Wen-wai Yim
- Artificial Intelligence top 5%
- Molecular Biology
- Radiology, Nuclear Medicine and Imaging
- Health Informatics top 2%
- Health Information Management top 5%
- Co-authors
- Meliha YetişgenSharon W. KwanWilliam Proctor HarrisAsma Ben AbachaThomas LinNeal SniderNathan DelsonThomas McGee
- Topics
- Biomedical Text Mining and Ontologies (8 papers)Topic Modeling (7 papers)Natural Language Processing Techniques (5 papers)
- Partner nations
- United StatesAustriaUnited Kingdom
In The Last Decade
Wen-wai Yim
13 papers receiving 333 citations
Peers
Comparison fields: 5 of 72
- Artificial Intelligence 214
- Molecular Biology 129
- Radiology, Nuclear Medicine and Imaging 76
- Health Informatics 56
- Health Information Management 54
Countries citing papers authored by Wen-wai Yim
This map shows the geographic impact of Wen-wai Yim'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 Wen-wai Yim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wen-wai Yim more than expected).
Fields of papers citing papers by Wen-wai Yim
This network shows the impact of papers produced by Wen-wai Yim. 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 Wen-wai Yim. The network helps show where Wen-wai Yim may publish in the future.
Co-authorship network of co-authors of Wen-wai Yim
This figure shows the co-authorship network connecting the top 25 collaborators of Wen-wai Yim. A scholar is included among the top collaborators of Wen-wai Yim 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 Wen-wai Yim. Wen-wai Yim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 6 | |
| 5 | 26 | |
| 6 | 26 | |
| 7 | 15 | |
| 8 | Classification of hepatocellular carcinoma stages from free-text clinical and radiology reports. | 5 |
| 9 | 17 | |
| 10 | Tumor information extraction in radiology reports for hepatocellular carcinoma patients. | 22 |
| 11 | 206 | |
| 12 | Structuring Free-text Microbiology Culture Reports For Secondary Use. | 4 |
| 13 | 7 |
About Wen-wai Yim
Wen-wai Yim is a scholar working on Medical Laboratory Technology, Health Information Management and Family Practice, having authored 13 papers that have together received 339 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (8 papers), Topic Modeling (7 papers) and Natural Language Processing Techniques (5 papers). The work is most often cited by research in Health Informatics (56 citations), Health Information Management (54 citations) and Issues, ethics and legal aspects (9 citations). Wen-wai Yim has collaborated with scholars based in United States, Austria and United Kingdom. Frequent co-authors include Meliha Yetişgen, Sharon W. Kwan, William Proctor Harris, Asma Ben Abacha, Thomas Lin, Neal Snider, Nathan Delson, Thomas McGee, Heather L. Evans and Randolph H. Hastings. Their work appears in journals such as JAMA Oncology, Scientific Data and Journal of Biomedical 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.