Kun Han
Impact in
-
- Occupational Health and Safety Research
Papers in
-
- Medical Image Segmentation Techniques 4
-
- Software Engineering Research 3
- Co-authors
- Yang Liu (1 shared paper)Yun Lei (1 shared paper)Xiaohui Xie (6 shared papers)Shanlin Sun (6 shared papers)Qian Huang (2 shared papers)Xuming Chen (2 shared papers)Tingfeng Chen (1 shared paper)Zhipeng Lu (1 shared paper)
- Journals
- IEEE Access (2 papers)Radiotherapy and Oncology (1 paper)International Journal of Emerging Technologies in Learning (iJET) (1 paper)Medical Image Analysis (1 paper)Physical review. B. (1 paper)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Kun Han
20 papers receiving 308 citations
Peers
Comparison fields: 5 of 84
- Health Informatics 8
- Radiological and Ultrasound Technology 30
- Computer Vision and Pattern Recognition 94
- Radiation 37
- Radiology, Nuclear Medicine and Imaging 94
Countries citing papers authored by Kun Han
This map shows the geographic impact of Kun 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 Kun Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun Han more than expected).
Fields of papers citing papers by Kun Han
This network shows the impact of papers produced by Kun 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 Kun Han. The network helps show where Kun Han may publish in the future.
Co-authors
The 25 scholars most cited alongside Kun 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
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 102 | |
| 2 | 2017 | 58 | |
| 3 | 2021 | 50 | |
| 4 | 2020 | 22 | |
| 5 | 2012 | 18 | |
| 6 | 2021 | 18 | |
| 7 | 2019 | 13 | |
| 8 | 2023 | 10 | |
| 9 | 2023 | 6 | |
| 10 | 2024 | 5 | |
| 11 | 2013 | 5 | |
| 12 | 2012 | 5 | |
| 13 | 2021 | 4 | |
| 14 | 2012 | 3 | |
| 15 | 2017 | 2 | |
| 16 | 2024 | 2 | |
| 17 | A Forecasting Model for the Floodwave Propagation from the Hypothetical Earth Dam-Break | 1986 | 1 |
| 18 | 2024 | 1 | |
| 19 | 2014 | 1 | |
| 20 | 2019 | 1 |
About Kun Han
Kun Han is a scholar working on Computer Vision and Pattern Recognition, Information Systems, Artificial Intelligence, Biomedical Engineering and Safety, Risk, Reliability and Quality, having authored 22 papers that have together received 328 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (4 papers), Software Reliability and Analysis Research (3 papers), Software Engineering Research (3 papers), Natural Language Processing Techniques (2 papers), Medical Imaging Techniques and Applications (2 papers), Software Testing and Debugging Techniques (2 papers), Advanced X-ray and CT Imaging (2 papers) and Speech and dialogue systems (2 papers). The work is most often cited by research in Health Informatics (8 citations), Radiological and Ultrasound Technology (30 citations), Computer Vision and Pattern Recognition (94 citations), Radiation (37 citations) and Radiology, Nuclear Medicine and Imaging (94 citations). Kun Han has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Yang Liu, Yun Lei, Xiaohui Xie, Shanlin Sun, Qian Huang, Xuming Chen, Tingfeng Chen, Zhipeng Lu, Qianqian Liu and Yong Liu. Their work appears in journals such as IEEE Access, Radiotherapy and Oncology, International Journal of Emerging Technologies in Learning (iJET), Medical Image Analysis and Physical review. B..
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.