Hao Han
- Radiology, Nuclear Medicine and Imaging top 5%
- Pulmonary and Respiratory Medicine top 10%
- Biomedical Engineering
- Artificial Intelligence top 10%
- Clinical Psychology top 10%
- Co-authors
- Zhengrong LiangWilliam H. MooreBowen SongLihong LiFangfang HanWei ZhuHongbing LuChristopher Wong
- Topics
- Medical Imaging Techniques and Applications (14 papers)Advanced X-ray and CT Imaging (12 papers)Radiomics and Machine Learning in Medical Imaging (9 papers)
- Cited by
- Radiology, Nuclear Medicine and ImagingEndocrine and Autonomic SystemsPulmonary and Respiratory Medicine
- Journals
- PLoS ONEInternational Journal of Radiation Oncology*Biology*PhysicsIEEE Transactions on Medical Imaging
- Partner nations
- United StatesChinaCzechia
In The Last Decade
Hao Han
35 papers receiving 937 citations
Peers
Comparison fields: 5 of 104
- Radiology, Nuclear Medicine and Imaging 481
- Pulmonary and Respiratory Medicine 251
- Biomedical Engineering 198
- Artificial Intelligence 161
- Clinical Psychology 159
Countries citing papers authored by Hao Han
This map shows the geographic impact of Hao Han'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 Hao Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hao Han more than expected).
Fields of papers citing papers by Hao Han
This network shows the impact of papers produced by Hao Han. 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 Hao Han. The network helps show where Hao Han may publish in the future.
Co-authorship network of co-authors of Hao Han
This figure shows the co-authorship network connecting the top 25 collaborators of Hao Han. A scholar is included among the top collaborators of Hao Han based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hao Han. Hao Han is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 6 | |
| 3 | 2 | |
| 4 | 4 | |
| 5 | 14 | |
| 6 | 1 | |
| 7 | 19 | |
| 8 | 2 | |
| 9 | 33 | |
| 10 | 3 | |
| 11 | 23 | |
| 12 | 38 | |
| 13 | 206 | |
| 14 | 6 | |
| 15 | 1 | |
| 16 | 101 | |
| 17 | 23 | |
| 18 | 4 | |
| 19 | 10 | |
| 20 | 220 |
About Hao Han
Hao Han is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Computer Vision and Pattern Recognition, having authored 37 papers that have together received 965 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (14 papers), Advanced X-ray and CT Imaging (12 papers) and Radiomics and Machine Learning in Medical Imaging (9 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (481 citations), Endocrine and Autonomic Systems (81 citations) and Pulmonary and Respiratory Medicine (251 citations). Hao Han has collaborated with scholars based in United States, China and Czechia. Frequent co-authors include Zhengrong Liang, William H. Moore, Bowen Song, Lihong Li, Fangfang Han, Wei Zhu, Hongbing Lu, Christopher Wong, Nora D. Volkow and Millard Jayne. Their work appears in journals such as PLoS ONE, International Journal of Radiation Oncology*Biology*Physics and IEEE Transactions on Medical 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.