Ka Chun Chong

5.3k citations
205 papers · 3.1k indexed · 1 hit paper · h-index 28
Topics
COVID-19 epidemiological studies (61 papers)SARS-CoV-2 and COVID-19 Research (45 papers)Influenza Virus Research Studies (29 papers)

In The Last Decade

Ka Chun Chong

189 papers receiving 3.0k citations

Hit Papers

Acceptance of the COVID-19 vaccine based on the health be...20212026202220242021100200300

Peers

Ka Chun Chong
Comparison fields: 5 of 169
  • Infectious Diseases 934
  • Modeling and Simulation 827
  • Epidemiology 562
  • Health 474
  • Economics and Econometrics 394
Replace Virginia B. Bowen with:
Virginia B. Bowen United States
Stefan Ma Singapore
Nazrul Islam United Kingdom
Jacqui Wise
Carlo Signorelli Italy
Eliana Ferroni Italy
Erin K. Sauber‐Schatz United States
Hilda Razzaghi United States
Michael L. Pennell United States
Na He China
Ka Chun Chong relative to Virginia B. Bowen United States Virginia B. Bowen's profile →
Citations per field
00.5×5.6×
Virginia B. Bowen · 1×
Citations per year

Countries citing papers authored by Ka Chun Chong

Since Specialization
Citations

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

Fields of papers citing papers by Ka Chun Chong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ka Chun Chong. 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 Ka Chun Chong. The network helps show where Ka Chun Chong may publish in the future.

Co-authorship network of co-authors of Ka Chun Chong

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

All Works

20 of 20 papers shown
#WorkIndexed citations
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Electroacupuncture and wrist splinting for carpal tunnel syndrome: a randomised trial.
2

About Ka Chun Chong

Ka Chun Chong is a scholar working on Modeling and Simulation, Infectious Diseases and Health, having authored 205 papers that have together received 3.1k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (61 papers), SARS-CoV-2 and COVID-19 Research (45 papers) and Influenza Virus Research Studies (29 papers). The work is most often cited by research in Modeling and Simulation (827 citations), Health (474 citations) and Infectious Diseases (934 citations). Ka Chun Chong has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Benny Zee, Maggie Haitian Wang, Shi Zhao, Paul K.S. Chan, Martin C. S. Wong, Zigui Chen, Eliza Lai‐Yi Wong, Rita W. Y. Ng, Christopher K.C. Lai and Daihai He. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Medicine and Nature Communications.

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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