Chao Han
- Pulmonary and Respiratory Medicine top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Cardiology and Cardiovascular Medicine top 10%
- Computer Vision and Pattern Recognition top 10%
- Surgery
- Co-authors
- Thomas S. HatsukamiChun YuanNayak L. PolissarXiaoying WangShuai MaXiaodong ZhangYingpu CuiYing Luo
- Topics
- Radiomics and Machine Learning in Medical Imaging (9 papers)Prostate Cancer Diagnosis and Treatment (7 papers)Prostate Cancer Treatment and Research (6 papers)
- Cited by
- Radiology, Nuclear Medicine and ImagingPulmonary and Respiratory MedicineHealth Informatics
- Partner nations
- ChinaUnited StatesMalaysia
In The Last Decade
Chao Han
34 papers receiving 665 citations
Peers
Comparison fields: 5 of 94
- Pulmonary and Respiratory Medicine 430
- Radiology, Nuclear Medicine and Imaging 380
- Cardiology and Cardiovascular Medicine 148
- Computer Vision and Pattern Recognition 95
- Surgery 78
Countries citing papers authored by Chao Han
This map shows the geographic impact of Chao 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 Chao Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chao Han more than expected).
Fields of papers citing papers by Chao Han
This network shows the impact of papers produced by Chao 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 Chao Han. The network helps show where Chao Han may publish in the future.
Co-authorship network of co-authors of Chao Han
This figure shows the co-authorship network connecting the top 25 collaborators of Chao Han. A scholar is included among the top collaborators of Chao 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 Chao Han. Chao 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 | 0 | |
| 2 | 2 | |
| 3 | 7 | |
| 4 | 10 | |
| 5 | 26 | |
| 6 | 15 | |
| 7 | 21 | |
| 8 | 20 | |
| 9 | 23 | |
| 10 | 8 | |
| 11 | 47 | |
| 12 | 1 | |
| 13 | 54 | |
| 14 | 21 | |
| 15 | 36 | |
| 16 | 23 | |
| 17 | 48 | |
| 18 | 44 | |
| 19 | 44 | |
| 20 | 73 |
About Chao Han
Chao Han is a scholar working on Radiology, Nuclear Medicine and Imaging, Media Technology and Pulmonary and Respiratory Medicine, having authored 38 papers that have together received 681 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (9 papers), Prostate Cancer Diagnosis and Treatment (7 papers) and Prostate Cancer Treatment and Research (6 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (380 citations), Pulmonary and Respiratory Medicine (430 citations) and Health Informatics (9 citations). Chao Han has collaborated with scholars based in China, United States and Malaysia. Frequent co-authors include Thomas S. Hatsukami, Chun Yuan, Nayak L. Polissar, Xiaoying Wang, Shuai Ma, Xiaodong Zhang, Yingpu Cui, Ying Luo, Huihui Xie and Xiang Liu. Their work appears in journals such as Radiology, International Journal of Molecular Sciences and IEEE Transactions on Image Processing.
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.