Mingyang Pan
Impact in
- Biomedical Engineering top 10%
- Plasmonic and Surface Plasmon Research
- Nanofluid Flow and Heat Transfer
- Biosensors and Analytical Detection
- Modeling and Simulation top 10%
Papers in
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- Plasmonic and Surface Plasmon Research 8
- Nanofluid Flow and Heat Transfer 8
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- Lattice Boltzmann Simulation Studies 6
- Fluid Dynamics and Thin Films 5
- Co-authors
- Pei‐Kuen Wei (10 shared papers)Kuang‐Li Lee (7 shared papers)Chunyan Liu (7 shared papers)Ping Lin (4 shared papers)Liancun Zheng (4 shared papers)Dongdong He (8 shared papers)Kejia Pan (3 shared papers)Fawang Liu (4 shared papers)
In The Last Decade
Mingyang Pan
29 papers receiving 404 citations
Peers
Comparison fields: 5 of 66
- Biomedical Engineering 290
- Modeling and Simulation 27
- Electronic, Optical and Magnetic Materials 94
- Computational Mechanics 97
- Surfaces, Coatings and Films 24
Countries citing papers authored by Mingyang Pan
This map shows the geographic impact of Mingyang Pan'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 Mingyang Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingyang Pan more than expected).
Fields of papers citing papers by Mingyang Pan
This network shows the impact of papers produced by Mingyang Pan. 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 Mingyang Pan. The network helps show where Mingyang Pan may publish in the future.
Co-authors
The 25 scholars most cited alongside Mingyang Pan, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 67 | |
| 2 | 2019 | 49 | |
| 3 | 2018 | 41 | |
| 4 | 2016 | 36 | |
| 5 | 2018 | 25 | |
| 6 | 2018 | 22 | |
| 7 | 2020 | 18 | |
| 8 | 2017 | 17 | |
| 9 | 2016 | 17 | |
| 10 | 2019 | 16 | |
| 11 | 2020 | 14 | |
| 12 | 2019 | 14 | |
| 13 | 2017 | 10 | |
| 14 | 2016 | 8 | |
| 15 | 2017 | 7 | |
| 16 | 2015 | 6 | |
| 17 | 2016 | 6 | |
| 18 | 2013 | 6 | |
| 19 | 2023 | 5 | |
| 20 | 2024 | 5 |
About Mingyang Pan
Mingyang Pan is a scholar working on Biomedical Engineering, Computational Mechanics, Electrical and Electronic Engineering, Molecular Biology and Modeling and Simulation, having authored 30 papers that have together received 412 indexed citations. Recurring topics across this work include Plasmonic and Surface Plasmon Research (8 papers), Nanofluid Flow and Heat Transfer (8 papers), Lattice Boltzmann Simulation Studies (6 papers), Fractional Differential Equations Solutions (5 papers), Fluid Dynamics and Thin Films (5 papers), Optical Coatings and Gratings (4 papers), Advanced biosensing and bioanalysis techniques (4 papers) and Photonic and Optical Devices (3 papers). The work is most often cited by research in Biomedical Engineering (290 citations), Modeling and Simulation (27 citations), Electronic, Optical and Magnetic Materials (94 citations), Computational Mechanics (97 citations) and Surfaces, Coatings and Films (24 citations). Mingyang Pan has collaborated with scholars based in China, Taiwan and Australia. Frequent co-authors include Pei‐Kuen Wei, Kuang‐Li Lee, Chunyan Liu, Ping Lin, Liancun Zheng, Dongdong He, Kejia Pan, Fawang Liu, Xu Shi and Hiroaki Misawa. Their work appears in journals such as Communications in Nonlinear Science and Numerical Simulation, Scientific Reports, Journal of Computational and Applied Mathematics, Computers & Mathematics with Applications and Journal of Computational Physics.
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.