Can Qin
Impact in
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- Advanced Image Processing Techniques
- Advanced Vision and Imaging
- Advanced Neural Network Applications
- Image and Signal Denoising Methods
- Advanced Image and Video Retrieval Techniques
- Media Technology top 5%
- Remote-Sensing Image Classification
- Advanced Image Fusion Techniques
Papers in
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- Multimodal Machine Learning Applications 7
- Advanced Image Processing Techniques 4
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- Domain Adaptation and Few-Shot Learning 8
- Co-authors
- Yun Fu (17 shared papers)Yulun Zhang (8 shared papers)Lichen Wang (7 shared papers)Huan Wang (3 shared papers)Wenping Ma (3 shared papers)Yue Wu (4 shared papers)Changyu Deng (2 shared papers)Wei Lu (2 shared papers)
- Journals
- IEEE Transactions on Image Processing (3 papers)Energy (3 papers)International Journal of STD & AIDS (1 paper)Nature Communications (1 paper)Frontiers in Psychology (1 paper)
- Partner nations
- ChinaUnited StatesMexico
In The Last Decade
Can Qin
50 papers receiving 599 citations
Peers
Comparison fields: 5 of 119
- Computer Vision and Pattern Recognition 272
- Media Technology 114
- Artificial Intelligence 165
- Geology 20
- Computational Mathematics 2
Countries citing papers authored by Can Qin
This map shows the geographic impact of Can Qin'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 Can Qin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Can Qin more than expected).
Fields of papers citing papers by Can Qin
This network shows the impact of papers produced by Can Qin. 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 Can Qin. The network helps show where Can Qin may publish in the future.
Co-authors
The 25 scholars most cited alongside Can Qin, 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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 73 | |
| 2 | 2022 | 69 | |
| 3 | 2021 | 61 | |
| 4 | 2019 | 37 | |
| 5 | 2019 | 32 | |
| 6 | 2022 | 27 | |
| 7 | 2020 | 25 | |
| 8 | 2023 | 23 | |
| 9 | 2019 | 21 | |
| 10 | Aligned Structured Sparsity Learning for Efficient Image Super-Resolution | 2021 | 20 |
| 11 | 2021 | 18 | |
| 12 | 2022 | 15 | |
| 13 | 2020 | 14 | |
| 14 | 2023 | 13 | |
| 15 | 2022 | 12 | |
| 16 | 2024 | 12 | |
| 17 | Opposite Structure Learning for Semi-supervised Domain Adaptation | 2020 | 10 |
| 18 | 2024 | 9 | |
| 19 | 2024 | 9 | |
| 20 | 2023 | 9 |
About Can Qin
Can Qin is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Electrical and Electronic Engineering, Ocean Engineering and Signal Processing, having authored 51 papers that have together received 613 indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (8 papers), Integrated Energy Systems Optimization (8 papers), Multimodal Machine Learning Applications (7 papers), Reservoir Engineering and Simulation Methods (5 papers), Advanced Image Processing Techniques (4 papers), Image Processing Techniques and Applications (3 papers), Oil and Gas Production Techniques (3 papers) and Advanced Multi-Objective Optimization Algorithms (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (272 citations), Media Technology (114 citations), Artificial Intelligence (165 citations), Geology (20 citations) and Computational Mathematics (2 citations). Can Qin has collaborated with scholars based in China, United States and Mexico. Frequent co-authors include Yun Fu, Yulun Zhang, Lichen Wang, Huan Wang, Wenping Ma, Yue Wu, Changyu Deng, Wei Lu, Qiguang Miao and Xiangrong Zhang. Their work appears in journals such as IEEE Transactions on Image Processing, Energy, International Journal of STD & AIDS, Nature Communications and Frontiers in Psychology.
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.