Bin Chen

3.2k citations
129 papers · 2.0k · h-index 25

Impact in

    • Tuberculosis Research and Epidemiology
    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies
    • Public Policy and Administration Research

Papers in

    • Tuberculosis Research and Epidemiology 35
    • Viral gastroenteritis research and epidemiology 4
    • Mycobacterium research and diagnosis 6
    • Pneumonia and Respiratory Infections 4

Bin Chen

117 papers receiving 1.9k citations

Peers

Bin Chen
Comparison fields: 5 of 171
  • Infectious Diseases 503
  • Public Administration 84
  • Modeling and Simulation 78
  • Epidemiology 197
  • Environmental Chemistry 59
Replace Brian E. Dixon with:
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Michael D. Caldwell United States
Nadia Bashir China
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Citations per field
00.5×2×4×6×8.4×
Brian E. Dixon · 1×
Citations per year

Countries citing papers authored by Bin Chen

Since Specialization
Citations

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

Fields of papers citing papers by Bin Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Bin 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 Bin Chen Line = papers co-authored together Bin Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 129 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020218
2 2019140
3 201095
4 202380
5 201276
6 201465
7 201053
8 201352
9 201452
10 201549
11 201848
12 201945
13
Early evaluation of the Wuhan City travel restrictions in response to the 2019 novel coronavirus outbreak
202044
14 200540
15 201235
16 202034
17 201734
18 202133
19 201932
20 201031

About Bin Chen

Bin Chen is a scholar working on Infectious Diseases, Epidemiology, Sociology and Political Science, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 129 papers that have together received 2.0k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (35 papers), Mycobacterium research and diagnosis (6 papers), Nonprofit Sector and Volunteering (5 papers), Pneumonia and Respiratory Infections (4 papers), Viral gastroenteritis research and epidemiology (4 papers), Public Policy and Administration Research (4 papers), Traditional Chinese Medicine Analysis (3 papers) and Social Capital and Networks (3 papers). The work is most often cited by research in Infectious Diseases (503 citations), Public Administration (84 citations), Modeling and Simulation (78 citations), Epidemiology (197 citations) and Environmental Chemistry (59 citations). Bin Chen has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Elizabeth A. Graddy, Jianmin Jiang, Kui Liu, Yijia Jing, Jin Yang, Yanshan Yu, Hua Gu, Zhenggang Jiang, Shu Zhang and Bin He. Their work appears in journals such as Frontiers in Public Health, BMC Infectious Diseases, International Journal of Environmental Research and Public Health, Journal of Medical Internet Research and Frontiers in Cellular and Infection Microbiology.

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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