Xiaohan Yi
Impact in
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- Handwritten Text Recognition Techniques
- Image Processing and 3D Reconstruction
- Advanced Neural Network Applications
- Image Retrieval and Classification Techniques
- Advanced Image and Video Retrieval Techniques
- Currency Recognition and Detection
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- Vehicle License Plate Recognition
Papers in
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- Handwritten Text Recognition Techniques 4
- Image Processing and 3D Reconstruction 3
- Co-authors
- Liangcai Gao (5 shared papers)Zhi Tang (5 shared papers)Zhuoren Jiang (3 shared papers)Yuan Liao (2 shared papers)Xiaode Zhang (1 shared paper)Runtao Liu (1 shared paper)Jing Chen (2 shared papers)Peng Cao (2 shared papers)
- Journals
- Annals of Epidemiology (2 papers)Sleep Medicine (1 paper)Drug Design Development and Therapy (1 paper)Food Control (1 paper)Diabetes Research and Clinical Practice (1 paper)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Xiaohan Yi
12 papers receiving 231 citations
Peers
Comparison fields: 5 of 55
- Computer Vision and Pattern Recognition 165
- Media Technology 25
- Artificial Intelligence 49
- Computational Theory and Mathematics 22
- Cancer Research 16
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 25 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 | 2016 | 66 | |
| 2 | 2017 | 62 | |
| 3 | 2023 | 36 | |
| 4 | 2017 | 34 | |
| 5 | 2017 | 20 | |
| 6 | 2023 | 10 | |
| 7 | 2016 | 6 | |
| 8 | 2022 | 2 | |
| 9 | 2018 | 2 | |
| 10 | 2025 | 1 | |
| 11 | 2024 | 1 | |
| 12 | 2025 | 1 | |
| 13 | 2025 | 0 | |
| 14 | 2025 | 0 | |
| 15 | 2025 | 0 |
About Xiaohan Yi
Xiaohan Yi is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Molecular Biology, Computational Theory and Mathematics and Epidemiology, having authored 15 papers that have together received 241 indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (4 papers), Image Processing and 3D Reconstruction (3 papers), Healthcare Systems and Public Health (2 papers), Mathematics, Computing, and Information Processing (2 papers), MicroRNA in disease regulation (1 paper), Nanocomposite Films for Food Packaging (1 paper), Computational Drug Discovery Methods (1 paper) and Robot Manipulation and Learning (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (165 citations), Media Technology (25 citations), Artificial Intelligence (49 citations), Computational Theory and Mathematics (22 citations) and Cancer Research (16 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 Liao, Xiaode Zhang, Runtao Liu, Jing Chen, Peng Cao, Weiwei Fan and Meng Cao. Their work appears in journals such as Annals of Epidemiology, Sleep Medicine, Drug Design Development and Therapy, Food Control and Diabetes Research and Clinical Practice.
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.