Xiaohan Yi
Impact in
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- Handwritten Text Recognition Techniques
- Advanced Neural Network Applications
- Biophysics top 5%
- Cell Image Analysis Techniques
Papers in
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- Handwritten Text Recognition Techniques 5
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- Artificial Intelligence in Healthcare 2
- Co-authors
- Liangcai Gao (5 shared papers)Zhi Tang (5 shared papers)Zhuoren Jiang (3 shared papers)Yuan Jiang Liao (2 shared papers)Runtao Liu (1 shared paper)Xiaode Zhang (1 shared paper)Yuehan Wang (1 shared paper)Xianglong Xu (5 shared papers)
- Journals
- Annals of Epidemiology (3 papers)Diabetes Research and Clinical Practice (1 paper)Nature Methods (1 paper)Digital Health (1 paper)IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (1 paper)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Xiaohan Yi
11 papers receiving 347 citations
Peers
Comparison fields: 5 of 37
- Computer Vision and Pattern Recognition 259
- Biophysics 47
- Spectroscopy 12
- Computational Theory and Mathematics 10
- Artificial Intelligence 21
Countries citing papers authored by Xiaohan Yi
This map shows the geographic impact of Xiaohan Yi'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 Yi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaohan Yi more than expected).
Fields of papers citing papers by Xiaohan Yi
This network shows the impact of papers produced by Xiaohan Yi. 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 Yi. The network helps show where Xiaohan Yi may publish in the future.
Co-authors
The 19 scholars most cited alongside Xiaohan Yi, 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 | 2019 | 93 | |
| 2 | 2016 | 92 | |
| 3 | 2017 | 90 | |
| 4 | 2017 | 51 | |
| 5 | 2017 | 25 | |
| 6 | 2016 | 9 | |
| 7 | 2024 | 3 | |
| 8 | 2018 | 2 | |
| 9 | 2025 | 2 | |
| 10 | 2025 | 2 | |
| 11 | 2025 | 1 | |
| 12 | 2025 | 0 |
About Xiaohan Yi
Xiaohan Yi is a scholar working on Computer Vision and Pattern Recognition, Health Information Management, Oncology, Biophysics and Health, having authored 12 papers that have together received 370 indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (5 papers), Artificial Intelligence in Healthcare (2 papers), Colorectal Cancer Screening and Detection (1 paper), Health disparities and outcomes (1 paper), Global Cancer Incidence and Screening (1 paper), Mathematics, Computing, and Information Processing (1 paper), Helicobacter pylori-related gastroenterology studies (1 paper) and Aging, Health, and Disability (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (259 citations), Biophysics (47 citations), Spectroscopy (12 citations), Computational Theory and Mathematics (10 citations) and Artificial Intelligence (21 citations). Xiaohan Yi has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Liangcai Gao, Zhi Tang, Zhuoren Jiang, Yuan Jiang Liao, Runtao Liu, Xiaode Zhang, Yuehan Wang, Xianglong Xu, Lei Si and Zongyuan Ge. Their work appears in journals such as Annals of Epidemiology, Diabetes Research and Clinical Practice, Nature Methods, Digital Health and IEEE International Conference on Bioinformatics and Biomedicine (BIBM).
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.