Ke Xu

3.7k total citations · 1 hit paper
120 papers, 2.7k citations indexed

About

Ke Xu is a scholar working on Materials Chemistry, Biomedical Engineering and Mechanics of Materials. According to data from OpenAlex, Ke Xu has authored 120 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Materials Chemistry, 20 papers in Biomedical Engineering and 17 papers in Mechanics of Materials. Recurrent topics in Ke Xu's work include Thermal properties of materials (18 papers), Machine Learning in Materials Science (14 papers) and Graphene research and applications (13 papers). Ke Xu is often cited by papers focused on Thermal properties of materials (18 papers), Machine Learning in Materials Science (14 papers) and Graphene research and applications (13 papers). Ke Xu collaborates with scholars based in China, Norway and United States. Ke Xu's co-authors include Jianyang Wu, Yuanjin Zhao, Weixia Zhang, Luoran Shang, Zhisen Zhang, Zheyong Fan, Penghua Ying, Jian‐Feng Chen, Ting Liang and Jie‐Xin Wang 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

Ke Xu

110 papers receiving 2.7k citations

Hit Papers

align trajectories

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
Ke Xu China	28	1.2k	479	413	372	258	120	2.7k
Marvin G. Warner United States	26	1.3k 1.1×	726 1.5×	400 1.0×	459 1.2×	227 0.9×	60	3.6k
Tingting Shen China	32	1.5k 1.3×	724 1.5×	643 1.6×	203 0.5×	219 0.8×	132	3.7k
Juncheng Liu China	27	1.5k 1.3×	1.1k 2.3×	965 2.3×	376 1.0×	121 0.5×	208	3.4k
Michele Ferrari Italy	34	1.4k 1.2×	682 1.4×	356 0.9×	178 0.5×	256 1.0×	100	3.7k
Klara Šafářová Czechia	23	1.7k 1.4×	795 1.7×	537 1.3×	161 0.4×	97 0.4×	32	2.8k
Qingbin Liu China	28	542 0.5×	538 1.1×	449 1.1×	261 0.7×	166 0.6×	126	2.9k
Siyuan Wang China	29	920 0.8×	547 1.1×	439 1.1×	461 1.2×	482 1.9×	151	2.7k
Zhiqiang Sun China	30	1.1k 0.9×	970 2.0×	695 1.7×	204 0.5×	83 0.3×	109	3.4k
Qingchun Zhang China	33	1.3k 1.1×	431 0.9×	1.6k 3.9×	145 0.4×	442 1.7×	192	3.8k

Countries citing papers authored by Ke Xu

Since Specialization

Citations

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

Fields of papers citing papers by Ke Xu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ke Xu

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

Liang, Ting, Ke Xu, H. Bu, et al.. (2025). PYSED: A tool for extracting kinetic-energy-weighted phonon dispersion and lifetime from molecular dynamics simulations. Journal of Applied Physics. 138(7). 5 indexed citations

Rahman, Md. Mahabubur, Akshay Krishnakumar, Ke Xu, et al.. (2025). Cold atmospheric plasma-assisted corrosion-resistant SiOx coating on temporary orthopedic fixation implants. Materials Chemistry and Physics. 348. 131672–131672.

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

Lu, Chenchen, Zhen Li, Xinxin Sang, et al.. (2025). Stress‐Driven Grain Boundary Structural Transition in Diamond by Machine Learning Potential. Small. 21(16). e2409092–e2409092. 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

Lv, Min, et al.. (2024). The C5AR1/TNFSF13B axis alleviates osteoarthritis by activating the PI3K/Akt/GSK3β/Nrf2/HO-1 pathway to inhibit ferroptosis. Experimental Cell Research. 441(2). 114195–114195. 3 indexed citations

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

Li, Lihua, et al.. (2024). Gallic acid-grafted chitosan photothermal hydrogels functionalized with mineralized copper-sericin nanoparticles for MRSA-infected wound management. Carbohydrate Polymers. 352. 123179–123179. 12 indexed citations

Wang, Yangyang, et al.. (2023). Lightweight Extendable Stacking Framework for Structure Classification in Atomistic Simulations. Journal of Chemical Theory and Computation. 19(22). 8332–8339. 2 indexed citations

10.

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

11.

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

12.

Xu, Yihua, Qiao Shi, Ke Xu, et al.. (2022). Machine learning assisted insights into the mechanical strength of nanocrystalline graphene oxide. 2D Materials. 9(3). 35002–35002. 20 indexed citations

13.

Li, Tong, Ke Xu, Lianxin Shi, et al.. (2022). Dual-ionic hydrogels with ultralong anti-dehydration lifespan and superior anti-icing performance. Applied Materials Today. 26. 101367–101367. 25 indexed citations

14.

Xu, Ke, Ting Liang, Meng Han, et al.. (2022). Efficient mechanical modulation of the phonon thermal conductivity of Mo₆S₆ nanowires. Nanoscale. 14(8). 3078–3086. 28 indexed citations

15.

Wang, Xingyu, Ke Xu, Xingbin Yang, et al.. (2022). Synergistic antitumor effects of polysaccharides and anthocyanins from Lycium ruthenicum Murr. on human colorectal carcinoma LoVo cells and the molecular mechanism. Food Science & Nutrition. 10(9). 2956–2968. 24 indexed citations

16.

Liang, Ting, Ke Xu, Meng Han, et al.. (2022). Abnormally high thermal conductivity in fivefold twinned diamond nanowires. Materials Today Physics. 25. 100705–100705. 19 indexed citations

17.

Li, Tong, Pablo F. Ibáñez-Ibáñez, Verner Håkonsen, et al.. (2020). Self-Deicing Electrolyte Hydrogel Surfaces with Pa-level Ice Adhesion and Durable Antifreezing/Antifrost Performance. ACS Applied Materials & Interfaces. 12(31). 35572–35578. 86 indexed citations

18.

Gong, Hao, et al.. (2020). Surface-topology-controlled mechanical characteristics of triply periodic carbon Schwarzite foams. Soft Matter. 16(17). 4324–4338. 13 indexed citations

19.

Xu, Ke, et al.. (2018). Wetting Properties of Defective Graphene Oxide: A Molecular Simulation Study. Molecules. 23(6). 1439–1439. 34 indexed citations

20.

Cai, Yongsong, Qiling Yuan, Ke Xu, et al.. (2016). Assessment of the Therapeutic Effect of Total Glucosides of Peony for Juvenile Idiopathic Arthritis: A Systematic Review and Meta‐Analysis. Evidence-based Complementary and Alternative Medicine. 2016(1). 8292486–8292486. 5 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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