Hanqing Chao
- Biomedical Engineering top 5%
- Computer Vision and Pattern Recognition top 2%
- Human-Computer Interaction top 2%
- Radiology, Nuclear Medicine and Imaging top 10%
- Endocrinology, Diabetes and Metabolism top 10%
- Co-authors
- Jianfeng FengJunping ZhangYiwei HeKun WangPingkun YanGe WangMannudeep K. KalraBradford J. Wood
- Topics
- Radiomics and Machine Learning in Medical Imaging (3 papers)Artificial Intelligence in Healthcare and Education (3 papers)Explainable Artificial Intelligence (XAI) (2 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Image Processing
- Partner nations
- United StatesChinaItaly
In The Last Decade
Hanqing Chao
14 papers receiving 663 citations
Hit Papers
Peers
Comparison fields: 5 of 65
- Biomedical Engineering 511
- Computer Vision and Pattern Recognition 449
- Human-Computer Interaction 177
- Radiology, Nuclear Medicine and Imaging 114
- Endocrinology, Diabetes and Metabolism 99
Countries citing papers authored by Hanqing Chao
This map shows the geographic impact of Hanqing Chao'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 Hanqing Chao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hanqing Chao more than expected).
Fields of papers citing papers by Hanqing Chao
This network shows the impact of papers produced by Hanqing Chao. 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 Hanqing Chao. The network helps show where Hanqing Chao may publish in the future.
Co-authorship network of co-authors of Hanqing Chao
This figure shows the co-authorship network connecting the top 25 collaborators of Hanqing Chao. A scholar is included among the top collaborators of Hanqing Chao 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 Hanqing Chao. Hanqing Chao 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 | 4 | |
| 3 | 2 | |
| 4 | 5 | |
| 5 | 3 | |
| 6 | 20 | |
| 7 | 12 | |
| 8 | 6 | |
| 9 | 50 | |
| 10 | 3 | |
| 11 | 46 | |
| 12 | 24 | |
| 13 | 122 | |
| 14 | 3 | |
| 15 | GaitSet: Regarding Gait as a Set for Cross-View Gait Recognitionbreakdown → | 375 |
About Hanqing Chao
Hanqing Chao is a scholar working on Health Informatics, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 15 papers that have together received 675 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (3 papers), Artificial Intelligence in Healthcare and Education (3 papers) and Explainable Artificial Intelligence (XAI) (2 papers). The work is most often cited by research in Human-Computer Interaction (177 citations), Health Informatics (34 citations) and Computer Vision and Pattern Recognition (449 citations). Hanqing Chao has collaborated with scholars based in United States, China and Italy. Frequent co-authors include Jianfeng Feng, Junping Zhang, Yiwei He, Kun Wang, Pingkun Yan, Ge Wang, Mannudeep K. Kalra, Bradford J. Wood, Sheng Xu and Xi Fang. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence 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.