Mingxia Li
Impact in
- Computational Mechanics top 10%
- Advanced Numerical Methods in Computational Mathematics
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- Autonomous Vehicle Technology and Safety
Papers in
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- Advanced Numerical Methods in Computational Mathematics 13
- Advanced Numerical Analysis Techniques 4
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- Numerical methods in engineering 10
- Co-authors
- Shipeng Mao (9 shared papers)Zenglin Xu (1 shared paper)Ni Wang (1 shared paper)Yazhou Ren (1 shared paper)Lifan Wang (1 shared paper)Qinglei Chong (1 shared paper)Lei Wang (1 shared paper)Fanke Meng (1 shared paper)
- Journals
- Journal of Computational and Applied Mathematics (4 papers)Ultrasonic Imaging (2 papers)Materials (2 papers)IEEE Robotics and Automation Letters (1 paper)Journal of the American Chemical Society (1 paper)
- Partner nations
- ChinaUnited StatesFinland
In The Last Decade
Mingxia Li
59 papers receiving 547 citations
Peers
Comparison fields: 5 of 103
- Computational Mechanics 101
- Automotive Engineering 49
- Numerical Analysis 19
- Computational Mathematics 2
- Computer Vision and Pattern Recognition 69
Countries citing papers authored by Mingxia Li
This map shows the geographic impact of Mingxia 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 Mingxia Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingxia Li more than expected).
Fields of papers citing papers by Mingxia Li
This network shows the impact of papers produced by Mingxia 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 Mingxia Li. The network helps show where Mingxia Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Mingxia 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
Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 82 | |
| 2 | 2020 | 72 | |
| 3 | 2021 | 58 | |
| 4 | 2017 | 34 | |
| 5 | 2021 | 30 | |
| 6 | 2021 | 28 | |
| 7 | 2009 | 22 | |
| 8 | 2020 | 19 | |
| 9 | 2014 | 15 | |
| 10 | 2016 | 14 | |
| 11 | 2024 | 13 | |
| 12 | 2021 | 11 | |
| 13 | 2007 | 11 | |
| 14 | 2009 | 10 | |
| 15 | 2022 | 9 | |
| 16 | 2016 | 8 | |
| 17 | 2016 | 8 | |
| 18 | 2013 | 7 | |
| 19 | 2021 | 7 | |
| 20 | 2023 | 6 |
About Mingxia Li
Mingxia Li is a scholar working on Computational Mechanics, Mechanics of Materials, Electrical and Electronic Engineering, Computational Theory and Mathematics and Civil and Structural Engineering, having authored 66 papers that have together received 554 indexed citations. Recurring topics across this work include Advanced Numerical Methods in Computational Mathematics (13 papers), Numerical methods in engineering (10 papers), Advanced Numerical Analysis Techniques (4 papers), Advanced Mathematical Modeling in Engineering (4 papers), Asphalt Pavement Performance Evaluation (4 papers), Electromagnetic Simulation and Numerical Methods (3 papers), Opportunistic and Delay-Tolerant Networks (3 papers) and Geotechnical Engineering and Underground Structures (3 papers). The work is most often cited by research in Computational Mechanics (101 citations), Automotive Engineering (49 citations), Numerical Analysis (19 citations), Computational Mathematics (2 citations) and Computer Vision and Pattern Recognition (69 citations). Mingxia Li has collaborated with scholars based in China, United States and Finland. Frequent co-authors include Shipeng Mao, Zenglin Xu, Ni Wang, Yazhou Ren, Lifan Wang, Qinglei Chong, Lei Wang, Fanke Meng, M. Riaz Khan and Rashid Ali. Their work appears in journals such as Journal of Computational and Applied Mathematics, Ultrasonic Imaging, Materials, IEEE Robotics and Automation Letters and Journal of the American Chemical Society.
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.