Sen Wang
- Acoustics and Ultrasonics top 5%
-
- Advanced Image and Video Retrieval Techniques 15
- Video Surveillance and Tracking Methods 13
- Multimodal Machine Learning Applications 13
- Face and Expression Recognition 11
- Human Pose and Action Recognition 11
- Artificial Intelligence top 1%
- Domain Adaptation and Few-Shot Learning 13
- Machine Learning in Healthcare 12
- Topic Modeling 11
- Signal Processing top 2%
- Human-Computer Interaction top 2%
- Journals
- Neurocomputing (4 papers)World Wide Web (4 papers)IEEE Transactions on Multimedia (2 papers)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Sen Wang
217 papers receiving 4.5k citations
Hit Papers
Peers
Comparison fields: 5 of 189
- Acoustics and Ultrasonics 56
- Computer Vision and Pattern Recognition 1.1k
- Artificial Intelligence 1.2k
- Signal Processing 331
- Human-Computer Interaction 168
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 4 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 1 | |
| 7 | 2023 | 3 | |
| 8 | 2023 | 0 | |
| 9 | 2023 | 10 | |
| 10 | 2023 | 11 | |
| 11 | 2022 | 5 | |
| 12 | 2022 | 7 | |
| 13 | 2022 | 12 | |
| 14 | 2021 | 56 | |
| 15 | Making Sense of Spatio-Temporal Preserving Representations for EEG-Based Human Intention Recognitionbreakdown → | 2019 | 298 |
| 16 | 2019 | 2 | |
| 17 | 2018 | 1 | |
| 18 | Design of Biomass Briquette Stove | 2008 | 1 |
| 19 | Building Data Warehouse | 2005 | 341 |
| 20 | 2002 | 8 |
About Sen Wang
Sen Wang is a scholar working on Acoustics and Ultrasonics, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 236 papers that have together received 4.7k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (15 papers), Video Surveillance and Tracking Methods (13 papers), Domain Adaptation and Few-Shot Learning (13 papers), Multimodal Machine Learning Applications (13 papers), Machine Learning in Healthcare (12 papers), Topic Modeling (11 papers), Face and Expression Recognition (11 papers) and Human Pose and Action Recognition (11 papers). The work is most often cited by research in Acoustics and Ultrasonics (56 citations), Computer Vision and Pattern Recognition (1.1k citations) and Artificial Intelligence (1.2k 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, Feiping Nie and Yunhao Liu. Their work appears in journals such as Neurocomputing, World Wide Web, IEEE Transactions on Multimedia, IEEE Transactions on Neural Networks and Learning Systems and Chemical Engineering Journal.
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.