Qi She
Impact in
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- Advanced Neural Network Applications
- Human Pose and Action Recognition
- Generative Adversarial Networks and Image Synthesis
- Advanced Vision and Imaging
- Artificial Intelligence top 5%
- Domain Adaptation and Few-Shot Learning
Papers in
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- Advanced Neural Network Applications 9
- Human Pose and Action Recognition 4
- Generative Adversarial Networks and Image Synthesis 3
- Advanced Image and Video Retrieval Techniques 3
- Visual Attention and Saliency Detection 2
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- Domain Adaptation and Few-Shot Learning 12
- Co-authors
- Zhengwei Wang (10 shared papers)Tomas Emmanuel Ward (4 shared papers)Aljoša Smolić (3 shared papers)Changhu Wang (7 shared papers)Eoin Brophy (2 shared papers)Duo Li (4 shared papers)Xiangtai Li (2 shared papers)Qifeng Chen (2 shared papers)
- Journals
- ACM Computing Surveys (2 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (2 papers)Artificial Intelligence (1 paper)IEEE Transactions on Neural Networks and Learning Systems (1 paper)Scientific Reports (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Qi She
39 papers receiving 1.7k citations
Qi She's Hit Papers
Peers
Comparison fields: 5 of 91
- Computer Vision and Pattern Recognition 736
- Artificial Intelligence 394
- Health Informatics 17
- Signal Processing 60
- Media Technology 62
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 41 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 | 318 |
| 2 | Generative Adversarial Networks in Time Series: A Systematic Literature Review Hit paper breakdown → | 2022 | 220 |
| 3 | 2021 | 191 | |
| 4 | 2021 | 174 | |
| 5 | 2020 | 134 | |
| 6 | 2021 | 117 | |
| 7 | 2021 | 88 | |
| 8 | 2022 | 65 | |
| 9 | 2022 | 58 | |
| 10 | 2020 | 51 | |
| 11 | 2022 | 33 | |
| 12 | 2019 | 29 | |
| 13 | 2022 | 29 | |
| 14 | 2023 | 27 | |
| 15 | 2016 | 24 | |
| 16 | 2021 | 24 | |
| 17 | 2021 | 23 | |
| 18 | 2018 | 15 | |
| 19 | 2020 | 14 | |
| 20 | 2016 | 11 |
About Qi She
Qi She is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Cognitive Neuroscience, Signal Processing and Statistical and Nonlinear Physics, having authored 41 papers that have together received 1.7k indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (12 papers), Advanced Neural Network Applications (9 papers), Human Pose and Action Recognition (4 papers), Neural dynamics and brain function (4 papers), Generative Adversarial Networks and Image Synthesis (3 papers), Advanced Image and Video Retrieval Techniques (3 papers), Functional Brain Connectivity Studies (3 papers) and Visual Attention and Saliency Detection (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (736 citations), Artificial Intelligence (394 citations), Health Informatics (17 citations), Signal Processing (60 citations) and Media Technology (62 citations). Qi She has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Zhengwei Wang, Tomas Emmanuel Ward, Aljoša Smolić, Changhu Wang, Eoin Brophy, Duo Li, Xiangtai Li, Qifeng Chen, Tong Zhang and Jie Hu. Their work appears in journals such as ACM Computing Surveys, IEEE Transactions on Pattern Analysis and Machine Intelligence, Artificial Intelligence, IEEE Transactions on Neural Networks and Learning Systems and Scientific Reports.
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.