Fei Long
Impact in
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- stochastic dynamics and bifurcation
Papers in
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- stochastic dynamics and bifurcation 9
- Advanced Thermodynamics and Statistical Mechanics 2
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- Electric Motor Design and Analysis 2
- Perovskite Materials and Applications 2
- Co-authors
- Chia-Hsiang Menq (4 shared papers)Huan Tan (1 shared paper)Luis A. Mateos (1 shared paper)Adam King (1 shared paper)Dejun Guo (1 shared paper)Houzhu Ding (1 shared paper)Yang Shen (1 shared paper)Zhipeng Zhang (1 shared paper)
- Journals
- Physica A Statistical Mechanics and its Applications (3 papers)IEEE/ASME Transactions on Mechatronics (3 papers)IEEE Transactions on Robotics (1 paper)Ocean Engineering (1 paper)IEEE Access (1 paper)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Fei Long
23 papers receiving 475 citations
Peers
Comparison fields: 5 of 94
- Statistical and Nonlinear Physics 127
- Health Informatics 8
- Condensed Matter Physics 51
- Modeling and Simulation 16
- Statistics, Probability and Uncertainty 23
Countries citing papers authored by Fei Long
This map shows the geographic impact of Fei Long'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 Fei Long with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fei Long more than expected).
Fields of papers citing papers by Fei Long
This network shows the impact of papers produced by Fei Long. 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 Fei Long. The network helps show where Fei Long may publish in the future.
Co-authors
The 25 scholars most cited alongside Fei Long, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 163 | |
| 2 | 2022 | 75 | |
| 3 | 2015 | 70 | |
| 4 | 2012 | 36 | |
| 5 | 2012 | 26 | |
| 6 | 2014 | 24 | |
| 7 | 2015 | 17 | |
| 8 | 2014 | 16 | |
| 9 | 2009 | 9 | |
| 10 | 2016 | 8 | |
| 11 | 2021 | 8 | |
| 12 | 2023 | 6 | |
| 13 | 2024 | 5 | |
| 14 | 2024 | 5 | |
| 15 | 2009 | 5 | |
| 16 | 2020 | 4 | |
| 17 | 2014 | 4 | |
| 18 | 2013 | 3 | |
| 19 | 2015 | 2 | |
| 20 | 2021 | 2 |
About Fei Long
Fei Long is a scholar working on Statistical and Nonlinear Physics, Electrical and Electronic Engineering, Global and Planetary Change, Computer Networks and Communications and Control and Systems Engineering, having authored 24 papers that have together received 493 indexed citations. Recurring topics across this work include stochastic dynamics and bifurcation (9 papers), Ecosystem dynamics and resilience (8 papers), Nonlinear Dynamics and Pattern Formation (4 papers), Micro and Nano Robotics (3 papers), Microfluidic and Bio-sensing Technologies (3 papers), Electric Motor Design and Analysis (2 papers), Advanced Thermodynamics and Statistical Mechanics (2 papers) and Perovskite Materials and Applications (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (127 citations), Health Informatics (8 citations), Condensed Matter Physics (51 citations), Modeling and Simulation (16 citations) and Statistics, Probability and Uncertainty (23 citations). Fei Long has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Chia-Hsiang Menq, Huan Tan, Luis A. Mateos, Adam King, Dejun Guo, Houzhu Ding, Yang Shen, Zhipeng Zhang, Dong-Cheng Mei and Dong Tian. Their work appears in journals such as Physica A Statistical Mechanics and its Applications, IEEE/ASME Transactions on Mechatronics, IEEE Transactions on Robotics, Ocean Engineering and IEEE Access.
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.