Shaowu Pan
Impact in
- Polymers and Plastics top 1%
- Conducting polymers and applications
- Biomedical Engineering top 0.5%
- Advanced Sensor and Energy Harvesting Materials
Papers in
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- Model Reduction and Neural Networks 11
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- Conducting polymers and applications 11
Shaowu Pan
81 papers receiving 5.2k citations
Hit Papers
Peers
Comparison fields: 5 of 143
- Polymers and Plastics 1.3k
- Biomedical Engineering 2.5k
- Electronic, Optical and Magnetic Materials 1.0k
- Statistical and Nonlinear Physics 584
- Cognitive Neuroscience 642
Countries citing papers authored by Shaowu Pan
This map shows the geographic impact of Shaowu 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 Shaowu Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaowu Pan more than expected).
Fields of papers citing papers by Shaowu Pan
This network shows the impact of papers produced by Shaowu 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 Shaowu Pan. The network helps show where Shaowu Pan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shaowu 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 2 | |
| 4 | 2024 | 7 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 12 | |
| 8 | 2024 | 0 | |
| 9 | 2022 | 5 | |
| 10 | 2021 | 25 | |
| 11 | 2021 | 39 | |
| 12 | 2020 | 94 | |
| 13 | Surrogate modeling for fluid flows based on physics-constrained deep learning without simulation data Hit paper breakdown → | 2019 | 634 |
| 14 | 2018 | 54 | |
| 15 | 2017 | 50 | |
| 16 | 2017 | 40 | |
| 17 | 2015 | 73 | |
| 18 | 2014 | 8 | |
| 19 | 2014 | 58 | |
| 20 | 2010 | 15 |
About Shaowu Pan
Shaowu Pan is a scholar working on Statistical and Nonlinear Physics, Polymers and Plastics, Statistics, Probability and Uncertainty, Ocean Engineering and Electronic, Optical and Magnetic Materials, having authored 85 papers that have together received 5.3k indexed citations. Recurring topics across this work include Advanced Sensor and Energy Harvesting Materials (15 papers), Model Reduction and Neural Networks (11 papers), Conducting polymers and applications (11 papers), Underwater Vehicles and Communication Systems (10 papers), Fluid Dynamics and Turbulent Flows (8 papers), Supercapacitor Materials and Fabrication (8 papers), TiO2 Photocatalysis and Solar Cells (7 papers) and Modular Robots and Swarm Intelligence (7 papers). The work is most often cited by research in Polymers and Plastics (1.3k citations), Biomedical Engineering (2.5k citations), Electronic, Optical and Magnetic Materials (1.0k citations), Statistical and Nonlinear Physics (584 citations) and Cognitive Neuroscience (642 citations). Shaowu Pan has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Huisheng Peng, Xiaodong Chen, Han Gao, Jianxun Wang, Luning Sun, Jue Deng, Ming Wang, Zhibin Yang, Changjin Wan and Liang Pan. Their work appears in journals such as Advanced Materials, Advanced Fiber Materials, Advanced Energy Materials, Angewandte Chemie International Edition and Journal of Fluid Mechanics.
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.