Guan’an Wang
Impact in
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- Video Surveillance and Tracking Methods
- Advanced Image and Video Retrieval Techniques
- Advanced Neural Network Applications
- Face recognition and analysis
- Generative Adversarial Networks and Image Synthesis
- Image Retrieval and Classification Techniques
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- Domain Adaptation and Few-Shot Learning
Papers in
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- Video Surveillance and Tracking Methods 11
- Advanced Image and Video Retrieval Techniques 4
- Image and Signal Denoising Methods 1
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- EEG and Brain-Computer Interfaces 1
- Co-authors
- Yang Yang (6 shared papers)侯增广 (7 shared papers)Jian Cheng (5 shared papers)Tianzhu Zhang (2 shared papers)Si Liu (1 shared paper)Gang Yu (1 shared paper)Shuo Yang (1 shared paper)Zhicheng Wang (1 shared paper)
- Journals
- IEEE Transactions on Neural Networks and Learning Systems (2 papers)Neural Networks (2 papers)Neural Processing Letters (1 paper)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)IEEE Signal Processing Letters (1 paper)
- Partner nations
- ChinaUnited KingdomMacao
In The Last Decade
Guan’an Wang
14 papers receiving 1.1k citations
Guan’an Wang's Hit Papers
Peers
Comparison fields: 5 of 27
- Computer Vision and Pattern Recognition 1k
- Artificial Intelligence 45
- Media Technology 6
- Automotive Engineering 5
- Signal Processing 3
Countries citing papers authored by Guan’an Wang
This map shows the geographic impact of Guan’an Wang'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 Guan’an Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guan’an Wang more than expected).
Fields of papers citing papers by Guan’an Wang
This network shows the impact of papers produced by Guan’an Wang. 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 Guan’an Wang. The network helps show where Guan’an Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Guan’an Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | RGB-Infrared Cross-Modality Person Re-Identification via Joint Pixel and Feature Alignment Hit paper breakdown → | 2019 | 448 |
| 2 | High-Order Information Matters: Learning Relation and Topology for Occluded Person Re-Identification Hit paper breakdown → | 2020 | 389 |
| 3 | 2020 | 76 | |
| 4 | 2020 | 48 | |
| 5 | 2021 | 43 | |
| 6 | 2018 | 35 | |
| 7 | 2019 | 21 | |
| 8 | 2021 | 19 | |
| 9 | 2021 | 15 | |
| 10 | 2024 | 8 | |
| 11 | 2021 | 5 | |
| 12 | 2022 | 4 | |
| 13 | 2023 | 2 | |
| 14 | 2022 | 1 | |
| 15 | 2024 | 0 |
About Guan’an Wang
Guan’an Wang is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience, Nuclear Energy and Engineering, Waste Management and Disposal and Infectious Diseases, having authored 15 papers that have together received 1.1k indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (11 papers), Advanced Image and Video Retrieval Techniques (4 papers), EEG and Brain-Computer Interfaces (1 paper) and Image and Signal Denoising Methods (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (1k citations), Artificial Intelligence (45 citations), Media Technology (6 citations), Automotive Engineering (5 citations) and Signal Processing (3 citations). Guan’an Wang has collaborated with scholars based in China, United Kingdom and Macao. Frequent co-authors include Yang Yang, 侯增广, Jian Cheng, Tianzhu Zhang, Si Liu, Gang Yu, Shuo Yang, Zhicheng Wang, Erjin Zhou and Shuliang Wang. Their work appears in journals such as IEEE Transactions on Neural Networks and Learning Systems, Neural Networks, Neural Processing Letters, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Signal Processing Letters.
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.