Chao Gou
Impact in
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- Advanced Neural Network Applications
- Video Surveillance and Tracking Methods
- Generative Adversarial Networks and Image Synthesis
- Face recognition and analysis
- Media Technology top 1%
- Vehicle License Plate Recognition
Papers in
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- Video Surveillance and Tracking Methods 14
- Advanced Neural Network Applications 13
- Face recognition and analysis 13
- Multimodal Machine Learning Applications 11
- Generative Adversarial Networks and Image Synthesis 11
- Face and Expression Recognition 7
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- Gaze Tracking and Assistive Technology 12
- Journals
- IEEE Transactions on Intelligent Vehicles (6 papers)IEEE Transactions on Intelligent Transportation Systems (5 papers)Pattern Recognition (4 papers)Information Fusion (3 papers)International Journal of Intelligent Systems (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Chao Gou
90 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 140
- Computer Vision and Pattern Recognition 1.2k
- Media Technology 311
- Human-Computer Interaction 160
- Artificial Intelligence 785
- Automotive Engineering 201
Countries citing papers authored by Chao Gou
This map shows the geographic impact of Chao Gou'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 Chao Gou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chao Gou more than expected).
Fields of papers citing papers by Chao Gou
This network shows the impact of papers produced by Chao Gou. 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 Chao Gou. The network helps show where Chao Gou may publish in the future.
Co-authors
The 25 scholars most cited alongside Chao Gou, 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 | 2025 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 19 | |
| 5 | 2023 | 37 | |
| 6 | 2023 | 6 | |
| 7 | 2022 | 26 | |
| 8 | 2022 | 20 | |
| 9 | 2022 | 4 | |
| 10 | 2022 | 3 | |
| 11 | 2022 | 11 | |
| 12 | 2021 | 5 | |
| 13 | 2021 | 32 | |
| 14 | 2021 | 45 | |
| 15 | 2021 | 4 | |
| 16 | 2020 | 22 | |
| 17 | 2020 | 4 | |
| 18 | 2019 | 39 | |
| 19 | 2018 | 26 | |
| 20 | 2017 | 90 |
About Chao Gou
Chao Gou is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction, Artificial Intelligence, Media Technology and Automotive Engineering, having authored 93 papers that have together received 2.4k indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (14 papers), Advanced Neural Network Applications (13 papers), Face recognition and analysis (13 papers), Gaze Tracking and Assistive Technology (12 papers), Multimodal Machine Learning Applications (11 papers), Generative Adversarial Networks and Image Synthesis (11 papers), Face and Expression Recognition (7 papers) and Autonomous Vehicle Technology and Safety (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.2k citations), Media Technology (311 citations), Human-Computer Interaction (160 citations), Artificial Intelligence (785 citations) and Automotive Engineering (201 citations). Chao Gou has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Fei‐Yue Wang, Kunfeng Wang, Wenbo Zheng, Lan Yan, Xinhu Zheng, Yilun Lin, Yanjie Duan, Yanjie Yao, Tianyu Shen and Qiang Ji. Their work appears in journals such as IEEE Transactions on Intelligent Vehicles, IEEE Transactions on Intelligent Transportation Systems, Pattern Recognition, Information Fusion and International Journal of Intelligent 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.