Weijia Wu
Impact in
-
- Multimodal Machine Learning Applications
- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Handwritten Text Recognition Techniques
- Video Analysis and Summarization
- Media Technology top 10%
Papers in
-
- Advanced Neural Network Applications 10
- Advanced Image and Video Retrieval Techniques 10
- Handwritten Text Recognition Techniques 9
- Video Analysis and Summarization 7
- Multimodal Machine Learning Applications 6
- Generative Adversarial Networks and Image Synthesis 3
-
- Domain Adaptation and Few-Shot Learning 9
- Co-authors
- Hong Zhou (13 shared papers)Yuzhong Zhao (6 shared papers)Chunhua Shen (6 shared papers)Mike Zheng Shou (6 shared papers)Fang Wan (1 shared paper)Yuxing Wang (2 shared papers)Qixiang Ye (1 shared paper)Zhuang Li (5 shared papers)
In The Last Decade
Weijia Wu
38 papers receiving 292 citations
Peers
Comparison fields: 5 of 79
- Computer Vision and Pattern Recognition 144
- Media Technology 40
- Analytical Chemistry 29
- Artificial Intelligence 85
- Biophysics 14
Countries citing papers authored by Weijia Wu
This map shows the geographic impact of Weijia 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 Weijia Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weijia Wu more than expected).
Fields of papers citing papers by Weijia Wu
This network shows the impact of papers produced by Weijia 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 Weijia Wu. The network helps show where Weijia Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Weijia 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
Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 75 | |
| 2 | 2023 | 28 | |
| 3 | 2023 | 19 | |
| 4 | 2023 | 18 | |
| 5 | 2022 | 14 | |
| 6 | 2019 | 12 | |
| 7 | 2023 | 11 | |
| 8 | 2021 | 10 | |
| 9 | 2020 | 8 | |
| 10 | 2022 | 8 | |
| 11 | 2024 | 7 | |
| 12 | 2025 | 7 | |
| 13 | 2023 | 7 | |
| 14 | 2023 | 6 | |
| 15 | 2024 | 5 | |
| 16 | 2023 | 5 | |
| 17 | 2024 | 5 | |
| 18 | 2023 | 5 | |
| 19 | 2009 | 5 | |
| 20 | 2022 | 5 |
About Weijia Wu
Weijia Wu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Biomedical Engineering, Media Technology and Biophysics, having authored 44 papers that have together received 294 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (10 papers), Advanced Image and Video Retrieval Techniques (10 papers), Handwritten Text Recognition Techniques (9 papers), Domain Adaptation and Few-Shot Learning (9 papers), Video Analysis and Summarization (7 papers), Multimodal Machine Learning Applications (6 papers), Vehicle License Plate Recognition (4 papers) and Generative Adversarial Networks and Image Synthesis (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (144 citations), Media Technology (40 citations), Analytical Chemistry (29 citations), Artificial Intelligence (85 citations) and Biophysics (14 citations). Weijia Wu has collaborated with scholars based in China, Singapore and Hong Kong. Frequent co-authors include Hong Zhou, Yuzhong Zhao, Chunhua Shen, Mike Zheng Shou, Fang Wan, Yuxing Wang, Qixiang Ye, Zhuang Li, Yongpeng Zhao and Zhiyong Zou. Their work appears in journals such as IEEE Transactions on Circuits and Systems for Video Technology, Applied Intelligence, Neural Processing Letters, International Journal of Computer Vision and Pattern Recognition.
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.