Guan-An Wang
Impact in
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- Video Surveillance and Tracking Methods
- Advanced Neural Network Applications
- Human Pose and Action Recognition
- Image Enhancement Techniques
- Face recognition and analysis
- Medical Image Segmentation Techniques
Papers in
- Surgery 4
- Surgical Simulation and Training 4
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- Video Surveillance and Tracking Methods 2
- Advanced Neural Network Applications 2
- Face recognition and analysis 1
- Co-authors
- Zeng‐Guang Hou (5 shared papers)Liang Xu (1 shared paper)Jian Cheng (1 shared paper)Jianlong Chang (1 shared paper)Tianzhu Zhang (1 shared paper)Yang Yang (1 shared paper)Zhen-Liang Ni (4 shared papers)Gui‐Bin Bian (3 shared papers)
- Journals
- Pediatric Surgery International (1 paper)Medical Image Analysis (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (2 papers)
- Partner nations
- ChinaMacaoUnited States
In The Last Decade
Guan-An Wang
7 papers receiving 330 citations
Peers
Comparison fields: 5 of 44
- Computer Vision and Pattern Recognition 283
- Safety, Risk, Reliability and Quality 17
- Biomedical Engineering 80
- Media Technology 13
- Global and Planetary Change 26
Countries citing papers authored by Guan-An Wang
This map shows the geographic impact of Guan-An 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 Guan-An Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guan-An Wang more than expected).
Fields of papers citing papers by Guan-An Wang
This network shows the impact of papers produced by Guan-An 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 Guan-An Wang. The network helps show where Guan-An Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Guan-An 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 | 2020 | 246 | |
| 2 | 2021 | 34 | |
| 3 | 2020 | 27 | |
| 4 | 2020 | 10 | |
| 5 | 2021 | 6 | |
| 6 | 2021 | 6 | |
| 7 | 2022 | 4 |
About Guan-An Wang
Guan-An Wang is a scholar working on Surgery, Computer Vision and Pattern Recognition, Biomedical Engineering, Human-Computer Interaction and Oral Surgery, having authored 7 papers that have together received 333 indexed citations. Recurring topics across this work include Surgical Simulation and Training (4 papers), Anatomy and Medical Technology (2 papers), Video Surveillance and Tracking Methods (2 papers), Medical Imaging and Analysis (2 papers), Advanced Neural Network Applications (2 papers), Dental Radiography and Imaging (1 paper), Hand Gesture Recognition Systems (1 paper) and Face recognition and analysis (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (283 citations), Safety, Risk, Reliability and Quality (17 citations), Biomedical Engineering (80 citations), Media Technology (13 citations) and Global and Planetary Change (26 citations). Guan-An Wang has collaborated with scholars based in China, Macao and United States. Frequent co-authors include Zeng‐Guang Hou, Liang Xu, Jian Cheng, Jianlong Chang, Tianzhu Zhang, Yang Yang, Zhen-Liang Ni, Gui‐Bin Bian, Xiao-Hu Zhou and Xiao‐Liang Xie. Their work appears in journals such as Pediatric Surgery International, Medical Image Analysis and Proceedings of the AAAI Conference on Artificial Intelligence.
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.