Guo Xiang

1.8k total citations · 4 hit papers
56 papers, 1.3k citations indexed

About

Guo Xiang is a scholar working on Mechanical Engineering, Mechanics of Materials and Control and Systems Engineering. According to data from OpenAlex, Guo Xiang has authored 56 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Mechanical Engineering, 33 papers in Mechanics of Materials and 5 papers in Control and Systems Engineering. Recurrent topics in Guo Xiang's work include Tribology and Lubrication Engineering (43 papers), Gear and Bearing Dynamics Analysis (35 papers) and Tribology and Wear Analysis (21 papers). Guo Xiang is often cited by papers focused on Tribology and Lubrication Engineering (43 papers), Gear and Bearing Dynamics Analysis (35 papers) and Tribology and Wear Analysis (21 papers). Guo Xiang collaborates with scholars based in China, Israel and France. Guo Xiang's co-authors include Jiaxu Wang, Yanfeng Han, Tianyou Yang, Jianlin Cai, Ke Xiao, Juan Guo, Shouan Chen, Junyang Li, Michel Fillon and Yijia Wang and has published in prestigious journals such as Mechanical Systems and Signal Processing, Journal of Applied Polymer Science and Wear.

In The Last Decade

Guo Xiang

53 papers receiving 1.3k citations

Hit Papers

On the nonlinear time-varying mixed lubrication for coupl... 2024 2026 2025 2024 2024 2025 2025 10 20 30 40 50

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guo Xiang China 22 1.2k 576 127 58 49 56 1.3k
Arto Lehtovaara Finland 19 813 0.7× 647 1.1× 112 0.9× 53 0.9× 115 2.3× 67 989
Bernd Sauer Germany 16 779 0.7× 452 0.8× 135 1.1× 59 1.0× 87 1.8× 84 941
Thomas Lohner Germany 20 1.1k 0.9× 471 0.8× 66 0.5× 26 0.4× 152 3.1× 95 1.2k
Xincong Zhou China 17 552 0.5× 445 0.8× 64 0.5× 38 0.7× 85 1.7× 70 737
Kevin C. Radil United States 13 802 0.7× 267 0.5× 112 0.9× 32 0.6× 41 0.8× 28 851
Klaus Michaelis Germany 19 1.0k 0.8× 484 0.8× 71 0.6× 34 0.6× 187 3.8× 66 1.1k
Francisco J. Profito Brazil 18 1.3k 1.1× 908 1.6× 27 0.2× 68 1.2× 138 2.8× 41 1.4k
Aurelian Fatu France 14 671 0.6× 343 0.6× 27 0.2× 59 1.0× 18 0.4× 46 760
R. W. Snidle United Kingdom 27 1.9k 1.6× 1.5k 2.6× 87 0.7× 66 1.1× 201 4.1× 82 2.1k
Alan HASE Japan 15 531 0.4× 357 0.6× 63 0.5× 87 1.5× 122 2.5× 41 690

Countries citing papers authored by Guo Xiang

Since Specialization
Citations

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

Fields of papers citing papers by Guo Xiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guo Xiang

This figure shows the co-authorship network connecting the top 25 collaborators of Guo Xiang. A scholar is included among the top collaborators of Guo Xiang 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 Guo Xiang. Guo Xiang 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.
Yuan, Feifei, Ke Xiao, Linjun Li, et al.. (2025). Modification and optimization of spatial tooth profile for harmonic drive considering machining fillet feature in the hobbing process. Precision Engineering. 96. 418–433. 1 indexed citations
2.
Xiao, Ke, et al.. (2025). Study on mixed thermal-visco-hyerelastic hydrodynamic lubrication performance of water-lubricated rubber bearings in deep-sea environment. Tribology International. 209. 110713–110713. 19 indexed citations breakdown →
3.
Han, Yanfeng, et al.. (2025). Coupled hydrodynamic lubrication and unbalanced magnetic force analysis in water-lubricated bearings for rim-driven thrusters. Physics of Fluids. 37(5). 19 indexed citations breakdown →
4.
Xiang, Guo, et al.. (2025). Coupled nonlinear dynamics and mixed thermal-visco-hyperelastic hydrodynamic lubrication in water-lubricated rubber bearings. Tribology International. 214. 111246–111246. 1 indexed citations
5.
Xiang, Guo, Roman Goltsberg, & I. Etsion. (2024). Role of intermolecular potential in adhesive wear behaviors for elastic-plastic spherical microcontacts. Tribology International. 199. 110054–110054. 21 indexed citations
6.
Yang, Tianyou, et al.. (2024). Effects of rotating microgroove on tribo-dynamic performance of coupled bearings. International Journal of Mechanical Sciences. 279. 109629–109629. 16 indexed citations
7.
Xiang, Guo, et al.. (2024). A mixed visco-hyperelastic hydrodynamic lubrication model for water-lubricated rubber bearings. International Journal of Mechanical Sciences. 286. 109887–109887. 41 indexed citations
8.
Xiang, Guo, Roman Goltsberg, & I. Etsion. (2024). Modeling static friction behavior of elastic–plastic spherical adhesive microcontact in full-stick condition. Friction. 12(11). 2594–2610. 4 indexed citations
9.
Li, Minsi, Guo Xiang, & Roman Goltsberg. (2023). Efficient Sub-Modeling for Adhesive Wear in Elastic–Plastic Spherical Contacts. Lubricants. 11(5). 228–228. 4 indexed citations
10.
Xiao, Ke, et al.. (2023). Entropy-based fluid–solid–thermal coupled wear prediction of journal bearing during repeated starting and stopping. Wear. 536-537. 205157–205157. 21 indexed citations
11.
Guo, Juan, et al.. (2022). On the dynamic wear behavior of misaligned journal bearing with profile modification under mixed lubrication. Surface Topography Metrology and Properties. 10(2). 25026–25026. 9 indexed citations
12.
Xiang, Guo, et al.. (2022). Study on time-varying mixed lubrication performance of microgroove journal-thrust coupled bearing under water lubrication. Industrial Lubrication and Tribology. 74(2). 265–273. 5 indexed citations
13.
Cai, Jianlin, et al.. (2022). Influence of the mass conservation cavitation boundary on the tribo-dynamic responses of the micro-groove water-lubricated bearing. Surface Topography Metrology and Properties. 10(4). 45011–45011. 24 indexed citations
14.
Xiang, Guo, et al.. (2021). Numerical study on the dynamic characteristics of water-lubricated rubber bearing under asperity contact. Industrial Lubrication and Tribology. 73(4). 572–580. 9 indexed citations
15.
Xiao, Ke, et al.. (2021). A simulation model to comparative analysis the effect of texture bottom shape on wear and lubrication performances for micro-groove water lubricated bearings. Surface Topography Metrology and Properties. 9(2). 25009–25009. 11 indexed citations
16.
17.
Han, Yanfeng, et al.. (2020). An experimental study on the tribological performance of water-lubricated journal bearings with three different materials. Industrial Lubrication and Tribology. 72(10). 1159–1165. 12 indexed citations
18.
Xiang, Guo, Yanfeng Han, Tao He, et al.. (2020). Wear and fluid-solid-thermal transient coupled model for journal bearings. Applied Mathematical Modelling. 85. 19–45. 31 indexed citations
19.
Xiang, Guo. (2012). Characteristics of strong wind in Mosuowan from 1961 to 2010. Ganhanqu ziyuan yu huanjing. 1 indexed citations
20.
Xiang, Guo. (2009). 3D parametric design method for underground powerhouse of hydropower engineering. Journal of Hydroelectric Engineering. 1 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026