Fuk Tang
Impact in
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- Radiomics and Machine Learning in Medical Imaging
Papers in
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- Radiomics and Machine Learning in Medical Imaging 5
- Radiation Dose and Imaging 5
- Advances in Oncology and Radiotherapy 4
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- Medical Imaging and Analysis 4
- Advanced X-ray and CT Imaging 3
- Co-authors
- Daniel H. K. Chow (4 shared papers)Douglas K. S. Ng (1 shared paper)Lawrence Chan (4 shared papers)Alon Lai (3 shared papers)C S Kwok (1 shared paper)Cheng Xue (3 shared papers)Andrew D. Holmes (1 shared paper)Anson C.M. Chau (1 shared paper)
- Journals
- Journal of Digital Imaging (4 papers)Life (3 papers)Biomedicines (2 papers)Translational Lung Cancer Research (1 paper)Spine (1 paper)
- Partner nations
- Hong KongChinaUnited States
In The Last Decade
Fuk Tang
30 papers receiving 316 citations
Fuk Tang's Hit Papers
Peers
Comparison fields: 5 of 71
- Health Informatics 10
- Radiology, Nuclear Medicine and Imaging 105
- Neurology 38
- Radiation 22
- Pulmonary and Respiratory Medicine 73
Countries citing papers authored by Fuk Tang
This map shows the geographic impact of Fuk Tang'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 Fuk Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fuk Tang more than expected).
Fields of papers citing papers by Fuk Tang
This network shows the impact of papers produced by Fuk Tang. 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 Fuk Tang. The network helps show where Fuk Tang may publish in the future.
Co-authors
The 25 scholars most cited alongside Fuk Tang, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 78 | |
| 2 | 2000 | 28 | |
| 3 | 2018 | 26 | |
| 4 | 2004 | 25 | |
| 5 | 2008 | 22 | |
| 6 | Recent advancements in lung cancer research: a narrative review Hit paper breakdown → | 2025 | 21 |
| 7 | 2006 | 18 | |
| 8 | 2022 | 14 | |
| 9 | 2023 | 13 | |
| 10 | 2011 | 10 | |
| 11 | 2022 | 9 | |
| 12 | 2007 | 9 | |
| 13 | 2023 | 7 | |
| 14 | 2007 | 7 | |
| 15 | 2021 | 5 | |
| 16 | 2013 | 4 | |
| 17 | 2004 | 3 | |
| 18 | 2014 | 3 | |
| 19 | 2012 | 3 | |
| 20 | A PACS and image informatics training | 2001 | 3 |
About Fuk Tang
Fuk Tang is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Pulmonary and Respiratory Medicine, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 33 papers that have together received 325 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (5 papers), Radiation Dose and Imaging (5 papers), Advances in Oncology and Radiotherapy (4 papers), Digital Radiography and Breast Imaging (4 papers), Medical Imaging and Analysis (4 papers), AI in cancer detection (4 papers), Medical Image Segmentation Techniques (3 papers) and Advanced X-ray and CT Imaging (3 papers). The work is most often cited by research in Health Informatics (10 citations), Radiology, Nuclear Medicine and Imaging (105 citations), Neurology (38 citations), Radiation (22 citations) and Pulmonary and Respiratory Medicine (73 citations). Fuk Tang has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Daniel H. K. Chow, Douglas K. S. Ng, Lawrence Chan, Alon Lai, C S Kwok, Cheng Xue, Andrew D. Holmes, Anson C.M. Chau, Wing Sum Siu and Malcolm H. Pope. Their work appears in journals such as Journal of Digital Imaging, Life, Biomedicines, Translational Lung Cancer Research and Spine.
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.