Alexander L. C. Kwan
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- Medical Imaging Techniques and Applications 15
- Radiation Dose and Imaging 8
- Radiomics and Machine Learning in Medical Imaging 2
- Radiation top 5%
- Advanced Radiotherapy Techniques 2
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- Digital Radiography and Breast Imaging 20
- Biomedical Engineering top 5%
- Advanced X-ray and CT Imaging 9
- Artificial Intelligence top 10%
- AI in cancer detection 4
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- Breast Cancer Treatment Studies 3
- Co-authors
- John M. BooneKai YangThomas R. NelsonKaren K. LindforsJ. Anthony SeibertNathan J. PackardJoseph Y. LoLaurie L. Fajardo
- Partner nations
- United StatesCanada
In The Last Decade
Alexander L. C. Kwan
23 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 58
- Radiology, Nuclear Medicine and Imaging 957
- Radiation 190
- Pulmonary and Respiratory Medicine 670
- Biomedical Engineering 677
- Artificial Intelligence 146
Countries citing papers authored by Alexander L. C. Kwan
This map shows the geographic impact of Alexander L. C. Kwan'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 Alexander L. C. Kwan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexander L. C. Kwan more than expected).
Fields of papers citing papers by Alexander L. C. Kwan
This network shows the impact of papers produced by Alexander L. C. Kwan. 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 Alexander L. C. Kwan. The network helps show where Alexander L. C. Kwan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Alexander L. C. Kwan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 24 | |
| 2 | 2008 | 279 | |
| 3 | 2008 | 98 | |
| 4 | 2008 | 51 | |
| 5 | 2008 | 67 | |
| 6 | 2007 | 34 | |
| 7 | 2007 | 1 | |
| 8 | 2007 | 0 | |
| 9 | 2007 | 2 | |
| 10 | 2006 | 173 | |
| 11 | 2006 | 109 | |
| 12 | 2006 | 44 | |
| 13 | 2006 | 1 | |
| 14 | 2006 | 5 | |
| 15 | 2005 | 105 | |
| 16 | 2005 | 20 | |
| 17 | 2005 | 93 | |
| 18 | 2005 | 4 | |
| 19 | 2005 | 2 | |
| 20 | 2003 | 6 |
About Alexander L. C. Kwan
Alexander L. C. Kwan is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Radiation, Biomedical Engineering and Cancer Research, having authored 24 papers that have together received 1.1k indexed citations. Recurring topics across this work include Digital Radiography and Breast Imaging (20 papers), Medical Imaging Techniques and Applications (15 papers), Advanced X-ray and CT Imaging (9 papers), Radiation Dose and Imaging (8 papers), AI in cancer detection (4 papers), Breast Cancer Treatment Studies (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Advanced Radiotherapy Techniques (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (957 citations), Radiation (190 citations), Pulmonary and Respiratory Medicine (670 citations), Biomedical Engineering (677 citations) and Artificial Intelligence (146 citations). Alexander L. C. Kwan has collaborated with scholars based in United States and Canada. Frequent co-authors include John M. Boone, Kai Yang, Thomas R. Nelson, Karen K. Lindfors, J. Anthony Seibert, Nathan J. Packard, Joseph Y. Lo, Laurie L. Fajardo, Ehsan Samei and Martin J. Yaffe. Their work appears in journals such as Medical Physics, Radiology, American Journal of Roentgenology and Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.
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.