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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, diagnostics, optimization, and control of internal combustion engines via modern machine learning techniques: A review and future directions
Masoud Aliramezani, Charles Robert Koch, Mahdi Shahbakhti
Progress in Energy and Combustion Science (2021) Vol. 88, pp. 100967-100967
Closed Access | Times Cited: 182

Showing 1-25 of 182 citing articles:

A comprehensive review of planning, modeling, optimization, and control of distributed energy systems
Junhong Hao, Yongping Yang, Chao Xu, et al.
Carbon Neutrality (2022) Vol. 1, Iss. 1
Open Access | Times Cited: 42
A review of computational modeling techniques for wet waste valorization: Research trends and future perspectives
Jie Li, Manu Suvarna, Lanyu Li, et al.
Journal of Cleaner Production (2022) Vol. 367, pp. 133025-133025
Closed Access | Times Cited: 41
Artificial intelligence foundation and pre-trained models: Fundamentals, applications, opportunities, and social impacts
Adam Kolides, Alyna Nawaz, Anshu Rathor, et al.
Simulation Modelling Practice and Theory (2023) Vol. 126, pp. 102754-102754
Closed Access | Times Cited: 37
Prediction of IC engine performance and emission parameters using machine learning: A review
K. Karunamurthy, Ayub Ahmed Janvekar, P. L. Palaniappan, et al.
Journal of Thermal Analysis and Calorimetry (2023) Vol. 148, Iss. 9, pp. 3155-3177
Closed Access | Times Cited: 28
Application of machine learning technologies in biodiesel production process—A review
Omojola Awogbemi, Daramy Vandi Von Kallon
Frontiers in Energy Research (2023) Vol. 11
Open Access | Times Cited: 24
Machine learning-based prediction of friction torque and friction coefficient in statically loaded radial journal bearings
Hasan Baş, Yunus Emre Karabacak
Tribology International (2023) Vol. 186, pp. 108592-108592
Closed Access | Times Cited: 24
Methodology and application of digital twin-driven diesel engine fault diagnosis and virtual fault model acquisition
Yaqing Bo, Han Wu, Weifan Che, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 131, pp. 107853-107853
Closed Access | Times Cited: 10
An enhanced automated machine learning model for optimizing cycle-to-cycle variation in hydrogen-enriched methanol engines
Yizi Zhu, Zhixia He, Tiemin Xuan, et al.
Applied Energy (2024) Vol. 362, pp. 123019-123019
Closed Access | Times Cited: 8
Multi-objective optimization of the performance for a marine methanol-diesel dual-fuel engine
Feng Wei, Zunhua Zhang, Wenwen Wei, et al.
Fuel (2024) Vol. 368, pp. 131556-131556
Closed Access | Times Cited: 8
Machine learning based technique for outlier detection and result prediction in combustion diagnostics
Mingfei Chen, Kaile Zhou, Dong Liu
Energy (2024) Vol. 290, pp. 130218-130218
Closed Access | Times Cited: 7
Comparative diesel engine performance and emission forecasting using extreme learning and quadratic regression techniques burning waste cooking biodiesel
M.S. Gad, Ahmed Alenany
International Journal of Hydrogen Energy (2024) Vol. 60, pp. 94-106
Closed Access | Times Cited: 7
Impact of Internal Combustion Engine on Energy Supplyand its Emission Reduction via Sustainable Fuel Source
Abdelgader A.S. Gheidan, Mazlan Bin Abdul Wahid, Opia Anthony Chukwunonso, et al.
Evergreen (2022) Vol. 9, Iss. 3, pp. 830-844
Open Access | Times Cited: 33
Application of machine learning algorithms for predicting the engine characteristics of a wheat germ oil–Hydrogen fuelled dual fuel engine
Femilda Josephin Joseph Shobana Bai, S. Kaliraj, Ankit Sonthalia, et al.
International Journal of Hydrogen Energy (2022) Vol. 48, Iss. 60, pp. 23308-23322
Closed Access | Times Cited: 32
Machine fault detection methods based on machine learning algorithms: A review
Giuseppe Ciaburro
Mathematical Biosciences & Engineering (2022) Vol. 19, Iss. 11, pp. 11453-11490
Open Access | Times Cited: 28
Knock probability determination in a turbocharged gasoline engine through exhaust gas temperature and artificial neural network
M. Hosseini, Iman Chitsaz
Applied Thermal Engineering (2023) Vol. 225, pp. 120217-120217
Closed Access | Times Cited: 20
Prediction technique for flow boiling heat transfer and critical heat flux in both microgravity and Earth gravity via artificial neural networks (ANNs)
Issam Mudawar, Steven J. Darges, V.S. Devahdhanush
International Journal of Heat and Mass Transfer (2023) Vol. 220, pp. 124998-124998
Closed Access | Times Cited: 20
Triboinformatic modeling of the friction force and friction coefficient in a cam-follower contact using machine learning algorithms
Hasan Baş, Yunus Emre Karabacak
Tribology International (2023) Vol. 181, pp. 108336-108336
Closed Access | Times Cited: 15
Machine learning approaches for identification of heat release shapes in a low temperature combustion engine for control applications
Sadaf Batool, Jeffrey Naber, Mahdi Shahbakhti
Control Engineering Practice (2024) Vol. 144, pp. 105838-105838
Closed Access | Times Cited: 6
Accuracy of artificial intelligence-assisted endoscopy in the diagnosis of gastric intestinal metaplasia: A systematic review and meta-analysis
Na Li, Jian Yang, Xiaodong Li, et al.
PLoS ONE (2024) Vol. 19, Iss. 5, pp. e0303421-e0303421
Open Access | Times Cited: 5
Diesel/biodiesel/biogas mixtures driven compression ignition internal combustion engines constructal design
Sidyel Arcanjo, JOSÉ VIRIATO COELHO VARGAS, Juan C. Ordóñez, et al.
International Communications in Heat and Mass Transfer (2024) Vol. 156, pp. 107703-107703
Closed Access | Times Cited: 5
Applications of Machine Learning in Real-Time Control Systems: A Review
Xiaoning Zhao, Yougang Sun, Y.Y. Li, et al.
Measurement Science and Technology (2024) Vol. 36, Iss. 1, pp. 012003-012003
Closed Access | Times Cited: 5
Feasibility analysis of replacing benzene in gasoline with cyclohexane: engine performance and emissions
Yongqiang Han, Yinlong Li, Jing Tian, et al.
Journal of the Energy Institute (2025), pp. 101996-101996
Closed Access
Fault diagnosis of the hybrid system composed of proton exchange membrane fuel cells and ammonia-hydrogen fueled internal combustion engines under adaptive power allocation strategies
Cong-Lei Zhang, Ben-Xi Zhang, Zhangliang Chen, et al.
Sustainable Energy Technologies and Assessments (2025) Vol. 74, pp. 104175-104175
Closed Access
Study and prediction on macroscopic characteristics of free spray of typical alcohol fuels through experimentation and the artificial neural network
Yulin Zhang, Yan Su, Xiaoping Li, et al.
Energy (2025), pp. 134610-134610
Closed Access
Filtered Density Function
Hua Zhou, Peyman Givi, Zhuyin Ren
Cambridge University Press eBooks (2025), pp. 127-150
Closed Access
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