Qi She
Impact in
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- Human Pose and Action Recognition
- Advanced Neural Network Applications
- Advanced Vision and Imaging
- Generative Adversarial Networks and Image Synthesis
- Video Surveillance and Tracking Methods
Papers in
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- Advanced Neural Network Applications 9
- Multimodal Machine Learning Applications 6
- Generative Adversarial Networks and Image Synthesis 5
- Human Pose and Action Recognition 4
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- Domain Adaptation and Few-Shot Learning 8
- Anomaly Detection Techniques and Applications 5
- Co-authors
- Zhengwei Wang (12 shared papers)Tomás Ward (6 shared papers)Aljoša Smolić (3 shared papers)Changhu Wang (4 shared papers)Eoin Brophy (2 shared papers)Duo Li (2 shared papers)Qifeng Chen (1 shared paper)Xiangtai Li (1 shared paper)
In The Last Decade
Qi She
33 papers receiving 1.4k citations
Qi She's Hit Papers
Peers
Comparison fields: 5 of 123
- Computer Vision and Pattern Recognition 855
- Computer Graphics and Computer-Aided Design 68
- Artificial Intelligence 505
- Media Technology 121
- Human-Computer Interaction 65
Countries citing papers authored by Qi She
This map shows the geographic impact of Qi She'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 She with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qi She more than expected).
Fields of papers citing papers by Qi She
This network shows the impact of papers produced by Qi She. 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 She. The network helps show where Qi She may publish in the future.
Co-authors
The 25 scholars most cited alongside Qi She, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Involution: Inverting the Inherence of Convolution for Visual Recognition Hit paper breakdown → | 2021 | 291 |
| 2 | Generative Adversarial Networks in Time Series: A Systematic Literature Review Hit paper breakdown → | 2022 | 199 |
| 3 | 2021 | 181 | |
| 4 | 2021 | 162 | |
| 5 | 2020 | 113 | |
| 6 | 2021 | 104 | |
| 7 | 2022 | 58 | |
| 8 | 2022 | 54 | |
| 9 | 2020 | 45 | |
| 10 | Generative Adversarial Networks: A Survey and Taxonomy. | 2019 | 39 |
| 11 | 2022 | 31 | |
| 12 | 2022 | 28 | |
| 13 | 2016 | 26 | |
| 14 | 2019 | 25 | |
| 15 | 2021 | 22 | |
| 16 | 2018 | 16 | |
| 17 | 2016 | 11 | |
| 18 | 2020 | 11 | |
| 19 | 2023 | 7 | |
| 20 | 2022 | 6 |
About Qi She
Qi She is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Cognitive Neuroscience, Biomedical Engineering and Control and Systems Engineering, having authored 36 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (9 papers), Domain Adaptation and Few-Shot Learning (8 papers), Neural dynamics and brain function (8 papers), Multimodal Machine Learning Applications (6 papers), Generative Adversarial Networks and Image Synthesis (5 papers), Anomaly Detection Techniques and Applications (5 papers), Human Pose and Action Recognition (4 papers) and EEG and Brain-Computer Interfaces (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (855 citations), Computer Graphics and Computer-Aided Design (68 citations), Artificial Intelligence (505 citations), Media Technology (121 citations) and Human-Computer Interaction (65 citations). Qi She has collaborated with scholars based in Hong Kong, China and Ireland. Frequent co-authors include Zhengwei Wang, Tomás Ward, Aljoša Smolić, Changhu Wang, Eoin Brophy, Duo Li, Qifeng Chen, Xiangtai Li, Jie Hu and Tong Zhang. Their work appears in journals such as ACM Computing Surveys, Science China Information Sciences, IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition and European Archives of Psychiatry and Clinical Neuroscience.
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.