Cheng‐Wei Fei
Impact in
- Statistics, Probability and Uncertainty top 0.05%
- Probabilistic and Robust Engineering Design
- Mechanics of Materials top 0.5%
- Fatigue and fracture mechanics
Papers in
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- Probabilistic and Robust Engineering Design 72
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- Fatigue and fracture mechanics 30
- Co-authors
- Guang-Chen Bai (32 shared papers)Cheng Lu (37 shared papers)Lu-Kai Song (10 shared papers)Yunwen Feng (16 shared papers)Yat Sze Choy (17 shared papers)Wenzhong Tang (12 shared papers)Rhea P. Liem (5 shared papers)Liqiang An (6 shared papers)
In The Last Decade
Cheng‐Wei Fei
132 papers receiving 3.1k citations
Peers
Comparison fields: 5 of 116
- Statistics, Probability and Uncertainty 1.5k
- Mechanics of Materials 1.2k
- Civil and Structural Engineering 743
- Mechanical Engineering 1.1k
- Control and Systems Engineering 603
Countries citing papers authored by Cheng‐Wei Fei
This map shows the geographic impact of Cheng‐Wei Fei'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 Cheng‐Wei Fei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cheng‐Wei Fei more than expected).
Fields of papers citing papers by Cheng‐Wei Fei
This network shows the impact of papers produced by Cheng‐Wei Fei. 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 Cheng‐Wei Fei. The network helps show where Cheng‐Wei Fei may publish in the future.
Co-authors
The 25 scholars most cited alongside Cheng‐Wei Fei, 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 139 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 91 | |
| 2 | 2018 | 86 | |
| 3 | 2021 | 84 | |
| 4 | 2016 | 84 | |
| 5 | 2019 | 74 | |
| 6 | 2018 | 74 | |
| 7 | 2020 | 73 | |
| 8 | 2021 | 70 | |
| 9 | 2021 | 70 | |
| 10 | 2020 | 70 | |
| 11 | 2017 | 69 | |
| 12 | 2020 | 66 | |
| 13 | 2019 | 66 | |
| 14 | 2015 | 65 | |
| 15 | 2021 | 58 | |
| 16 | 2021 | 55 | |
| 17 | 2019 | 54 | |
| 18 | 2019 | 53 | |
| 19 | 2022 | 52 | |
| 20 | 2021 | 52 |
About Cheng‐Wei Fei
Cheng‐Wei Fei is a scholar working on Statistics, Probability and Uncertainty, Mechanics of Materials, Mechanical Engineering, Aerospace Engineering and Civil and Structural Engineering, having authored 139 papers that have together received 3.2k indexed citations. Recurring topics across this work include Probabilistic and Robust Engineering Design (72 papers), Fatigue and fracture mechanics (30 papers), Turbomachinery Performance and Optimization (24 papers), Advanced Multi-Objective Optimization Algorithms (18 papers), Machine Fault Diagnosis Techniques (16 papers), Structural Health Monitoring Techniques (14 papers), Computational Fluid Dynamics and Aerodynamics (12 papers) and Hydraulic and Pneumatic Systems (11 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (1.5k citations), Mechanics of Materials (1.2k citations), Civil and Structural Engineering (743 citations), Mechanical Engineering (1.1k citations) and Control and Systems Engineering (603 citations). Cheng‐Wei Fei has collaborated with scholars based in China, Hong Kong and Iran. Frequent co-authors include Guang-Chen Bai, Cheng Lu, Lu-Kai Song, Yunwen Feng, Yat Sze Choy, Wenzhong Tang, Rhea P. Liem, Liqiang An, Yanting Ai and Haifeng Gao. Their work appears in journals such as Aerospace Science and Technology, Engineering Failure Analysis, Mechanical Systems and Signal Processing, Journal of Central South University and Materials.
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.