Lin Wu
Impact in
-
- Video Surveillance and Tracking Methods
- Advanced Image and Video Retrieval Techniques
- Face and Expression Recognition
- Human Pose and Action Recognition
- Image Retrieval and Classification Techniques
- Advanced Neural Network Applications
- Multimodal Machine Learning Applications
- Computational Mathematics top 5%
Papers in
-
- Video Surveillance and Tracking Methods 20
- Advanced Image and Video Retrieval Techniques 19
- Human Pose and Action Recognition 15
- Face and Expression Recognition 13
- Advanced Neural Network Applications 9
-
- Remote-Sensing Image Classification 11
Lin Wu
121 papers receiving 3.6k citations
Hit Papers
Peers
Comparison fields: 5 of 170
- Computer Vision and Pattern Recognition 2.3k
- Computational Mathematics 27
- Media Technology 389
- Artificial Intelligence 944
- Signal Processing 284
Countries citing papers authored by Lin Wu
This map shows the geographic impact of Lin 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 Lin Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lin Wu more than expected).
Fields of papers citing papers by Lin Wu
This network shows the impact of papers produced by Lin 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 Lin Wu. The network helps show where Lin Wu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Lin 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 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2023 | 5 | |
| 5 | 2023 | 16 | |
| 6 | 2023 | 22 | |
| 7 | 2023 | 24 | |
| 8 | 2022 | 25 | |
| 9 | 2022 | 42 | |
| 10 | 2022 | 49 | |
| 11 | 2021 | 4 | |
| 12 | 2021 | 26 | |
| 13 | 2021 | 1 | |
| 14 | 2020 | 59 | |
| 15 | 2019 | 88 | |
| 16 | 2019 | 75 | |
| 17 | 2019 | 19 | |
| 18 | 2018 | 43 | |
| 19 | 2016 | 25 | |
| 20 | 2016 | 29 |
About Lin Wu
Lin Wu is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Signal Processing, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging, having authored 137 papers that have together received 3.6k indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (20 papers), Advanced Image and Video Retrieval Techniques (19 papers), Human Pose and Action Recognition (15 papers), Face and Expression Recognition (13 papers), Remote-Sensing Image Classification (11 papers), Radiomics and Machine Learning in Medical Imaging (10 papers), Domain Adaptation and Few-Shot Learning (9 papers) and Advanced Neural Network Applications (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.3k citations), Computational Mathematics (27 citations), Media Technology (389 citations), Artificial Intelligence (944 citations) and Signal Processing (284 citations). Lin Wu has collaborated with scholars based in China, Australia and United Kingdom. Frequent co-authors include Yang Wang, Junbin Gao, Xuemin Lin, Xue Li, Wenjie Zhang, Meng Wang, Chunhua Shen, Anton van den Hengel, Xiaodi Huang and Deyin Liu. Their work appears in journals such as IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Image Processing, Pattern Recognition, IEEE Transactions on Multimedia and Neurocomputing.
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.