Xiaodong Gu
Impact in
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- Advanced Image and Video Retrieval Techniques
- Multimodal Machine Learning Applications
- Visual Attention and Saliency Detection
- Image and Video Quality Assessment
- Advanced Neural Network Applications
- Media Technology top 5%
Papers in
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- Advanced Image and Video Retrieval Techniques 24
- Visual Attention and Saliency Detection 19
- Multimodal Machine Learning Applications 17
- Image and Video Quality Assessment 16
- Video Analysis and Summarization 10
- Face and Expression Recognition 9
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- Advanced Image Fusion Techniques 10
Xiaodong Gu
91 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 108
- Computer Vision and Pattern Recognition 741
- Media Technology 135
- Signal Processing 134
- Artificial Intelligence 386
- Human-Computer Interaction 29
Countries citing papers authored by Xiaodong Gu
This map shows the geographic impact of Xiaodong Gu'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 Xiaodong Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaodong Gu more than expected).
Fields of papers citing papers by Xiaodong Gu
This network shows the impact of papers produced by Xiaodong Gu. 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 Xiaodong Gu. The network helps show where Xiaodong Gu may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaodong Gu, 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 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 4 | |
| 7 | 2023 | 2 | |
| 8 | 2023 | 2 | |
| 9 | 2023 | 5 | |
| 10 | 2023 | 2 | |
| 11 | 2023 | 4 | |
| 12 | 2022 | 6 | |
| 13 | 2022 | 17 | |
| 14 | 2021 | 2 | |
| 15 | 2020 | 27 | |
| 16 | 2015 | 223 | |
| 17 | Reducing Over-Weighting in Supervised Term Weighting for Sentiment Analysis | 2014 | 13 |
| 18 | 2007 | 19 | |
| 19 | 2007 | 53 | |
| 20 | 2007 | 2 |
About Xiaodong Gu
Xiaodong Gu is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Signal Processing, Human-Computer Interaction and Artificial Intelligence, having authored 96 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (24 papers), Visual Attention and Saliency Detection (19 papers), Multimodal Machine Learning Applications (17 papers), Image and Video Quality Assessment (16 papers), Advanced Image Fusion Techniques (10 papers), Video Analysis and Summarization (10 papers), Domain Adaptation and Few-Shot Learning (10 papers) and Face and Expression Recognition (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (741 citations), Media Technology (135 citations), Signal Processing (134 citations), Artificial Intelligence (386 citations) and Human-Computer Interaction (29 citations). Xiaodong Gu has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Haibing Wu, Zhibo Chen, Yuanyuan Wang, Liming Zhang, Yuanyuan Wang, Yu Ma, Hao Zhang, Wei Fu, Charles Wang and Guoping Qiu. Their work appears in journals such as Neural Computing and Applications, Digital Signal Processing, Neural Networks, Applied Intelligence and Neurocomputing.
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.