Chunyu Wang
- Computer Vision and Pattern Recognition top 1%
- Biomedical Engineering top 10%
- Artificial Intelligence top 5%
- Human-Computer Interaction top 1%
- Aerospace Engineering top 10%
- Topics
- Human Pose and Action Recognition (20 papers)Video Surveillance and Tracking Methods (14 papers)Hand Gesture Recognition Systems (8 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Image ProcessingSensors
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Chunyu Wang
38 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 91
- Computer Vision and Pattern Recognition 1.2k
- Biomedical Engineering 290
- Artificial Intelligence 273
- Human-Computer Interaction 256
- Aerospace Engineering 141
Countries citing papers authored by Chunyu Wang
This map shows the geographic impact of Chunyu 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 Chunyu Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chunyu Wang more than expected).
Fields of papers citing papers by Chunyu Wang
This network shows the impact of papers produced by Chunyu 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 Chunyu Wang. The network helps show where Chunyu Wang may publish in the future.
Co-authorship network of co-authors of Chunyu Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Chunyu Wang. A scholar is included among the top collaborators of Chunyu Wang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chunyu Wang. Chunyu Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 3 | |
| 5 | 2 | |
| 6 | 8 | |
| 7 | 4 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | 20 | |
| 11 | 7 | |
| 12 | 1 | |
| 13 | 4 | |
| 14 | 55 | |
| 15 | 2 | |
| 16 | 42 | |
| 17 | 72 | |
| 18 | A Simple Baseline for Multi-Object Tracking. | 51 |
| 19 | Humble Teacher and Eager Student: Dual Network Learning for Semi-supervised 2D Human Pose Estimation. | 2 |
| 20 | 254 |
About Chunyu Wang
Chunyu Wang is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Computer Graphics and Computer-Aided Design, having authored 38 papers that have together received 1.3k indexed citations. Recurring topics across this work include Human Pose and Action Recognition (20 papers), Video Surveillance and Tracking Methods (14 papers) and Hand Gesture Recognition Systems (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.2k citations), Human-Computer Interaction (256 citations) and Artificial Intelligence (273 citations). Chunyu Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yizhou Wang, Alan Yuille, Wenjun Zeng, Hai Ci, Xiaoxuan Ma, Xinggang Wang, Wenyu Liu, Wankou Yang, Fei Xie and Wen Gao. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Sensors.
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.