Qing‐Xiang Pei

7.3k total citations
139 papers, 6.1k citations indexed

About

Qing‐Xiang Pei is a scholar working on Materials Chemistry, Mechanical Engineering and Mechanics of Materials. According to data from OpenAlex, Qing‐Xiang Pei has authored 139 papers receiving a total of 6.1k indexed citations (citations by other indexed papers that have themselves been cited), including 97 papers in Materials Chemistry, 44 papers in Mechanical Engineering and 22 papers in Mechanics of Materials. Recurrent topics in Qing‐Xiang Pei's work include Graphene research and applications (52 papers), Thermal properties of materials (37 papers) and 2D Materials and Applications (18 papers). Qing‐Xiang Pei is often cited by papers focused on Graphene research and applications (52 papers), Thermal properties of materials (37 papers) and 2D Materials and Applications (18 papers). Qing‐Xiang Pei collaborates with scholars based in Singapore, China and United States. Qing‐Xiang Pei's co-authors include Yong‐Wei Zhang, Zhen-Dong Sha, Yingyan Zhang, Vivek B. Shenoy, C.M. Wang, Chao Lu, Jin-Wu Jiang, Zhiwei Ding, Zishun Liu and Guglielmo Vastola and has published in prestigious journals such as The Journal of Chemical Physics, Applied Physics Letters and Journal of Applied Physics.

In The Last Decade

Qing‐Xiang Pei

136 papers receiving 6.0k citations

Peers

Qing‐Xiang Pei

AMPO

Ying Yang United States

Baiyun Huang China

Manuel Belmonte Spain

Haruyuki Inui Japan

Katerina Moloni United States

Ke Jin China

Naresh Thadhani United States

Xin Qian China

Tatsuhiko Aizawa Japan

W. R. Tyson Canada

Ying Yang United States

Qing‐Xiang Pei

2.7k ×0.6

4.3k ×2.3

591 ×0.6

495 ×0.6

261 ×0.4

AMPO

Citations per year, relative to Qing‐Xiang Pei Qing‐Xiang Pei (= 1×) peers Ying Yang

Countries citing papers authored by Qing‐Xiang Pei

Since Specialization

Citations

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

Fields of papers citing papers by Qing‐Xiang Pei

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Qing‐Xiang Pei. 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 Qing‐Xiang Pei. The network helps show where Qing‐Xiang Pei may publish in the future.

Co-authorship network of co-authors of Qing‐Xiang Pei

This figure shows the co-authorship network connecting the top 25 collaborators of Qing‐Xiang Pei. A scholar is included among the top collaborators of Qing‐Xiang Pei 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 Qing‐Xiang Pei. Qing‐Xiang Pei is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Duan, Hong, Fengxia Zhang, Yifan Lu, et al.. (2025). Salvianolic acid A inhibits PRRSV replication via binding to Keap1 to activate the MKRN1–Nrf2–NQO1 pathway. Veterinary Research. 56(1). 182–182.

Pei, Qing‐Xiang, et al.. (2025). Uncertainty quantification for the 3D half-space sound scattering problem of IGABEM based on the Catmull–Clark subdivision surfaces. Engineering Analysis with Boundary Elements. 176. 106222–106222. 2 indexed citations

Chen, Leilei, et al.. (2025). Deep-neural-network-based framework for the accelerating uncertainty quantification of a structural–acoustic fully coupled system in a shallow sea. Engineering Analysis with Boundary Elements. 171. 106112–106112. 10 indexed citations

Chen, Leilei, et al.. (2024). FEM-BEM analysis of acoustic interaction with submerged thin-shell structures under seabed reflection conditions. Ocean Engineering. 309. 118554–118554. 24 indexed citations

Pei, Qing‐Xiang, et al.. (2024). Efficient rare event sampling with unsupervised normalizing flows. Nature Machine Intelligence. 6(11). 1370–1381. 2 indexed citations

