Bingyi Yang

54 papers receiving 1.7k citations

Peers

Bingyi Yang
Comparison fields: 5 of 79
  • Modeling and Simulation 170
  • Infectious Diseases 679
  • Health 54
  • Epidemiology 180
  • General Dentistry 2
Replace Farid L. Khan with:
Farid L. Khan United States
Anna Vilella Spain
Timothy B. Frankland United States
Dillon Charles Adam Australia
Eeva Broberg Sweden
Douglas Black United States
Nicola Slawson United Kingdom
Kun Su China
Nathan Woo Furukawa United States
Anika Singanayagam United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Bingyi Yang

Since Specialization
Citations

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

Fields of papers citing papers by Bingyi Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020776
2 2017109
3 201764
4 201861
5 201649
6 202148
7 201446
8 202144
9 202338
10 201537
11 201634
12 202130
13 202230
14 202124
15 202223
16 202120
17 202019
18 202019
19 202119
20 202218

About Bingyi Yang

Bingyi Yang is a scholar working on Modeling and Simulation, Infectious Diseases, Epidemiology, Rheumatology and Cardiology and Cardiovascular Medicine, having authored 58 papers that have together received 1.8k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (16 papers), Influenza Virus Research Studies (11 papers), SARS-CoV-2 and COVID-19 Research (10 papers), Systemic Lupus Erythematosus Research (5 papers), Viral Infections and Immunology Research (3 papers), Mosquito-borne diseases and control (2 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers) and Advanced Queuing Theory Analysis (1 paper). The work is most often cited by research in Modeling and Simulation (170 citations), Infectious Diseases (679 citations), Health (54 citations), Epidemiology (180 citations) and General Dentistry (2 citations). Bingyi Yang has collaborated with scholars based in Hong Kong, United States and China. Frequent co-authors include Benjamin John Cowling, Derek A. T. Cummings, Justin Lessler, Angkana T. Huang, Bernardo García‐Carreras, Henrik Salje, Matt D. T. Hitchings, Brooke A. Borgert, Benjamin D. Solomon and Amy Wesolowski. Their work appears in journals such as Nature Communications, The Journal of Infectious Diseases, Emerging infectious diseases, Clinical Infectious Diseases and American Journal of Epidemiology.

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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