Wangpeng An
Impact in
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- Occupational Health and Safety Research
- Geology top 5%
- 3D Surveying and Cultural Heritage
Papers in
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- Anomaly Detection Techniques and Applications 3
- Adversarial Robustness in Machine Learning 2
- Machine Learning and ELM 2
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- Advanced Neural Network Applications 3
- Human Pose and Action Recognition 2
- Co-authors
- Xiaochun Luo (3 shared papers)Heng Li (3 shared papers)Lieyun Ding (2 shared papers)Fang Qi (2 shared papers)Timothy M. Rose (2 shared papers)Hanbin Luo (1 shared paper)Jun Xu (3 shared papers)Lei Zhang (2 shared papers)
- Journals
- Advanced Engineering Informatics (1 paper)IEEE Transactions on Neural Networks and Learning Systems (1 paper)Automation in Construction (1 paper)Sensors (1 paper)Pattern Recognition (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Wangpeng An
10 papers receiving 837 citations
Wangpeng An's Hit Papers
Peers
Comparison fields: 5 of 86
- Radiological and Ultrasound Technology 316
- Geology 109
- Civil and Structural Engineering 307
- Medical Laboratory Technology 16
- Computer Vision and Pattern Recognition 231
Countries citing papers authored by Wangpeng An
This map shows the geographic impact of Wangpeng An'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 Wangpeng An with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wangpeng An more than expected).
Fields of papers citing papers by Wangpeng An
This network shows the impact of papers produced by Wangpeng An. 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 Wangpeng An. The network helps show where Wangpeng An may publish in the future.
Co-authors
The 25 scholars most cited alongside Wangpeng An, 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 | Detecting non-hardhat-use by a deep learning method from far-field surveillance videos Hit paper breakdown → | 2017 | 414 |
| 2 | 2018 | 126 | |
| 3 | 2018 | 109 | |
| 4 | 2018 | 76 | |
| 5 | 2020 | 52 | |
| 6 | 2020 | 33 | |
| 7 | 2017 | 23 | |
| 8 | 2017 | 12 | |
| 9 | 2023 | 5 | |
| 10 | 2020 | 3 | |
| 11 | 2025 | 0 |
About Wangpeng An
Wangpeng An is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Civil and Structural Engineering, Radiological and Ultrasound Technology and Control and Systems Engineering, having authored 11 papers that have together received 853 indexed citations. Recurring topics across this work include Infrastructure Maintenance and Monitoring (3 papers), Anomaly Detection Techniques and Applications (3 papers), Advanced Neural Network Applications (3 papers), Hand Gesture Recognition Systems (2 papers), Adversarial Robustness in Machine Learning (2 papers), Human Pose and Action Recognition (2 papers), Occupational Health and Safety Research (2 papers) and Machine Learning and ELM (2 papers). The work is most often cited by research in Radiological and Ultrasound Technology (316 citations), Geology (109 citations), Civil and Structural Engineering (307 citations), Medical Laboratory Technology (16 citations) and Computer Vision and Pattern Recognition (231 citations). Wangpeng An has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Xiaochun Luo, Heng Li, Lieyun Ding, Fang Qi, Timothy M. Rose, Hanbin Luo, Jun Xu, Lei Zhang, Haoqian Wang and Qingyun Sun. Their work appears in journals such as Advanced Engineering Informatics, IEEE Transactions on Neural Networks and Learning Systems, Automation in Construction, Sensors and Pattern Recognition.
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.