Kuo Men
Impact in
- Radiation top 0.5%
- Advanced Radiotherapy Techniques
- Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education
Papers in
- Radiation 75
- Advanced Radiotherapy Techniques 75
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- Radiomics and Machine Learning in Medical Imaging 12
- Radiation Dose and Imaging 4
- Medical Imaging Techniques and Applications 3
- Co-authors
- Ye‐Xiong Li (17 shared papers)Jianrong Dai (45 shared papers)Jianrong Dai (15 shared papers)Junlin Yi (13 shared papers)Xinyuan Chen (13 shared papers)Xinyuan Chen (12 shared papers)Shulian Wang (10 shared papers)Huaizhi Geng (5 shared papers)
- Journals
- Medical Physics (23 papers)Frontiers in Oncology (16 papers)Physica Medica (13 papers)Radiotherapy and Oncology (8 papers)Journal of Applied Clinical Medical Physics (8 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Kuo Men
87 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 60
- Radiation 840
- Health Informatics 162
- Computer Vision and Pattern Recognition 606
- Radiology, Nuclear Medicine and Imaging 290
- Otorhinolaryngology 30
Countries citing papers authored by Kuo Men
This map shows the geographic impact of Kuo Men'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 Kuo Men with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kuo Men more than expected).
Fields of papers citing papers by Kuo Men
This network shows the impact of papers produced by Kuo Men. 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 Kuo Men. The network helps show where Kuo Men may publish in the future.
Co-authors
The 25 scholars most cited alongside Kuo Men, 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 102 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 262 | |
| 2 | 2017 | 176 | |
| 3 | 2018 | 158 | |
| 4 | 2018 | 135 | |
| 5 | 2019 | 78 | |
| 6 | 2020 | 61 | |
| 7 | 2018 | 52 | |
| 8 | 2018 | 48 | |
| 9 | 2020 | 32 | |
| 10 | 2020 | 29 | |
| 11 | 2021 | 29 | |
| 12 | 2019 | 26 | |
| 13 | 2022 | 26 | |
| 14 | 2020 | 23 | |
| 15 | 2021 | 22 | |
| 16 | 2020 | 17 | |
| 17 | 2021 | 17 | |
| 18 | 2017 | 15 | |
| 19 | 2021 | 15 | |
| 20 | 2015 | 14 |
About Kuo Men
Kuo Men is a scholar working on Radiation, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Health Informatics and Oral Surgery, having authored 102 papers that have together received 1.6k indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (75 papers), Medical Image Segmentation Techniques (21 papers), Radiomics and Machine Learning in Medical Imaging (12 papers), Artificial Intelligence in Healthcare and Education (4 papers), Dental Radiography and Imaging (4 papers), Radiation Dose and Imaging (4 papers), Quality and Safety in Healthcare (3 papers) and Medical Imaging Techniques and Applications (3 papers). The work is most often cited by research in Radiation (840 citations), Health Informatics (162 citations), Computer Vision and Pattern Recognition (606 citations), Radiology, Nuclear Medicine and Imaging (290 citations) and Otorhinolaryngology (30 citations). Kuo Men has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Ye‐Xiong Li, Jianrong Dai, Jianrong Dai, Junlin Yi, Xinyuan Chen, Xinyuan Chen, Shulian Wang, Huaizhi Geng, Ying Xiao and Bo Chen. Their work appears in journals such as Medical Physics, Frontiers in Oncology, Physica Medica, Radiotherapy and Oncology and Journal of Applied Clinical Medical Physics.
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.