Jia Wu
Impact in
- Artificial Intelligence top 0.1%
- Advanced Graph Neural Networks
- Topic Modeling
- Anomaly Detection Techniques and Applications
- Imbalanced Data Classification Techniques
- Text and Document Classification Technologies
- Statistical and Nonlinear Physics top 0.5%
- Complex Network Analysis Techniques
Papers in
-
- Advanced Graph Neural Networks 114
- Topic Modeling 37
- Anomaly Detection Techniques and Applications 25
- Domain Adaptation and Few-Shot Learning 21
- Co-authors
- Shirui Pan (42 shared papers)Xingquan Zhu (32 shared papers)Chengqi Zhang (31 shared papers)Chuan Zhou (40 shared papers)Zhihua Cai (33 shared papers)Philip S. Yu (33 shared papers)Jian Yang (69 shared papers)Bo Du (29 shared papers)
- Journals
- IEEE Transactions on Knowledge and Data Engineering (23 papers)Neural Networks (17 papers)Pattern Recognition (11 papers)IEEE Transactions on Neural Networks and Learning Systems (11 papers)World Wide Web (10 papers)
- Partner nations
- AustraliaChinaUnited States
In The Last Decade
Jia Wu
351 papers receiving 8.6k citations
Jia Wu's Hit Papers
Peers
Comparison fields: 5 of 179
- Artificial Intelligence 5.1k
- Statistical and Nonlinear Physics 1.2k
- Computer Vision and Pattern Recognition 2.0k
- Information Systems 1.6k
- Media Technology 612
Countries citing papers authored by Jia Wu
This map shows the geographic impact of Jia 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 Jia Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jia Wu more than expected).
Fields of papers citing papers by Jia Wu
This network shows the impact of papers produced by Jia 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 Jia Wu. The network helps show where Jia Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Jia 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 387 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Infrared and visible image fusion via detail preserving adversarial learning Hit paper breakdown → | 2019 | 353 |
| 2 | Training deep neural networks on imbalanced data sets Hit paper breakdown → | 2016 | 346 |
| 3 | Stacked Convolutional Denoising Auto-Encoders for Feature Representation Hit paper breakdown → | 2016 | 342 |
| 4 | A Survey of Community Detection Approaches: From Statistical Modeling to Deep Learning Hit paper breakdown → | 2021 | 272 |
| 5 | Tri-party deep network representation | 2016 | 251 |
| 6 | 2018 | 220 | |
| 7 | A comprehensive survey on pretrained foundation models: a history from BERT to ChatGPT Hit paper breakdown → | 2024 | 206 |
| 8 | 2014 | 147 | |
| 9 | A Decomposition Dynamic graph convolutional recurrent network for traffic forecasting Hit paper breakdown → | 2023 | 140 |
| 10 | 2018 | 128 | |
| 11 | 2020 | 114 | |
| 12 | 2021 | 114 | |
| 13 | A Comprehensive Survey on Automatic Knowledge Graph Construction Hit paper breakdown → | 2023 | 112 |
| 14 | 2022 | 107 | |
| 15 | 2018 | 103 | |
| 16 | 2019 | 100 | |
| 17 | 2019 | 99 | |
| 18 | 2018 | 99 | |
| 19 | 2022 | 96 | |
| 20 | 2014 | 94 |
About Jia Wu
Jia Wu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Statistical and Nonlinear Physics and Signal Processing, having authored 387 papers that have together received 8.8k indexed citations. Recurring topics across this work include Advanced Graph Neural Networks (114 papers), Complex Network Analysis Techniques (60 papers), Recommender Systems and Techniques (46 papers), Topic Modeling (37 papers), Anomaly Detection Techniques and Applications (25 papers), Time Series Analysis and Forecasting (23 papers), Spam and Phishing Detection (21 papers) and Domain Adaptation and Few-Shot Learning (21 papers). The work is most often cited by research in Artificial Intelligence (5.1k citations), Statistical and Nonlinear Physics (1.2k citations), Computer Vision and Pattern Recognition (2.0k citations), Information Systems (1.6k citations) and Media Technology (612 citations). Jia Wu has collaborated with scholars based in Australia, China and United States. Frequent co-authors include Shirui Pan, Xingquan Zhu, Chengqi Zhang, Chuan Zhou, Zhihua Cai, Philip S. Yu, Jian Yang, Bo Du, Yongshan Zhang and Shan Xue. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, Neural Networks, Pattern Recognition, IEEE Transactions on Neural Networks and Learning Systems and World Wide Web.
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.