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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Modeling and classifying the in-operando effects of wear and metal contaminations of lubricating oil on diesel engine: A machine learning approach
Mohammad Rahimi, Mohammad-Reza Pourramezan, Abbas Rohani
Expert Systems with Applications (2022) Vol. 203, pp. 117494-117494
Closed Access | Times Cited: 28

Showing 1-25 of 28 citing articles:

Yield prediction and optimization of biomass-based products by multi-machine learning schemes: Neural, regression and function-based techniques
Mohammad Rahimi, Hossein Mashhadimoslem, Hung Vo Thanh, et al.
Energy (2023) Vol. 283, pp. 128546-128546
Closed Access | Times Cited: 27
Hydrogen Storage on Porous Carbon Adsorbents: Rediscovery by Nature-Derived Algorithms in Random Forest Machine Learning Model
Hung Vo Thanh, Sajad Ebrahimnia Taremsari, Benyamin Ranjbar, et al.
Energies (2023) Vol. 16, Iss. 5, pp. 2348-2348
Open Access | Times Cited: 23
Toward sustainable culture media: Using artificial intelligence to optimize reduced-serum formulations for cultivated meat
Amin Nikkhah, Abbas Rohani, Mohammad Zarei, et al.
The Science of The Total Environment (2023) Vol. 894, pp. 164988-164988
Open Access | Times Cited: 23
Recent progress on advanced solid adsorbents for CO2 capture: From mechanism to machine learning
Mobin Safarzadeh Khosrowshahi, Amirhossein Afshari Aghajari, Mohammad Rahimi, et al.
Materials Today Sustainability (2024) Vol. 27, pp. 100900-100900
Closed Access | Times Cited: 14
Modeling the thermal transport properties of hydrogen and its mixtures with greenhouse gas impurities: A data-driven machine learning approach
Hung Vo Thanh, Mohammad Rahimi, Suparit Tangparitkul, et al.
International Journal of Hydrogen Energy (2024) Vol. 83, pp. 1-12
Closed Access | Times Cited: 8
A multi-criteria decision-making (MCDM) approach to determine the synthesizing routes of biomass-based carbon electrode material in supercapacitors
Mohammad Rahimi, Hung Vo Thanh, Iman Ebrahimzade, et al.
Journal of Cleaner Production (2023) Vol. 397, pp. 136606-136606
Closed Access | Times Cited: 19
Experimental analysis of cycle tire pyrolysis oil doped with 1-decanol + TiO2 additives in compression ignition engine using RSM optimization and machine learning approach
K. Sunil Kumar, Abdul Razak, Anupam Yadav, et al.
Case Studies in Thermal Engineering (2024) Vol. 61, pp. 104863-104863
Open Access | Times Cited: 5
Research overview and prospect in condition monitoring of compressors
Anil Kumar
Expert Systems with Applications (2025), pp. 127284-127284
Closed Access
Modeling and Optimizing N/O-Enriched Bio-Derived Adsorbents for CO2 Capture: Machine Learning and DFT Calculation Approaches
Mohammad Rahimi, Mohammad Hossein Abbaspour‐Fard, Abbas Rohani, et al.
Industrial & Engineering Chemistry Research (2022) Vol. 61, Iss. 30, pp. 10670-10688
Closed Access | Times Cited: 25
Evaluating Wear Volume of Oligoether Esters with an Interpretable Machine Learning Approach
Hanwen Wang, Chunhua Zhang, Xiaowen Yu, et al.
Tribology Letters (2023) Vol. 71, Iss. 2
Closed Access | Times Cited: 9
Development of compositional-based models for prediction of heavy crude oil viscosity: Application in reservoir simulations
Zifeng Liu, Xuliang Zhao, Yifan Tian, et al.
