Qi Qi
Impact in
-
- Image Enhancement Techniques
- Advanced Neural Network Applications
- Advanced Image Processing Techniques
- Advanced Vision and Imaging
- Image and Signal Denoising Methods
- Image and Video Quality Assessment
Papers in
-
- Image Enhancement Techniques 9
- Advanced Vision and Imaging 1
- Image and Signal Denoising Methods 1
- Advanced Neural Network Applications 1
-
- Corrosion Behavior and Inhibition 1
- Co-authors
- Kunqian Li (9 shared papers)Kun Sun (3 shared papers)Dalei Song (3 shared papers)Guojia Hou (2 shared papers)Haiyong Zheng (1 shared paper)Xiang Gao (1 shared paper)Q. M. Jonathan Wu (3 shared papers)Xueyang Fu (2 shared papers)
- Journals
- IEEE Transactions on Circuits and Systems for Video Technology (3 papers)Digital Signal Processing (1 paper)International Journal of Computer Vision (1 paper)IEEE Transactions on Geoscience and Remote Sensing (1 paper)Multimedia Tools and Applications (1 paper)
- Partner nations
- ChinaCanadaUnited States
In The Last Decade
Qi Qi
11 papers receiving 716 citations
Qi Qi's Hit Papers
Peers
Comparison fields: 5 of 30
- Computer Vision and Pattern Recognition 671
- Acoustics and Ultrasonics 2
- Media Technology 12
- Instrumentation 3
- Ocean Engineering 13
Countries citing papers authored by Qi Qi
This map shows the geographic impact of Qi 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 Qi Qi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qi Qi more than expected).
Fields of papers citing papers by Qi Qi
This network shows the impact of papers produced by Qi 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 Qi Qi. The network helps show where Qi Qi may publish in the future.
Co-authors
The 25 scholars most cited alongside Qi 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
| # | Work | ||
|---|---|---|---|
| 1 | SGUIE-Net: Semantic Attention Guided Underwater Image Enhancement With Multi-Scale Perception Hit paper breakdown → | 2022 | 199 |
| 2 | 2021 | 140 | |
| 3 | 2022 | 127 | |
| 4 | 2021 | 109 | |
| 5 | 2021 | 43 | |
| 6 | 2023 | 38 | |
| 7 | 2020 | 21 | |
| 8 | 2022 | 17 | |
| 9 | 2024 | 16 | |
| 10 | 2025 | 8 | |
| 11 | 2023 | 3 | |
| 12 | 2020 | 0 |
About Qi Qi
Qi Qi is a scholar working on Computer Vision and Pattern Recognition, Materials Chemistry, Nuclear Energy and Engineering, Waste Management and Disposal and Infectious Diseases, having authored 12 papers that have together received 721 indexed citations. Recurring topics across this work include Image Enhancement Techniques (9 papers), Advanced Vision and Imaging (1 paper), Image and Signal Denoising Methods (1 paper), Advanced Neural Network Applications (1 paper) and Corrosion Behavior and Inhibition (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (671 citations), Acoustics and Ultrasonics (2 citations), Media Technology (12 citations), Instrumentation (3 citations) and Ocean Engineering (13 citations). Qi Qi has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Kunqian Li, Kun Sun, Dalei Song, Guojia Hou, Haiyong Zheng, Xiang Gao, Q. M. Jonathan Wu, Xueyang Fu, Zheng-Jun Zha and Xinghao Ding. Their work appears in journals such as IEEE Transactions on Circuits and Systems for Video Technology, Digital Signal Processing, International Journal of Computer Vision, IEEE Transactions on Geoscience and Remote Sensing and Multimedia Tools and Applications.
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.