Yan‐Feng Li
- Statistics, Probability and Uncertainty top 0.05%
- Probabilistic and Robust Engineering Design 54
- Risk and Safety Analysis 46
- Safety, Risk, Reliability and Quality top 0.05%
- Reliability and Maintenance Optimization 59
- Software top 0.5%
- Software Reliability and Analysis Research 33
- Statistics and Probability top 0.5%
- Statistical Distribution Estimation and Applications 14
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- Fatigue and fracture mechanics 27
- Engineering Diagnostics and Reliability 13
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- Machine Fault Diagnosis Techniques 19
- Co-authors
- Hong‐Zhong HuangJinhua MiWeiwen PengYuan‐Jian YangCheng‐Geng HuangNing‐Cong XiaoYu LiuHuaming Qian
- Journals
- IEEE Transactions on Industrial Electronics (1 paper)Expert Systems with Applications (1 paper)International Journal for Numerical Methods in Engineering (2 papers)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Yan‐Feng Li
193 papers receiving 5.3k citations
Hit Papers
Peers
Comparison fields: 5 of 140
- Statistics, Probability and Uncertainty 2.2k
- Safety, Risk, Reliability and Quality 2.1k
- Software 798
- Medical Laboratory Technology 113
- Statistics and Probability 530
Countries citing papers authored by Yan‐Feng Li
This map shows the geographic impact of Yan‐Feng 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‐Feng 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‐Feng Li more than expected).
Fields of papers citing papers by Yan‐Feng Li
This network shows the impact of papers produced by Yan‐Feng 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‐Feng Li. The network helps show where Yan‐Feng Li may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yan‐Feng 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 | 4 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 3 | |
| 6 | 2024 | 7 | |
| 7 | 2024 | 3 | |
| 8 | 2024 | 1 | |
| 9 | 2024 | 1 | |
| 10 | 2024 | 4 | |
| 11 | 2023 | 19 | |
| 12 | 2023 | 25 | |
| 13 | 2023 | 1 | |
| 14 | 2023 | 4 | |
| 15 | 2021 | 15 | |
| 16 | 2021 | 3 | |
| 17 | 2019 | 65 | |
| 18 | 2018 | 3 | |
| 19 | 2017 | 31 | |
| 20 | 2015 | 63 |
About Yan‐Feng Li
Yan‐Feng Li is a scholar working on Statistics, Probability and Uncertainty, Software and Safety, Risk, Reliability and Quality, having authored 198 papers that have together received 5.5k indexed citations. Recurring topics across this work include Reliability and Maintenance Optimization (59 papers), Probabilistic and Robust Engineering Design (54 papers), Risk and Safety Analysis (46 papers), Software Reliability and Analysis Research (33 papers), Fatigue and fracture mechanics (27 papers), Machine Fault Diagnosis Techniques (19 papers), Statistical Distribution Estimation and Applications (14 papers) and Engineering Diagnostics and Reliability (13 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (2.2k citations), Safety, Risk, Reliability and Quality (2.1k citations) and Software (798 citations). Yan‐Feng Li has collaborated with scholars based in China, United States and France. Frequent co-authors include Hong‐Zhong Huang, Hong‐Zhong Huang, Jinhua Mi, Weiwen Peng, Yuan‐Jian Yang, Cheng‐Geng Huang, Ning‐Cong Xiao, Yu Liu, Huaming Qian and Shun‐Peng Zhu. Their work appears in journals such as IEEE Transactions on Industrial Electronics, Expert Systems with Applications and International Journal for Numerical Methods in Engineering.
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.