Yan‐Fu Li
- Software top 0.5%
- Software Reliability and Analysis Research 33
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- Reliability and Maintenance Optimization 40
- Power System Reliability and Maintenance 16
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- Risk and Safety Analysis 20
- Control and Systems Engineering top 0.5%
- Machine Fault Diagnosis Techniques 26
- Fault Detection and Control Systems 19
- Automotive Engineering top 1%
- Advanced Battery Technologies Research 12
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- Software Engineering Research 20
Yan‐Fu Li
164 papers receiving 4.9k citations
Hit Papers
Peers
Comparison fields: 5 of 148
- Software 845
- Safety, Risk, Reliability and Quality 1.4k
- Statistics, Probability and Uncertainty 721
- Control and Systems Engineering 1.6k
- Automotive Engineering 751
Countries citing papers authored by Yan‐Fu Li
This map shows the geographic impact of Yan‐Fu Li'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 Yan‐Fu Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan‐Fu Li more than expected).
Fields of papers citing papers by Yan‐Fu Li
This network shows the impact of papers produced by Yan‐Fu Li. 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 Yan‐Fu Li. The network helps show where Yan‐Fu Li may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yan‐Fu Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 7 | |
| 4 | 2024 | 12 | |
| 5 | 2024 | 13 | |
| 6 | 2024 | 19 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 13 | |
| 9 | 2024 | 9 | |
| 10 | 2024 | 2 | |
| 11 | 2024 | 9 | |
| 12 | 2023 | 11 | |
| 13 | 2023 | 3 | |
| 14 | 2023 | 54 | |
| 15 | 2023 | 10 | |
| 16 | 2023 | 24 | |
| 17 | 2015 | 19 | |
| 18 | 2013 | 8 | |
| 19 | 2007 | 3 | |
| 20 | 1995 | 9 |
About Yan‐Fu Li
Yan‐Fu Li is a scholar working on Software, Safety, Risk, Reliability and Quality, Statistics, Probability and Uncertainty, Control and Systems Engineering and Industrial and Manufacturing Engineering, having authored 170 papers that have together received 5.1k indexed citations. Recurring topics across this work include Reliability and Maintenance Optimization (40 papers), Software Reliability and Analysis Research (33 papers), Machine Fault Diagnosis Techniques (26 papers), Software Engineering Research (20 papers), Risk and Safety Analysis (20 papers), Fault Detection and Control Systems (19 papers), Power System Reliability and Maintenance (16 papers) and Advanced Battery Technologies Research (12 papers). The work is most often cited by research in Software (845 citations), Safety, Risk, Reliability and Quality (1.4k citations), Statistics, Probability and Uncertainty (721 citations), Control and Systems Engineering (1.6k citations) and Automotive Engineering (751 citations). Yan‐Fu Li has collaborated with scholars based in China, France and Italy. Frequent co-authors include Enrico Zio, Min Xie, Te Han, T.N. Goh, Huixing Meng, Carlos Ruiz, Min Qian, Yan‐Hui Lin, Ying Zhang and Elizaveta Kuznetsova. Their work appears in journals such as Reliability Engineering & System Safety, IEEE Transactions on Reliability, IEEE Transactions on Industrial Informatics, Renewable and Sustainable Energy Reviews and Energy.
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.