Penghua Ying

1.6k total citations · 1 hit paper
48 papers, 962 citations indexed

About

Penghua Ying is a scholar working on Materials Chemistry, Inorganic Chemistry and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Penghua Ying has authored 48 papers receiving a total of 962 indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Materials Chemistry, 9 papers in Inorganic Chemistry and 7 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Penghua Ying's work include Thermal properties of materials (20 papers), Machine Learning in Materials Science (19 papers) and Graphene research and applications (10 papers). Penghua Ying is often cited by papers focused on Thermal properties of materials (20 papers), Machine Learning in Materials Science (19 papers) and Graphene research and applications (10 papers). Penghua Ying collaborates with scholars based in China, Israel and Hong Kong. Penghua Ying's co-authors include Zheyong Fan, Zheng Zhong, Jin Zhang, Ting Liang, Haikuan Dong, Ke Xu, Yao Du, Yanjing Su, Jianbin Xu and Jianyang Wu and has published in prestigious journals such as The Journal of Chemical Physics, Nano Letters and ACS Nano.

In The Last Decade

Penghua Ying

45 papers receiving 944 citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

GPUMD: A package for constructing accurate machine-learned potentials and performing highly efficient atomistic simulations

2022 239 citations Zheyong Fan, Penghua Ying et al. The Journal of Chemical Physics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Penghua Ying China	16	822	164	103	96	95	48	962
Yann Magnin France	16	529 0.6×	106 0.6×	94 0.9×	78 0.8×	95 1.0×	26	698
Haipeng Li China	17	544 0.7×	133 0.8×	76 0.7×	78 0.8×	90 0.9×	70	802
Sumanta Mukherjee India	19	696 0.8×	266 1.6×	126 1.2×	166 1.7×	132 1.4×	59	993
Qi‐Jun Hong United States	17	928 1.1×	172 1.0×	405 3.9×	47 0.5×	108 1.1×	39	1.3k
Jamie J. Gengler United States	16	409 0.5×	124 0.8×	58 0.6×	21 0.2×	138 1.5×	31	636
Gregg Radtke United States	7	552 0.7×	75 0.5×	52 0.5×	37 0.4×	71 0.7×	10	742
B. Schulz Germany	13	617 0.8×	274 1.7×	140 1.4×	64 0.7×	57 0.6×	24	873
М. Р. Шарафутдинов Russia	14	441 0.5×	106 0.6×	248 2.4×	24 0.3×	40 0.4×	77	701
S. R. Kane India	11	292 0.4×	105 0.6×	57 0.6×	34 0.4×	53 0.6×	38	523
M. P. Wang China	11	419 0.5×	114 0.7×	78 0.8×	20 0.2×	109 1.1×	17	718

Countries citing papers authored by Penghua Ying

Since Specialization

Citations

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

Fields of papers citing papers by Penghua Ying

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Penghua Ying

This figure shows the co-authorship network connecting the top 25 collaborators of Penghua Ying. A scholar is included among the top collaborators of Penghua Ying 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 Penghua Ying. Penghua Ying 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

Li, Qing, Haikuan Dong, Penghua Ying, & Zheyong Fan. (2026). Anisotropic and isotropic elasticity and thermal transport in monolayer C24 networks from machine-learning molecular dynamics. International Journal of Heat and Mass Transfer. 260. 128505–128505.

Zhu, Linli, et al.. (2025). Developing a machine learning Ni-Co-Al ternary interatomic potential for temperature and strain-rate dependent mechanical behaviors of Ni-based single crystal superalloys. Materials & Design. 258. 114535–114535. 1 indexed citations

Wu, Xin, Wu Zhang, Ting Liang, et al.. (2025). Phonon coherence and minimum thermal conductivity in disordered superlattices. Physical review. B.. 111(8). 3 indexed citations

Ying, Penghua, Cheng Qian, Yanzhou Wang, et al.. (2025). Publisher's Note: “Advances in modeling complex materials: The rise of neuroevolution potentials” [Chem. Phys. Rev. 6, 011310 (2025)]. Chemical Physics Reviews. 6(1). 1 indexed citations

