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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 78 citing articles:

Response surface methodology (RSM) for optimizing engine performance and emissions fueled with biofuel: Review of RSM for sustainability energy transition
Ibham Veza, Martin Spraggon, I.M. Rizwanul Fattah, et al.
Results in Engineering (2023) Vol. 18, pp. 101213-101213
Open Access | Times Cited: 199
Performance and emission prediction of a compression ignition engine fueled with biodiesel-diesel blends: A combined application of ANN and RSM based optimization
Mustafa Aydın, Samet Uslu, Mehmet Çeli̇k
Fuel (2020) Vol. 269, pp. 117472-117472
Closed Access | Times Cited: 197
Optimization of diesel engine operating parameters fueled with palm oil-diesel blend: Comparative evaluation between response surface methodology (RSM) and artificial neural network (ANN)
Samet Uslu
Fuel (2020) Vol. 276, pp. 117990-117990
Closed Access | Times Cited: 155
Review of artificial neural networks for gasoline, diesel and homogeneous charge compression ignition engine
Ibham Veza, Asif Afzal, M.A. Mujtaba, et al.
Alexandria Engineering Journal (2022) Vol. 61, Iss. 11, pp. 8363-8391
Open Access | Times Cited: 127
Proportional impact prediction model of animal waste fat-derived biodiesel by ANN and RSM technique for diesel engine
Süleyman Şimşek, Samet Uslu, Hatice Şimsek
Energy (2021) Vol. 239, pp. 122389-122389
Closed Access | Times Cited: 88
Artificial neural network approach on forecasting diesel engine characteristics fuelled with waste frying oil biodiesel
D. Babu, Vinoth Thangarasu, Anand Ramanathan
Applied Energy (2020) Vol. 263, pp. 114612-114612
Closed Access | Times Cited: 71
Comparative study using RSM and ANN modelling for performance-emission prediction of CI engine fuelled with bio-diesohol blends: A fuzzy optimization approach
Suman Dey, Narath Moni Reang, Pankaj Kumar Das, et al.
Fuel (2021) Vol. 292, pp. 120356-120356
Closed Access | Times Cited: 71
Development of artificial neural network and response surface methodology model to optimize the engine parameters of rubber seed oil – Hydrogen on PCCI operation
Edwin Geo Varuvel, Sathyanarayanan Seetharaman, Femilda Josephin Joseph Shobana Bai, et al.
Energy (2023) Vol. 283, pp. 129110-129110
Closed Access | Times Cited: 34
Optimization of engine performance, emission and combustion parameters by using mixed nonedible oil biodiesel with nano-additives using hybrid techniques
P. Sujin, S. Sheeju Selva Roji, Ajith J. Kings, et al.
Energy (2024) Vol. 305, pp. 132413-132413
Closed Access | Times Cited: 9
An Integrated Biorefinery of Wood Apple Kernel for Bio-Oil and Bio-Diesel Production: Optimization of Engine Attributes Using Taguchi, RSM, and CRITIC-COCOSO Hybrid Techniques
Malinee Sriariyanun, Elaiyarasan Uthirapathi, R. Sakthivel, et al.
International Journal of Environmental Research (2025) Vol. 19, Iss. 3
Closed Access | Times Cited: 1
Modelling and Optimizing Pyrene Removal from the Soil by Phytoremediation using Response Surface Methodology, Artificial Neural Networks, and Genetic Algorithm
Farzaneh Mohammadi, Mohammad Reza Samaei, Abooalfazl Azhdarpoor, et al.
