Chong He

46 total papers · 1.1k total citations
31 papers, 683 citations indexed

About

Chong He is a scholar working on Statistics and Probability, Molecular Biology and Economics and Econometrics. According to data from OpenAlex, Chong He has authored 31 papers receiving a total of 683 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Statistics and Probability, 10 papers in Molecular Biology and 10 papers in Economics and Econometrics. Recurrent topics in Chong He's work include Statistical Methods and Bayesian Inference (12 papers), Spatial and Panel Data Analysis (6 papers) and Economic and Environmental Valuation (6 papers). Chong He is often cited by papers focused on Statistical Methods and Bayesian Inference (12 papers), Spatial and Panel Data Analysis (6 papers) and Economic and Environmental Valuation (6 papers). Chong He collaborates with scholars based in United States, China and Singapore. Chong He's co-authors include Brian K. Kennedy, Dongchu Sun, Chuankai Zhou, Matt Kaeberlein, Michael Polymenis, Xiaoyin Wang, Mitsuhiro Tsuchiya, Brett Robison, Jacob Oleson and Jef D. Boeke and has published in prestigious journals such as Genes & Development, The EMBO Journal and Bioinformatics.

In The Last Decade

Chong He

30 papers receiving 661 citations

Author Peers

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

Author Last Decade Papers Cites
Chong He 420 131 68 66 66 31 683
Limin Hao 426 1.0× 142 1.1× 7 0.1× 30 0.5× 338 5.1× 22 752
Aaron W. Miller 491 1.2× 21 0.2× 6 0.1× 56 0.8× 193 2.9× 22 790
Xinyang Yu 379 0.9× 6 0.0× 19 0.3× 21 0.3× 118 1.8× 48 662
Hongyu Zhao 498 1.2× 57 0.4× 6 0.1× 10 0.2× 78 1.2× 42 763
Diana Domańska 330 0.8× 9 0.1× 6 0.1× 33 0.5× 50 0.8× 25 581
Ana Viñuela 407 1.0× 121 0.9× 4 0.1× 15 0.2× 321 4.9× 23 738
Wubin Qu 442 1.1× 16 0.1× 4 0.1× 76 1.2× 67 1.0× 22 627
Seymour Abrahamson 357 0.8× 15 0.1× 5 0.1× 18 0.3× 108 1.6× 38 760
Ivan Clark 392 0.9× 39 0.3× 3 0.0× 34 0.5× 93 1.4× 13 622
Yi Yin 533 1.3× 30 0.2× 1 0.0× 9 0.1× 123 1.9× 25 710

Countries citing papers authored by Chong He

Since Specialization
Citations

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

Fields of papers citing papers by Chong He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chong He

This figure shows the co-authorship network connecting the top 25 collaborators of Chong He. A scholar is included among the top collaborators of Chong He 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 Chong He. Chong He 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