Qiong Han
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- Radiomics and Machine Learning in Medical Imaging 4
- Artificial Intelligence top 10%
- AI in cancer detection 3
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- Medical Image Segmentation Techniques 6
- Image and Object Detection Techniques 2
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- Total Knee Arthroplasty Outcomes 3
- Knee injuries and reconstruction techniques 2
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- Medical Imaging and Analysis 3
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- Inclusion and Disability in Education and Sport 2
- Co-authors
- Yi ZhangXiaoqin WangNathan JacobsJinze LiuEdward J. EscottXiaofei ZhangGuoxin NiJiayao Jiang
- Journals
- International Journal of Hydrogen Energy (1 paper)International Journal of Radiation Oncology*Biology*Physics (2 papers)IEEE Transactions on Medical Imaging (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Qiong Han
31 papers receiving 363 citations
Peers
Comparison fields: 5 of 106
- Neurology 41
- Radiology, Nuclear Medicine and Imaging 106
- Otorhinolaryngology 20
- Health Informatics 6
- Artificial Intelligence 139
Countries citing papers authored by Qiong Han
This map shows the geographic impact of Qiong 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 Qiong Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qiong Han more than expected).
Fields of papers citing papers by Qiong Han
This network shows the impact of papers produced by Qiong 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 Qiong Han. The network helps show where Qiong Han may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Qiong Han, 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 | 2024 | 3 | |
| 2 | 2024 | 0 | |
| 3 | 2022 | 5 | |
| 4 | 2021 | 58 | |
| 5 | 2020 | 1 | |
| 6 | 2019 | 29 | |
| 7 | 2019 | 1 | |
| 8 | 2018 | 17 | |
| 9 | 2018 | 12 | |
| 10 | 2018 | 97 | |
| 11 | 2016 | 5 | |
| 12 | 2016 | 5 | |
| 13 | 2015 | 17 | |
| 14 | 2009 | 15 | |
| 15 | 2009 | 1 | |
| 16 | 2008 | 5 | |
| 17 | 2007 | 12 | |
| 18 | 2005 | 6 | |
| 19 | 2004 | 13 | |
| 20 | 2004 | 2 |
About Qiong Han
Qiong Han is a scholar working on Family Practice, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging, having authored 33 papers that have together received 384 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (6 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), AI in cancer detection (3 papers), Total Knee Arthroplasty Outcomes (3 papers), Medical Imaging and Analysis (3 papers), Knee injuries and reconstruction techniques (2 papers), Image and Object Detection Techniques (2 papers) and Inclusion and Disability in Education and Sport (2 papers). The work is most often cited by research in Neurology (41 citations), Radiology, Nuclear Medicine and Imaging (106 citations) and Otorhinolaryngology (20 citations). Qiong Han has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yi Zhang, Xiaoqin Wang, Nathan Jacobs, Jinze Liu, Edward J. Escott, Xiaofei Zhang, Guoxin Ni, Jiayao Jiang, Ziru Wang and Yan Chen. Their work appears in journals such as International Journal of Hydrogen Energy, 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.