Aokun Chen

1.5k citations
24 papers · 743 · 1 hit paper · h-index 8

Impact in

Papers in

    • Machine Learning in Healthcare 8
    • Topic Modeling 7
    • Natural Language Processing Techniques 3
    • Security and Verification in Computing 2
    • Advanced Malware Detection Techniques 5

Aokun Chen

19 papers receiving 719 citations

Hit Papers

A large language model for electronic health records 2022 · 434 citations
4340+1+2Years since publication100200300400

Peers

Aokun Chen
Comparison fields: 5 of 104
  • Health Informatics 288
  • Health Information Management 95
  • Artificial Intelligence 405
  • Radiology, Nuclear Medicine and Imaging 135
  • Issues, ethics and legal aspects 5
Replace Tanja Magoč with:
Tanja Magoč United States
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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 24 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 →
2022434
2 2023186
3 202426
4 202321
5 202516
6 202213
7 202410
8 20188
9 20217
10 20245
11 20254
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 20221
19 20221
20 20250

About Aokun Chen

Aokun Chen is a scholar working on Artificial Intelligence, Signal Processing, Computer Networks and Communications, Pulmonary and Respiratory Medicine and Infectious Diseases, having authored 24 papers that have together received 743 indexed citations. Recurring topics across this work include Machine Learning in Healthcare (8 papers), Topic Modeling (7 papers), Advanced Malware Detection Techniques (5 papers), Natural Language Processing Techniques (3 papers), Network Security and Intrusion Detection (2 papers), Diabetes Management and Research (2 papers), Artificial Intelligence in Healthcare and Education (2 papers) and Security and Verification in Computing (2 papers). The work is most often cited by research in Health Informatics (288 citations), Health Information Management (95 citations), Artificial Intelligence (405 citations), Radiology, Nuclear Medicine and Imaging (135 citations) and Issues, ethics and legal aspects (5 citations). Aokun Chen has collaborated with scholars based in United States, Brazil and Singapore. Frequent co-authors include Jiang Bian, Yonghui Wu, Xi Yang, Elizabeth Shenkman, Anthony Costa, Mona G. Flores, Gloria Lipori, Duane A. Mitchell, Cheryl Martin and Tanja Magoč. Their work appears in journals such as npj Digital Medicine, Journal of Biomedical Informatics, Circulation, JCO Clinical Cancer Informatics and Journal of Managed Care & Specialty Pharmacy.

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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