Xuwang Yin
- Computer Vision and Pattern Recognition top 2%
- Media Technology top 1%
- Artificial Intelligence top 10%
- Information Systems
- Neurology
- Co-authors
- Hongwei HaoXu-Cheng YinKaizhu HuangVicente OrdóñezKhalid IqbalGustavo K. RohdeYan ZhuangAndrew M. Southerland
- Topics
- Handwritten Text Recognition Techniques (4 papers)Advanced Image and Video Retrieval Techniques (4 papers)Gaze Tracking and Assistive Technology (3 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Biomedical EngineeringPattern Recognition
- Partner nations
- United StatesChinaSaudi Arabia
In The Last Decade
Xuwang Yin
17 papers receiving 584 citations
Hit Papers
Peers
Comparison fields: 5 of 58
- Computer Vision and Pattern Recognition 546
- Media Technology 273
- Artificial Intelligence 96
- Information Systems 22
- Neurology 19
Countries citing papers authored by Xuwang Yin
This map shows the geographic impact of Xuwang 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 Xuwang Yin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xuwang Yin more than expected).
Fields of papers citing papers by Xuwang Yin
This network shows the impact of papers produced by Xuwang 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 Xuwang Yin. The network helps show where Xuwang Yin may publish in the future.
Co-authorship network of co-authors of Xuwang Yin
This figure shows the co-authorship network connecting the top 25 collaborators of Xuwang Yin. A scholar is included among the top collaborators of Xuwang Yin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Xuwang Yin. Xuwang Yin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 1 | |
| 3 | 7 | |
| 4 | 3 | |
| 5 | 2 | |
| 6 | Construction of an Evaluation System to Assess the Ecosystem Integrity of the Hun-Tai River | 3 |
| 7 | 18 | |
| 8 | 4 | |
| 9 | 7 | |
| 10 | 2 | |
| 11 | 15 | |
| 12 | 23 | |
| 13 | 3 | |
| 14 | Robust Text Detection in Natural Scene Imagesbreakdown → | 449 |
| 15 | 5 | |
| 16 | 21 | |
| 17 | 6 | |
| 18 | Effective text localization in natural scene images with MSER, geometry-based grouping and AdaBoost | 43 |
About Xuwang Yin
Xuwang Yin is a scholar working on Human-Computer Interaction, Complementary and Manual Therapy and Computer Vision and Pattern Recognition, having authored 18 papers that have together received 619 indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (4 papers), Advanced Image and Video Retrieval Techniques (4 papers) and Gaze Tracking and Assistive Technology (3 papers). The work is most often cited by research in Media Technology (273 citations), Computer Vision and Pattern Recognition (546 citations) and Human-Computer Interaction (18 citations). Xuwang Yin has collaborated with scholars based in United States, China and Saudi Arabia. Frequent co-authors include Hongwei Hao, Xu-Cheng Yin, Kaizhu Huang, Vicente Ordóñez, Khalid Iqbal, Gustavo K. Rohde, Yan Zhuang, Andrew M. Southerland, Mark McDonald and Paola Cascante-Bonilla. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Biomedical Engineering and Pattern Recognition.
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.