Fan Lam
Impact in
- Computational Mathematics top 5%
-
- Advanced MRI Techniques and Applications
- Medical Imaging Techniques and Applications
- Advanced Neuroimaging Techniques and Applications
- MRI in cancer diagnosis
Papers in
-
- Advanced MRI Techniques and Applications 38
- Medical Imaging Techniques and Applications 12
- Advanced Neuroimaging Techniques and Applications 8
-
- Sparse and Compressive Sensing Techniques 14
- Co-authors
- Zhi‐Pei Liang (33 shared papers)Chao Ma (9 shared papers)Bo Zhao (5 shared papers)Bryan Clifford (9 shared papers)Zhong Chen (2 shared papers)Di Guo (2 shared papers)Jianhui Zhong (1 shared paper)Yingkun Hou (2 shared papers)
- Journals
- Magnetic Resonance in Medicine (15 papers)IEEE Transactions on Biomedical Engineering (6 papers)IEEE Transactions on Medical Imaging (4 papers)Nature Communications (2 papers)Analytical Chemistry (2 papers)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Fan Lam
62 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 93
- Computational Mathematics 40
- Radiology, Nuclear Medicine and Imaging 1.1k
- Computational Mechanics 330
- Biophysics 67
- Spectroscopy 193
Countries citing papers authored by Fan Lam
This map shows the geographic impact of Fan 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 Fan Lam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fan Lam more than expected).
Fields of papers citing papers by Fan Lam
This network shows the impact of papers produced by Fan 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 Fan Lam. The network helps show where Fan Lam may publish in the future.
Co-authors
The 25 scholars most cited alongside Fan Lam, 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 67 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 265 | |
| 2 | 2014 | 146 | |
| 3 | 2016 | 118 | |
| 4 | 2014 | 108 | |
| 5 | 2015 | 81 | |
| 6 | 2014 | 72 | |
| 7 | 2013 | 60 | |
| 8 | 2015 | 50 | |
| 9 | 2017 | 43 | |
| 10 | 2024 | 41 | |
| 11 | 2016 | 41 | |
| 12 | 2019 | 40 | |
| 13 | 2019 | 38 | |
| 14 | 2020 | 33 | |
| 15 | 2017 | 32 | |
| 16 | 2017 | 30 | |
| 17 | 2013 | 29 | |
| 18 | 2015 | 24 | |
| 19 | 2022 | 23 | |
| 20 | 2012 | 23 |
About Fan Lam
Fan Lam is a scholar working on Radiology, Nuclear Medicine and Imaging, Computational Mechanics, Computer Vision and Pattern Recognition, Biomedical Engineering and Spectroscopy, having authored 67 papers that have together received 1.6k indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (38 papers), Sparse and Compressive Sensing Techniques (14 papers), Medical Imaging Techniques and Applications (12 papers), Advanced Neuroimaging Techniques and Applications (8 papers), Photoacoustic and Ultrasonic Imaging (7 papers), Image and Signal Denoising Methods (6 papers), Spectroscopy Techniques in Biomedical and Chemical Research (4 papers) and Medical Image Segmentation Techniques (3 papers). The work is most often cited by research in Computational Mathematics (40 citations), Radiology, Nuclear Medicine and Imaging (1.1k citations), Computational Mechanics (330 citations), Biophysics (67 citations) and Spectroscopy (193 citations). Fan Lam has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Zhi‐Pei Liang, Chao Ma, Bo Zhao, Bryan Clifford, Zhong Chen, Di Guo, Jianhui Zhong, Yingkun Hou, Xiaobo Qu and Curtis L. Johnson. Their work appears in journals such as Magnetic Resonance in Medicine, IEEE Transactions on Biomedical Engineering, IEEE Transactions on Medical Imaging, Nature Communications and Analytical Chemistry.
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.