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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:

Efficacy of machine learning algorithms in estimating emissions in a dual fuel compression ignition engine operating on hydrogen and diesel
Naveen Venkatesh Sridharan, V. Sugumaran, T. Venugopal, et al.
International Journal of Hydrogen Energy (2023) Vol. 48, Iss. 99, pp. 39599-39611
Closed Access | Times Cited: 21

Showing 21 citing articles:

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
Hydrogen/diesel RCCI engine performance assessment at low load
Hassan Hanafi Gharehlar, Mojtaba Ebrahimi, Morteza Hosseinzadeh, et al.
International Journal of Hydrogen Energy (2024) Vol. 58, pp. 200-209
Closed Access | Times Cited: 11
Prediction of diesel particulate filter regeneration conditions and diesel engine performance under regeneration mode using AMSO-BPNN and combined with XGBoost
Yuhua Wang, Jinlong Li, Guiyong Wang, et al.
Applied Energy (2024) Vol. 377, pp. 124341-124341
Closed Access | Times Cited: 8
Evaluation of emission of the hydrogen-enriched diesel engine through machine learning
Tian Erlin, Guoning Lv, Zuhe Li
Energy (2024) Vol. 307, pp. 132303-132303
Closed Access | Times Cited: 5
Significant Research on Sustainable Oxygenated Fuel for Compression Ignition Engines with Controlled Emissions and Optimum Performance Prediction Using Artificial Neural Network
Syed Javed
Sustainability (2025) Vol. 17, Iss. 2, pp. 788-788
Open Access
Prediction of performance and emissions of ammonia-diesel dual-fuel engine using response surface methodology
Xuexuan Nie, Yuhua Bi, Lizhong Shen, et al.
Energy (2025) Vol. 320, pp. 135398-135398
Closed Access
Quantitative assessment of small-bore gasoline direct injection engine for homogenous stoichiometric lean condition with hydrogen addition in dual fuel mode
Jerome Stanley M, Edwin Geo Varuvel, Leenus Jesu Martin M
International Journal of Hydrogen Energy (2024) Vol. 57, pp. 1446-1456
Closed Access | Times Cited: 4
Machine learning regression algorithms to predict emissions from steam boilers
Bárbara Dora Ross Veitía, Dayana Palma-Ramírez, Ramón Arias Gilart, et al.
Heliyon (2024) Vol. 10, Iss. 5, pp. e26892-e26892
Open Access | Times Cited: 4
Evaluation of significant greenhouse gas emissions reduction using hydrogen fuel in a LFG/Diesel RCCI engine
Jafar Karbasi, Seyed Ali Jazayeri, Mojtaba Ebrahimi
Journal of Engineering Research (2024)
Open Access | Times Cited: 3
Validation Challenges in Data for Different Diesel Engine Performance Regimes Utilising HVO Fuel: A Study on the Application of Artificial Neural Networks for Emissions Prediction
Jonas Matijošius, Alfredas Rimkus, Alytis Gruodis
Machines (2024) Vol. 12, Iss. 4, pp. 279-279
Open Access | Times Cited: 3
Evaluation of hydrogen production via steam reforming and partial oxidation of dimethyl ether using response surface methodology and artificial neural network
Karim Mansouri, Fatemeh Bahmanzadegan, Ahad Ghaemi
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3
An efficient data-driven approach for modeling and optimization of reactivity-controlled compression ignition engine fueled with polyoxymethylene dimethyl ethers and hydrogen
Haoxing Li, Shaohua Wu, Ming Jia, et al.
International Journal of Hydrogen Energy (2024) Vol. 79, pp. 1019-1029
Closed Access | Times Cited: 3
Optimizing hydrogen-rich gas production by steam gasification with integrated CaO-based adsorbent materials for CO2 capture: Machine learning approach
Mohammad Rahimi, Shakirudeen A. Salaudeen
International Journal of Hydrogen Energy (2024) Vol. 95, pp. 695-709
Open Access | Times Cited: 3
An Experimental Selection of Deep Neural Network Hyperparameters for Engine Emission Prognosis
Tadas Žvirblis, Jonas Matijošius, Artūras Kilikevičius
(2024) Vol. 48, pp. 1-6
Closed Access | Times Cited: 1
Evaluating the potential performance of methane in lean conditions and examining the variations in combustion in a gasoline direct injection engine
Jerome Stanley M, Edwin Geo Varuvel, Leenus Jesu Martin M
Energy (2024) Vol. 302, pp. 131838-131838
Closed Access | Times Cited: 1
Detection and comparison of reversible shape transformations in responsive polymers using deep learning and knowledge transfer by identifying stimulus-triggering characteristic points
Abhishek Chandramohan, Nadimpalli Raghukiran
Engineering Applications of Artificial Intelligence (2024) Vol. 136, pp. 109038-109038
Closed Access | Times Cited: 1
Detailed analysis of a pure hydrogen-fueled dual-fuel engine in terms of performance and greenhouse gas emissions
Mohammad Reza Salmani Marasht, Seyed Ali Jazayeri, Mojtaba Ebrahimi
Alexandria Engineering Journal (2024) Vol. 109, pp. 250-261
Open Access | Times Cited: 1
An ensemble learning algorithm for optimization of spark ignition engine performance fuelled with methane/hydrogen blends
Mohammad-Hassan Tayarani-Najaran, Amin Paykani
Applied Soft Computing (2024), pp. 112468-112468
Open Access
Comparative analysis of regression models to predict the performance of the dual fuel engine operating on diesel and hydrogen gas
S. Priya, C. Feenita, Uday Goel, et al.
International Journal of Hydrogen Energy (2024)
Closed Access
Forecasting the performance and emissions of a diesel engine powered by waste cooking biodiesel with carbon nano additives using tree-based, least square boost and Gaussian regression models
M.S. Gad, Ahmed Alenany
Fuel (2024) Vol. 385, pp. 134073-134073
Closed Access
Effect of addition of diethyl ether with custard apple seed oil + hydrogen enrichment on dual-fuel compression ignition engine
Panneerselvam Srinivasan, Mathanraj Vijayaragavan
Proceedings of the Institution of Mechanical Engineers Part E Journal of Process Mechanical Engineering (2023)
Closed Access
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