Feng 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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- Target Tracking and Data Fusion in Sensor Networks 24
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- IoT and Edge/Fog Computing 13
- Distributed Sensor Networks and Detection Algorithms 6
- Co-authors
- Quan Pan (16 shared papers)Linbo Zhai (19 shared papers)Yan Liang (10 shared papers)Xiaoxu Wang (3 shared papers)Jingmei Zhao (9 shared papers)Xiumin Zhu (9 shared papers)Shao‐Wu Zhang (1 shared paper)Wei Chen (1 shared paper)
In The Last Decade
Feng Yang
88 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 87
- Computer Networks and Communications 388
- Aerospace Engineering 261
- Artificial Intelligence 309
- Control and Systems Engineering 196
- Computer Vision and Pattern Recognition 173
Countries citing papers authored by Feng Yang
This map shows the geographic impact of Feng 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 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 Yang more than expected).
Fields of papers citing papers by Feng Yang
This network shows the impact of papers produced by Feng 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 Yang. The network helps show where Feng Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Feng 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 97 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 87 | |
| 2 | 2008 | 72 | |
| 3 | 2020 | 70 | |
| 4 | 2021 | 55 | |
| 5 | 2014 | 42 | |
| 6 | 2017 | 40 | |
| 7 | 2022 | 39 | |
| 8 | 2021 | 36 | |
| 9 | 2022 | 33 | |
| 10 | 2023 | 32 | |
| 11 | 2013 | 31 | |
| 12 | 2021 | 28 | |
| 13 | 2016 | 27 | |
| 14 | 2016 | 27 | |
| 15 | 2022 | 25 | |
| 16 | 2019 | 23 | |
| 17 | 2024 | 23 | |
| 18 | 2020 | 20 | |
| 19 | 2022 | 19 | |
| 20 | 2020 | 18 |
About Feng Yang
Feng Yang is a scholar working on Artificial Intelligence, Computer Networks and Communications, Electrical and Electronic Engineering, Aerospace Engineering and Computer Vision and Pattern Recognition, having authored 97 papers that have together received 1.1k indexed citations. Recurring topics across this work include Target Tracking and Data Fusion in Sensor Networks (24 papers), IoT and Edge/Fog Computing (13 papers), Fault Detection and Control Systems (7 papers), Distributed Sensor Networks and Detection Algorithms (6 papers), Advanced Neural Network Applications (6 papers), Infrared Target Detection Methodologies (6 papers), Advanced Measurement and Detection Methods (6 papers) and Energy Harvesting in Wireless Networks (5 papers). The work is most often cited by research in Computer Networks and Communications (388 citations), Aerospace Engineering (261 citations), Artificial Intelligence (309 citations), Control and Systems Engineering (196 citations) and Computer Vision and Pattern Recognition (173 citations). Feng 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, Shao‐Wu Zhang, Wei Chen, Lianghui Ding and Lingyu Yang. Their work appears in journals such as IEEE Access, Expert Systems with Applications, IEEE Transactions on Automatic Control, European Polymer Journal and Journal of Alloys and Compounds.
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.