Bao H.
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
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- Radiomics and Machine Learning in Medical Imaging
- Advanced MRI Techniques and Applications
- Radiology practices and education
Papers in
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- Biomedical Text Mining and Ontologies 2
- Ubiquitin and proteasome pathways 1
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- Radiomics and Machine Learning in Medical Imaging 3
- Co-authors
- Constance R. Chu (2 shared papers)Ashley Williams (2 shared papers)Curtis P. Langlotz (1 shared paper)Christopher F. Beaulieu (1 shared paper)Sandip Biswal (3 shared papers)Freddie H. Fu (1 shared paper)Yongxian Qian (1 shared paper)Robin V. West (1 shared paper)
- Journals
- Journal of Digital Imaging (4 papers)Human Mutation (2 papers)Journal of Orthopaedic Research® (1 paper)Hand (1 paper)Radiographics (1 paper)
- Partner nations
- United StatesIndia
In The Last Decade
Bao H.
14 papers receiving 380 citations
Peers
Comparison fields: 5 of 50
- Health Informatics 37
- Radiology, Nuclear Medicine and Imaging 122
- Rheumatology 53
- Surgery 143
- Orthopedics and Sports Medicine 27
Countries citing papers authored by Bao H.
This map shows the geographic impact of Bao H.'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 Bao H. with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bao H. more than expected).
Fields of papers citing papers by Bao H.
This network shows the impact of papers produced by Bao H.. 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 Bao H.. The network helps show where Bao H. may publish in the future.
Co-authors
The 25 scholars most cited alongside Bao H., 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 | 2014 | 111 | |
| 2 | 2017 | 58 | |
| 3 | 2014 | 38 | |
| 4 | 2018 | 32 | |
| 5 | 2010 | 32 | |
| 6 | 2011 | 29 | |
| 7 | 2012 | 25 | |
| 8 | 2022 | 21 | |
| 9 | 2009 | 13 | |
| 10 | 2005 | 12 | |
| 11 | 2019 | 10 | |
| 12 | 2020 | 3 | |
| 13 | 2024 | 1 | |
| 14 | 2005 | 1 | |
| 15 | 2025 | 0 |
About Bao H.
Bao H. is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Surgery, Artificial Intelligence and Oncology, having authored 15 papers that have together received 386 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (3 papers), Knee injuries and reconstruction techniques (2 papers), Topic Modeling (2 papers), Medical Imaging and Analysis (2 papers), Artificial Intelligence in Healthcare and Education (2 papers), Biomedical Text Mining and Ontologies (2 papers), Ubiquitin and proteasome pathways (1 paper) and Osteoarthritis Treatment and Mechanisms (1 paper). The work is most often cited by research in Health Informatics (37 citations), Radiology, Nuclear Medicine and Imaging (122 citations), Rheumatology (53 citations), Surgery (143 citations) and Orthopedics and Sports Medicine (27 citations). Bao H. has collaborated with scholars based in United States and India. Frequent co-authors include Constance R. Chu, Ashley Williams, Curtis P. Langlotz, Christopher F. Beaulieu, Sandip Biswal, Freddie H. Fu, Yongxian Qian, Robin V. West, Andrew S. Wu and Daniel L. Rubin. Their work appears in journals such as Journal of Digital Imaging, Human Mutation, Journal of Orthopaedic Research®, Hand and Radiographics.
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.