Xiaoting Yin
Impact in
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- Handwritten Text Recognition Techniques
- Image Processing and 3D Reconstruction
- Image Retrieval and Classification Techniques
- Advanced Image and Video Retrieval Techniques
Papers in
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- Advanced Vision and Imaging 3
- Video Surveillance and Tracking Methods 3
- Human Pose and Action Recognition 2
- Handwritten Text Recognition Techniques 2
- Image Retrieval and Classification Techniques 2
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- Optical Coherence Tomography Applications 3
- Co-authors
- Zhineng Chen (2 shared papers)Yu–Gang Jiang (2 shared papers)Yongkun Du (2 shared papers)Chenxia Li (2 shared papers)Caiyan Jia (2 shared papers)Yuning Du (1 shared paper)Kai Cheng (2 shared papers)Baoli Zhao (2 shared papers)
In The Last Decade
Xiaoting Yin
21 papers receiving 262 citations
Peers
Comparison fields: 5 of 86
- Biological Psychiatry 14
- Computer Vision and Pattern Recognition 110
- Media Technology 28
- Organic Chemistry 36
- Behavioral Neuroscience 4
Countries citing papers authored by Xiaoting Yin
This map shows the geographic impact of Xiaoting Yin'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 Xiaoting Yin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoting Yin more than expected).
Fields of papers citing papers by Xiaoting Yin
This network shows the impact of papers produced by Xiaoting Yin. 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 Xiaoting Yin. The network helps show where Xiaoting Yin may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoting Yin, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 104 | |
| 2 | 2023 | 30 | |
| 3 | 2023 | 21 | |
| 4 | 2018 | 18 | |
| 5 | 2023 | 13 | |
| 6 | 2022 | 13 | |
| 7 | 2023 | 12 | |
| 8 | 2021 | 10 | |
| 9 | 2022 | 10 | |
| 10 | 2018 | 8 | |
| 11 | 2022 | 8 | |
| 12 | 2025 | 7 | |
| 13 | 2019 | 5 | |
| 14 | 2024 | 4 | |
| 15 | 2022 | 4 | |
| 16 | 2023 | 4 | |
| 17 | 2024 | 1 | |
| 18 | 2022 | 1 | |
| 19 | 2024 | 1 | |
| 20 | 2024 | 1 |
About Xiaoting Yin
Xiaoting Yin is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering, Organic Chemistry, Molecular Biology and Ophthalmology, having authored 24 papers that have together received 276 indexed citations. Recurring topics across this work include Optical Coherence Tomography Applications (3 papers), Advanced Vision and Imaging (3 papers), Video Surveillance and Tracking Methods (3 papers), Human Pose and Action Recognition (2 papers), Handwritten Text Recognition Techniques (2 papers), Catalytic C–H Functionalization Methods (2 papers), Retinal Diseases and Treatments (2 papers) and Image Retrieval and Classification Techniques (2 papers). The work is most often cited by research in Biological Psychiatry (14 citations), Computer Vision and Pattern Recognition (110 citations), Media Technology (28 citations), Organic Chemistry (36 citations) and Behavioral Neuroscience (4 citations). Xiaoting Yin has collaborated with scholars based in China, Germany and Australia. Frequent co-authors include Zhineng Chen, Yu–Gang Jiang, Yongkun Du, Chenxia Li, Caiyan Jia, Yuning Du, Kai Cheng, Baoli Zhao, Peng Li and Mengyuan Li. Their work appears in journals such as IEEE Transactions on Intelligent Transportation Systems, Biomedical Optics Express, Frontiers in Plant Science, Food and Agricultural Immunology and Photonics.
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.