Xiaolin Huang
Impact in
- Computational Mathematics top 5%
-
- Face and Expression Recognition
- Image Enhancement Techniques
- Advanced Image Processing Techniques
- Image and Signal Denoising Methods
Papers in
-
- Face and Expression Recognition 23
- Advanced Neural Network Applications 18
-
- Anomaly Detection Techniques and Applications 18
- Adversarial Robustness in Machine Learning 17
- Neural Networks and Applications 14
- Machine Learning and ELM 12
- Co-authors
- Johan A. K. Suykens (33 shared papers)Chao Shang (8 shared papers)Jie Yang (36 shared papers)Dexian Huang (5 shared papers)R.Z. Wang (1 shared paper)Xiangqiang Kong (1 shared paper)Lei Shi (8 shared papers)Andreas Maier (16 shared papers)
In The Last Decade
Xiaolin Huang
209 papers receiving 3.9k citations
Peers
Comparison fields: 5 of 175
- Computational Mathematics 33
- Computer Vision and Pattern Recognition 1.1k
- Control and Systems Engineering 744
- Media Technology 271
- Artificial Intelligence 815
Countries citing papers authored by Xiaolin Huang
This map shows the geographic impact of Xiaolin Huang'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 Xiaolin Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaolin Huang more than expected).
Fields of papers citing papers by Xiaolin Huang
This network shows the impact of papers produced by Xiaolin Huang. 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 Xiaolin Huang. The network helps show where Xiaolin Huang may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaolin Huang, 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 223 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 246 | |
| 2 | 2004 | 179 | |
| 3 | 2017 | 152 | |
| 4 | 2008 | 105 | |
| 5 | 2018 | 83 | |
| 6 | 2015 | 82 | |
| 7 | 2020 | 79 | |
| 8 | 2021 | 78 | |
| 9 | 2016 | 77 | |
| 10 | 2019 | 70 | |
| 11 | 2021 | 67 | |
| 12 | 2015 | 65 | |
| 13 | 2020 | 62 | |
| 14 | 2018 | 61 | |
| 15 | 2014 | 60 | |
| 16 | 2021 | 59 | |
| 17 | 2015 | 58 | |
| 18 | 2018 | 52 | |
| 19 | 2023 | 51 | |
| 20 | 2014 | 51 |
About Xiaolin Huang
Xiaolin Huang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Control and Systems Engineering, Computational Mechanics and Biomedical Engineering, having authored 223 papers that have together received 4.0k indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (25 papers), Face and Expression Recognition (23 papers), Anomaly Detection Techniques and Applications (18 papers), Advanced Neural Network Applications (18 papers), Adversarial Robustness in Machine Learning (17 papers), Neural Networks and Applications (14 papers), Machine Learning and ELM (12 papers) and Fault Detection and Control Systems (11 papers). The work is most often cited by research in Computational Mathematics (33 citations), Computer Vision and Pattern Recognition (1.1k citations), Control and Systems Engineering (744 citations), Media Technology (271 citations) and Artificial Intelligence (815 citations). Xiaolin Huang has collaborated with scholars based in China, Belgium and Germany. Frequent co-authors include Johan A. K. Suykens, Chao Shang, Jie Yang, Dexian Huang, R.Z. Wang, Xiangqiang Kong, Lei Shi, Andreas Maier, Fengqi You and Wei Liu. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition, IEEE Transactions on Neural Networks and Learning Systems, Neurocomputing and Signal Processing.
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.