Tongguang Wang
- Neurology top 0.5%
- Neuroinflammation and Neurodegeneration Mechanisms 16
- Biological Psychiatry top 2%
- Aerospace Engineering top 0.5%
- Wind Energy Research and Development 86
- Aerodynamics and Fluid Dynamics Research 25
- Turbomachinery Performance and Optimization 9
- Icing and De-icing Technologies 8
- Neurology top 1%
- Neuroinflammation and Neurodegeneration Mechanisms 16
- Computational Mechanics top 1%
- Fluid Dynamics and Vibration Analysis 57
- Fluid Dynamics and Turbulent Flows 27
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- Wind and Air Flow Studies 57
Tongguang Wang
152 papers receiving 5.0k citations
Hit Papers
Peers
Comparison fields: 5 of 164
- Neurology 1.4k
- Biological Psychiatry 162
- Aerospace Engineering 1.6k
- Neurology 887
- Computational Mechanics 976
Countries citing papers authored by Tongguang Wang
This map shows the geographic impact of Tongguang Wang'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 Tongguang Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tongguang Wang more than expected).
Fields of papers citing papers by Tongguang Wang
This network shows the impact of papers produced by Tongguang Wang. 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 Tongguang Wang. The network helps show where Tongguang Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tongguang Wang, 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 | 15 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 3 | |
| 4 | 2024 | 11 | |
| 5 | 2024 | 13 | |
| 6 | 2024 | 4 | |
| 7 | 2023 | 15 | |
| 8 | 2023 | 5 | |
| 9 | 2023 | 15 | |
| 10 | 2023 | 2 | |
| 11 | 2023 | 15 | |
| 12 | 2022 | 3 | |
| 13 | 2021 | 5 | |
| 14 | 2020 | 6 | |
| 15 | 2018 | 34 | |
| 16 | Application of bamboo laminates in large-scale wind turbine blade design | 2016 | 2 |
| 17 | Analysis on the Performance of Vortex Generators of Wind Turbine Based on Transition Model | 2016 | 2 |
| 18 | 2013 | 1 | |
| 19 | Solver of three-dimensional Navier-Stokes equations based on the fully implicit unfactored algorithm | 2009 | 0 |
| 20 | Prediction of the unsteady aerodynamic characteristics of wind turbine blades with 3-D rotational effects | 2008 | 1 |
About Tongguang Wang
Tongguang Wang is a scholar working on Aerospace Engineering, Environmental Engineering and Computational Mechanics, having authored 157 papers that have together received 5.2k indexed citations. Recurring topics across this work include Wind Energy Research and Development (86 papers), Fluid Dynamics and Vibration Analysis (57 papers), Wind and Air Flow Studies (57 papers), Fluid Dynamics and Turbulent Flows (27 papers), Aerodynamics and Fluid Dynamics Research (25 papers), Neuroinflammation and Neurodegeneration Mechanisms (16 papers), Turbomachinery Performance and Optimization (9 papers) and Icing and De-icing Technologies (8 papers). The work is most often cited by research in Neurology (1.4k citations), Biological Psychiatry (162 citations) and Aerospace Engineering (1.6k citations). Tongguang Wang has collaborated with scholars based in China, United States and Denmark. Frequent co-authors include Jau‐Shyong Hong, Belinda Wilson, Michelle L. Block, Bin Liu, Liya Qin, Wanqin Zhang, Zhong Pei, Jing Zhang, Wei Zhang and David S. Miller. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Neuron.
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.