Chaochen Gu
Impact in
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- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Handwritten Text Recognition Techniques
- Media Technology top 5%
Papers in ⓘ
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- Advanced Neural Network Applications 6
- Advanced Image and Video Retrieval Techniques 6
- Multimodal Machine Learning Applications 3
- Co-authors
- Kai Yang (6 shared papers)Kaijie Wu (31 shared papers)Xinping Guan (20 shared papers)Fei Zhang (2 shared papers)Yuchao Dai (1 shared paper)Yinghong Peng (5 shared papers)Jie Hu (5 shared papers)Changsheng Lu (7 shared papers)
- Journals
- Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science (4 papers)Applied Sciences (2 papers)Multimedia Tools and Applications (2 papers)Biomedical Materials (1 paper)Applied Surface Science (1 paper)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Chaochen Gu
56 papers receiving 542 citations
Peers
Comparison fields: 5 of 98
- Computer Vision and Pattern Recognition 212
- Media Technology 63
- Artificial Intelligence 128
- Industrial and Manufacturing Engineering 36
- Biophysics 20
Countries citing papers authored by Chaochen Gu
This map shows the geographic impact of Chaochen Gu'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 Chaochen Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chaochen Gu more than expected).
Fields of papers citing papers by Chaochen Gu
This network shows the impact of papers produced by Chaochen Gu. 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 Chaochen Gu. The network helps show where Chaochen Gu may publish in the future.
Co-authors
The 25 scholars most cited alongside Chaochen Gu, 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 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 101 | |
| 2 | 2009 | 44 | |
| 3 | 2002 | 43 | |
| 4 | 2011 | 30 | |
| 5 | 2022 | 29 | |
| 6 | 2018 | 22 | |
| 7 | 2008 | 19 | |
| 8 | 2023 | 17 | |
| 9 | 2017 | 16 | |
| 10 | 2020 | 16 | |
| 11 | 2020 | 16 | |
| 12 | 2015 | 16 | |
| 13 | 2008 | 16 | |
| 14 | 2023 | 15 | |
| 15 | 2015 | 14 | |
| 16 | 2015 | 12 | |
| 17 | 2016 | 11 | |
| 18 | 1994 | 10 | |
| 19 | 2022 | 8 | |
| 20 | 2013 | 8 |
About Chaochen Gu
Chaochen Gu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Control and Systems Engineering and Electrical and Electronic Engineering, having authored 63 papers that have together received 563 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (6 papers), Image Processing Techniques and Applications (6 papers), Shape Memory Alloy Transformations (6 papers), Advanced Image and Video Retrieval Techniques (6 papers), Robot Manipulation and Learning (4 papers), Neuroscience and Neural Engineering (3 papers), Robotics and Sensor-Based Localization (3 papers) and Multimodal Machine Learning Applications (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (212 citations), Media Technology (63 citations), Artificial Intelligence (128 citations), Industrial and Manufacturing Engineering (36 citations) and Biophysics (20 citations). Chaochen Gu has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Kai Yang, Kaijie Wu, Xinping Guan, Fei Zhang, Yuchao Dai, Yinghong Peng, Jie Hu, Changsheng Lu, Baoqing Yang and Sheng Li. Their work appears in journals such as Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science, Applied Sciences, Multimedia Tools and Applications, Biomedical Materials and Applied Surface Science.
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.