Jijie Wu
Impact in
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- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Multimodal Machine Learning Applications
- Media Technology top 10%
- Image Processing Techniques and Applications
- Remote-Sensing Image Classification
Papers in
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- Domain Adaptation and Few-Shot Learning 8
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- Advanced Image and Video Retrieval Techniques 3
- Advanced Neural Network Applications 3
- Multimodal Machine Learning Applications 2
- Co-authors
- Xiaoxu Li (8 shared papers)Zhanyu Ma (5 shared papers)Jing‐Hao Xue (3 shared papers)Jie Cao (4 shared papers)Zhuo Sun (2 shared papers)Rui Zhu (1 shared paper)Qi Song (2 shared papers)Dongliang Chang (3 shared papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)IEEE Transactions on Image Processing (1 paper)Autonomous Robots (1 paper)IEEE Transactions on Circuits and Systems for Video Technology (1 paper)Lanzhou University Institutional Repository (1 paper)
- Partner nations
- ChinaUnited KingdomTaiwan
In The Last Decade
Jijie Wu
11 papers receiving 265 citations
Peers
Comparison fields: 5 of 48
- Computer Vision and Pattern Recognition 175
- Media Technology 48
- Artificial Intelligence 174
- Radiology, Nuclear Medicine and Imaging 35
- Biophysics 5
Countries citing papers authored by Jijie Wu
This map shows the geographic impact of Jijie 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 Jijie Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jijie Wu more than expected).
Fields of papers citing papers by Jijie Wu
This network shows the impact of papers produced by Jijie 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 Jijie Wu. The network helps show where Jijie Wu may publish in the future.
Co-authors
The 16 scholars most cited alongside Jijie 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 | 2020 | 137 | |
| 2 | 2023 | 52 | |
| 3 | 2023 | 42 | |
| 4 | 2024 | 15 | |
| 5 | 2020 | 7 | |
| 6 | 2019 | 4 | |
| 7 | Amortized Bayesian Prototype Meta-learning: A New Probabilistic Meta-learning Approach to Few-shot Image Classification | 2021 | 3 |
| 8 | 2022 | 2 | |
| 9 | 2021 | 1 | |
| 10 | 2022 | 1 | |
| 11 | 2020 | 1 | |
| 12 | 2024 | 0 | |
| 13 | 2023 | 0 |
About Jijie Wu
Jijie Wu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Computer Networks and Communications and Media Technology, having authored 13 papers that have together received 265 indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (8 papers), Advanced Image and Video Retrieval Techniques (3 papers), COVID-19 diagnosis using AI (3 papers), Advanced Neural Network Applications (3 papers), Robotics and Sensor-Based Localization (2 papers), Multimodal Machine Learning Applications (2 papers), Optimization and Search Problems (2 papers) and Image Processing Techniques and Applications (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (175 citations), Media Technology (48 citations), Artificial Intelligence (174 citations), Radiology, Nuclear Medicine and Imaging (35 citations) and Biophysics (5 citations). Jijie Wu has collaborated with scholars based in China, United Kingdom and Taiwan. Frequent co-authors include Xiaoxu Li, Zhanyu Ma, Jing‐Hao Xue, Jie Cao, Zhuo Sun, Rui Zhu, Qi Song, Dongliang Chang, Yi-Zhe Song and Jun Guo. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing, Autonomous Robots, IEEE Transactions on Circuits and Systems for Video Technology and Lanzhou University Institutional Repository.
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.