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 2021-08-01 to 2025-08-01.)
ArticleCitations
Effect of thermal activation temperature on chemical-mechanical polishing of titanium alloy53
Wheel wear of mountain metro vehicles with complex line conditions28
Application of a non-Hertzian model to wheel/rail frictional contact and wheel surface damage analysis of heavy-haul locomotives subject to braking loads21
Transient characteristics investigation on axis orbit of flexible pivot tilting pad hybrid bearing21
Experimental investigation on performance of cryogenic, MQL and Nano-Coolant machining environment in turning of inconel 71819
Numerical optimization of highly loaded microtextured contacts: understanding and mastering complexity18
Effects of geometrical parameters on thermohydrodynamic performance of a bearing operating with nanoparticle additive oil18
Lubrication characteristics and thermal deformation of hydrostatic thrust bearing based on conjugate heat transfer18
Fractal contact resistance model of wind pitch slip ring considering wear and self-excited vibration17
Influence of separation, collision and friction of rotating ring in sleeve on vibration characteristics of gas face seals14
Dynamics modeling and simulation analysis of wet clutch considering spline pair13
Study on the tribological performance of self-lubricating thrust ball bearings with different embedded features13
Effect of magnetic field on the lubricating performance of nano magnetorheological grease at different temperatures13
Research on influence of polishing fluids parameters on processing effects in reciprocating magnetorheological polishing13
Review of tribological properties of polyimide-based composite materials13
BesNet: binocular ferrographic image recognition model based on deep learning technology13
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