Gaoang Wang
- Computer Vision and Pattern Recognition top 1%
- Artificial Intelligence top 5%
- Aerospace Engineering top 10%
- Computational Theory and Mathematics top 5%
- Molecular Biology
- Co-authors
- Jenq–Neng HwangRenshu GuYizhou WangWenhao ChaiHaotian ZhangHao XiaoZheng TangCraig S. Rose
- Topics
- Human Pose and Action Recognition (15 papers)Video Surveillance and Tracking Methods (14 papers)Advanced Neural Network Applications (13 papers)
- Journals
- BioinformaticsIEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Image Processing
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Gaoang Wang
70 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 124
- Computer Vision and Pattern Recognition 718
- Artificial Intelligence 238
- Aerospace Engineering 149
- Computational Theory and Mathematics 127
- Molecular Biology 123
Countries citing papers authored by Gaoang Wang
This map shows the geographic impact of Gaoang 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 Gaoang Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gaoang Wang more than expected).
Fields of papers citing papers by Gaoang Wang
This network shows the impact of papers produced by Gaoang 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 Gaoang Wang. The network helps show where Gaoang Wang may publish in the future.
Co-authorship network of co-authors of Gaoang Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Gaoang Wang. A scholar is included among the top collaborators of Gaoang 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 Gaoang Wang. Gaoang 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 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 28 | |
| 9 | 8 | |
| 10 | 35 | |
| 11 | 13 | |
| 12 | 13 | |
| 13 | 7 | |
| 14 | 4 | |
| 15 | 1 | |
| 16 | 22 | |
| 17 | 39 | |
| 18 | Multi-Camera Tracking of Vehicles based on Deep Features Re-ID and Trajectory-Based Camera Link Models | 51 |
| 19 | Anomaly Candidate Identification and Starting Time Estimation of Vehicles from Traffic Videos | 19 |
| 20 | 108 |
About Gaoang Wang
Gaoang Wang is a scholar working on Computer Vision and Pattern Recognition, General Engineering and Artificial Intelligence, having authored 81 papers that have together received 1.2k indexed citations. Recurring topics across this work include Human Pose and Action Recognition (15 papers), Video Surveillance and Tracking Methods (14 papers) and Advanced Neural Network Applications (13 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (718 citations), Automotive Engineering (121 citations) and Health Informatics (11 citations). Gaoang Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Jenq–Neng Hwang, Renshu Gu, Yizhou Wang, Wenhao Chai, Haotian Zhang, Hao Xiao, Zheng Tang, Craig S. Rose, Zuozhu Liu and Farron Wallace. Their work appears in journals such as Bioinformatics, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Image Processing.
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.