Qiu Chen
Impact in
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- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Face and Expression Recognition
- Image Retrieval and Classification Techniques
- Medical Image Segmentation Techniques
- Face recognition and analysis
- Artificial Intelligence top 5%
- Machine Learning and Data Classification
- Imbalanced Data Classification Techniques
Papers in
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- Face and Expression Recognition 23
- Advanced Image and Video Retrieval Techniques 16
- Advanced Neural Network Applications 11
- Image Retrieval and Classification Techniques 10
- Face recognition and analysis 6
- Video Analysis and Summarization 6
- Generative Adversarial Networks and Image Synthesis 3
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- Machine Learning and Data Classification 10
- Co-authors
- Feifei Lee (63 shared papers)Koji Kotani (35 shared papers)Liangxiao Jiang (4 shared papers)Li Liu (7 shared papers)Chaoqun Li (3 shared papers)Qian Zhang (10 shared papers)Tadahiro Ohmi (27 shared papers)Yagang Wang (7 shared papers)
In The Last Decade
Qiu Chen
90 papers receiving 939 citations
Peers
Comparison fields: 5 of 69
- Computer Vision and Pattern Recognition 521
- Artificial Intelligence 260
- Health Informatics 7
- Media Technology 25
- Radiology, Nuclear Medicine and Imaging 46
Countries citing papers authored by Qiu Chen
This map shows the geographic impact of Qiu Chen'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 Qiu Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qiu Chen more than expected).
Fields of papers citing papers by Qiu Chen
This network shows the impact of papers produced by Qiu Chen. 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 Qiu Chen. The network helps show where Qiu Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Qiu Chen, 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 107 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 82 | |
| 2 | 2020 | 56 | |
| 3 | 2015 | 45 | |
| 4 | 2020 | 42 | |
| 5 | 2018 | 38 | |
| 6 | 2024 | 37 | |
| 7 | 2024 | 35 | |
| 8 | 2003 | 32 | |
| 9 | 2015 | 31 | |
| 10 | 2019 | 29 | |
| 11 | 2016 | 26 | |
| 12 | 2023 | 26 | |
| 13 | 2021 | 24 | |
| 14 | 2021 | 22 | |
| 15 | 2022 | 22 | |
| 16 | 2019 | 21 | |
| 17 | 2023 | 21 | |
| 18 | 2019 | 18 | |
| 19 | 2020 | 18 | |
| 20 | 2020 | 17 |
About Qiu Chen
Qiu Chen is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Human-Computer Interaction, Statistics and Probability and Control and Systems Engineering, having authored 107 papers that have together received 994 indexed citations. Recurring topics across this work include Face and Expression Recognition (23 papers), Advanced Image and Video Retrieval Techniques (16 papers), Advanced Neural Network Applications (11 papers), Machine Learning and Data Classification (10 papers), Image Retrieval and Classification Techniques (10 papers), Face recognition and analysis (6 papers), Video Analysis and Summarization (6 papers) and Generative Adversarial Networks and Image Synthesis (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (521 citations), Artificial Intelligence (260 citations), Health Informatics (7 citations), Media Technology (25 citations) and Radiology, Nuclear Medicine and Imaging (46 citations). Qiu Chen has collaborated with scholars based in Japan, China and Canada. Frequent co-authors include Feifei Lee, Koji Kotani, Liangxiao Jiang, Li Liu, Chaoqun Li, Qian Zhang, Tadahiro Ohmi, Yagang Wang, T. Ohmi and Zhong Yin. Their work appears in journals such as IEEE Access, Expert Systems with Applications, Applied Soft Computing, Applied Intelligence and Pattern Recognition.
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.