Changshuo Wang
Impact in
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- Video Surveillance and Tracking Methods
- Human Pose and Action Recognition
- Advanced Neural Network Applications
- Face recognition and analysis
- Geology top 5%
- 3D Surveying and Cultural Heritage
Papers in
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- Video Surveillance and Tracking Methods 8
- Human Pose and Action Recognition 7
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- 3D Shape Modeling and Analysis 6
- Co-authors
- Xin Ning (11 shared papers)Huang Zhang (5 shared papers)Xiao Bai (4 shared papers)Weijun Li (5 shared papers)Shengwei Tian (2 shared papers)Liping Zhang (1 shared paper)Prayag Tiwari (5 shared papers)Linjun Sun (1 shared paper)
In The Last Decade
Changshuo Wang
28 papers receiving 630 citations
Changshuo Wang's Hit Papers
Peers
Comparison fields: 5 of 84
- Computer Vision and Pattern Recognition 355
- Geology 95
- Computer Graphics and Computer-Aided Design 36
- Computational Mechanics 115
- Media Technology 48
Countries citing papers authored by Changshuo Wang
This map shows the geographic impact of Changshuo 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 Changshuo Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Changshuo Wang more than expected).
Fields of papers citing papers by Changshuo Wang
This network shows the impact of papers produced by Changshuo 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 Changshuo Wang. The network helps show where Changshuo Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Changshuo 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Deep learning-based 3D point cloud classification: A systematic survey and outlook Hit paper breakdown → | 2023 | 114 |
| 2 | 2022 | 102 | |
| 3 | 2023 | 70 | |
| 4 | 2023 | 50 | |
| 5 | 2021 | 46 | |
| 6 | 2024 | 42 | |
| 7 | 2023 | 38 | |
| 8 | 2023 | 36 | |
| 9 | 2024 | 34 | |
| 10 | 2024 | 25 | |
| 11 | 2025 | 17 | |
| 12 | 2025 | 12 | |
| 13 | 2024 | 11 | |
| 14 | 2024 | 8 | |
| 15 | 2024 | 5 | |
| 16 | 2024 | 5 | |
| 17 | 2024 | 3 | |
| 18 | 2025 | 3 | |
| 19 | 2025 | 3 | |
| 20 | 2024 | 3 |
About Changshuo Wang
Changshuo Wang is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Geology, Biomedical Engineering and Cognitive Neuroscience, having authored 29 papers that have together received 640 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (8 papers), Human Pose and Action Recognition (7 papers), 3D Shape Modeling and Analysis (6 papers), 3D Surveying and Cultural Heritage (6 papers), Gait Recognition and Analysis (6 papers), Remote Sensing and LiDAR Applications (4 papers), Computer Graphics and Visualization Techniques (4 papers) and Functional Brain Connectivity Studies (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (355 citations), Geology (95 citations), Computer Graphics and Computer-Aided Design (36 citations), Computational Mechanics (115 citations) and Media Technology (48 citations). Changshuo Wang has collaborated with scholars based in China, Singapore and Sweden. Frequent co-authors include Xin Ning, Huang Zhang, Xiao Bai, Weijun Li, Shengwei Tian, Liping Zhang, Prayag Tiwari, Linjun Sun, Liping Zhang and Lusi Li. Their work appears in journals such as Displays, Neural Networks, IEEE Transactions on Circuits and Systems for Video Technology, Advanced Science and IEEE Transactions on Intelligent Transportation Systems.
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.