Xiaolin Huang
Impact in
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- Face and Expression Recognition
- Image Enhancement Techniques
- Image and Signal Denoising Methods
- Advanced Image Processing Techniques
- Computational Mathematics top 5%
Papers in
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- Face and Expression Recognition 24
- Advanced Neural Network Applications 19
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- Anomaly Detection Techniques and Applications 19
- Adversarial Robustness in Machine Learning 18
- Machine Learning and ELM 14
- Neural Networks and Applications 14
- Co-authors
- Johan A. K. Suykens (33 shared papers)Chao Shang (8 shared papers)Jie Yang (42 shared papers)Dexian Huang (5 shared papers)Andreas Maier (19 shared papers)Ruzhu Z. Wang (1 shared paper)Xiangqiang Kong (1 shared paper)Lei Shi (8 shared papers)
In The Last Decade
Xiaolin Huang
232 papers receiving 4.5k citations
Peers
Comparison fields: 5 of 178
- Computer Vision and Pattern Recognition 1.2k
- Computational Mathematics 33
- Control and Systems Engineering 786
- Media Technology 285
- Artificial Intelligence 925
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 243 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 256 | |
| 2 | 2004 | 187 | |
| 3 | 2017 | 170 | |
| 4 | 2008 | 107 | |
| 5 | 2018 | 88 | |
| 6 | 2021 | 86 | |
| 7 | 2016 | 84 | |
| 8 | 2015 | 84 | |
| 9 | 2020 | 83 | |
| 10 | 2019 | 82 | |
| 11 | 2021 | 77 | |
| 12 | 2021 | 75 | |
| 13 | 2015 | 68 | |
| 14 | 2018 | 66 | |
| 15 | 2020 | 66 | |
| 16 | 2023 | 63 | |
| 17 | 2014 | 62 | |
| 18 | 2015 | 61 | |
| 19 | 2019 | 60 | |
| 20 | 2014 | 54 |
About Xiaolin Huang
Xiaolin Huang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computational Mechanics, Control and Systems Engineering and Radiology, Nuclear Medicine and Imaging, having authored 243 papers that have together received 4.5k indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (28 papers), Face and Expression Recognition (24 papers), Anomaly Detection Techniques and Applications (19 papers), Advanced Neural Network Applications (19 papers), Adversarial Robustness in Machine Learning (18 papers), Machine Learning and ELM (14 papers), Neural Networks and Applications (14 papers) and Fault Detection and Control Systems (12 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.2k citations), Computational Mathematics (33 citations), Control and Systems Engineering (786 citations), Media Technology (285 citations) and Artificial Intelligence (925 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, Andreas Maier, Ruzhu Z. Wang, Xiangqiang Kong, Lei Shi, Fengqi You and Wei Liu. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Neural Networks and Learning Systems, Pattern Recognition, Signal Processing and Neurocomputing.
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.