Xiaohan Xing
Impact in
- Gastroenterology top 5%
- Gastrointestinal Bleeding Diagnosis and Treatment
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- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
Papers in
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- Gastrointestinal Bleeding Diagnosis and Treatment 7
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- Radiomics and Machine Learning in Medical Imaging 6
- COVID-19 diagnosis using AI 3
- Retinal Imaging and Analysis 3
- Co-authors
- Max Q.‐H. Meng (13 shared papers)Yixuan Yuan (12 shared papers)Xiao Jia (6 shared papers)Lei Xing (3 shared papers)Fan Yang (5 shared papers)Junzhou Huang (5 shared papers)Jianhua Yao (5 shared papers)Jun Zhang (4 shared papers)
- Journals
- Medical Image Analysis (5 papers)Bioinformatics (1 paper)IEEE Transactions on Automation Science and Engineering (1 paper)Computerized Medical Imaging and Graphics (1 paper)IEEE Transactions on Medical Imaging (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Xiaohan Xing
31 papers receiving 553 citations
Peers
Comparison fields: 5 of 76
- Gastroenterology 79
- Radiology, Nuclear Medicine and Imaging 211
- Computer Vision and Pattern Recognition 165
- Artificial Intelligence 233
- Oncology 150
Countries citing papers authored by Xiaohan Xing
This map shows the geographic impact of Xiaohan Xing'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 Xiaohan Xing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaohan Xing more than expected).
Fields of papers citing papers by Xiaohan Xing
This network shows the impact of papers produced by Xiaohan Xing. 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 Xiaohan Xing. The network helps show where Xiaohan Xing may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaohan Xing, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 74 | |
| 2 | 2019 | 73 | |
| 3 | 2021 | 65 | |
| 4 | 2020 | 41 | |
| 5 | 2018 | 38 | |
| 6 | 2022 | 37 | |
| 7 | 2021 | 30 | |
| 8 | 2021 | 26 | |
| 9 | 2023 | 21 | |
| 10 | 2023 | 20 | |
| 11 | 2022 | 18 | |
| 12 | 2022 | 17 | |
| 13 | 2019 | 14 | |
| 14 | 2023 | 14 | |
| 15 | 2025 | 13 | |
| 16 | 2022 | 11 | |
| 17 | 2021 | 10 | |
| 18 | 2023 | 8 | |
| 19 | 2024 | 5 | |
| 20 | 2025 | 4 |
About Xiaohan Xing
Xiaohan Xing is a scholar working on Gastroenterology, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Artificial Intelligence and Oncology, having authored 33 papers that have together received 558 indexed citations. Recurring topics across this work include AI in cancer detection (9 papers), Gastrointestinal Bleeding Diagnosis and Treatment (7 papers), Colorectal Cancer Screening and Detection (7 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Medical Image Segmentation Techniques (5 papers), COVID-19 diagnosis using AI (3 papers), Retinal Imaging and Analysis (3 papers) and Digital Imaging for Blood Diseases (2 papers). The work is most often cited by research in Gastroenterology (79 citations), Radiology, Nuclear Medicine and Imaging (211 citations), Computer Vision and Pattern Recognition (165 citations), Artificial Intelligence (233 citations) and Oncology (150 citations). Xiaohan Xing has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Max Q.‐H. Meng, Yixuan Yuan, Xiao Jia, Lei Xing, Fan Yang, Junzhou Huang, Jianhua Yao, Jun Zhang, Zhen Chen and Mingxuan Gao. Their work appears in journals such as Medical Image Analysis, Bioinformatics, IEEE Transactions on Automation Science and Engineering, Computerized Medical Imaging and Graphics 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.