Ying, Penghua, Wenjiang Zhou, L.A. Svensson, et al.. (2025). Highly efficient path-integral molecular dynamics simulations with GPUMD using neuroevolution potentials: Case studies on thermal properties of materials. The Journal of Chemical Physics. 162(6). 12 indexed citations

Xu, Ke, Ting Liang, Nan Xu, et al.. (2025). NEP-MB-pol: a unified machine-learned framework for fast and accurate prediction of water’s thermodynamic and transport properties. npj Computational Materials. 11(1). 4 indexed citations

Ying, Penghua, Cheng Qian, Yanzhou Wang, et al.. (2025). Advances in modeling complex materials: The rise of neuroevolution potentials. Chemical Physics Reviews. 6(1). 13 indexed citations

Liang, Ting, Ke Xu, Penghua Ying, et al.. (2025). Probing the ideal limit of interfacial thermal conductance in two-dimensional van der Waals heterostructures. npj Computational Materials. 12(1).

Ying, Penghua, Xiang Gao, Amir Natan, Michael Urbakh, & Oded Hod. (2025). Chemifriction and Superlubricity: Friends or Foes?. The Journal of Physical Chemistry Letters. 16(11). 2934–2941. 3 indexed citations

10.

Dong, Haikuan, Penghua Ying, Ke Xu, et al.. (2024). Molecular dynamics simulations of heat transport using machine-learned potentials: A mini-review and tutorial on GPUMD with neuroevolution potentials. Journal of Applied Physics. 135(16). 50 indexed citations

11.

Fan, Zheyong, Yang Xiao, Yanzhou Wang, et al.. (2024). Combining linear-scaling quantum transport and machine-learning molecular dynamics to study thermal and electronic transports in complex materials. Journal of Physics Condensed Matter. 36(24). 245901–245901. 15 indexed citations

12.

Ying, Penghua, Oded Hod, & Michael Urbakh. (2024). Superlubric Graphullerene. Nano Letters. 24(34). 10599–10604. 8 indexed citations

13.

Ying, Penghua, et al.. (2024). Dissimilar thermal transport properties in κ-Ga2O3 and β-Ga2O3 revealed by homogeneous nonequilibrium molecular dynamics simulations using machine-learned potentials. Journal of Applied Physics. 135(6). 9 indexed citations

14.

Xu, Ke, Ting Liang, Penghua Ying, et al.. (2023). Accurate prediction of heat conductivity of water by a neuroevolution potential. The Journal of Chemical Physics. 158(20). 38 indexed citations

15.

Ying, Penghua & Zheyong Fan. (2023). Combining the D3 dispersion correction with the neuroevolution machine-learned potential. Journal of Physics Condensed Matter. 36(12). 125901–125901. 17 indexed citations

16.

Liang, Ting, Penghua Ying, Ke Xu, et al.. (2023). Mechanisms of temperature-dependent thermal transport in amorphous silica from machine-learning molecular dynamics. Physical review. B.. 108(18). 32 indexed citations

17.

Li, Jian, Penghua Ying, Ting Liang, et al.. (2023). Mechanical and thermal properties of graphyne-coated carbon nanotubes: a molecular dynamics simulation on one-dimensional all-carbon van der Waals heterostructures. Physical Chemistry Chemical Physics. 25(12). 8651–8663. 17 indexed citations

18.

Ying, Penghua, et al.. (2022). Tension-induced phase transformation and anomalous Poisson effect in violet phosphorene. Materials Today Physics. 27. 100755–100755. 5 indexed citations

19.

Zhou, Yan, Shi Zhou, Penghua Ying, et al.. (2022). Unusual Deformation and Fracture in Gallium Telluride Multilayers. The Journal of Physical Chemistry Letters. 13(17). 3831–3839. 12 indexed citations

20.

Ying, Penghua, Ting Liang, Ke Xu, et al.. (2022). Variable thermal transport in black, blue, and violet phosphorene from extensive atomistic simulations with a neuroevolution potential. International Journal of Heat and Mass Transfer. 202. 123681–123681. 9 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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