Peng Wang
Impact in
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- Video Surveillance and Tracking Methods
- Robotic Path Planning Algorithms
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- Digital Transformation in Industry
Papers in
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- Video Surveillance and Tracking Methods 15
- Robotic Path Planning Algorithms 12
- Advanced Vision and Imaging 11
- Advanced Image and Video Retrieval Techniques 10
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- Robotics and Sensor-Based Localization 35
- Co-authors
- En Fan (2 shared papers)Pin Wang (2 shared papers)Zonghai Chen (21 shared papers)Yiran Yang (1 shared paper)Narges Shayesteh Moghaddam (1 shared paper)Wenhua Jiao (1 shared paper)Qiyue Wang (1 shared paper)Yuming Zhang (1 shared paper)
- Journals
- Neurocomputing (5 papers)IEEE Robotics and Automation Letters (3 papers)Applied Sciences (3 papers)Pattern Recognition Letters (2 papers)Engineering Applications of Artificial Intelligence (2 papers)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Peng Wang
181 papers receiving 2.7k citations
Peng Wang's Hit Papers
Peers
Comparison fields: 5 of 171
- Computer Vision and Pattern Recognition 708
- Industrial and Manufacturing Engineering 264
- Automotive Engineering 275
- Aerospace Engineering 367
- Geology 77
Countries citing papers authored by Peng Wang
This map shows the geographic impact of Peng 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 Peng Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peng Wang more than expected).
Fields of papers citing papers by Peng Wang
This network shows the impact of papers produced by Peng 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 Peng Wang. The network helps show where Peng Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Peng 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 209 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Comparative analysis of image classification algorithms based on traditional machine learning and deep learning Hit paper breakdown → | 2020 | 571 |
| 2 | 2020 | 137 | |
| 3 | 2015 | 127 | |
| 4 | 2021 | 106 | |
| 5 | 2019 | 93 | |
| 6 | 2023 | 86 | |
| 7 | 2018 | 85 | |
| 8 | 2017 | 60 | |
| 9 | 2009 | 57 | |
| 10 | 2013 | 55 | |
| 11 | 2020 | 55 | |
| 12 | 2021 | 49 | |
| 13 | 2020 | 47 | |
| 14 | 2009 | 44 | |
| 15 | 2009 | 41 | |
| 16 | 2018 | 38 | |
| 17 | Risk-averse energy management for integrated electricity and heat systems considering building heating vertical imbalance: An asynchronous decentralized approach Hit paper breakdown → | 2025 | 35 |
| 18 | 2022 | 35 | |
| 19 | 2021 | 35 | |
| 20 | 2011 | 34 |
About Peng Wang
Peng Wang is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Artificial Intelligence, Electrical and Electronic Engineering and Control and Systems Engineering, having authored 209 papers that have together received 2.8k indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (35 papers), Video Surveillance and Tracking Methods (15 papers), Indoor and Outdoor Localization Technologies (12 papers), Robotic Path Planning Algorithms (12 papers), Advanced Vision and Imaging (11 papers), Anomaly Detection Techniques and Applications (10 papers), Underwater Vehicles and Communication Systems (10 papers) and Advanced Image and Video Retrieval Techniques (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (708 citations), Industrial and Manufacturing Engineering (264 citations), Automotive Engineering (275 citations), Aerospace Engineering (367 citations) and Geology (77 citations). Peng Wang has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include En Fan, Pin Wang, Zonghai Chen, Yiran Yang, Narges Shayesteh Moghaddam, Wenhua Jiao, Qiyue Wang, Yuming Zhang, Guangzhong Dong and Jingwen Wei. Their work appears in journals such as Neurocomputing, IEEE Robotics and Automation Letters, Applied Sciences, Pattern Recognition Letters and Engineering Applications of 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.