Industrial Lubrication and Tribology

Papers
(The H4-Index of Industrial Lubrication and Tribology is 13. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2022-05-01 to 2026-05-01.)
ArticleCitations
Wheel wear of mountain metro vehicles with complex line conditions27
Effect of magnetic field on the lubricating performance of nano magnetorheological grease at different temperatures21
Influence of separation, collision and friction of rotating ring in sleeve on vibration characteristics of gas face seals20
Research on influence of polishing fluids parameters on processing effects in reciprocating magnetorheological polishing20
Experimental investigation on performance of cryogenic, MQL and Nano-Coolant machining environment in turning of inconel 71818
Effects of geometrical parameters on thermohydrodynamic performance of a bearing operating with nanoparticle additive oil17
The in situ three-dimensional reconstruction of worn surface topography using a low-cost kaleidoscopic imaging system16
Lubrication characteristics and thermal deformation of hydrostatic thrust bearing based on conjugate heat transfer14
A review of conductive lubricating grease for use in high-speed bearings, electric motors and aerospace components14
Research on fractal contact performance of cam surface based on higher-order differential interpolation14
Effect of thermal activation temperature on chemical-mechanical polishing of titanium alloy14
Numerical optimization of highly loaded microtextured contacts: understanding and mastering complexity13
Fractal contact resistance model of wind pitch slip ring considering wear and self-excited vibration13
Study on the tribological performance of self-lubricating thrust ball bearings with different embedded features13
Application of a non-Hertzian model to wheel/rail frictional contact and wheel surface damage analysis of heavy-haul locomotives subject to braking loads13
BesNet: binocular ferrographic image recognition model based on deep learning technology13
A leakage rate numerical calculation method for reciprocating seal based on topography reconstruction and percolation theory13
0.11969590187073