Wei Shen

3.7k total citations
134 papers, 3.0k citations indexed

About

Wei Shen is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Mechanics of Materials. According to data from OpenAlex, Wei Shen has authored 134 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 82 papers in Materials Chemistry, 49 papers in Electrical and Electronic Engineering and 19 papers in Mechanics of Materials. Recurrent topics in Wei Shen's work include Diamond and Carbon-based Materials Research (21 papers), Electronic and Structural Properties of Oxides (17 papers) and ZnO doping and properties (15 papers). Wei Shen is often cited by papers focused on Diamond and Carbon-based Materials Research (21 papers), Electronic and Structural Properties of Oxides (17 papers) and ZnO doping and properties (15 papers). Wei Shen collaborates with scholars based in China, United Kingdom and United States. Wei Shen's co-authors include Hongping He, Jianxi Zhu, Peng Yuan, Ray L. Frost, Hailei Zhao, Peng Yuan, Junhao Chu, Xiang Lü, Zhiming Zhu and Mingtai Wang and has published in prestigious journals such as Journal of the American Chemical Society, Advanced Materials and Nano Letters.

In The Last Decade

Wei Shen

117 papers receiving 2.9k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Wei Shen China 31 1.8k 833 418 415 385 134 3.0k
Hirohisa Yamada Japan 32 2.0k 1.1× 802 1.0× 450 1.1× 261 0.6× 369 1.0× 152 3.7k
Songqing Hu China 34 2.4k 1.3× 826 1.0× 182 0.4× 349 0.8× 554 1.4× 148 4.2k
Yi He China 30 2.1k 1.2× 1.1k 1.4× 391 0.9× 577 1.4× 282 0.7× 167 4.0k
P. Herrasti Spain 33 1.4k 0.8× 1.1k 1.3× 285 0.7× 332 0.8× 372 1.0× 125 3.3k
Song He China 41 2.0k 1.1× 454 0.5× 433 1.0× 435 1.0× 497 1.3× 149 5.5k
Kun Luo China 29 2.3k 1.3× 533 0.6× 271 0.6× 187 0.5× 221 0.6× 171 3.6k
A. Ayral France 37 3.0k 1.7× 662 0.8× 240 0.6× 558 1.3× 355 0.9× 177 4.7k
Nidia C. Gallego United States 32 1.7k 1.0× 515 0.6× 382 0.9× 97 0.2× 555 1.4× 114 3.5k
J. M. Sasaki Brazil 29 2.2k 1.2× 1.1k 1.3× 212 0.5× 156 0.4× 774 2.0× 127 3.5k
Jie Lei China 27 1.4k 0.8× 1.3k 1.5× 227 0.5× 120 0.3× 241 0.6× 124 3.5k

Countries citing papers authored by Wei Shen

Since Specialization
Citations

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

Fields of papers citing papers by Wei Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wei Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Wei Shen. A scholar is included among the top collaborators of Wei Shen 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 Wei Shen. Wei Shen 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
1.
Dong, Fang, Gai Wu, Wei Shen, et al.. (2025). A study on the mechanical properties of polycrystalline aluminum nitride based on molecular dynamics simulation. Materials Today Nano. 29. 100581–100581.
2.
Li, Rui, Gai Wu, Wei Shen, et al.. (2025). Effects of polycrystalline AlN layer on the crystalline quality of AlxGa1-xN buffer layer and optimization of growth processes: A molecular dynamics study. Materials Science in Semiconductor Processing. 188. 109263–109263.
3.
Li, Rui, Xiang Sun, Qijun Wang, et al.. (2025). A comprehensive exploration of thermal transport at Cu/diamond interfaces via machine learning potentials. npj Computational Materials. 11(1).
4.
Zhang, Kefeng, Wei Shen, Zhongliang Su, et al.. (2024). Engineering self-healing cellulose-reinforced organohydrogel electrolytes for flexible foldable capacitors with low temperature adaptability. Industrial Crops and Products. 216. 118692–118692. 6 indexed citations
5.
Li, Song, Wei Shen, & Jin Min Yang. (2024). Can Bell inequalities be tested via scattering cross-section at colliders ?. The European Physical Journal C. 84(11). 5 indexed citations
6.
7.
Wang, Hua, Yunchuan Tu, Sijun Li, et al.. (2024). Positive feedback of intermediates promotes efficient electrocatalytic C-N coupling at AuPd/SnOx interfaces. Applied Catalysis B: Environmental. 358. 124355–124355. 3 indexed citations
8.
Sun, Chao, Gai Wu, Lijie Li, et al.. (2024). Investigation of Heat Dissipation and Electrical Properties of Diamond Interposer for 2.5-D Packagings. IEEE Transactions on Components Packaging and Manufacturing Technology. 14(9). 1601–1609. 2 indexed citations
9.
Sun, Xiang, Erqi Xu, Qijun Wang, et al.. (2024). Atomic and electronic properties of the metal/diamond (100) interfaces by first-principles calculations. Surfaces and Interfaces. 52. 104916–104916. 2 indexed citations
10.
Sun, Xiang, Gai Wu, Wei Shen, et al.. (2024). Theoretical Insight into the Band Alignment at High-κ Oxide XO2/Diamond (X = Hf and Zr) Interfaces with a SiO2 Interlayer for MOS Devices. ACS Applied Materials & Interfaces. 16(19). 25581–25588. 1 indexed citations
11.
Zhang, Dongliang, Kang Liang, Rui Li, et al.. (2024). Interfacial Optimization for AlN/Diamond Heterostructures via Machine Learning Potential Molecular Dynamics Investigation of the Mechanical Properties. ACS Applied Materials & Interfaces. 16(21). 27998–28007. 13 indexed citations
12.
Shen, Wei, Xiang Sun, Lijie Li, et al.. (2023). AlN/diamond interface nanoengineering for reducing thermal boundary resistance by molecular dynamics simulations. Applied Surface Science. 615. 156419–156419. 28 indexed citations
13.
14.
Shen, Shengnan, Lijie Li, Qijun Wang, et al.. (2023). Influence of phosphorus donor on the NV center in diamond: A first-principles study. Physica B Condensed Matter. 676. 415614–415614. 5 indexed citations
15.
Wang, Wenjie, Rong Sun, Wei Shen, et al.. (2023). Atomic structure and large magnetic anisotropy in air-sensitive layered ferromagnetic VI3. Nanoscale. 15(9). 4628–4635. 2 indexed citations
16.
Li, Lijie, et al.. (2022). High optical storage density using three-dimensional hybrid nanostructures based on machine learning. Optics and Lasers in Engineering. 161. 107347–107347. 7 indexed citations
17.
Wang, Chunhui, Shuangshuang Zhao, Wei Shen, et al.. (2022). Preferential growth of HT-LiCo1-xAlxO2 cathode micro-bricks via an intermediate-facilitated solid-solid-gas reaction. Journal of Power Sources. 542. 231700–231700. 5 indexed citations
18.
Wang, Fuxiang, et al.. (2022). Fault-Tolerant Control Based on Modified eXogenous Kalman Filter for PMSM. Journal of Electrical Engineering and Technology. 18(2). 1313–1323. 3 indexed citations
19.
Zhu, Rui, Wen Zhang, Wei Shen, et al.. (2020). Exchange Bias in van der Waals CrCl3/Fe3GeTe2 Heterostructures. Nano Letters. 20(7). 5030–5035. 99 indexed citations
20.
Shen, Wei, Mingming Tian, Qian Chen, et al.. (2020). Spin Dynamic Damping of Py Induced by Gd Capping. IEEE Transactions on Magnetics. 57(2). 1–4. 4 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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