Journal of Molecular Liquids (2023) Vol. 389, pp. 122918-122918
Closed Access | Times Cited: 7
A novel method for aero-engine time-series forecasting based on multi-resolution transformer
Hui-Jie Jin, Yong-Ping Zhao, Mei-Na Pan
Expert Systems with Applications (2024) Vol. 255, pp. 124597-124597
Closed Access | Times Cited: 2
Spatial-temporal modeling of oil condition monitoring: A review
Yan Pan, Bin Liang, Yang Lei, et al.
Reliability Engineering & System Safety (2024) Vol. 248, pp. 110182-110182
Closed Access | Times Cited: 1
Optimizing Methane Uptake on N/O Functionalized Graphene via DFT, Machine Learning, and Uniform Manifold Approximation and Projection (UMAP) Techniques
Mohammad Rahimi, Amir Mehrpanah, Parastoo Mouchani, et al.
Industrial & Engineering Chemistry Research (2024) Vol. 63, Iss. 44, pp. 18940-18956
Closed Access | Times Cited: 1
Comparative Analysis of Soft Computing Models for Predicting Viscosity in Diesel Engine Lubricants: An Alternative Approach to Condition Monitoring
Mohammad-Reza Pourramezan, Abbas Rohani, Mohammad Hossein Abbaspour‐Fard
ACS Omega (2023)
Open Access | Times Cited: 3
Towards Modeling and Predicting the Yield of Oilseed Crops: Multi-Machine Learning Techniques Approach
Mahdieh Parsaeian, Mohammad Rahimi, Abbas Rohani, et al.
(2022)
Open Access | Times Cited: 5
Towards the Modeling and Prediction of the Yield of Oilseed Crops: A Multi-Machine Learning Approach
Mahdieh Parsaeian, Mohammad Rahimi, Abbas Rohani, et al.
Agriculture (2022) Vol. 12, Iss. 10, pp. 1739-1739
Open Access | Times Cited: 4
Toward Modeling the In Vitro Gas Production Process by Using Propolis Extract Oil Treatment: Machine Learning and Kinetic Models
Alireza Vakili, Shahab Ehtesham, Mohsen Danesh Mesgaran, et al.
Industrial & Engineering Chemistry Research (2022) Vol. 62, Iss. 37, pp. 14910-14922
Closed Access | Times Cited: 4
Correlative Method for Diagnosing Gas-Turbine Tribological Systems
Maciej Deliś, Sylwester Kłysz, Radosław Przysowa
(2023)
Open Access | Times Cited: 2
Pashukevich Motor oil performance analysis due to water and coolant contamination
S. V. Pashukevich
The Russian Automobile and Highway Industry Journal (2024) Vol. 20, Iss. 6, pp. 728-737
Open Access
Effect of Long Used Machine Oil on the Tribological Behaviour of Cu-Based Gear Materials
Samiul Kaiser, A. Rasool Ahmed, Raisa Sharmila, et al.
Applied Mechanics and Materials (2024) Vol. 919, pp. 139-154
Closed Access
Intelligent Wear Condition Prediction of Ball Bearings Based on Convolutional Neural Networks and Lubricating Oil
Jiasi Sun, Jiali Bu, Xiaopeng Guo, et al.
Journal of Failure Analysis and Prevention (2024) Vol. 24, Iss. 4, pp. 1854-1864
Closed Access
Improved Monitoring and Classification of Engine Oil Condition through Two Machine Learning Techniques
Mohammad-Reza Pourramezan, Abbas Rohani
SAE international journal of fuels and lubricants (2024) Vol. 18, Iss. 1
Closed Access
Microwaved-induced co-pyrolysis of used engine lubricant and palm empty fruit bunch for alternative fuel recovery
Nivasini Paramasivam, Rubia Idris, Chong Eng Tan, et al.
Carbon Resources Conversion (2024) Vol. 8, Iss. 1, pp. 100300-100300
Closed Access
Correlative Method for Diagnosing Gas-Turbine Tribological Systems
Maciej Deliś, Sylwester Kłysz, Radosław Przysowa
Sensors (2023) Vol. 23, Iss. 12, pp. 5738-5738
Open Access | Times Cited: 1
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