Darryl Hwang
Impact in
- Health Informatics top 2%
-
- Radiomics and Machine Learning in Medical Imaging
- Advanced Neuroimaging Techniques and Applications
- MRI in cancer diagnosis
Papers in
-
- Radiomics and Machine Learning in Medical Imaging 26
- Advanced Neuroimaging Techniques and Applications 9
- MRI in cancer diagnosis 4
-
- Renal cell carcinoma treatment 16
- Co-authors
- Vinay Duddalwar (55 shared papers)Bino Varghese (41 shared papers)Steven Cen (43 shared papers)Inderbir S. Gill (31 shared papers)Bhushan Desai (16 shared papers)Mark S. Shiroishi (7 shared papers)Manju Aron (20 shared papers)Meng Law (8 shared papers)
- Journals
- The Journal of Urology (9 papers)Abdominal Radiology (3 papers)European Radiology (3 papers)Oncology (2 papers)Journal of Clinical Oncology (2 papers)
- Partner nations
- United StatesBrazilAustralia
In The Last Decade
Darryl Hwang
86 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 137
- Health Informatics 53
- Radiology, Nuclear Medicine and Imaging 658
- Pulmonary and Respiratory Medicine 496
- General Dentistry 12
- Biomedical Engineering 319
Countries citing papers authored by Darryl Hwang
This map shows the geographic impact of Darryl Hwang'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 Darryl Hwang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Darryl Hwang more than expected).
Fields of papers citing papers by Darryl Hwang
This network shows the impact of papers produced by Darryl Hwang. 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 Darryl Hwang. The network helps show where Darryl Hwang may publish in the future.
Co-authors
The 25 scholars most cited alongside Darryl Hwang, 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 93 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 241 | |
| 2 | 2019 | 184 | |
| 3 | 2013 | 92 | |
| 4 | 2020 | 91 | |
| 5 | 2009 | 73 | |
| 6 | 2021 | 69 | |
| 7 | 2018 | 64 | |
| 8 | 2019 | 63 | |
| 9 | 2020 | 56 | |
| 10 | 2019 | 55 | |
| 11 | 2020 | 49 | |
| 12 | 2014 | 44 | |
| 13 | 2016 | 41 | |
| 14 | 2018 | 40 | |
| 15 | 2015 | 38 | |
| 16 | 2015 | 34 | |
| 17 | 2013 | 33 | |
| 18 | 2018 | 33 | |
| 19 | 2020 | 33 | |
| 20 | 2017 | 31 |
About Darryl Hwang
Darryl Hwang is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Surgery, Biomedical Engineering and Artificial Intelligence, having authored 93 papers that have together received 1.9k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (26 papers), Renal cell carcinoma treatment (16 papers), AI in cancer detection (10 papers), Advanced Neuroimaging Techniques and Applications (9 papers), Advanced X-ray and CT Imaging (6 papers), Medical Image Segmentation Techniques (5 papers), Medical Imaging and Analysis (5 papers) and MRI in cancer diagnosis (4 papers). The work is most often cited by research in Health Informatics (53 citations), Radiology, Nuclear Medicine and Imaging (658 citations), Pulmonary and Respiratory Medicine (496 citations), General Dentistry (12 citations) and Biomedical Engineering (319 citations). Darryl Hwang has collaborated with scholars based in United States, Brazil and Australia. Frequent co-authors include Vinay Duddalwar, Bino Varghese, Steven Cen, Inderbir S. Gill, Bhushan Desai, Mark S. Shiroishi, Manju Aron, Meng Law, Xiaomeng Lei and Paul E. Kim. Their work appears in journals such as The Journal of Urology, Abdominal Radiology, European Radiology, Oncology and Journal of Clinical Oncology.
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.