Feng Lü
Impact in
-
- Fault Detection and Control Systems
- Machine Fault Diagnosis Techniques
- Control Systems and Identification
- Advanced Control Systems Optimization
-
- Advanced Combustion Engine Technologies
Papers in
-
- Fault Detection and Control Systems 43
- Control Systems and Identification 15
- Advanced Control Systems Optimization 8
-
- Machine Learning and ELM 16
- Target Tracking and Data Fusion in Sensor Networks 15
- Co-authors
- Jinquan Huang (67 shared papers)Xiaojie Qiu (18 shared papers)Xin Zhou (11 shared papers)Wenxiang Zhou (11 shared papers)Hong-Fei Ju (1 shared paper)J. WU (2 shared papers)Jianbing Peng (1 shared paper)Yanqiu Leng (1 shared paper)
In The Last Decade
Feng Lü
110 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 88
- Control and Systems Engineering 833
- Fluid Flow and Transfer Processes 172
- Statistics, Probability and Uncertainty 118
- Automotive Engineering 172
- Artificial Intelligence 373
Countries citing papers authored by Feng Lü
This map shows the geographic impact of Feng Lü'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 Lü with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feng Lü more than expected).
Fields of papers citing papers by Feng Lü
This network shows the impact of papers produced by Feng Lü. 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 Lü. The network helps show where Feng Lü may publish in the future.
Co-authors
The 25 scholars most cited alongside Feng Lü, 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 120 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 79 | |
| 2 | 2016 | 72 | |
| 3 | 2018 | 66 | |
| 4 | 2020 | 55 | |
| 5 | 2019 | 47 | |
| 6 | 2018 | 46 | |
| 7 | 2017 | 45 | |
| 8 | 2017 | 43 | |
| 9 | 2013 | 41 | |
| 10 | 2022 | 37 | |
| 11 | 2017 | 36 | |
| 12 | 2021 | 33 | |
| 13 | 2013 | 33 | |
| 14 | 2016 | 32 | |
| 15 | 2016 | 30 | |
| 16 | 2016 | 29 | |
| 17 | 2019 | 29 | |
| 18 | 2019 | 29 | |
| 19 | 2021 | 28 | |
| 20 | 2017 | 27 |
About Feng Lü
Feng Lü is a scholar working on Control and Systems Engineering, Artificial Intelligence, Biomedical Engineering, Electrical and Electronic Engineering and Computer Networks and Communications, having authored 120 papers that have together received 1.5k indexed citations. Recurring topics across this work include Fault Detection and Control Systems (43 papers), Advanced Sensor Technologies Research (18 papers), Machine Learning and ELM (16 papers), Control Systems and Identification (15 papers), Target Tracking and Data Fusion in Sensor Networks (15 papers), Advanced Combustion Engine Technologies (11 papers), Advanced Measurement and Detection Methods (10 papers) and Advanced Control Systems Optimization (8 papers). The work is most often cited by research in Control and Systems Engineering (833 citations), Fluid Flow and Transfer Processes (172 citations), Statistics, Probability and Uncertainty (118 citations), Automotive Engineering (172 citations) and Artificial Intelligence (373 citations). Feng Lü has collaborated with scholars based in China, Canada and Singapore. Frequent co-authors include Jinquan Huang, Xiaojie Qiu, Xin Zhou, Wenxiang Zhou, Hong-Fei Ju, J. WU, Jianbing Peng, Yanqiu Leng, Shuo Wang and Yafan Wang. Their work appears in journals such as Aerospace Science and Technology, Energies, International Journal of Turbo and Jet Engines, Chinese Journal of Aeronautics and Applied Sciences.
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.