Li, Wanghui, Meizhen Xiang, Zachary H. Aitken, et al.. (2024). Unraveling the Hall-Petch to inverse Hall-Petch transition in nanocrystalline high entropy alloys under shock loading. International Journal of Plasticity. 178. 104010–104010. 31 indexed citations

Araújo, N. A. M., Benjamin J. Walker, Duncan R. Hewitt, et al.. (2024). Optimal face-to-face coupling for fast self-folding kirigami. Soft Matter. 20(5). 1114–1119. 1 indexed citations

Qin, Huasong, Qing‐Xiang Pei, Ziqiu Wang, et al.. (2023). Exploring and Understanding the Multiscale Mechanical Degradation in Graphene Assemblies via Practical Microstructure Guided Modeling. Advanced Functional Materials. 33(40). 10 indexed citations

Chen, Shuai, Qing‐Xiang Pei, Zhi Gen Yu, et al.. (2023). Ideal plasticity and shape memory of nanolamellar high-entropy alloys. Science Advances. 9(41). eadi5817–eadi5817. 16 indexed citations

10.

Qi, Ji, Zachary H. Aitken, Qing‐Xiang Pei, et al.. (2023). Machine learning moment tensor potential for modeling dislocation and fracture in L10−TiAl and D019−Ti3Al alloys. Physical Review Materials. 7(10). 9 indexed citations

11.

Chen, Shuai, et al.. (2023). Simultaneously enhancing the tensile strength and ductility of high entropy alloys by nanoscale precipitates/fillers. APL Materials. 11(10). 5 indexed citations

12.

Liu, Ping, Qing‐Xiang Pei, & Yong‐Wei Zhang. (2022). Low-cycle fatigue failure of MoS 2 monolayer. Extreme Mechanics Letters. 58. 101942–101942. 6 indexed citations

13.

Pei, Qing‐Xiang, Junyan Guo, Ady Suwardi, & Gang Zhang. (2022). Insights into interfacial thermal conductance in Bi2Te3-based systems for thermoelectrics. Materials Today Physics. 30. 100953–100953. 15 indexed citations

14.

Liu, Ping, Qing‐Xiang Pei, & Yong‐Wei Zhang. (2022). Failure modes and mechanisms of layered h-BN under local energy injection. Scientific Reports. 12(1). 11860–11860. 1 indexed citations

15.

Sorkin, V., Qing‐Xiang Pei, P. Liu, et al.. (2021). Atomistic-scale analysis of the deformation and failure of polypropylene composites reinforced by functionalized silica nanoparticles. Scientific Reports. 11(1). 23108–23108. 9 indexed citations

16.

Chen, Yan, Huasong Qin, Juzheng Song, et al.. (2020). Exploring the structure–property relationship of three-dimensional hexagonal boron nitride aerogels with gyroid surfaces. Nanoscale. 12(18). 10180–10188. 9 indexed citations

17.

Qin, Huasong, Qing‐Xiang Pei, Yilun Liu, & Yong‐Wei Zhang. (2019). The mechanical and thermal properties of MoS₂–WSe₂ lateral heterostructures. Physical Chemistry Chemical Physics. 21(28). 15845–15853. 40 indexed citations

18.

Zhang, Yingyan, et al.. (2015). Thermal conductivities of single- and multi-layer phosphorene: a molecular dynamics study. Nanoscale. 8(1). 483–491. 155 indexed citations

19.

Vastola, Guglielmo, G. Zhang, Qing‐Xiang Pei, & Yong‐Wei Zhang. (2014). Modeling and control of remelting in high-energy beam additive manufacturing. Additive manufacturing. 7. 57–63. 34 indexed citations

20.

Sha, Zhen-Dong, Paulo S. Branı́cio, V. Sorkin, Qing‐Xiang Pei, & Yong‐Wei Zhang. (2011). Effects of grain size and temperature on mechanical and failure properties of ultrananocrystalline diamond. Diamond and Related Materials. 20(10). 1303–1309. 32 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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