Heang‐Ping Chan
Impact in
- Radiology, Nuclear Medicine and Imaging top 0.05%
- Radiomics and Machine Learning in Medical Imaging
- Medical Imaging Techniques and Applications
- Health Informatics top 0.2%
Papers in
-
- Radiomics and Machine Learning in Medical Imaging 139
- Medical Imaging Techniques and Applications 72
-
- AI in cancer detection 186
- Co-authors
- Lubomir M. Hadjiiski (251 shared papers)Berkman Sahiner (181 shared papers)Mark A. Helvie (140 shared papers)Nicholas Petrick (73 shared papers)Ravi K. Samala (57 shared papers)Chuan Zhou (119 shared papers)Mitchell M. Goodsitt (48 shared papers)Jun Wei (107 shared papers)
- Journals
- Medical Physics (113 papers)Radiology (28 papers)Physics in Medicine and Biology (24 papers)Academic Radiology (17 papers)IEEE Transactions on Medical Imaging (8 papers)
- Partner nations
- United StatesChinaThailand
In The Last Decade
Heang‐Ping Chan
397 papers receiving 12.3k citations
Heang‐Ping Chan's Hit Papers
Peers
Comparison fields: 5 of 182
- Radiology, Nuclear Medicine and Imaging 6.3k
- Health Informatics 303
- Artificial Intelligence 6.2k
- Pulmonary and Respiratory Medicine 3.9k
- Computer Vision and Pattern Recognition 2.6k
Countries citing papers authored by Heang‐Ping Chan
This map shows the geographic impact of Heang‐Ping Chan'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 Heang‐Ping Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heang‐Ping Chan more than expected).
Fields of papers citing papers by Heang‐Ping Chan
This network shows the impact of papers produced by Heang‐Ping Chan. 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 Heang‐Ping Chan. The network helps show where Heang‐Ping Chan may publish in the future.
Co-authors
The 25 scholars most cited alongside Heang‐Ping Chan, 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 407 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Deep Learning in Medical Image Analysis Hit paper breakdown → | 2020 | 483 |
| 2 | 1996 | 310 | |
| 3 | 1990 | 273 | |
| 4 | 2020 | 238 | |
| 5 | 1987 | 235 | |
| 6 | 1995 | 234 | |
| 7 | 2002 | 224 | |
| 8 | 2008 | 213 | |
| 9 | 2016 | 211 | |
| 10 | 2006 | 211 | |
| 11 | 1999 | 188 | |
| 12 | 2016 | 181 | |
| 13 | 2006 | 175 | |
| 14 | 2018 | 175 | |
| 15 | 1995 | 159 | |
| 16 | 2017 | 158 | |
| 17 | 1995 | 157 | |
| 18 | 1998 | 155 | |
| 19 | 2017 | 154 | |
| 20 | 1998 | 154 |
About Heang‐Ping Chan
Heang‐Ping Chan is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Pulmonary and Respiratory Medicine, Oncology and Biomedical Engineering, having authored 407 papers that have together received 12.8k indexed citations. Recurring topics across this work include AI in cancer detection (186 papers), Radiomics and Machine Learning in Medical Imaging (139 papers), Digital Radiography and Breast Imaging (132 papers), Medical Imaging Techniques and Applications (72 papers), Colorectal Cancer Screening and Detection (50 papers), Advanced X-ray and CT Imaging (45 papers), Lung Cancer Diagnosis and Treatment (31 papers) and Bladder and Urothelial Cancer Treatments (26 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (6.3k citations), Health Informatics (303 citations), Artificial Intelligence (6.2k citations), Pulmonary and Respiratory Medicine (3.9k citations) and Computer Vision and Pattern Recognition (2.6k citations). Heang‐Ping Chan has collaborated with scholars based in United States, China and Thailand. Frequent co-authors include Lubomir M. Hadjiiski, Berkman Sahiner, Mark A. Helvie, Nicholas Petrick, Ravi K. Samala, Chuan Zhou, Mitchell M. Goodsitt, Jun Wei, Dorit D. Adler and Kunio Doi. Their work appears in journals such as Medical Physics, Radiology, Physics in Medicine and Biology, Academic Radiology 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.