Kai Yuan
- Statistics, Probability and Uncertainty top 0.5%
- Computational Theory and Mathematics top 5%
- Surgery
- Civil and Structural Engineering top 10%
- Pathology and Forensic Medicine
- Co-authors
- Ning‐Cong XiaoChengning ZhouZhonglai WangKun ShangHui‐zhi GuoYong‐chao TangYongxian LiDan‐qing Guo
- Topics
- Spine and Intervertebral Disc Pathology (8 papers)Probabilistic and Robust Engineering Design (7 papers)Scoliosis diagnosis and treatment (5 papers)
- Cited by
- Statistics, Probability and UncertaintyComputational Theory and MathematicsManagement Science and Operations Research
- Journals
- Scientific ReportsComputer Methods in Applied Mechanics and EngineeringAdvances in Colloid and Interface Science
- Partner nations
- ChinaAustraliaSaudi Arabia
In The Last Decade
Kai Yuan
28 papers receiving 604 citations
Peers
Comparison fields: 5 of 69
- Statistics, Probability and Uncertainty 327
- Computational Theory and Mathematics 175
- Surgery 141
- Civil and Structural Engineering 139
- Pathology and Forensic Medicine 114
Countries citing papers authored by Kai Yuan
This map shows the geographic impact of Kai Yuan'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 Kai Yuan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Yuan more than expected).
Fields of papers citing papers by Kai Yuan
This network shows the impact of papers produced by Kai Yuan. 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 Kai Yuan. The network helps show where Kai Yuan may publish in the future.
Co-authorship network of co-authors of Kai Yuan
This figure shows the co-authorship network connecting the top 25 collaborators of Kai Yuan. A scholar is included among the top collaborators of Kai Yuan 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 Kai Yuan. Kai Yuan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 13 | |
| 6 | 11 | |
| 7 | 12 | |
| 8 | 11 | |
| 9 | 84 | |
| 10 | 15 | |
| 11 | 1 | |
| 12 | 21 | |
| 13 | 69 | |
| 14 | 73 | |
| 15 | 11 | |
| 16 | 1 | |
| 17 | 0 | |
| 18 | 8 | |
| 19 | 3 | |
| 20 | 1 |
About Kai Yuan
Kai Yuan is a scholar working on Statistics, Probability and Uncertainty, Pathology and Forensic Medicine and Civil and Structural Engineering, having authored 31 papers that have together received 619 indexed citations. Recurring topics across this work include Spine and Intervertebral Disc Pathology (8 papers), Probabilistic and Robust Engineering Design (7 papers) and Scoliosis diagnosis and treatment (5 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (327 citations), Computational Theory and Mathematics (175 citations) and Management Science and Operations Research (86 citations). Kai Yuan has collaborated with scholars based in China, Australia and Saudi Arabia. Frequent co-authors include Ning‐Cong Xiao, Chengning Zhou, Zhonglai Wang, Kun Shang, Hui‐zhi Guo, Yong‐chao Tang, Yongxian Li, Dan‐qing Guo, De Liang and Guo‐ye Mo. Their work appears in journals such as Scientific Reports, Computer Methods in Applied Mechanics and Engineering and Advances in Colloid and Interface Science.
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.