Yiling Wu
Impact in
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- Advanced Image and Video Retrieval Techniques
- Multimodal Machine Learning Applications
- Image Retrieval and Classification Techniques
- Video Analysis and Summarization
- Generative Adversarial Networks and Image Synthesis
- Artificial Intelligence top 10%
- Domain Adaptation and Few-Shot Learning
- Topic Modeling
Papers in
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- Advanced Image and Video Retrieval Techniques 9
- Multimodal Machine Learning Applications 8
- Image Retrieval and Classification Techniques 3
- Generative Adversarial Networks and Image Synthesis 3
- Face recognition and analysis 2
- Video Analysis and Summarization 2
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- Domain Adaptation and Few-Shot Learning 4
- Co-authors
- Qingming Huang (10 shared papers)Shuhui Wang (9 shared papers)Wei-Ta Chu (2 shared papers)Guoli Song (3 shared papers)Jincai Chen (1 shared paper)Sheng Zhang (1 shared paper)Minglei Li (2 shared papers)Yuan-Fang Li (1 shared paper)
- Journals
- IEEE Transactions on Multimedia (3 papers)Knowledge-Based Systems (1 paper)Neurocomputing (1 paper)IEEE Transactions on Image Processing (1 paper)Proceedings of the 30th ACM International Conference on Multimedia (1 paper)
In The Last Decade
Yiling Wu
15 papers receiving 386 citations
Peers
Comparison fields: 5 of 51
- Computer Vision and Pattern Recognition 331
- Artificial Intelligence 142
- Signal Processing 44
- Conservation 11
- Computer Graphics and Computer-Aided Design 11
Countries citing papers authored by Yiling Wu
This map shows the geographic impact of Yiling 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 Yiling Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yiling Wu more than expected).
Fields of papers citing papers by Yiling Wu
This network shows the impact of papers produced by Yiling 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 Yiling Wu. The network helps show where Yiling Wu may publish in the future.
Co-authors
The 19 scholars most cited alongside Yiling 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 | 2019 | 91 | |
| 2 | 2018 | 53 | |
| 3 | 2018 | 38 | |
| 4 | 2017 | 34 | |
| 5 | 2021 | 32 | |
| 6 | 2016 | 31 | |
| 7 | 2020 | 25 | |
| 8 | 2018 | 23 | |
| 9 | 2019 | 21 | |
| 10 | 2019 | 17 | |
| 11 | 2021 | 12 | |
| 12 | 2017 | 8 | |
| 13 | 2022 | 5 | |
| 14 | 2015 | 3 | |
| 15 | 2021 | 2 |
About Yiling Wu
Yiling Wu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Cognitive Neuroscience and Experimental and Cognitive Psychology, having authored 15 papers that have together received 395 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (9 papers), Multimodal Machine Learning Applications (8 papers), Domain Adaptation and Few-Shot Learning (4 papers), Speech and Audio Processing (3 papers), Image Retrieval and Classification Techniques (3 papers), Generative Adversarial Networks and Image Synthesis (3 papers), Face recognition and analysis (2 papers) and Video Analysis and Summarization (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (331 citations), Artificial Intelligence (142 citations), Signal Processing (44 citations), Conservation (11 citations) and Computer Graphics and Computer-Aided Design (11 citations). Yiling Wu has collaborated with scholars based in China, Taiwan and Australia. Frequent co-authors include Qingming Huang, Shuhui Wang, Wei-Ta Chu, Guoli Song, Jincai Chen, Sheng Zhang, Minglei Li, Yuan-Fang Li, Min Chen and Zhen Lei. Their work appears in journals such as IEEE Transactions on Multimedia, Knowledge-Based Systems, Neurocomputing, IEEE Transactions on Image Processing and Proceedings of the 30th ACM International Conference on Multimedia.
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.