Minsi Wang
Impact in
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- Human Pose and Action Recognition
- Video Surveillance and Tracking Methods
- Multimodal Machine Learning Applications
- Advanced Image and Video Retrieval Techniques
- Video Analysis and Summarization
- Artificial Intelligence top 5%
- Anomaly Detection Techniques and Applications
Papers in
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- Human Pose and Action Recognition 6
- Advanced Image and Video Retrieval Techniques 4
- Video Surveillance and Tracking Methods 4
- Multimodal Machine Learning Applications 3
- Image Retrieval and Classification Techniques 2
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- Anomaly Detection Techniques and Applications 4
- Domain Adaptation and Few-Shot Learning 2
- Co-authors
- Bingbing Ni (10 shared papers)Xiaokang Yang (8 shared papers)Jianguo Hu (1 shared paper)Zan Shen (1 shared paper)Yi Xu (1 shared paper)Wenjun Zhang (2 shared papers)Linguo Li (1 shared paper)Hang Wang (1 shared paper)
- Journals
- IEEE Transactions on Multimedia (2 papers)European Food Research and Technology (1 paper)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)2021 IEEE/CVF International Conference on Computer Vision (ICCV) (1 paper)E3S Web of Conferences (1 paper)
- Partner nations
- ChinaSerbiaUnited States
In The Last Decade
Minsi Wang
13 papers receiving 720 citations
Peers
Comparison fields: 5 of 56
- Computer Vision and Pattern Recognition 675
- Artificial Intelligence 422
- Human-Computer Interaction 51
- Safety, Risk, Reliability and Quality 77
- Transportation 40
Countries citing papers authored by Minsi Wang
This map shows the geographic impact of Minsi 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 Minsi Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Minsi Wang more than expected).
Fields of papers citing papers by Minsi Wang
This network shows the impact of papers produced by Minsi 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 Minsi Wang. The network helps show where Minsi Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Minsi 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 | 2018 | 264 | |
| 2 | 2021 | 151 | |
| 3 | 2017 | 112 | |
| 4 | 2020 | 49 | |
| 5 | 2018 | 38 | |
| 6 | 2016 | 32 | |
| 7 | 2019 | 22 | |
| 8 | 2021 | 17 | |
| 9 | 2019 | 15 | |
| 10 | 2018 | 14 | |
| 11 | 2017 | 11 | |
| 12 | 2021 | 4 | |
| 13 | 2019 | 2 |
About Minsi Wang
Minsi Wang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Biomedical Engineering, Animal Science and Zoology and Computational Mechanics, having authored 13 papers that have together received 731 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (6 papers), Anomaly Detection Techniques and Applications (4 papers), Advanced Image and Video Retrieval Techniques (4 papers), Video Surveillance and Tracking Methods (4 papers), Multimodal Machine Learning Applications (3 papers), Domain Adaptation and Few-Shot Learning (2 papers), Image Retrieval and Classification Techniques (2 papers) and Gait Recognition and Analysis (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (675 citations), Artificial Intelligence (422 citations), Human-Computer Interaction (51 citations), Safety, Risk, Reliability and Quality (77 citations) and Transportation (40 citations). Minsi Wang has collaborated with scholars based in China, Serbia and United States. Frequent co-authors include Bingbing Ni, Xiaokang Yang, Jianguo Hu, Zan Shen, Yi Xu, Wenjun Zhang, Linguo Li, Hang Wang, Jiancheng Yang and Shuo Cheng. Their work appears in journals such as IEEE Transactions on Multimedia, European Food Research and Technology, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021 IEEE/CVF International Conference on Computer Vision (ICCV) and E3S Web of Conferences.
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.