Yan Wu
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- Advanced Neural Network Applications 22
- Video Surveillance and Tracking Methods 10
- Advanced Image and Video Retrieval Techniques 9
- Image and Signal Denoising Methods 8
- Media Technology top 2%
- Cognitive Neuroscience top 5%
- EEG and Brain-Computer Interfaces 13
- Signal Processing top 5%
- Automotive Engineering top 5%
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- Advanced Algorithms and Applications 14
- Advanced Sensor and Control Systems 11
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- Neural Networks and Applications 10
- Co-authors
- Yujian MoXinneng YangFeilin LiuJunming ZhangYujun LiaoYuanfang RenJun‐Ming ZhangJunqiao Zhao
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Yan Wu
204 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 181
- Computer Vision and Pattern Recognition 626
- Media Technology 175
- Cognitive Neuroscience 317
- Signal Processing 146
- Automotive Engineering 154
Countries citing papers authored by Yan Wu
This map shows the geographic impact of Yan 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 Yan Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan Wu more than expected).
Fields of papers citing papers by Yan Wu
This network shows the impact of papers produced by Yan 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 Yan Wu. The network helps show where Yan Wu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yan 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 | 2025 | 1 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 5 | |
| 5 | 2024 | 7 | |
| 6 | 2024 | 1 | |
| 7 | 2023 | 0 | |
| 8 | 2023 | 6 | |
| 9 | 2021 | 14 | |
| 10 | 2020 | 0 | |
| 11 | 2020 | 1 | |
| 12 | Shaping Belief States with Generative Environment Models for RL | 2019 | 7 |
| 13 | 2018 | 33 | |
| 14 | InversionNet: Accurate and Efficient Seismic Waveform Inversion with Convolutional Neural Networks | 2018 | 6 |
| 15 | 2018 | 31 | |
| 16 | 2017 | 1 | |
| 17 | A simple method on LFM pulse radar moving target detection | 2015 | 0 |
| 18 | 2012 | 2 | |
| 19 | Efficient Near-Duplicate Detection for Q&A Forum | 2011 | 16 |
| 20 | Pd attenuation and its application to earthquake early warning | 2005 | 1 |
About Yan Wu
Yan Wu is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence, having authored 231 papers that have together received 2.4k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (22 papers), Advanced Algorithms and Applications (14 papers), EEG and Brain-Computer Interfaces (13 papers), Advanced Sensor and Control Systems (11 papers), Video Surveillance and Tracking Methods (10 papers), Neural Networks and Applications (10 papers), Advanced Image and Video Retrieval Techniques (9 papers) and Image and Signal Denoising Methods (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (626 citations), Media Technology (175 citations) and Cognitive Neuroscience (317 citations). Yan Wu has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Yujian Mo, Xinneng Yang, Feilin Liu, Junming Zhang, Yujun Liao, Yuanfang Ren, Jun‐Ming Zhang, Junqiao Zhao, Fuqiang Chen and Yi Luo. Their work appears in journals such as Neurocomputing, Geophysics, Frontiers in Neuroscience, PLoS ONE and IEEE Access.
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.