Wei Yin
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- Advanced Vision and Imaging 14
- Optical measurement and interference techniques 7
- Advanced Image and Video Retrieval Techniques 3
- Advanced Image Processing Techniques 2
- Image Enhancement Techniques 2
- Media Technology top 1%
- Image Processing Techniques and Applications 6
- Geology top 10%
- Surfaces, Coatings and Films top 10%
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- Robotics and Sensor-Based Localization 6
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- Adversarial Robustness in Machine Learning 2
Wei Yin
23 papers receiving 962 citations
Hit Papers
Peers
Comparison fields: 5 of 86
- Computer Vision and Pattern Recognition 666
- Media Technology 270
- Geology 61
- Computer Graphics and Computer-Aided Design 36
- Surfaces, Coatings and Films 72
Countries citing papers authored by Wei Yin
This map shows the geographic impact of Wei 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 Wei Yin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Yin more than expected).
Fields of papers citing papers by Wei Yin
This network shows the impact of papers produced by Wei 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 Wei Yin. The network helps show where Wei Yin may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Wei 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 41 | |
| 7 | 2023 | 16 | |
| 8 | 2023 | 7 | |
| 9 | 2023 | 56 | |
| 10 | 2022 | 3 | |
| 11 | 2022 | 23 | |
| 12 | 2022 | 0 | |
| 13 | 2022 | 42 | |
| 14 | 2021 | 43 | |
| 15 | 2021 | 29 | |
| 16 | 2020 | 44 | |
| 17 | 2016 | 158 | |
| 18 | 2013 | 32 | |
| 19 | 2013 | 7 | |
| 20 | Ultra Wide Band Tomography - Experimental Hardware and Image Reconstruction | 2007 | 1 |
About Wei Yin
Wei Yin is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Software, Aerospace Engineering and Ecological Modeling, having authored 30 papers that have together received 987 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (14 papers), Optical measurement and interference techniques (7 papers), Image Processing Techniques and Applications (6 papers), Robotics and Sensor-Based Localization (6 papers), Advanced Image and Video Retrieval Techniques (3 papers), Adversarial Robustness in Machine Learning (2 papers), Advanced Image Processing Techniques (2 papers) and Image Enhancement Techniques (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (666 citations), Media Technology (270 citations), Geology (61 citations), Computer Graphics and Computer-Aided Design (36 citations) and Surfaces, Coatings and Films (72 citations). Wei Yin has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Chunhua Shen, Yifan Liu, Youliang Yan, Junqiu Zhang, Luquan Ren, Shichao Niu, Zhengzhi Mu, Zhiwu Han, Wen Li and Jianming Zhang. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of Central South University, Computers and Electronics in Agriculture, IEEE Transactions on Robotics and China Geology.
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.