Xulei Yang
Impact in
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- Advanced Neural Network Applications
- Medical Image Segmentation Techniques
Papers in
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- Advanced Neural Network Applications 11
- Medical Image Segmentation Techniques 11
- Generative Adversarial Networks and Image Synthesis 6
- Video Surveillance and Tracking Methods 5
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- AI in cancer detection 6
- Co-authors
- Zeng Zeng (16 shared papers)Song Qing (2 shared papers)Yi Su (8 shared papers)Rick Siow Mong Goh (1 shared paper)Zheng Qin (1 shared paper)Steven C. H. Hoi (2 shared papers)Zengxiang Li (1 shared paper)Vijay Chandrasekhar (2 shared papers)
- Journals
- Neurocomputing (4 papers)IEEE Access (2 papers)IEEE Journal on Selected Areas in Communications (1 paper)Multidimensional Systems and Signal Processing (1 paper)Journal of Intelligent & Robotic Systems (1 paper)
- Partner nations
- SingaporeChinaUnited States
In The Last Decade
Xulei Yang
55 papers receiving 553 citations
Peers
Comparison fields: 5 of 111
- Computer Vision and Pattern Recognition 181
- Health Informatics 11
- Radiology, Nuclear Medicine and Imaging 145
- Artificial Intelligence 143
- Media Technology 31
Countries citing papers authored by Xulei Yang
This map shows the geographic impact of Xulei Yang'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 Xulei Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xulei Yang more than expected).
Fields of papers citing papers by Xulei Yang
This network shows the impact of papers produced by Xulei Yang. 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 Xulei Yang. The network helps show where Xulei Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Xulei Yang, 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 64 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 63 | |
| 2 | 2006 | 52 | |
| 3 | 2018 | 50 | |
| 4 | 2018 | 36 | |
| 5 | 2018 | 34 | |
| 6 | 2017 | 27 | |
| 7 | 2007 | 20 | |
| 8 | 2017 | 20 | |
| 9 | 2022 | 17 | |
| 10 | 2016 | 17 | |
| 11 | 2022 | 15 | |
| 12 | 2019 | 15 | |
| 13 | 2019 | 14 | |
| 14 | 2018 | 13 | |
| 15 | 2023 | 12 | |
| 16 | 2020 | 12 | |
| 17 | 2018 | 12 | |
| 18 | 2015 | 11 | |
| 19 | 2023 | 10 | |
| 20 | 2020 | 10 |
About Xulei Yang
Xulei Yang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Control and Systems Engineering and Biomedical Engineering, having authored 64 papers that have together received 575 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (11 papers), Medical Image Segmentation Techniques (11 papers), Industrial Vision Systems and Defect Detection (6 papers), Advanced MRI Techniques and Applications (6 papers), AI in cancer detection (6 papers), Generative Adversarial Networks and Image Synthesis (6 papers), Video Surveillance and Tracking Methods (5 papers) and COVID-19 diagnosis using AI (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (181 citations), Health Informatics (11 citations), Radiology, Nuclear Medicine and Imaging (145 citations), Artificial Intelligence (143 citations) and Media Technology (31 citations). Xulei Yang has collaborated with scholars based in Singapore, China and United States. Frequent co-authors include Zeng Zeng, Song Qing, Yi Su, Rick Siow Mong Goh, Zheng Qin, Steven C. H. Hoi, Zengxiang Li, Vijay Chandrasekhar, Qing Song and Bharadwaj Veeravalli. Their work appears in journals such as Neurocomputing, IEEE Access, IEEE Journal on Selected Areas in Communications, Multidimensional Systems and Signal Processing and Journal of Intelligent & Robotic Systems.
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.