Xijun Hua

764 total citations
55 papers, 601 citations indexed

About

Xijun Hua is a scholar working on Mechanical Engineering, Mechanics of Materials and Computational Mechanics. According to data from OpenAlex, Xijun Hua has authored 55 papers receiving a total of 601 indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Mechanical Engineering, 33 papers in Mechanics of Materials and 9 papers in Computational Mechanics. Recurrent topics in Xijun Hua's work include Tribology and Lubrication Engineering (28 papers), Lubricants and Their Additives (22 papers) and Adhesion, Friction, and Surface Interactions (20 papers). Xijun Hua is often cited by papers focused on Tribology and Lubrication Engineering (28 papers), Lubricants and Their Additives (22 papers) and Adhesion, Friction, and Surface Interactions (20 papers). Xijun Hua collaborates with scholars based in China, Ghana and Hong Kong. Xijun Hua's co-authors include Yonghong Fu, Bifeng Yin, Peiyun Zhang, Jinghu Ji, Yanhu Zhang, Hekun Jia, Hao Fu, Hongyu Liang, Yongfeng Bu and Hanqing Ge and has published in prestigious journals such as Advanced Functional Materials, Journal of Power Sources and Chemical Engineering Journal.

In The Last Decade

Xijun Hua

53 papers receiving 579 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xijun Hua China 15 464 360 83 53 51 55 601
Saleh Akbarzadeh Iran 20 899 1.9× 784 2.2× 157 1.9× 65 1.2× 45 0.9× 61 1.1k
Kai Yao China 12 547 1.2× 133 0.4× 56 0.7× 62 1.2× 74 1.5× 19 781
Kyung-Woong Kim South Korea 17 671 1.4× 382 1.1× 144 1.7× 135 2.5× 71 1.4× 68 862
Aurélien Saulot France 16 455 1.0× 533 1.5× 247 3.0× 28 0.5× 45 0.9× 53 720
Rong-Tsong Lee Taiwan 18 666 1.4× 371 1.0× 55 0.7× 156 2.9× 128 2.5× 48 758
A.S. Miranda Portugal 15 544 1.2× 359 1.0× 195 2.3× 31 0.6× 54 1.1× 46 739
Shiqing Huang China 11 235 0.5× 140 0.4× 40 0.5× 70 1.3× 22 0.4× 28 370
Quandai Wang China 12 290 0.6× 139 0.4× 85 1.0× 147 2.8× 155 3.0× 42 486
Ichiro Shiota Japan 10 205 0.4× 305 0.8× 240 2.9× 73 1.4× 85 1.7× 68 647

Countries citing papers authored by Xijun Hua

Since Specialization
Citations

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

Fields of papers citing papers by Xijun Hua

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xijun Hua

This figure shows the co-authorship network connecting the top 25 collaborators of Xijun Hua. A scholar is included among the top collaborators of Xijun Hua 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 Xijun Hua. Xijun Hua 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.
Liang, Hongyu, Chao Xia, Qilin Yang, et al.. (2025). Differentiation of H-bonding induced by competition with airborne H2O for macroscopic superlubricity of deep eutectic solvents under high loads. Applied Surface Science. 700. 163186–163186.
2.
Chen, Zhihao, Bao Liu, Hao Fu, et al.. (2023). Meshing frictional characteristics of spur gears under dry friction and heavy loads: Effects of the preset pitting-like micro-textures array. Tribology International. 180. 108296–108296. 14 indexed citations
3.
Zhang, Yanhu, Hao Fu, Xiankai Meng, et al.. (2023). Laser-induced microtextured stators coupling with flexible rotors for low-voltage driving rotational piezoelectric motors. Chemical Engineering Journal. 467. 143361–143361. 5 indexed citations
4.
Dai, Fengze, et al.. (2023). Study of laser surface texturing on the adhesion properties of SHF-2D epoxy zinc paint. International Journal of Adhesion and Adhesives. 128. 103517–103517. 3 indexed citations
5.
Zheng, Yi, Yanhu Zhang, Zhihao Chen, et al.. (2023). Hierarchical microtextures generated by pulsed-laser manufacturing for surface geometry modulation. Journal of Manufacturing Processes. 97. 148–158. 6 indexed citations
6.
Dong, Hongyu, Suxia Yan, Zheng Yang, et al.. (2023). Chelating dicarboxylic acid as a multi-functional electrolyte additive for advanced Zn anode in aqueous Zn-ion batteries. Journal of Power Sources. 585. 233593–233593. 27 indexed citations
7.
Yin, Bifeng, et al.. (2022). Effects of liner surface textures on the tribological performance of different production piston rings. Lubrication Science. 34(5). 356–368. 10 indexed citations
8.
Hua, Xijun, et al.. (2022). Numerical simulation and experiment on morphology control of grooves processed by a picosecond laser on TC11 titanium alloy. Laser Physics. 33(1). 16001–16001. 1 indexed citations
9.
Liang, Hongyu, Xinjie Chen, Yongfeng Bu, et al.. (2022). Macroscopic superlubricity of potassium hydroxide solution achieved by incorporating in-situ released graphene from friction pairs. Friction. 11(4). 567–579. 13 indexed citations
10.
Hua, Xijun, et al.. (2020). Research on Solid Lubrication Properties of Micro-textured GCr15 Steel. 45(9). 12–17. 2 indexed citations
11.
Hua, Xijun, et al.. (2020). Tribological Behavior and Abrasion Resistance Mechanism of Laser Micro-Bulge Texturing Surface under Full Oil Lubrication. Tribology Transactions. 63(4). 726–735. 18 indexed citations
12.
Wang, Hao, et al.. (2020). Analysis of the lubrication process with composition of solid lubricants of laser-modified sliding surfaces. Advances in Mechanical Engineering. 12(4). 2072260695–2072260695. 4 indexed citations
13.
Zhu, Dongpo, et al.. (2020). Numerical Study on the Evolution Mechanism of the Crater under a Millisecond Laser. Applied Sciences. 10(24). 9054–9054. 5 indexed citations
14.
Fu, Hao, et al.. (2018). Influence of short grooves on hydrodynamic lubrication of textured infinitely long sliders. Advances in Mechanical Engineering. 10(2). 6 indexed citations
15.
Yin, Bifeng, et al.. (2017). Effects of the array modes of laser-textured micro-dimples on the tribological performance of cylinder liner–piston ring. Proceedings of the Institution of Mechanical Engineers Part J Journal of Engineering Tribology. 232(7). 871–881. 24 indexed citations
16.
Hua, Xijun, et al.. (2017). Experimental Analysis of Grease Friction Properties on Sliding Textured Surfaces. Lubricants. 5(4). 42–42. 16 indexed citations
17.
Ye, Yunxia, et al.. (2014). Laser shock microforming of aluminum foil with fs laser. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9295. 92950Y–92950Y. 2 indexed citations
18.
Hua, Xijun. (2009). Numerical Analysis on the Lubrication Performance of Piston Ring by Surface Micro-Texturing. Transactions of Csice. 4 indexed citations
19.
Hua, Xijun, et al.. (2005). Stereo Correspondence Using Color Based on Competitive-cooperative Neural Networks. 856–860. 7 indexed citations
20.
Hua, Xijun, et al.. (2002). Stereo Vision for Monochromatic Surface Recognition Based on Competitive and Cooperative Network. 제어로봇시스템학회 국제학술대회 논문집. 259–263. 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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