Kuo Men
Impact in
- Radiation top 0.5%
- Advanced Radiotherapy Techniques
- Health Informatics top 2%
Papers in
- Radiation 56
- Advanced Radiotherapy Techniques 56
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- Medical Imaging Techniques and Applications 12
- Radiomics and Machine Learning in Medical Imaging 8
- Co-authors
- Ye‐Xiong Li (17 shared papers)Jianrong Dai (15 shared papers)Junlin Yi (13 shared papers)Jianrong Dai (21 shared papers)Xinyuan Chen (13 shared papers)Xinyuan Chen (12 shared papers)H. Geng (5 shared papers)Ying Xiao (5 shared papers)
- Journals
- Medical Physics (22 papers)Frontiers in Oncology (15 papers)Physica Medica (13 papers)Journal of Applied Clinical Medical Physics (7 papers)Radiotherapy and Oncology (6 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Kuo Men
81 papers receiving 1.4k citations
Kuo Men's Hit Papers
Peers
Comparison fields: 5 of 74
- Radiation 709
- Health Informatics 62
- Radiology, Nuclear Medicine and Imaging 666
- Otorhinolaryngology 99
- Neurology 58
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 91 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Automatic segmentation of the clinical target volume and organs at risk in the planning Hit paper breakdown → | 2017 | 244 |
| 2 | 2017 | 159 | |
| 3 | 2018 | 148 | |
| 4 | 2018 | 115 | |
| 5 | 2019 | 70 | |
| 6 | 2020 | 53 | |
| 7 | 2018 | 50 | |
| 8 | 2018 | 42 | |
| 9 | 2021 | 28 | |
| 10 | 2020 | 27 | |
| 11 | 2020 | 27 | |
| 12 | 2020 | 23 | |
| 13 | 2019 | 22 | |
| 14 | 2022 | 21 | |
| 15 | 2021 | 20 | |
| 16 | 2020 | 19 | |
| 17 | 2021 | 14 | |
| 18 | 2021 | 14 | |
| 19 | 2017 | 14 | |
| 20 | 2023 | 14 |
About Kuo Men
Kuo Men is a scholar working on Radiation, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Biomedical Engineering and Otorhinolaryngology, having authored 91 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (56 papers), Medical Imaging Techniques and Applications (12 papers), Radiomics and Machine Learning in Medical Imaging (8 papers), Advanced X-ray and CT Imaging (6 papers), Radiation Therapy and Dosimetry (6 papers), Head and Neck Cancer Studies (4 papers), Lung Cancer Diagnosis and Treatment (4 papers) and Esophageal Cancer Research and Treatment (3 papers). The work is most often cited by research in Radiation (709 citations), Health Informatics (62 citations), Radiology, Nuclear Medicine and Imaging (666 citations), Otorhinolaryngology (99 citations) and Neurology (58 citations). Kuo Men has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Ye‐Xiong Li, Jianrong Dai, Junlin Yi, Jianrong Dai, Xinyuan Chen, Jianrong Dai, Xinyuan Chen, H. Geng, Ying Xiao and Shulian Wang. Their work appears in journals such as Medical Physics, Frontiers in Oncology, Physica Medica, Journal of Applied Clinical Medical Physics and Radiotherapy and Oncology.
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.