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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.

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Showing 1-25 of 68 citing articles:

Improving the combustion and emission performance of a diesel engine powered with mahua biodiesel and TiO2 nanoparticles additive
Chinmoy Jit Sarma, Prabhakar Sharma, Bhaskor Jyoti Bora, et al.
Alexandria Engineering Journal (2023) Vol. 72, pp. 387-398
Open Access | Times Cited: 59
Effect of nanoparticles on diesel engines driven by biodiesel and its blends: A review of 10 years of research
Chuanhao Jin, Jiangjun Wei, Buze Chen, et al.
Energy Conversion and Management (2023) Vol. 291, pp. 117276-117276
Closed Access | Times Cited: 58
Application of hybrid Taguchi L16 and desirability for model prediction and optimization in assessment of the performance of a novel Water Hyacinth biodiesel run diesel engine
Akshay Jain, Bhaskor Jyoti Bora, Rakesh Kumar, et al.
Fuel (2023) Vol. 339, pp. 127377-127377
Closed Access | Times Cited: 47
Influence of nano additives on Diesel-Biodiesel fuel blends in diesel engine: A spray, performance, and emissions study
Muteeb ul Haq, Ali Turab Jafry, Moazzam Ali, et al.
Energy Conversion and Management X (2024) Vol. 23, pp. 100574-100574
Open Access | Times Cited: 22
A comprehensive review of stability enhancement strategies for metal nanoparticle additions to diesel/biodiesel and their methods of reducing pollutant
Yanhui Chen, Jian Zhang, Zhiqing Zhang, et al.
Process Safety and Environmental Protection (2024) Vol. 183, pp. 1258-1282
Closed Access | Times Cited: 18
Prediction of hydrogen−brine interfacial tension at subsurface conditions: Implications for hydrogen geo-storage
Mostafa Hosseini, Yuri Leonenko
International Journal of Hydrogen Energy (2024) Vol. 58, pp. 485-494
Open Access | Times Cited: 16
Predicting the wettability rocks/minerals-brine-hydrogen system for hydrogen storage: Re-evaluation approach by multi-machine learning scheme
Hung Vo Thanh, Mohammad Rahimi, Zhenxue Dai, et al.
Fuel (2023) Vol. 345, pp. 128183-128183
Closed Access | Times Cited: 35
Prediction of HHV of fuel by Machine learning Algorithm: Interpretability analysis using Shapley Additive Explanations (SHAP)
Manish Sharma Timilsina, Subhadip Sen, Bibek Uprety, et al.
Fuel (2023) Vol. 357, pp. 129573-129573
Closed Access | Times Cited: 28
Prediction of transportation energy demand in Türkiye using stacking ensemble models: Methodology and comparative analysis
Julian Hoxha, Muhammed Yasin Çodur, Enea Mustafaraj, et al.
Applied Energy (2023) Vol. 350, pp. 121765-121765
Open Access | Times Cited: 27
Machine learning-driven prediction and optimization of monoaromatic oil production from catalytic co-pyrolysis of biomass and plastic wastes
Dan Xu, Zihang Zhang, Zijian He, et al.
Fuel (2023) Vol. 350, pp. 128819-128819
Closed Access | Times Cited: 23
Effect of particle size on second law of thermodynamics analysis of Al2O3 nanofluid: Application of XGBoost and gradient boosting regression for prognostic analysis
Praveen Kumar Kanti, Mansoor Alruqi, H. A. Hanafi, et al.
International Journal of Thermal Sciences (2023) Vol. 197, pp. 108825-108825
Closed Access | Times Cited: 23
An approach towards building robust neural networks models using multilayer perceptron through experimentation on different photovoltaic thermal systems
Manash J. Deka, Pankaj Kalita, Dudul Das, et al.
Energy Conversion and Management (2023) Vol. 292, pp. 117395-117395
Closed Access | Times Cited: 22
Application of nanomaterials for emission reduction from diesel engines powered with waste cooking oil biodiesel
Prabhakar Sharma, Prabhu Paramasivam, Bhaskor Jyoti Bora, et al.
International Journal of Low-Carbon Technologies (2023) Vol. 18, pp. 795-801
Open Access | Times Cited: 21
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
Artificial neural networks-based performance and emission characteristics prediction of compression ignition engines powered by blends of biodiesel derived from waste cooking oil
Somya Patnaik, Narendra Khatri, Eldon R. Rene
Fuel (2024) Vol. 370, pp. 131806-131806
Open Access | Times Cited: 12
Comparative analysis of energy, exergy, emission, and sustainability aspects of third generation microalgae biodiesels in a diesel engine
Aman Singh Rajpoot, Tushar Choudhary, H. Chelladurai, et al.
Process Safety and Environmental Protection (2024) Vol. 188, pp. 1026-1036
Closed Access | Times Cited: 11
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
A glass-box approach for predictive modeling based on experimental data for a waste biomass derived producer gas-powered dual-fuel engine
Thanh Tuan Le, Prabhakar Sharma, Huu Cuong Le, et al.
International Journal of Hydrogen Energy (2024) Vol. 58, pp. 1122-1137
Closed Access | Times Cited: 6
Investigation of Wettability and IFT Alteration during Hydrogen Storage Using Machine Learning
Mehdi Maleki, Mohammad Rasool Dehghani, Ali Akbari, et al.
Heliyon (2024) Vol. 10, Iss. 19, pp. e38679-e38679
Open Access | Times Cited: 6
Harnessing a Better Future: Exploring AI and ML Applications in Renewable Energy
Tien Han Nguyen, Prabhu Paramasivam, Van Huong Dong, et al.
JOIV International Journal on Informatics Visualization (2024) Vol. 8, Iss. 1, pp. 55-55
Open Access | Times Cited: 5
Gaussian Process Regression for State-to-State Integral Cross Sections: The Case of the O + O2 Collision Dissociation Reactions
Jiawei Yang, Jia Li, Junhong Li, et al.
The Journal of Physical Chemistry A (2024) Vol. 128, Iss. 25, pp. 4966-4975
Closed Access | Times Cited: 5
Efficient Dual-Mode Power Generation with Sustainable Biogas and Biodiesel Blends in Diesel Generators
Ratchagaraja Dhairiyasamy, Deepika Gabiriel
Cleaner Energy Systems (2025), pp. 100171-100171
Open Access
Comprehensive Assessment of Energy, Exergy, and Environmental Impacts of Lemongrass Oil-Diesel Blend with Dimethyl and Diethyl Ethers in Agricultural Diesel Engines
R. Sathiyamoorthi, S. Senthil, Thiruselvam Krishnamoorthi, et al.
Chemical Engineering and Processing - Process Intensification (2025), pp. 110187-110187
Closed Access
Predictive Modeling and Optimization of Noise Emissions in a Palm Oil Methyl Ester-Fueled Diesel Engine Using Response Surface Methodology and Artificial Neural Network Integrated with Genetic Algorithm
J.M. Zikri, M. S. M. Sani, Mohd Fadzil Faisae Ab Rashid, et al.
International Journal of Thermofluids (2025), pp. 101103-101103
Open Access
ANN Prediction Analysis of Engine Performance and Emissions Characteristics Using a New Set of Plastic Pyrolysis Oil Blended With Pure Diesel
Amit Tiwari, Pooja Varshney, Harshita Swarnkar, et al.
Advances in chemical and materials engineering book series (2025), pp. 317-358
Closed Access
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