Benson S. Y. Lam
- Computer Vision and Pattern Recognition top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Ophthalmology top 5%
- Education top 10%
- Artificial Intelligence
- Co-authors
- Hong YanAmanda M. Y. ChuMike K. P. SoSiu Kai ChoyConnie LiuWai LoAlan Wee‐Chung LiewYongsheng Gao
- Topics
- Face and Expression Recognition (7 papers)Advanced Clustering Algorithms Research (5 papers)Medical Image Segmentation Techniques (4 papers)
- Cited by
- OphthalmologyComputer Vision and Pattern RecognitionRadiology, Nuclear Medicine and Imaging
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Medical Imaging
In The Last Decade
Benson S. Y. Lam
26 papers receiving 406 citations
Peers
Comparison fields: 5 of 91
- Computer Vision and Pattern Recognition 190
- Radiology, Nuclear Medicine and Imaging 149
- Ophthalmology 109
- Education 77
- Artificial Intelligence 72
Countries citing papers authored by Benson S. Y. Lam
This map shows the geographic impact of Benson S. Y. Lam'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 Benson S. Y. Lam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benson S. Y. Lam more than expected).
Fields of papers citing papers by Benson S. Y. Lam
This network shows the impact of papers produced by Benson S. Y. Lam. 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 Benson S. Y. Lam. The network helps show where Benson S. Y. Lam may publish in the future.
Co-authorship network of co-authors of Benson S. Y. Lam
This figure shows the co-authorship network connecting the top 25 collaborators of Benson S. Y. Lam. A scholar is included among the top collaborators of Benson S. Y. Lam 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 Benson S. Y. Lam. Benson S. Y. Lam is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 23 | |
| 5 | 50 | |
| 6 | 72 | |
| 7 | 1 | |
| 8 | 4 | |
| 9 | 2 | |
| 10 | 2 | |
| 11 | 3 | |
| 12 | 73 | |
| 13 | 4 | |
| 14 | 6 | |
| 15 | 139 | |
| 16 | 4 | |
| 17 | 2 | |
| 18 | 11 | |
| 19 | 6 | |
| 20 | 6 |
About Benson S. Y. Lam
Benson S. Y. Lam is a scholar working on Computer Vision and Pattern Recognition, Management Science and Operations Research and Statistics and Probability, having authored 27 papers that have together received 440 indexed citations. Recurring topics across this work include Face and Expression Recognition (7 papers), Advanced Clustering Algorithms Research (5 papers) and Medical Image Segmentation Techniques (4 papers). The work is most often cited by research in Ophthalmology (109 citations), Computer Vision and Pattern Recognition (190 citations) and Radiology, Nuclear Medicine and Imaging (149 citations). Benson S. Y. Lam has collaborated with scholars based in Hong Kong, Australia and China. Frequent co-authors include Hong Yan, Amanda M. Y. Chu, Mike K. P. So, Siu Kai Choy, Connie Liu, Wai Lo, Alan Wee‐Chung Liew, Yongsheng Gao, Agnes Tiwari and David K. Smith. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Medical Imaging.
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.