Luen-Fai Tam
- Applied Mathematics top 0.2%
- Geometry and Topology top 0.5%
- Astronomy and Astrophysics top 5%
- Mathematical Physics top 5%
- Computational Theory and Mathematics top 2%
- Co-authors
- Peter LiYuguang ShiLei NiTom Yau-heng WanPengzi MiaoJoanne EdwardsJohn M.S. BartlettR Mukherjee
- Topics
- Geometric Analysis and Curvature Flows (70 papers)Geometry and complex manifolds (57 papers)Advanced Differential Geometry Research (25 papers)
- Partner nations
- Hong KongUnited StatesChina
In The Last Decade
Luen-Fai Tam
83 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 93
- Applied Mathematics 1.4k
- Geometry and Topology 1.1k
- Astronomy and Astrophysics 481
- Mathematical Physics 240
- Computational Theory and Mathematics 194
Countries citing papers authored by Luen-Fai Tam
This map shows the geographic impact of Luen-Fai Tam'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 Luen-Fai Tam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luen-Fai Tam more than expected).
Fields of papers citing papers by Luen-Fai Tam
This network shows the impact of papers produced by Luen-Fai Tam. 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 Luen-Fai Tam. The network helps show where Luen-Fai Tam may publish in the future.
Co-authorship network of co-authors of Luen-Fai Tam
This figure shows the co-authorship network connecting the top 25 collaborators of Luen-Fai Tam. A scholar is included among the top collaborators of Luen-Fai Tam 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 Luen-Fai Tam. Luen-Fai Tam is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 1 | |
| 3 | 7 | |
| 4 | 9 | |
| 5 | 2 | |
| 6 | 0 | |
| 7 | 2 | |
| 8 | 15 | |
| 9 | 6 | |
| 10 | 35 | |
| 11 | 21 | |
| 12 | 46 | |
| 13 | 101 | |
| 14 | 199 | |
| 15 | 6 | |
| 16 | 9 | |
| 17 | Implantation of balloon expandable copper stents in porcine coronary arteries. A model for testing the efficacy of stent coating in decreasing stent thrombogenicity. | 2 |
| 18 | 5 | |
| 19 | 5 | |
| 20 | 66 |
About Luen-Fai Tam
Luen-Fai Tam is a scholar working on Geometry and Topology, Applied Mathematics and Astronomy and Astrophysics, having authored 84 papers that have together received 1.9k indexed citations. Recurring topics across this work include Geometric Analysis and Curvature Flows (70 papers), Geometry and complex manifolds (57 papers) and Advanced Differential Geometry Research (25 papers). The work is most often cited by research in Applied Mathematics (1.4k citations), Geometry and Topology (1.1k citations) and Astronomy and Astrophysics (481 citations). Luen-Fai Tam has collaborated with scholars based in Hong Kong, United States and China. Frequent co-authors include Peter Li, Yuguang Shi, Lei Ni, Tom Yau-heng Wan, Pengzi Miao, Joanne Edwards, John M.S. Bartlett, R Mukherjee, Liane M. McGlynn and Albert Chau. Their work appears in journals such as British Journal of Cancer, Communications in Mathematical Physics and Annals of Mathematics.
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.