Mian Li
- Electrical and Electronic Engineering top 10%
- Automotive Engineering top 2%
- Computational Theory and Mathematics top 1%
- Statistics, Probability and Uncertainty top 0.5%
- Management Science and Operations Research top 2%
- Topics
- Advanced Multi-Objective Optimization Algorithms (28 papers)Probabilistic and Robust Engineering Design (22 papers)Optimal Experimental Design Methods (15 papers)
- Cited by
- Statistics, Probability and UncertaintyAutomotive EngineeringComputational Theory and Mathematics
- Journals
- Journal of Clinical OncologySHILAP Revista de lepidopterologíaGastroenterology
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Mian Li
136 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 164
- Electrical and Electronic Engineering 447
- Automotive Engineering 415
- Computational Theory and Mathematics 367
- Statistics, Probability and Uncertainty 363
- Management Science and Operations Research 270
Countries citing papers authored by Mian Li
This map shows the geographic impact of Mian 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 Mian Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mian Li more than expected).
Fields of papers citing papers by Mian Li
This network shows the impact of papers produced by Mian 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 Mian Li. The network helps show where Mian Li may publish in the future.
Co-authorship network of co-authors of Mian Li
This figure shows the co-authorship network connecting the top 25 collaborators of Mian Li. A scholar is included among the top collaborators of Mian Li 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 Mian Li. Mian Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 7 | |
| 3 | 6 | |
| 4 | 11 | |
| 5 | 9 | |
| 6 | 4 | |
| 7 | 3 | |
| 8 | 1 | |
| 9 | 7 | |
| 10 | 0 | |
| 11 | 7 | |
| 12 | 6 | |
| 13 | 4 | |
| 14 | 28 | |
| 15 | 27 | |
| 16 | 103 | |
| 17 | 5 | |
| 18 | 18 | |
| 19 | 93 | |
| 20 | 23 |
About Mian Li
Mian Li is a scholar working on Statistics, Probability and Uncertainty, Management Science and Operations Research and Computational Theory and Mathematics, having authored 140 papers that have together received 2.3k indexed citations. Recurring topics across this work include Advanced Multi-Objective Optimization Algorithms (28 papers), Probabilistic and Robust Engineering Design (22 papers) and Optimal Experimental Design Methods (15 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (363 citations), Automotive Engineering (415 citations) and Computational Theory and Mathematics (367 citations). Mian Li has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Chengbin Ma, He Yin, Shapour Azarm, Chen Zhao, Yufang Bi, Guang Ning, Zhou Jian-hua, Min Xu, Wenhao Zhou and Weiqing Wang. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Gastroenterology.
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.