Chemosphere (2019) Vol. 237, pp. 124486-124486
Closed Access | Times Cited: 72
Multi-attribute decision-making approach for Aegle marmelos pyrolysis process using TOPSIS and Grey Relational Analysis: Assessment of engine emissions through novel Infrared thermography
P. Baranitharan, K. Ramesh, R. Sakthivel
Journal of Cleaner Production (2019) Vol. 234, pp. 315-328
Closed Access | Times Cited: 65
Artificial intelligence‐based model prediction of biodiesel‐fueled engine performance and emission characteristics: A comparative evaluation of gene expression programming and artificial neural network
Prabhakar Sharma
Heat Transfer (2021) Vol. 50, Iss. 6, pp. 5563-5587
Closed Access | Times Cited: 44
A computational technique for prediction and optimization of VCR engine performance and emission parameters fuelled with Trichosanthes cucumerina biodiesel using RSM with desirability function approach
R. Manimaran, Thangavelu Mohanraj, Venkatesan Moorthy, et al.
Energy (2022) Vol. 254, pp. 124293-124293
Closed Access | Times Cited: 35
Optimization of gasoline engine emission parameters employing commercial and sucrolite-catalyst coated converter using response surface methodology
S. Sathyanarayanan, S. Suresh, Samet Uslu, et al.
International Journal of Environmental Science and Technology (2022) Vol. 20, Iss. 2, pp. 1725-1738
Closed Access | Times Cited: 33
Prediction, optimization, and validation of the combustion effects of diisopropyl ether-gasoline blends: A combined application of artificial neural network and response surface methodology
Sathyanarayanan Seetharaman, S. Suresh, R. S. Shivaranjani, et al.
Energy (2024) Vol. 305, pp. 132185-132185
Closed Access | Times Cited: 8
Performance improvement of compression ignition engine fueled by second generation biodiesel fuel blends enriched with ZnO nanoparticles: Experimental study and Gaussian process regression AI modeling
Mohammed El-Adawy, Mohamed E. Zayed, Bashar Shboul, et al.
Process Safety and Environmental Protection (2024) Vol. 190, pp. 1372-1385
Closed Access | Times Cited: 7
Optimization of operating parameters for diesel engine fuelled with bio-oil derived from cottonseed pyrolysis
R. Sakthivel, Sidharth Suresh, Shanthinath Mallinathan, et al.
Sustainable Energy Technologies and Assessments (2022) Vol. 52, pp. 102202-102202
Closed Access | Times Cited: 24
Experimental and empirical analysis of a diesel engine fuelled with ternary blends of diesel, waste cooking sunflower oil biodiesel and diethyl ether
B. Devaraj Naik, Udayakumar Meivelu, Vinoth Thangarasu, et al.
Fuel (2022) Vol. 320, pp. 123961-123961
Closed Access | Times Cited: 23
Exploring the integration of multi criteria decision analysis in the clean energy biodiesels applications: A systematic review and gap analysis
A. H. Alamoodi, Salem Garfan, Al‐Zuhairi Omar, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108023-108023
Closed Access | Times Cited: 6
Optimization of performance and emission of a diesel engine fueled with isopropyl alcohol Blends: A comparative ANN-GA and RSM-HCO application
Mehmet Şen
Engineering Science and Technology an International Journal (2024) Vol. 55, pp. 101733-101733
Open Access | Times Cited: 5
Combined effects of biodiesel − ULSD blends and EGR on performance and emissions of diesel engine using Response surface methodology (RSM)
Ashish Dubey, Ravi Shankar Prasad, Jitendra Kumar Singh, et al.
Energy Nexus (2022) Vol. 7, pp. 100136-100136
Open Access | Times Cited: 21
Biodegradable waste-derived biodiesel as a potential green fuel: Optimization of production process and its application in diesel engine
R. Manimaran, Thangavelu Mohanraj, S. Prabakaran
Industrial Crops and Products (2022) Vol. 192, pp. 116078-116078
Closed Access | Times Cited: 21
Prediction and optimization of emission in an agricultural harvest engine with biodiesel-diesel blends by a method of ANN and CMA-ES
Bowen Zheng, Jy Chen, Zhenghe Song, et al.
Computers and Electronics in Agriculture (2022) Vol. 197, pp. 106903-106903
Closed Access | Times Cited: 20
Bio-oil yield maximization and characteristics of neem based biomass at optimum conditions along with feasibility of biochar through pyrolysis
Yashvir Singh, Nishant Kumar Singh, Abhishek Sharma, et al.
AIP Advances (2024) Vol. 14, Iss. 8
Open Access | Times Cited: 4
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