Ming‐Hui Chen

20.5k total citations · 4 hit papers
530 papers, 13.7k citations indexed

About

Ming‐Hui Chen is a scholar working on Pulmonary and Respiratory Medicine, Statistics and Probability and Artificial Intelligence. According to data from OpenAlex, Ming‐Hui Chen has authored 530 papers receiving a total of 13.7k indexed citations (citations by other indexed papers that have themselves been cited), including 151 papers in Pulmonary and Respiratory Medicine, 147 papers in Statistics and Probability and 65 papers in Artificial Intelligence. Recurrent topics in Ming‐Hui Chen's work include Prostate Cancer Diagnosis and Treatment (135 papers), Prostate Cancer Treatment and Research (132 papers) and Statistical Methods and Bayesian Inference (78 papers). Ming‐Hui Chen is often cited by papers focused on Prostate Cancer Diagnosis and Treatment (135 papers), Prostate Cancer Treatment and Research (132 papers) and Statistical Methods and Bayesian Inference (78 papers). Ming‐Hui Chen collaborates with scholars based in United States, China and Taiwan. Ming‐Hui Chen's co-authors include Joseph G. Ibrahim, Qi-Man Shao, Anthony V. D’Amico, Andrew A. Renshaw, Anthony V. D’Amico, Debajyoti Sinha, Marian Loffredo, Philip W. Kantoff, Peter R. Carroll and Judd W. Moul and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and JAMA.

In The Last Decade

Ming‐Hui Chen

488 papers receiving 13.2k citations

Hit Papers

Monte Carlo Estimation of Bayesian Credible and HPD Inter... 1999 2026 2008 2017 1999 2001 2000 2008 250 500 750

Peers

Ming‐Hui Chen
Comparison fields: 5 of 224
  • Pulmonary and Respiratory Medicine 5.3k
  • Statistics and Probability 4.2k
  • Artificial Intelligence 1.5k
  • Molecular Biology 1.2k
  • Surgery 1.1k
Replace Hans C. van Houwelingen with:
Hans C. van Houwelingen Netherlands
Xihong Lin United States
Tianxi Cai United States
John D. Kalbfleisch United States
Thomas A. Louis United States
Jeremy M. G. Taylor United States
L. J. Wei United States
Willi Sauerbrei Germany
J A Hanley Canada
Ram C. Tiwari United States
Hans C. van Houwelingen Netherlands View profile →
Citations per field, relative to Ming‐Hui Chen
Ming‐Hui Chen · 1×
Citations per year, relative to Ming‐Hui Chen
Ming‐Hui Chen · 1×

Countries citing papers authored by Ming‐Hui Chen

Since Specialization
Citations

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

Fields of papers citing papers by Ming‐Hui Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming‐Hui Chen. 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 Ming‐Hui Chen. The network helps show where Ming‐Hui Chen may publish in the future.

Co-authorship network of co-authors of Ming‐Hui Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Ming‐Hui Chen. A scholar is included among the top collaborators of Ming‐Hui Chen 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 Ming‐Hui Chen. Ming‐Hui Chen 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 1
2 1
3 4
4 11
5 1
6 2
7 0
8 3
9 0
10 0
11 3
12 1
13 5
14 6
15 2
16 4
17 26
18 98
19 371
20
Monte Carlo Estimation of Bayesian Credible and HPD Intervals breakdown →
836

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