Bingxi He
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
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- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
Papers in
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- Radiomics and Machine Learning in Medical Imaging 9
- COVID-19 diagnosis using AI 2
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- Prostate Cancer Diagnosis and Treatment 2
- Lung Cancer Diagnosis and Treatment 2
- Co-authors
- Jie Tian (19 shared papers)Di Dong (16 shared papers)Mengjie Fang (8 shared papers)Xiangjun Wu (4 shared papers)Hongjun Li (2 shared papers)Zhipei Huang (4 shared papers)Xin Yang (2 shared papers)Hui Hui (3 shared papers)
- Journals
- Medical Physics (2 papers)Computers in Biology and Medicine (2 papers)Translational Lung Cancer Research (2 papers)Science China Information Sciences (1 paper)Journal of Magnetic Resonance Imaging (1 paper)
- Partner nations
- ChinaUnited StatesBulgaria
In The Last Decade
Bingxi He
24 papers receiving 914 citations
Peers
Comparison fields: 5 of 83
- Health Informatics 62
- Radiology, Nuclear Medicine and Imaging 564
- Otorhinolaryngology 33
- Pulmonary and Respiratory Medicine 243
- Artificial Intelligence 231
Countries citing papers authored by Bingxi He
This map shows the geographic impact of Bingxi 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 Bingxi He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bingxi He more than expected).
Fields of papers citing papers by Bingxi He
This network shows the impact of papers produced by Bingxi 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 Bingxi He. The network helps show where Bingxi He may publish in the future.
Co-authors
The 25 scholars most cited alongside Bingxi 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
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 212 | |
| 2 | 2020 | 147 | |
| 3 | 2020 | 115 | |
| 4 | 2020 | 56 | |
| 5 | 2022 | 56 | |
| 6 | 2020 | 47 | |
| 7 | 2020 | 45 | |
| 8 | 2021 | 36 | |
| 9 | 2021 | 34 | |
| 10 | 2013 | 30 | |
| 11 | 2022 | 22 | |
| 12 | 2022 | 22 | |
| 13 | 2021 | 18 | |
| 14 | 2022 | 15 | |
| 15 | 2020 | 15 | |
| 16 | 2023 | 15 | |
| 17 | 2025 | 14 | |
| 18 | 2022 | 10 | |
| 19 | 2023 | 7 | |
| 20 | 2023 | 4 |
About Bingxi He
Bingxi He is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Biomedical Engineering, Artificial Intelligence and Oncology, having authored 27 papers that have together received 927 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (9 papers), Synthesis and properties of polymers (2 papers), Prostate Cancer Diagnosis and Treatment (2 papers), COVID-19 diagnosis using AI (2 papers), Characterization and Applications of Magnetic Nanoparticles (2 papers), Lung Cancer Diagnosis and Treatment (2 papers), Endometrial and Cervical Cancer Treatments (2 papers) and Epoxy Resin Curing Processes (2 papers). The work is most often cited by research in Health Informatics (62 citations), Radiology, Nuclear Medicine and Imaging (564 citations), Otorhinolaryngology (33 citations), Pulmonary and Respiratory Medicine (243 citations) and Artificial Intelligence (231 citations). Bingxi He has collaborated with scholars based in China, United States and Bulgaria. Frequent co-authors include Jie Tian, Di Dong, Mengjie Fang, Xiangjun Wu, Hongjun Li, Zhipei Huang, Xin Yang, Hui Hui, Yongbei Zhu and Li Li. Their work appears in journals such as Medical Physics, Computers in Biology and Medicine, Translational Lung Cancer Research, Science China Information Sciences and Journal of Magnetic Resonance 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.