Dar‐Ren Chen
Impact in
- Cancer Research top 2%
- Breast Cancer Treatment Studies
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- Radiomics and Machine Learning in Medical Imaging
- Ultrasound Imaging and Elastography
Papers in
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- AI in cancer detection 53
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- Radiomics and Machine Learning in Medical Imaging 22
- Ultrasound Imaging and Elastography 18
- Co-authors
- Ruey‐Feng Chang (30 shared papers)Yu-Len Huang (26 shared papers)Woo Kyung Moon (13 shared papers)Wen-Jie Wu (7 shared papers)Shou‐Jen Kuo (39 shared papers)Shou-Jen Kuo (14 shared papers)Shou‐Tung Chen (36 shared papers)Hung‐Wen Lai (31 shared papers)
- Journals
- Ultrasound in Medicine & Biology (19 papers)PLoS ONE (10 papers)World Journal of Surgical Oncology (9 papers)Breast Cancer (4 papers)Toxicology Letters (4 papers)
- Partner nations
- TaiwanSouth KoreaChina
In The Last Decade
Dar‐Ren Chen
194 papers receiving 5.3k citations
Peers
Comparison fields: 5 of 168
- Cancer Research 722
- Radiology, Nuclear Medicine and Imaging 1.0k
- Computer Vision and Pattern Recognition 887
- Artificial Intelligence 1.4k
- Pathology and Forensic Medicine 534
Countries citing papers authored by Dar‐Ren Chen
This map shows the geographic impact of Dar‐Ren Chen'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 Dar‐Ren Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dar‐Ren Chen more than expected).
Fields of papers citing papers by Dar‐Ren Chen
This network shows the impact of papers produced by Dar‐Ren Chen. 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 Dar‐Ren Chen. The network helps show where Dar‐Ren Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Dar‐Ren Chen, 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 204 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 259 | |
| 2 | 2002 | 225 | |
| 3 | 2009 | 217 | |
| 4 | 2002 | 160 | |
| 5 | 2005 | 151 | |
| 6 | 2004 | 148 | |
| 7 | 2000 | 139 | |
| 8 | 2020 | 134 | |
| 9 | 2003 | 111 | |
| 10 | 2005 | 107 | |
| 11 | 2005 | 98 | |
| 12 | 2003 | 92 | |
| 13 | 2001 | 85 | |
| 14 | 2003 | 85 | |
| 15 | 2007 | 79 | |
| 16 | 2014 | 71 | |
| 17 | 2013 | 66 | |
| 18 | 2011 | 65 | |
| 19 | 2012 | 64 | |
| 20 | Capsaicin-induced apoptosis in human breast cancer MCF-7 cells through caspase-independent pathway. | 2009 | 64 |
About Dar‐Ren Chen
Dar‐Ren Chen is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine, Cancer Research and Molecular Biology, having authored 204 papers that have together received 5.5k indexed citations. Recurring topics across this work include AI in cancer detection (53 papers), Breast Lesions and Carcinomas (38 papers), Breast Cancer Treatment Studies (30 papers), Radiomics and Machine Learning in Medical Imaging (22 papers), Ultrasound Imaging and Elastography (18 papers), Medical Image Segmentation Techniques (15 papers), Breast Implant and Reconstruction (14 papers) and Estrogen and related hormone effects (9 papers). The work is most often cited by research in Cancer Research (722 citations), Radiology, Nuclear Medicine and Imaging (1.0k citations), Computer Vision and Pattern Recognition (887 citations), Artificial Intelligence (1.4k citations) and Pathology and Forensic Medicine (534 citations). Dar‐Ren Chen has collaborated with scholars based in Taiwan, South Korea and China. Frequent co-authors include Ruey‐Feng Chang, Yu-Len Huang, Woo Kyung Moon, Wen-Jie Wu, Shou‐Jen Kuo, Shou-Jen Kuo, Shou‐Tung Chen, Hung‐Wen Lai, Shou-Tung Chen and Woo Kyung Moon. Their work appears in journals such as Ultrasound in Medicine & Biology, PLoS ONE, World Journal of Surgical Oncology, Breast Cancer and Toxicology Letters.
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.