Lin Qi
Impact in
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- Image and Signal Denoising Methods
- Human Pose and Action Recognition
- Face and Expression Recognition
- Signal Processing top 5%
Papers in
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- Face and Expression Recognition 26
- Image and Signal Denoising Methods 24
- Human Pose and Action Recognition 22
- Advanced Image and Video Retrieval Techniques 11
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- Blind Source Separation Techniques 12
- Co-authors
- Ling Guan (41 shared papers)Lei Gao (23 shared papers)Yun Tie (30 shared papers)Enqing Chen (20 shared papers)Naimul Khan (5 shared papers)Xin Guo (22 shared papers)Deyin Liu (7 shared papers)Xiaomin Mu (11 shared papers)
In The Last Decade
Lin Qi
110 papers receiving 795 citations
Peers
Comparison fields: 5 of 93
- Computer Vision and Pattern Recognition 460
- Signal Processing 147
- Human-Computer Interaction 70
- Applied Mathematics 131
- Media Technology 70
Countries citing papers authored by Lin Qi
This map shows the geographic impact of Lin Qi'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 Lin Qi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lin Qi more than expected).
Fields of papers citing papers by Lin Qi
This network shows the impact of papers produced by Lin Qi. 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 Lin Qi. The network helps show where Lin Qi may publish in the future.
Co-authors
The 25 scholars most cited alongside Lin Qi, 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 117 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 205 | |
| 2 | 2020 | 54 | |
| 3 | 2019 | 32 | |
| 4 | 2022 | 32 | |
| 5 | 2012 | 22 | |
| 6 | 2022 | 21 | |
| 7 | 2017 | 20 | |
| 8 | 2021 | 18 | |
| 9 | 2020 | 18 | |
| 10 | 2020 | 17 | |
| 11 | 2018 | 14 | |
| 12 | 2003 | 12 | |
| 13 | 2015 | 11 | |
| 14 | 2006 | 11 | |
| 15 | 2020 | 11 | |
| 16 | 2022 | 11 | |
| 17 | 2015 | 10 | |
| 18 | 2009 | 10 | |
| 19 | 2019 | 10 | |
| 20 | 2018 | 9 |
About Lin Qi
Lin Qi is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Biomedical Engineering, Artificial Intelligence and Applied Mathematics, having authored 117 papers that have together received 837 indexed citations. Recurring topics across this work include Face and Expression Recognition (26 papers), Image and Signal Denoising Methods (24 papers), Human Pose and Action Recognition (22 papers), Mathematical Analysis and Transform Methods (18 papers), Gait Recognition and Analysis (14 papers), Blind Source Separation Techniques (12 papers), Hand Gesture Recognition Systems (11 papers) and Advanced Image and Video Retrieval Techniques (11 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (460 citations), Signal Processing (147 citations), Human-Computer Interaction (70 citations), Applied Mathematics (131 citations) and Media Technology (70 citations). Lin Qi has collaborated with scholars based in China, Canada and Australia. Frequent co-authors include Ling Guan, Lei Gao, Yun Tie, Enqing Chen, Naimul Khan, Xin Guo, Deyin Liu, Xiaomin Mu, Zia Ullah and Shouyi Yang. Their work appears in journals such as Journal of Visual Communication and Image Representation, Neurocomputing, IEEE Access, IEEE Transactions on Multimedia and IEEE Multimedia.
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.