Xiaolei Yin
- Statistics, Probability and Uncertainty top 1%
- Mechanics of Materials top 10%
- Computational Theory and Mathematics top 5%
- Atomic and Molecular Physics, and Optics
- Artificial Intelligence top 10%
- Co-authors
- Wei ChenWing Kam LiuCahal McVeighAlbert C. ToAlan BowlingM.F. HorstemeyerXiaoguang WangSang‐Hoon Lee
- Topics
- Probabilistic and Robust Engineering Design (10 papers)Topology Optimization in Engineering (5 papers)Advanced Multi-Objective Optimization Algorithms (4 papers)
- Cited by
- Statistics, Probability and UncertaintyComputational Theory and MathematicsMechanics of Materials
- Journals
- Physical Review AComputer Methods in Applied Mechanics and EngineeringInternational Journal for Numerical Methods in Engineering
- Partner nations
- United StatesChinaSouth Korea
In The Last Decade
Xiaolei Yin
22 papers receiving 482 citations
Peers
Comparison fields: 5 of 63
- Statistics, Probability and Uncertainty 179
- Mechanics of Materials 153
- Computational Theory and Mathematics 127
- Atomic and Molecular Physics, and Optics 105
- Artificial Intelligence 101
Countries citing papers authored by Xiaolei Yin
This map shows the geographic impact of Xiaolei Yin'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 Xiaolei Yin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaolei Yin more than expected).
Fields of papers citing papers by Xiaolei Yin
This network shows the impact of papers produced by Xiaolei Yin. 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 Xiaolei Yin. The network helps show where Xiaolei Yin may publish in the future.
Co-authorship network of co-authors of Xiaolei Yin
This figure shows the co-authorship network connecting the top 25 collaborators of Xiaolei Yin. A scholar is included among the top collaborators of Xiaolei Yin 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 Xiaolei Yin. Xiaolei Yin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 5 | |
| 3 | 1 | |
| 4 | 49 | |
| 5 | 37 | |
| 6 | 16 | |
| 7 | 6 | |
| 8 | 27 | |
| 9 | 16 | |
| 10 | 27 | |
| 11 | 39 | |
| 12 | 57 | |
| 13 | 4 | |
| 14 | 103 | |
| 15 | 18 | |
| 16 | 17 | |
| 17 | 28 | |
| 18 | 1 | |
| 19 | 9 | |
| 20 | 6 |
About Xiaolei Yin
Xiaolei Yin is a scholar working on Statistics, Probability and Uncertainty, Mechanics of Materials and Civil and Structural Engineering, having authored 23 papers that have together received 502 indexed citations. Recurring topics across this work include Probabilistic and Robust Engineering Design (10 papers), Topology Optimization in Engineering (5 papers) and Advanced Multi-Objective Optimization Algorithms (4 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (179 citations), Computational Theory and Mathematics (127 citations) and Mechanics of Materials (153 citations). Xiaolei Yin has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Wei Chen, Wing Kam Liu, Cahal McVeigh, Albert C. To, Alan Bowling, M.F. Horstemeyer, Xiaoguang Wang, Sang‐Hoon Lee, Yixiao Huang and Sanghoon Lee. Their work appears in journals such as Physical Review A, Computer Methods in Applied Mechanics and Engineering 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.