Zhi‐Sheng Ye
- Safety, Risk, Reliability and Quality top 0.01%
- Statistics and Probability top 0.1%
- Statistics, Probability and Uncertainty top 0.05%
- Control and Systems Engineering top 0.5%
- Software top 0.2%
- Topics
- Reliability and Maintenance Optimization (83 papers)Statistical Distribution Estimation and Applications (48 papers)Probabilistic and Robust Engineering Design (32 papers)
In The Last Decade
Zhi‐Sheng Ye
140 papers receiving 5.6k citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Safety, Risk, Reliability and Quality 3.9k
- Statistics and Probability 1.9k
- Statistics, Probability and Uncertainty 1.8k
- Control and Systems Engineering 1.2k
- Software 1.2k
Countries citing papers authored by Zhi‐Sheng Ye
This map shows the geographic impact of Zhi‐Sheng Ye'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 Zhi‐Sheng Ye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhi‐Sheng Ye more than expected).
Fields of papers citing papers by Zhi‐Sheng Ye
This network shows the impact of papers produced by Zhi‐Sheng Ye. 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 Zhi‐Sheng Ye. The network helps show where Zhi‐Sheng Ye may publish in the future.
Co-authorship network of co-authors of Zhi‐Sheng Ye
This figure shows the co-authorship network connecting the top 25 collaborators of Zhi‐Sheng Ye. A scholar is included among the top collaborators of Zhi‐Sheng Ye based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Zhi‐Sheng Ye. Zhi‐Sheng Ye is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 7 | |
| 4 | 2 | |
| 5 | 16 | |
| 6 | 4 | |
| 7 | 2 | |
| 8 | 34 | |
| 9 | 51 | |
| 10 | 26 | |
| 11 | 2 | |
| 12 | 18 | |
| 13 | 37 | |
| 14 | 2 | |
| 15 | 2 | |
| 16 | 10 | |
| 17 | 16 | |
| 18 | 50 | |
| 19 | Comments : EM-based likelihood inference for some lifetime distributions based on left truncated and right censored data and associated model discriminatio | 3 |
| 20 | Supplemental Material: The Inverse Gaussian Process as a Degradation Model | 2 |
About Zhi‐Sheng Ye
Zhi‐Sheng Ye is a scholar working on Safety, Risk, Reliability and Quality, Statistics, Probability and Uncertainty and Software, having authored 148 papers that have together received 5.6k indexed citations. Recurring topics across this work include Reliability and Maintenance Optimization (83 papers), Statistical Distribution Estimation and Applications (48 papers) and Probabilistic and Robust Engineering Design (32 papers). The work is most often cited by research in Safety, Risk, Reliability and Quality (3.9k citations), Software (1.2k citations) and Statistics, Probability and Uncertainty (1.8k citations). Zhi‐Sheng Ye has collaborated with scholars based in Singapore, China and Hong Kong. Frequent co-authors include Nan Chen, Min Xie, Qingqing Zhai, Qiuzhuang Sun, Weiwen Peng, Kwok‐Leung Tsui, Yan Shen, Yu Wang, Piao Chen and Loon‐Ching Tang. Their work appears in journals such as Journal of the American Statistical Association, Technometrics and IEEE Transactions on Automatic Control.
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.