Daqing Wu
Impact in
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- Advanced Image and Video Retrieval Techniques
- Image Retrieval and Classification Techniques
- Video Surveillance and Tracking Methods
- Advanced Neural Network Applications
- Multimodal Machine Learning Applications
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- Domain Adaptation and Few-Shot Learning
- Advanced Graph Neural Networks
Papers in
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- Advanced Image and Video Retrieval Techniques 5
- Video Surveillance and Tracking Methods 4
- Multimodal Machine Learning Applications 4
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- Advanced Graph Neural Networks 5
- Domain Adaptation and Few-Shot Learning 1
- Co-authors
- Xiao Luo (10 shared papers)Chong Chen (9 shared papers)Minghua Deng (8 shared papers)Jianqiang Huang (5 shared papers)Xian‐Sheng Hua (5 shared papers)Haixin Wang (1 shared paper)D. Erik Everhart (1 shared paper)Zeyu Ma (5 shared papers)
- Journals
- ACM Transactions on Knowledge Discovery from Data (2 papers)International Journal of Psychophysiology (1 paper)ACM Transactions on the Web (1 paper)ACM Transactions on Multimedia Computing Communications and Applications (1 paper)2022 International Joint Conference on Neural Networks (IJCNN) (1 paper)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Daqing Wu
12 papers receiving 228 citations
Peers
Comparison fields: 5 of 55
- Computer Vision and Pattern Recognition 150
- Artificial Intelligence 80
- Signal Processing 12
- Information Systems 23
- Cognitive Neuroscience 18
Countries citing papers authored by Daqing Wu
This map shows the geographic impact of Daqing Wu'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 Daqing Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daqing Wu more than expected).
Fields of papers citing papers by Daqing Wu
This network shows the impact of papers produced by Daqing Wu. 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 Daqing Wu. The network helps show where Daqing Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Daqing Wu, 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 | 2022 | 110 | |
| 2 | 2010 | 30 | |
| 3 | 2021 | 22 | |
| 4 | 2021 | 20 | |
| 5 | 2023 | 15 | |
| 6 | 2021 | 12 | |
| 7 | 2023 | 7 | |
| 8 | 2021 | 6 | |
| 9 | 2023 | 4 | |
| 10 | 2022 | 4 | |
| 11 | 2021 | 4 | |
| 12 | 2021 | 2 | |
| 13 | 2023 | 0 |
About Daqing Wu
Daqing Wu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Information Systems, Statistical and Nonlinear Physics and Transportation, having authored 13 papers that have together received 236 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (5 papers), Advanced Graph Neural Networks (5 papers), Recommender Systems and Techniques (4 papers), Video Surveillance and Tracking Methods (4 papers), Complex Network Analysis Techniques (4 papers), Multimodal Machine Learning Applications (4 papers), Human Mobility and Location-Based Analysis (2 papers) and Domain Adaptation and Few-Shot Learning (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (150 citations), Artificial Intelligence (80 citations), Signal Processing (12 citations), Information Systems (23 citations) and Cognitive Neuroscience (18 citations). Daqing Wu has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Xiao Luo, Chong Chen, Minghua Deng, Jianqiang Huang, Xian‐Sheng Hua, Haixin Wang, D. Erik Everhart, Zeyu Ma, Jinwen Ma and Wei Ju. Their work appears in journals such as ACM Transactions on Knowledge Discovery from Data, International Journal of Psychophysiology, ACM Transactions on the Web, ACM Transactions on Multimedia Computing Communications and Applications and 2022 International Joint Conference on Neural Networks (IJCNN).
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.