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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:

On the use of artificial neural networks to model the performance and emissions of a heavy-duty natural gas spark ignition engine
Qiao Huang, Jinlong Liu, Christopher Ulishney, et al.
International Journal of Engine Research (2021) Vol. 23, Iss. 11, pp. 1879-1898
Closed Access | Times Cited: 49

Showing 1-25 of 49 citing articles:

Optimizing photovoltaic thermal solar systems efficiency through advanced artificial intelligence driven thermal management techniques
Warda M. Shaban, A.E. Kabeel, Mohammed El Hadi Attia, et al.
Applied Thermal Engineering (2024) Vol. 247, pp. 123029-123029
Closed Access | Times Cited: 22
Data-driven optimization of turbulent kinetic energy and tumble-y in combustion engines: A comparative study of machine learning models
Amirali Shateri, Zhiyin Yang, Yun Liu, et al.
Fuel (2025) Vol. 389, pp. 134590-134590
Open Access | Times Cited: 2
Rapid and accurate prediction of molecular dynamics simulations using physics-informed LSTM networks in engine emission analysis: A case study of C3H6/NH3 pyrolysis for PAH formation
Yuchao Yan, Tianfang Xie, Jinlong Liu
Journal of the Energy Institute (2025), pp. 102090-102090
Closed Access | Times Cited: 2
Machine Learning Assisted Analysis of an Ammonia Engine Performance
Zhentao Liu, Jinlong Liu
Journal of Energy Resources Technology (2022) Vol. 144, Iss. 11
Closed Access | Times Cited: 54
Improving Solar PV Prediction Performance with RF-CatBoost Ensemble: A Robust and Complementary Approach
Rita Banik, Ankur Biswas
Renewable energy focus (2023) Vol. 46, pp. 207-221
Closed Access | Times Cited: 26
Promoting the valorization of blast furnace gas in the steel industry with the visual monitoring of combustion and artificial intelligence
Pedro Compais, J. Arroyo, Francisco D. Tovar, et al.
Fuel (2024) Vol. 362, pp. 130770-130770
Closed Access | Times Cited: 9
Evaluation of machine learning algorithms on hydrogen boosted homogeneous charge compression ignition engine operation for performance and emission prediction
S. Sathishkumar, M. Mohamed Ibrahim
Process Safety and Environmental Protection (2025)
Closed Access | Times Cited: 1
Physics informed neural network with Fourier feature for natural convection problems
Younes Bounnah, Mustapha Kamel Mihoubi, Salah Larbi
Engineering Applications of Artificial Intelligence (2025) Vol. 146, pp. 110327-110327
Closed Access | Times Cited: 1
Comparison of GRNN and RF algorithms for predicting heat transfer coefficient in heat exchange channels with bulges
Xiao Zheng, Ruomiao Yang, Qifan Wang, et al.
Applied Thermal Engineering (2022) Vol. 217, pp. 119263-119263
Closed Access | Times Cited: 36
The Prediction of Spark-Ignition Engine Performance and Emissions Based on the SVR Algorithm
Yu Zhang, Qifan Wang, Xiaofei Chen, et al.
Processes (2022) Vol. 10, Iss. 2, pp. 312-312
Open Access | Times Cited: 29
A study on nitrogen oxide emission prediction in Taichung thermal power plant using artificial intelligence (AI) model
Jian-Liang Liou, Kuo-Chien Liao, Hung-Ta Wen, et al.
International Journal of Hydrogen Energy (2024) Vol. 63, pp. 1-9
Closed Access | Times Cited: 8
An Artificial Neural Network Model to Predict Efficiency and Emissions of a Gasoline Engine
Ruomiao Yang, Yuchao Yan, Xiaoxia Sun, et al.
Processes (2022) Vol. 10, Iss. 2, pp. 204-204
Open Access | Times Cited: 27
Machine Learning Approaches for Predicting Ignition Delay in Combustion Processes: A Comprehensive Review
Maysam Molana, Sahar Darougheh, Abbas Biglar, et al.
Industrial & Engineering Chemistry Research (2024) Vol. 63, Iss. 6, pp. 2509-2518
Closed Access | Times Cited: 6
Artificial Intelligence based Emission and Performance Prediction, and Optimization of HHO-Blended Gasoline SI Engine: A Sustainable Transition
Muhammad Nasir Bashir, Muhammad Usman, Fahid Riaz, et al.
Case Studies in Thermal Engineering (2024), pp. 105562-105562
Open Access | Times Cited: 5
Hydrogen powered reactivity controlled compression ignition engine operation with split injection regimens for combustion and performance prediction: Experimental analysis coupled with machine learning approach
S. Sathishkumar, M. Mohamed Ibrahim
International Journal of Hydrogen Energy (2025) Vol. 106, pp. 1198-1219
Closed Access
Predictions of heat of combustion and formation by interpretable machine learning algorithms
Mikael Maraschin, Thompson Diórdinis Metzka Lanzanova, Nina Paula Gonçalves Salau
Fuel (2025) Vol. 390, pp. 134699-134699
Closed Access
Machine Learning Approaches for Fault Detection in Internal Combustion Engines: A Review and Experimental Investigation
S. Kumar, N.R. Sakthivel, Binoy B. Nair
Informatics (2025) Vol. 12, Iss. 1, pp. 25-25
Open Access
Machine Learning Assisted Modeling of Ignition Delay in a Light-Duty Gasoline Compression Ignition engine
Ridolfi Alessandro, Silvagni Giacomo, Vittorio Ravaglioli, et al.
Transportation Engineering (2025), pp. 100316-100316
Open Access
Community Responses to Changes in Perceptions and Annoyance with Noise and Shadow Flickering: A Longitudinal Study
Wei Zhang, Shigeo Nishikizawa, Takehiko Murayama, et al.
Renewable energy focus (2025), pp. 100701-100701
Open Access
A hybrid CFD and machine learning study of energy performance of photovoltaic systems with a porous collector: Model development and validation
Yinling Wang, Lei Yu, Mazhar Ali, et al.
Case Studies in Thermal Engineering (2025), pp. 105998-105998
Open Access
Dynamic modelling for the family of 5-axis CNC milling machines with application to feed-rate optimization
Chu Anh My, Nguyễn Văn Hùng, Chi Hieu Le, et al.
Engineering Science and Technology an International Journal (2025) Vol. 65, pp. 102015-102015
Closed Access
Numerical-based multi-objective optimization and regression analysis using genetic programming for novel microfabricated thermoresistive calorimetric flow sensor in precise low-velocity biomedical applications
Mojtaba Babaelahi, Mohammad Taghi Kazemi
Journal of Thermal Analysis and Calorimetry (2025)
Closed Access
Machine Learning-based Time Series Modelling for Large-Scale Regional Wind Power Forecasting: a Case Study in Ontario, Canada
Hanin Alkabbani, Farzad Hourfar, Ali Ahmadian, et al.
Cleaner Energy Systems (2023) Vol. 5, pp. 100068-100068
Open Access | Times Cited: 9
A State-of-the-Art Review on Machine Learning Based Municipal Waste to Energy System
Dale Mark N. Bristol, Ivan Henderson V. Gue, Aristotle T. Ubando
Cleaner Energy Systems (2024) Vol. 9, pp. 100143-100143
Open Access | Times Cited: 3
Multidimensional Computational Fluid Dynamics Combustion Process Modeling of a 6V150 Diesel Engine
Zhentao Liu, Yu Zhang, Jiahong Fu, et al.
Journal of Thermal Science and Engineering Applications (2022) Vol. 14, Iss. 10
Closed Access | Times Cited: 14
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