Kaiming Bi

448 total citations
16 papers, 233 citations indexed

About

Kaiming Bi is a scholar working on Public Health, Environmental and Occupational Health, Epidemiology and Modeling and Simulation. According to data from OpenAlex, Kaiming Bi has authored 16 papers receiving a total of 233 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Public Health, Environmental and Occupational Health, 7 papers in Epidemiology and 7 papers in Modeling and Simulation. Recurrent topics in Kaiming Bi's work include COVID-19 epidemiological studies (7 papers), Mathematical and Theoretical Epidemiology and Ecology Models (6 papers) and SARS-CoV-2 and COVID-19 Research (4 papers). Kaiming Bi is often cited by papers focused on COVID-19 epidemiological studies (7 papers), Mathematical and Theoretical Epidemiology and Ecology Models (6 papers) and SARS-CoV-2 and COVID-19 Research (4 papers). Kaiming Bi collaborates with scholars based in United States, India and Hong Kong. Kaiming Bi's co-authors include Chih-Hang John Wu, David Ben‐Arieh, Yuyang Chen, Marcelo Ramalho-Ortigão, Spencer J. Fox, Pedram Parandoush, Lauren Ancel Meyers, Yiliang Liao, Dong Lin and Anass Bouchnita and has published in prestigious journals such as Emerging infectious diseases, BioMed Research International and Chaos Solitons & Fractals.

In The Last Decade

Kaiming Bi

15 papers receiving 229 citations

Peers

Kaiming Bi
Comparison fields: 5 of 65
  • Public Health, Environmental and Occupational Health 144
  • Modeling and Simulation 66
  • Epidemiology 59
  • Infectious Diseases 43
  • Parasitology 20
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Citations per field, relative to Kaiming Bi
Kaiming Bi · 1×
Citations per year, relative to Kaiming Bi
Kaiming Bi · 1×

Countries citing papers authored by Kaiming Bi

Since Specialization
Citations

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

Fields of papers citing papers by Kaiming Bi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaiming Bi

This figure shows the co-authorship network connecting the top 25 collaborators of Kaiming Bi. A scholar is included among the top collaborators of Kaiming Bi 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 Kaiming Bi. Kaiming Bi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
# Work Indexed citations
1 2
2 1
3 0
4 6
5 1
6 9
7 8
8 13
9 3
10 15
11 6
12 82
13 7
14 27
15 17
16 36

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