Kin Wah Fung
Impact in
- Health Information Management top 0.5%
- Medical Coding and Health Information
- Electronic Health Records Systems
- Medical Terminology top 10%
Papers in
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- Biomedical Text Mining and Ontologies 27
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- Medical Coding and Health Information 14
- Electronic Health Records Systems 6
- Co-authors
- Olivier Bodenreider (13 shared papers)Clement J. McDonald (10 shared papers)Julia Xu (13 shared papers)Keunsu Choi (1 shared paper)G. Mamantov (4 shared papers)G. M. Bègun (3 shared papers)Dina Demner‐Fushman (6 shared papers)Rachel Richesson (3 shared papers)
- Journals
- Journal of the American Medical Informatics Association (14 papers)Inorganic Chemistry (4 papers)The Analyst (3 papers)PLoS ONE (2 papers)International Journal of Medical Informatics (2 papers)
- Partner nations
- United StatesHong KongCanada
In The Last Decade
Kin Wah Fung
82 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 143
- Health Information Management 162
- Medical Terminology 4
- Bioengineering 94
- Electrochemistry 99
- Toxicology 46
Countries citing papers authored by Kin Wah Fung
This map shows the geographic impact of Kin Wah Fung'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 Kin Wah Fung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kin Wah Fung more than expected).
Fields of papers citing papers by Kin Wah Fung
This network shows the impact of papers produced by Kin Wah Fung. 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 Kin Wah Fung. The network helps show where Kin Wah Fung may publish in the future.
Co-authors
The 25 scholars most cited alongside Kin Wah Fung, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 84 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 84 | |
| 2 | 1980 | 70 | |
| 3 | 2001 | 63 | |
| 4 | 2016 | 56 | |
| 5 | 2020 | 54 | |
| 6 | 2017 | 53 | |
| 7 | 1971 | 51 | |
| 8 | 2013 | 48 | |
| 9 | 2023 | 45 | |
| 10 | 2007 | 43 | |
| 11 | Utilizing the UMLS for semantic mapping between terminologies. | 2005 | 42 |
| 12 | 2010 | 39 | |
| 13 | 2005 | 37 | |
| 14 | 1973 | 35 | |
| 15 | 2017 | 34 | |
| 16 | 2001 | 32 | |
| 17 | 1981 | 30 | |
| 18 | 2001 | 29 | |
| 19 | 2019 | 29 | |
| 20 | 1979 | 28 |
About Kin Wah Fung
Kin Wah Fung is a scholar working on Molecular Biology, Health Information Management, Artificial Intelligence, Public Health, Environmental and Occupational Health and Surgery, having authored 84 papers that have together received 1.4k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (27 papers), Medical Coding and Health Information (14 papers), Semantic Web and Ontologies (9 papers), Electronic Health Records Systems (6 papers), Pharmacovigilance and Adverse Drug Reactions (6 papers), Electrochemical Analysis and Applications (5 papers), Analytical Chemistry and Sensors (5 papers) and Computational Drug Discovery Methods (5 papers). The work is most often cited by research in Health Information Management (162 citations), Medical Terminology (4 citations), Bioengineering (94 citations), Electrochemistry (99 citations) and Toxicology (46 citations). Kin Wah Fung has collaborated with scholars based in United States, Hong Kong and Canada. Frequent co-authors include Olivier Bodenreider, Clement J. McDonald, Julia Xu, Keunsu Choi, G. Mamantov, G. M. Bègun, Dina Demner‐Fushman, Rachel Richesson, Fitsum Baye and Seo Hyon Baik. Their work appears in journals such as Journal of the American Medical Informatics Association, Inorganic Chemistry, The Analyst, PLoS ONE and International Journal of Medical Informatics.
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.