Yinpeng Wang

450 total citations
29 papers, 300 citations indexed

About

Yinpeng Wang is a scholar working on Statistical and Nonlinear Physics, Biomedical Engineering and Aerospace Engineering. According to data from OpenAlex, Yinpeng Wang has authored 29 papers receiving a total of 300 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Statistical and Nonlinear Physics, 6 papers in Biomedical Engineering and 5 papers in Aerospace Engineering. Recurrent topics in Yinpeng Wang's work include Model Reduction and Neural Networks (7 papers), Metamaterials and Metasurfaces Applications (3 papers) and Heat Transfer and Optimization (2 papers). Yinpeng Wang is often cited by papers focused on Model Reduction and Neural Networks (7 papers), Metamaterials and Metasurfaces Applications (3 papers) and Heat Transfer and Optimization (2 papers). Yinpeng Wang collaborates with scholars based in China, Singapore and United States. Yinpeng Wang's co-authors include Qiang Ren, Yongzhong Li, Zuxing Chen, Cuifen Lu, Guichun Yang, Feiyi Wang, Junqi Nie, Chao Ma, Yi Ren and Xuan Wu and has published in prestigious journals such as International Journal of Heat and Mass Transfer, IEEE Access and Molecules.

In The Last Decade

Yinpeng Wang

23 papers receiving 296 citations

Peers

Yinpeng Wang
Zhao Yin China
Lili Song China
Douglas J. Miller United States
Shuyue Chen China
Bjarne Kreitz Germany
Jeffrey D. Ward Taiwan
Jehanzeb H. Chaudhry United States
Srinivas Rangarajan United States
Yuzhe Zhang China
Zhao Yin China
Yinpeng Wang
Citations per year, relative to Yinpeng Wang Yinpeng Wang (= 1×) peers Zhao Yin

Countries citing papers authored by Yinpeng Wang

Since Specialization
Citations

This map shows the geographic impact of Yinpeng 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 Yinpeng Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yinpeng Wang more than expected).

Fields of papers citing papers by Yinpeng Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yinpeng 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 Yinpeng Wang. The network helps show where Yinpeng Wang may publish in the future.

Co-authorship network of co-authors of Yinpeng Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Yinpeng Wang. A scholar is included among the top collaborators of Yinpeng Wang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yinpeng Wang. Yinpeng Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
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Dai, Qiqi, Yinpeng Wang, Cheng Xu, et al.. (2025). High‐Asymmetry Metasurface: A New Solution for Terahertz Resonance via Active Learning‐Augmented Diffusion Model. Advanced Science. 13(2). e08610–e08610.
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Wang, Yinpeng. (2024). Deep Multiphysics Fields Solver Established on Operator Learning Transformer and Finite Element Method. IEEE journal on multiscale and multiphysics computational techniques. 9. 341–352.
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Wang, Yinpeng, et al.. (2024). Deep learning based time-domain inversion for high-contrast scatterers. Journal of Electromagnetic Waves and Applications. 38(16). 1844–1867.
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Wang, Yinpeng, et al.. (2023). Synthesis of Aryl-methylene Ethers through Pd(0)-Catalyzed Coupling between Hydrobenzoxazoles and Dichloromethane. Organic Letters. 25(9). 1458–1463. 3 indexed citations
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Wang, Yinpeng, et al.. (2022). Catalyst-free synthesis of quinoline-enols through coupling between heterocyclic N-oxides and CF3-ynones under mild conditions. Organic Chemistry Frontiers. 9(22). 6200–6204. 5 indexed citations
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Wang, Yinpeng & Qiang Ren. (2022). A versatile inversion approach for space/temperature/time-related thermal conductivity via deep learning. International Journal of Heat and Mass Transfer. 186. 122444–122444. 18 indexed citations
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Wang, Yinpeng, Jianmei Zhou, Qiang Ren, Yaoyao Li, & Donglin Su. (2021). 3-D Steady Heat Conduction Solver via Deep Learning. IEEE journal on multiscale and multiphysics computational techniques. 6. 100–108. 18 indexed citations
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Ding, Yan, Dongxu Tian, Yan Li, et al.. (2021). Theoretical design and preparation research of molecularly imprinted polymers for steviol glycosides. Journal of Molecular Modeling. 27(9). 238–238. 7 indexed citations
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Wang, Yinpeng, et al.. (2021). Predicting Surface Heat Flux on Complex Systems Via Conv-LSTM. SSRN Electronic Journal. 1 indexed citations
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Li, Yongzhong, Yinpeng Wang, Qiang Ren, et al.. (2020). Predicting Scattering From Complex Nano-Structures via Deep Learning. IEEE Access. 8. 139983–139993. 37 indexed citations
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Wang, Yinpeng, et al.. (2020). Coupled model and flow characteristics of thermoacoustic refrigerators. Engineering Research Express. 2(2). 25016–25016. 1 indexed citations
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Wang, Yinpeng, et al.. (2020). Two-Dimensional Electromagnetic Solver Based on Deep Learning Technique. IEEE journal on multiscale and multiphysics computational techniques. 5. 83–88. 56 indexed citations
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Ganti, Apar Kishor, Xiaofei Wang, Thomas E. Stinchcombe, et al.. (2019). Clinical prognostic model for older patients with advanced non-small cell lung cancer. Journal of Geriatric Oncology. 10(4). 555–559. 8 indexed citations

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.

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