Feng Ping Yang
Impact in
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- IoT and Edge/Fog Computing
- Distributed Sensor Networks and Detection Algorithms
- Aerospace Engineering top 5%
- UAV Applications and Optimization
- Infrared Target Detection Methodologies
Papers in
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- IoT and Edge/Fog Computing 13
- Distributed Sensor Networks and Detection Algorithms 6
- Age of Information Optimization 5
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- Target Tracking and Data Fusion in Sensor Networks 25
- Co-authors
- Quan Pan (18 shared papers)Linbo Zhai (20 shared papers)Yan Liang (11 shared papers)Xiaoxu Wang (3 shared papers)Jingmei Zhao (9 shared papers)Xiumin Zhu (9 shared papers)Wei Chen (1 shared paper)Shao‐Wu Zhang (1 shared paper)
In The Last Decade
Feng Ping Yang
95 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 91
- Computer Networks and Communications 431
- Aerospace Engineering 286
- Artificial Intelligence 340
- Computer Vision and Pattern Recognition 198
- Control and Systems Engineering 206
Countries citing papers authored by Feng Ping Yang
This map shows the geographic impact of Feng Ping Yang'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 Feng Ping Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feng Ping Yang more than expected).
Fields of papers citing papers by Feng Ping Yang
This network shows the impact of papers produced by Feng Ping Yang. 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 Feng Ping Yang. The network helps show where Feng Ping Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Feng Ping Yang, 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 104 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 92 | |
| 2 | 2020 | 77 | |
| 3 | 2008 | 73 | |
| 4 | 2021 | 63 | |
| 5 | 2014 | 45 | |
| 6 | 2017 | 44 | |
| 7 | 2022 | 43 | |
| 8 | 2021 | 42 | |
| 9 | 2022 | 41 | |
| 10 | 2023 | 36 | |
| 11 | 2021 | 34 | |
| 12 | 2024 | 34 | |
| 13 | 2013 | 33 | |
| 14 | 2016 | 29 | |
| 15 | 2022 | 29 | |
| 16 | 2016 | 28 | |
| 17 | 2024 | 27 | |
| 18 | 2020 | 23 | |
| 19 | 2019 | 23 | |
| 20 | 2020 | 23 |
About Feng Ping Yang
Feng Ping Yang is a scholar working on Computer Networks and Communications, Artificial Intelligence, Aerospace Engineering, Computer Vision and Pattern Recognition and Control and Systems Engineering, having authored 104 papers that have together received 1.3k indexed citations. Recurring topics across this work include Target Tracking and Data Fusion in Sensor Networks (25 papers), IoT and Edge/Fog Computing (13 papers), Fault Detection and Control Systems (8 papers), Advanced Measurement and Detection Methods (7 papers), Advanced Neural Network Applications (6 papers), Distributed Sensor Networks and Detection Algorithms (6 papers), Infrared Target Detection Methodologies (6 papers) and Age of Information Optimization (5 papers). The work is most often cited by research in Computer Networks and Communications (431 citations), Aerospace Engineering (286 citations), Artificial Intelligence (340 citations), Computer Vision and Pattern Recognition (198 citations) and Control and Systems Engineering (206 citations). Feng Ping Yang has collaborated with scholars based in China, Thailand and Ireland. Frequent co-authors include Quan Pan, Linbo Zhai, Yan Liang, Xiaoxu Wang, Jingmei Zhao, Xiumin Zhu, Wei Chen, Shao‐Wu Zhang, Lingyu Yang and Lianghui Ding. Their work appears in journals such as IEEE Access, Expert Systems with Applications, Journal of Alloys and Compounds, Automatica and IEEE Transactions on Automatic Control.
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.