Aokun Chen

1.6k citations
25 papers · 867 · 2 hit papers · h-index 8

Impact in

Papers in

Aokun Chen

22 papers receiving 844 citations

Aokun Chen's Hit Papers

Medical foundation large language models for comprehensive text analysis and beyond 2025 · 25 citations
250+1+2Years since publication100200300400

Peers

Aokun Chen
Comparison fields: 5 of 97
  • Health Informatics 267
  • Health Information Management 73
  • Artificial Intelligence 333
  • Radiology, Nuclear Medicine and Imaging 99
  • Family Practice 5
Replace Tanja Magoč with:
Tanja Magoč United States
Laila Rasmy United States
Peter Schulam United States
Artuur Leeuwenberg Netherlands
Aileen P. Wright United States
Qiyang Hu Switzerland
Friederike Jungmann Germany
Yikuan Li United States
Stephen Wu United States
Aniek F. Markus Netherlands
Aokun Chen relative to Tanja Magoč United States Tanja Magoč's profile →
Citations per field
00.5×1.5×
Tanja Magoč · 1×
Citations per year

Countries citing papers authored by Aokun Chen

Since Specialization
Citations

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

Fields of papers citing papers by Aokun Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Aokun Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Aokun Chen Line = papers co-authored together Aokun Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A large language model for electronic health records
Hit paper breakdown →
2022488
2 2023223
3 202434
4
Medical foundation large language models for comprehensive text analysis and beyond
Hit paper breakdown →
202525
5 202322
6 202416
7 202213
8 20189
9 20247
10 20257
11 20217
12 20163
13 20222
14 20222
15
Impacts of Eligibility Criteria on Trial Participants' Age in Alzheimer's Disease Clinical Trials.
20222
16 20241
17 20241
18 20251
19 20221
20 20251

About Aokun Chen

Aokun Chen is a scholar working on Artificial Intelligence, Signal Processing, Computer Networks and Communications, Infectious Diseases and Cardiology and Cardiovascular Medicine, having authored 25 papers that have together received 867 indexed citations. Recurring topics across this work include Machine Learning in Healthcare (6 papers), Advanced Malware Detection Techniques (5 papers), Topic Modeling (3 papers), Network Security and Intrusion Detection (2 papers), Artificial Intelligence in Healthcare and Education (2 papers), Cardiovascular Health and Risk Factors (2 papers), Health, Environment, Cognitive Aging (2 papers) and Security and Verification in Computing (2 papers). The work is most often cited by research in Health Informatics (267 citations), Health Information Management (73 citations), Artificial Intelligence (333 citations), Radiology, Nuclear Medicine and Imaging (99 citations) and Family Practice (5 citations). Aokun Chen has collaborated with scholars based in United States, Brazil and United Kingdom. Frequent co-authors include Jiang Bian, Yonghui Wu, Xi Yang, Elizabeth Shenkman, Anthony Costa, Mona G. Flores, William R. Hogan, Gloria Lipori, Tanja Magoč and Duane A. Mitchell. Their work appears in journals such as Journal of Biomedical Informatics, npj Digital Medicine, Circulation, Journal of the American Medical Informatics Association and JCO Clinical Cancer Informatics.

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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