Mingyang Pan
Impact in
- Modeling and Simulation top 5%
- Fractional Differential Equations Solutions
- Environmental Engineering top 10%
- Hydrological Forecasting Using AI
Papers in
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- Maritime Navigation and Safety 16
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- Natural Language Processing Techniques 4
- Topic Modeling 4
- Neural Networks and Reservoir Computing 4
- Co-authors
- Shaoxi Li (13 shared papers)Chi‐Hua Chen (5 shared papers)Jiayi Cao (2 shared papers)Fawang Liu (4 shared papers)Liancun Zheng (3 shared papers)Pei‐Kuen Wei (10 shared papers)Zongying Liu (13 shared papers)Xinxin Zhang (1 shared paper)
In The Last Decade
Mingyang Pan
56 papers receiving 727 citations
Peers
Comparison fields: 5 of 106
- Modeling and Simulation 64
- Environmental Engineering 111
- Ocean Engineering 111
- Water Science and Technology 81
- Computer Vision and Pattern Recognition 122
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 67 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 157 | |
| 2 | 2020 | 45 | |
| 3 | 2020 | 43 | |
| 4 | 2017 | 40 | |
| 5 | 2016 | 38 | |
| 6 | 2021 | 33 | |
| 7 | 2015 | 30 | |
| 8 | 2020 | 26 | |
| 9 | 1999 | 26 | |
| 10 | 2015 | 24 | |
| 11 | 2005 | 20 | |
| 12 | 2016 | 18 | |
| 13 | 2019 | 15 | |
| 14 | 2017 | 13 | |
| 15 | 2021 | 13 | |
| 16 | 2009 | 13 | |
| 17 | 2015 | 12 | |
| 18 | 2023 | 11 | |
| 19 | 2016 | 11 | |
| 20 | 2013 | 11 |
About Mingyang Pan
Mingyang Pan is a scholar working on Ocean Engineering, Artificial Intelligence, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Biomedical Engineering, having authored 67 papers that have together received 751 indexed citations. Recurring topics across this work include Maritime Navigation and Safety (16 papers), Advanced Neural Network Applications (7 papers), Plasmonic and Surface Plasmon Research (6 papers), Natural Language Processing Techniques (4 papers), Nanofluid Flow and Heat Transfer (4 papers), Topic Modeling (4 papers), Traffic Prediction and Management Techniques (4 papers) and Neural Networks and Reservoir Computing (4 papers). The work is most often cited by research in Modeling and Simulation (64 citations), Environmental Engineering (111 citations), Ocean Engineering (111 citations), Water Science and Technology (81 citations) and Computer Vision and Pattern Recognition (122 citations). Mingyang Pan has collaborated with scholars based in China, Taiwan and Australia. Frequent co-authors include Shaoxi Li, Chi‐Hua Chen, Jiayi Cao, Fawang Liu, Liancun Zheng, Pei‐Kuen Wei, Zongying Liu, Xinxin Zhang, Yiyang Zou and Xuehui Chen. Their work appears in journals such as Ocean Engineering, Applied Mathematical Modelling, Computational Intelligence and Neuroscience, IEEE Access and Journal of Advanced Transportation.
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.