Haiyang Huang 252 1.0× 46 1.4× 32 1.0× 32 1.1× 27 1.1× 13 521
Kathrin Seßler 223 0.8× 43 1.3× 21 0.7× 26 0.9× 17 0.7× 4 462
Waddah Saeed 248 0.9× 33 1.0× 63 2.0× 15 0.5× 9 0.4× 5 414
Dylan Slack 325 1.2× 19 0.6× 55 1.8× 13 0.5× 17 0.7× 6 465
Katharina Beckh 184 0.7× 36 1.1× 15 0.5× 56 2.0× 29 1.2× 7 481

Countries citing papers authored by Chudi Zhong

Since Specialization
Citations

This map shows the geographic impact of Chudi Zhong'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 Chudi Zhong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chudi Zhong more than expected).

Fields of papers citing papers by Chudi Zhong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chudi Zhong. 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 Chudi Zhong. The network helps show where Chudi Zhong may publish in the future.

Co-authorship network of co-authors of Chudi Zhong

This figure shows the co-authorship network connecting the top 25 collaborators of Chudi Zhong. A scholar is included among the top collaborators of Chudi Zhong 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 Chudi Zhong. Chudi Zhong 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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2026