Wenjun He
Impact in
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- Radiation Dose and Imaging
- Medical Imaging Techniques and Applications
- Radiology practices and education
- Cardiac Imaging and Diagnostics
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- Head and Neck Cancer Studies
Papers in
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- Radiation Dose and Imaging 2
- Radiomics and Machine Learning in Medical Imaging 1
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- Telemedicine and Telehealth Implementation 1
- Co-authors
- Walter Huda (4 shared papers)Hai Yao (3 shared papers)Eugene Mah (2 shared papers)Leslie Lenert (4 shared papers)Li Lin (1 shared paper)Lulu Zhang (1 shared paper)Jihad S. Obeid (2 shared papers)Ying Sun (1 shared paper)
- Journals
- Medical Physics (3 papers)Journal of Personalized Medicine (1 paper)Journal of the American Medical Informatics Association (1 paper)International Journal of Radiation Oncology*Biology*Physics (1 paper)Journal of Clinical and Translational Science (2 papers)
- Partner nations
- United StatesChina
In The Last Decade
Wenjun He
11 papers receiving 193 citations
Peers
Comparison fields: 5 of 40
- Radiology, Nuclear Medicine and Imaging 95
- Otorhinolaryngology 7
- Radiological and Ultrasound Technology 6
- Biomedical Engineering 55
- Radiation 9
Countries citing papers authored by Wenjun He
This map shows the geographic impact of Wenjun He'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 Wenjun He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wenjun He more than expected).
Fields of papers citing papers by Wenjun He
This network shows the impact of papers produced by Wenjun He. 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 Wenjun He. The network helps show where Wenjun He may publish in the future.
Co-authors
The 25 scholars most cited alongside Wenjun He, 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 | 2011 | 141 | |
| 2 | 2019 | 14 | |
| 3 | 2010 | 10 | |
| 4 | 2014 | 7 | |
| 5 | 2022 | 7 | |
| 6 | 2022 | 6 | |
| 7 | 2021 | 5 | |
| 8 | 2019 | 4 | |
| 9 | 2021 | 3 | |
| 10 | MONTE CARLO MODELING BASED PATIENT DOSE OPTIMIZATION IN DIAGNOSTIC RADIOLOGY | 2014 | 1 |
| 11 | 2011 | 1 |
About Wenjun He
Wenjun He is a scholar working on Radiology, Nuclear Medicine and Imaging, Public Health, Environmental and Occupational Health, Economics and Econometrics, Biomedical Engineering and General Health Professions, having authored 11 papers that have together received 199 indexed citations. Recurring topics across this work include Radiation Dose and Imaging (2 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Advanced X-ray and CT Imaging (1 paper), Nutrition, Genetics, and Disease (1 paper), BRCA gene mutations in cancer (1 paper), Telemedicine and Telehealth Implementation (1 paper) and Mobile Health and mHealth Applications (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (95 citations), Otorhinolaryngology (7 citations), Radiological and Ultrasound Technology (6 citations), Biomedical Engineering (55 citations) and Radiation (9 citations). Wenjun He has collaborated with scholars based in United States and China. Frequent co-authors include Walter Huda, Hai Yao, Eugene Mah, Leslie Lenert, Li Lin, Lulu Zhang, Jihad S. Obeid, Ying Sun, Katie Kirchoff and Jia Kou. Their work appears in journals such as Medical Physics, Journal of Personalized Medicine, Journal of the American Medical Informatics Association, International Journal of Radiation Oncology*Biology*Physics and Journal of Clinical and Translational Science.
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.