Sen Wang
Impact in
- Acoustics and Ultrasonics top 5%
-
- Face and Expression Recognition
- Human Pose and Action Recognition
- Advanced Image and Video Retrieval Techniques
Papers in
-
- Domain Adaptation and Few-Shot Learning 13
- Machine Learning in Healthcare 12
- Topic Modeling 11
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- Advanced Image and Video Retrieval Techniques 15
- Multimodal Machine Learning Applications 13
- Video Surveillance and Tracking Methods 13
- Face and Expression Recognition 11
- Human Pose and Action Recognition 11
- Co-authors
- Lina Yao (26 shared papers)Xiaojun Chang (9 shared papers)Xue Li (27 shared papers)Dalin Zhang (8 shared papers)Weitong Chen (12 shared papers)Kaixuan Chen (6 shared papers)Quan Z. Sheng (14 shared papers)Guodong Long (15 shared papers)
- Journals
- Neurocomputing (4 papers)World Wide Web (4 papers)ACM Transactions on Knowledge Discovery from Data (2 papers)IEEE Transactions on Cybernetics (2 papers)Information Sciences (2 papers)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Sen Wang
219 papers receiving 4.6k citations
Sen Wang's Hit Papers
Peers
Comparison fields: 5 of 187
- Acoustics and Ultrasonics 55
- Computer Vision and Pattern Recognition 1.1k
- Artificial Intelligence 1.2k
- Human-Computer Interaction 170
- Signal Processing 328
Countries citing papers authored by Sen Wang
This map shows the geographic impact of Sen Wang'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 Sen Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sen Wang more than expected).
Fields of papers citing papers by Sen Wang
This network shows the impact of papers produced by Sen Wang. 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 Sen Wang. The network helps show where Sen Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Sen Wang, 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 236 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Building Data Warehouse | 2005 | 348 |
| 2 | Making Sense of Spatio-Temporal Preserving Representations for EEG-Based Human Intention Recognition Hit paper breakdown → | 2019 | 305 |
| 3 | Learning Graph-based POI Embedding for Location-based Recommendation Hit paper breakdown → | 2016 | 282 |
| 4 | 1977 | 249 | |
| 5 | 2015 | 200 | |
| 6 | 2018 | 138 | |
| 7 | 2013 | 134 | |
| 8 | 2019 | 132 | |
| 9 | 2020 | 124 | |
| 10 | 2022 | 104 | |
| 11 | 2013 | 92 | |
| 12 | 2017 | 80 | |
| 13 | 2016 | 71 | |
| 14 | 2021 | 60 | |
| 15 | 2015 | 59 | |
| 16 | 2015 | 58 | |
| 17 | 2014 | 58 | |
| 18 | 2017 | 53 | |
| 19 | 2019 | 52 | |
| 20 | 2015 | 52 |
About Sen Wang
Sen Wang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Computer Networks and Communications and Information Systems, having authored 236 papers that have together received 4.8k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (15 papers), Multimodal Machine Learning Applications (13 papers), Video Surveillance and Tracking Methods (13 papers), Domain Adaptation and Few-Shot Learning (13 papers), Machine Learning in Healthcare (12 papers), Face and Expression Recognition (11 papers), Human Pose and Action Recognition (11 papers) and Topic Modeling (11 papers). The work is most often cited by research in Acoustics and Ultrasonics (55 citations), Computer Vision and Pattern Recognition (1.1k citations), Artificial Intelligence (1.2k citations), Human-Computer Interaction (170 citations) and Signal Processing (328 citations). Sen Wang has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Lina Yao, Xiaojun Chang, Xue Li, Dalin Zhang, Weitong Chen, Kaixuan Chen, Quan Z. Sheng, Guodong Long, Yunhao Liu and Feiping Nie. Their work appears in journals such as Neurocomputing, World Wide Web, ACM Transactions on Knowledge Discovery from Data, IEEE Transactions on Cybernetics and Information Sciences.
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.