Feng Yang
Impact in
- Artificial Intelligence top 5%
- Target Tracking and Data Fusion in Sensor Networks
- Gaussian Processes and Bayesian Inference
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- Fault Detection and Control Systems
- Control Systems and Identification
- Stability and Control of Uncertain Systems
Papers in
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- Target Tracking and Data Fusion in Sensor Networks 57
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- Inertial Sensor and Navigation 11
- Infrared Target Detection Methodologies 7
- Radar Systems and Signal Processing 6
- Co-authors
- Quan Pan (23 shared papers)Yan Liang (23 shared papers)Hang Geng (6 shared papers)Linfeng Xu (6 shared papers)Hua Lan (9 shared papers)Zengfu Wang (7 shared papers)Chunhui Zhao (2 shared papers)Xiaoxu Wang (5 shared papers)
In The Last Decade
Feng Yang
64 papers receiving 539 citations
Peers
Comparison fields: 5 of 58
- Artificial Intelligence 363
- Control and Systems Engineering 215
- Computer Networks and Communications 177
- Aerospace Engineering 156
- Computer Vision and Pattern Recognition 70
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 80 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 51 | |
| 2 | 2014 | 51 | |
| 3 | 2016 | 51 | |
| 4 | 2014 | 41 | |
| 5 | 2020 | 35 | |
| 6 | 2013 | 29 | |
| 7 | 2017 | 22 | |
| 8 | 2016 | 20 | |
| 9 | 2015 | 17 | |
| 10 | 2014 | 16 | |
| 11 | 2024 | 12 | |
| 12 | 2014 | 11 | |
| 13 | 2022 | 10 | |
| 14 | 2019 | 10 | |
| 15 | 2019 | 9 | |
| 16 | 2021 | 8 | |
| 17 | 2012 | 8 | |
| 18 | 2013 | 7 | |
| 19 | Scene matching based EKF-SLAM visual navigation | 2012 | 7 |
| 20 | 2021 | 7 |
About Feng Yang
Feng Yang is a scholar working on Artificial Intelligence, Aerospace Engineering, Control and Systems Engineering, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 80 papers that have together received 546 indexed citations. Recurring topics across this work include Target Tracking and Data Fusion in Sensor Networks (57 papers), Fault Detection and Control Systems (19 papers), Distributed Sensor Networks and Detection Algorithms (16 papers), Inertial Sensor and Navigation (11 papers), Infrared Target Detection Methodologies (7 papers), Control Systems and Identification (6 papers), Indoor and Outdoor Localization Technologies (6 papers) and Radar Systems and Signal Processing (6 papers). The work is most often cited by research in Artificial Intelligence (363 citations), Control and Systems Engineering (215 citations), Computer Networks and Communications (177 citations), Aerospace Engineering (156 citations) and Computer Vision and Pattern Recognition (70 citations). Feng Yang has collaborated with scholars based in China, Italy and Australia. Frequent co-authors include Quan Pan, Yan Liang, Hang Geng, Linfeng Xu, Hua Lan, Zengfu Wang, Chunhui Zhao, Xiaoxu Wang, Yan Liang and Chao Guan. Their work appears in journals such as Sensors, Information Fusion, IEEE Access, IET Control Theory and Applications and IEEE Transactions on Signal Processing.
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.