Xiaowei Yang
Impact in
- Computational Mathematics top 2%
-
- Face and Expression Recognition
Papers in
-
- Machine Learning and ELM 11
- Text and Document Classification Technologies 9
- Domain Adaptation and Few-Shot Learning 7
- Metaheuristic Optimization Algorithms Research 7
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- Face and Expression Recognition 28
- Image and Signal Denoising Methods 9
- Co-authors
- Lifang He (6 shared papers)Zhifeng Hao (21 shared papers)Jie Lü (3 shared papers)Guangquan Zhang (3 shared papers)Han Huang (16 shared papers)Jun Ma (1 shared paper)Yi Xiang (8 shared papers)Sentao Chen (6 shared papers)
- Journals
- Neurocomputing (11 papers)IEEE Transactions on Image Processing (5 papers)IEEE Transactions on Neural Networks and Learning Systems (5 papers)Soft Computing (4 papers)Pattern Recognition (4 papers)
- Partner nations
- ChinaAustraliaUnited Kingdom
In The Last Decade
Xiaowei Yang
90 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 138
- Computational Mathematics 53
- Computer Vision and Pattern Recognition 558
- Artificial Intelligence 795
- Media Technology 107
- Computational Theory and Mathematics 185
Countries citing papers authored by Xiaowei Yang
This map shows the geographic impact of Xiaowei 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 Xiaowei Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaowei Yang more than expected).
Fields of papers citing papers by Xiaowei Yang
This network shows the impact of papers produced by Xiaowei 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 Xiaowei Yang. The network helps show where Xiaowei Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaowei 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 92 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 227 | |
| 2 | 2014 | 117 | |
| 3 | 2013 | 101 | |
| 4 | 2008 | 79 | |
| 5 | 2019 | 78 | |
| 6 | 2021 | 52 | |
| 7 | 2020 | 46 | |
| 8 | 2020 | 43 | |
| 9 | 2008 | 43 | |
| 10 | 2019 | 36 | |
| 11 | 2019 | 35 | |
| 12 | 2009 | 34 | |
| 13 | 2009 | 32 | |
| 14 | 2018 | 32 | |
| 15 | 2009 | 31 | |
| 16 | 2003 | 29 | |
| 17 | 2015 | 29 | |
| 18 | 2014 | 28 | |
| 19 | 2016 | 28 | |
| 20 | 2023 | 28 |
About Xiaowei Yang
Xiaowei Yang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Control and Systems Engineering, Molecular Biology and Information Systems, having authored 92 papers that have together received 1.7k indexed citations. Recurring topics across this work include Face and Expression Recognition (28 papers), Advanced Algorithms and Applications (19 papers), Machine Learning and ELM (11 papers), Image and Signal Denoising Methods (9 papers), Text and Document Classification Technologies (9 papers), Domain Adaptation and Few-Shot Learning (7 papers), Metaheuristic Optimization Algorithms Research (7 papers) and Spectroscopy and Chemometric Analyses (6 papers). The work is most often cited by research in Computational Mathematics (53 citations), Computer Vision and Pattern Recognition (558 citations), Artificial Intelligence (795 citations), Media Technology (107 citations) and Computational Theory and Mathematics (185 citations). Xiaowei Yang has collaborated with scholars based in China, Australia and United Kingdom. Frequent co-authors include Lifang He, Zhifeng Hao, Jie Lü, Guangquan Zhang, Han Huang, Jun Ma, Yi Xiang, Sentao Chen, Le Han and Xiaolan Liu. Their work appears in journals such as Neurocomputing, IEEE Transactions on Image Processing, IEEE Transactions on Neural Networks and Learning Systems, Soft Computing 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.