Hujun Yin
Impact in
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- Face and Expression Recognition
- Image and Signal Denoising Methods
- Image Retrieval and Classification Techniques
- Face recognition and analysis
- Artificial Intelligence top 1%
- Neural Networks and Applications
Papers in
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- Face and Expression Recognition 32
- Image and Signal Denoising Methods 16
- Image Retrieval and Classification Techniques 12
- Face recognition and analysis 12
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- Neural Networks and Applications 44
- Co-authors
- N.M. Allinson (21 shared papers)Bruce Grieve (12 shared papers)Ni He (3 shared papers)Farshad Arvin (3 shared papers)Weilin Huang (5 shared papers)Joaquín Carrasco (3 shared papers)Hanlin Niu (3 shared papers)Barry Lennox (2 shared papers)
- Journals
- Neurocomputing (10 papers)International Journal of Neural Systems (9 papers)Neural Networks (6 papers)Physics of Fluids (4 papers)IEEE Transactions on Neural Networks and Learning Systems (3 papers)
- Partner nations
- United KingdomChinaSpain
In The Last Decade
Hujun Yin
156 papers receiving 2.4k citations
Hujun Yin's Hit Papers
Peers
Comparison fields: 5 of 149
- Computer Vision and Pattern Recognition 1.0k
- Artificial Intelligence 948
- Media Technology 246
- Signal Processing 273
- Analytical Chemistry 151
Countries citing papers authored by Hujun Yin
This map shows the geographic impact of Hujun 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 Hujun Yin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hujun Yin more than expected).
Fields of papers citing papers by Hujun Yin
This network shows the impact of papers produced by Hujun 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 Hujun Yin. The network helps show where Hujun Yin may publish in the future.
Co-authors
The 25 scholars most cited alongside Hujun Yin, 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 164 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Design and Experimental Validation of Deep Reinforcement Learning-Based Fast Trajectory Planning and Control for Mobile Robot in Unknown Environment Hit paper breakdown → | 2022 | 190 |
| 2 | 2002 | 131 | |
| 3 | 2022 | 91 | |
| 4 | 2001 | 77 | |
| 5 | 2019 | 72 | |
| 6 | 2009 | 63 | |
| 7 | 2002 | 61 | |
| 8 | 2019 | 59 | |
| 9 | 2021 | 50 | |
| 10 | 2023 | 47 | |
| 11 | 2006 | 46 | |
| 12 | 2022 | 43 | |
| 13 | 2002 | 41 | |
| 14 | 2004 | 40 | |
| 15 | 2007 | 39 | |
| 16 | 2017 | 39 | |
| 17 | 1995 | 39 | |
| 18 | 2018 | 37 | |
| 19 | 2019 | 36 | |
| 20 | 2014 | 36 |
About Hujun Yin
Hujun Yin is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Media Technology and Analytical Chemistry, having authored 164 papers that have together received 2.5k indexed citations. Recurring topics across this work include Neural Networks and Applications (44 papers), Face and Expression Recognition (32 papers), Spectroscopy and Chemometric Analyses (21 papers), Blind Source Separation Techniques (19 papers), Remote-Sensing Image Classification (16 papers), Image and Signal Denoising Methods (16 papers), Image Retrieval and Classification Techniques (12 papers) and Face recognition and analysis (12 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.0k citations), Artificial Intelligence (948 citations), Media Technology (246 citations), Signal Processing (273 citations) and Analytical Chemistry (151 citations). Hujun Yin has collaborated with scholars based in United Kingdom, China and Spain. Frequent co-authors include N.M. Allinson, Bruce Grieve, Ni He, Farshad Arvin, Weilin Huang, Joaquín Carrasco, Hanlin Niu, Barry Lennox, Boyan Xu and Yang Gao. Their work appears in journals such as Neurocomputing, International Journal of Neural Systems, Neural Networks, Physics of Fluids and IEEE Transactions on Neural Networks and Learning 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.