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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:

Development of multiple machine-learning computational techniques for optimization of heterogenous catalytic biodiesel production from waste vegetable oil
Walid Kamal Abdelbasset, Safaa M. Elkholi, Maria Jade Catalan Opulencia, et al.
Arabian Journal of Chemistry (2022) Vol. 15, Iss. 6, pp. 103843-103843
Open Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

Development of advanced machine learning models for optimization of methyl ester biofuel production from papaya oil: Gaussian process regression (GPR), multilayer perceptron (MLP), and K-nearest neighbor (KNN) regression models
Abdulrahman Sumayli
Arabian Journal of Chemistry (2023) Vol. 16, Iss. 7, pp. 104833-104833
Open Access | Times Cited: 38
Optimizing biodiesel production from waste with computational chemistry, machine learning and policy insights: a review
Ahmed I. Osman, Mahmoud Nasr, Mohamed Farghali, et al.
Environmental Chemistry Letters (2024) Vol. 22, Iss. 3, pp. 1005-1071
Open Access | Times Cited: 34
Investigation and optimization of biodiesel production based on multiple machine learning technologies
Xin Jin, Shi‐Hao Li, Haoran Ye, et al.
Fuel (2023) Vol. 348, pp. 128546-128546
Closed Access | Times Cited: 19
Artificial Neural Network and Response Surface Methodology for Predicting and Maximizing Biodiesel Production from Waste Oil with KI/CaO/Al2O3 Catalyst in a Fixed Bed Reactor
Vorrada Loryuenyong, Sitifatimah Rohing, Papatsara Singhanam, et al.
ChemPlusChem (2024)
Closed Access | Times Cited: 7
Application of computational technologies for transesterification of waste cooking oil into biodiesel
Omojola Awogbemi, Dawood Desai
Biomass and Bioenergy (2025) Vol. 194, pp. 107620-107620
Open Access
MACHINE LEARNING-BASED PREDICTIVE MODELLING OF BIODIESEL PRODUCTION FROM ANIMAL FATS CATALYSED BY A BLAST FURNACE SLAG GEOPOLYMER
Pascal Mwenge, Hilary Rutto
Results in Engineering (2025), pp. 104126-104126
Open Access
Enhancing sustainability integration in Sustainable Enterprise Resource Planning (S-ERP) system: Application of Transaction Cost Theory and case study analysis
Kushal Anjaria
International Journal of Information Management Data Insights (2024) Vol. 4, Iss. 2, pp. 100243-100243
Open Access | Times Cited: 4
Machine Learning-Based Assessment of the Influence of Nanoparticles on Biodiesel Engine Performance and Emissions: A critical review
Chetan Pawar, B Shreeprakash, Beekanahalli Mokshanatha, et al.
Archives of Computational Methods in Engineering (2024)
Closed Access | Times Cited: 4
The prediction of biodiesel production yield from transesterification of vegetable oils with Machine learning
Pirapat Arunyanart, Lida Simasatitkul, Pachara Juyploy, et al.
Results in Engineering (2024), pp. 103236-103236
Open Access | Times Cited: 3
Novel and robust machine learning model to optimize biodiesel production from algal oil using CaO and CaO/Al2O3 as catalyst: Sustainable green energy
Yan Liu, Biju Theruvil Sayed, R. Sivaraman, et al.
Environmental Technology & Innovation (2023) Vol. 30, pp. 103018-103018
Open Access | Times Cited: 10
Synthesis and application of biomass-derived magnetic biochar catalyst for simultaneous esterification and trans-esterification of waste cooking oil into biodiesel: modeling and optimization
Samuel Latebo Majamo, Temesgen Abeto Amibo, Tesfaye Kassaw Bedru
Materials for Renewable and Sustainable Energy (2023) Vol. 12, Iss. 2, pp. 147-158
Open Access | Times Cited: 10
Enhancing waste cooking oil biodiesel yield and characteristics through machine learning, response surface methodology, and genetic algorithms for optimal utilization in CI engines
Aqueel Ahmad, Ashok Kumar Yadav, Achhaibar Singh
International Journal of Green Energy (2023) Vol. 21, Iss. 6, pp. 1345-1365
Closed Access | Times Cited: 10
Nanoarchitectonics: the role of artificial intelligence in the design and application of nanoarchitectures
L. R. Oviedo, V. R. Oviedo, Mirkos Ortiz Martins, et al.
Journal of Nanoparticle Research (2022) Vol. 24, Iss. 8
Closed Access | Times Cited: 16
Theoretical investigation on optimization of biodiesel production using waste cooking oil: Machine learning modeling and experimental validation
Abdulaziz Ibrahim Almohana, Sattam Fahad Almojil, Mohab Amin Kamal, et al.
Energy Reports (2022) Vol. 8, pp. 11938-11951
Open Access | Times Cited: 15
Computational simulation of mass transfer in membranes using hybrid machine learning models and computational fluid dynamics
Yi Liu, Yue Zhu, Dong Sheng Li, et al.
Case Studies in Thermal Engineering (2023) Vol. 47, pp. 103086-103086
Open Access | Times Cited: 8
Homogeneous and heterogeneous nanocatalytic systems for bioenergy and biofuel production
Rizwan Nasir, Mariam Ameen
Elsevier eBooks (2024), pp. 169-188
Closed Access | Times Cited: 2
Intelligent Chemometric Modelling of Al2O3 Supported Mixed Metal Oxide Catalysts for Oxidative Dehydrogenation of n-Butane Using Simple Features
Ridhwan Lawal, Hassan Alasiri, Abdullah Aitani, et al.
Reaction Chemistry & Engineering (2024) Vol. 9, Iss. 8, pp. 2226-2239
Closed Access | Times Cited: 1
Optimization of thermal biofuel production from biomass using CaO-based catalyst through different algorithm-based machine learning approaches
Jiang-Bo Tang, Ali Kareem Abbas, Nisar Ahmad Koka, et al.
Case Studies in Thermal Engineering (2023) Vol. 50, pp. 103419-103419
Open Access | Times Cited: 3
Application of CO2 Supercritical Fluid to Optimize the Solubility of Oxaprozin: Development of Novel Machine Learning Predictive Models
Saad M. Alshahrani, Ahmed Al Saqr, Munerah M. Alfadhel, et al.
Molecules (2022) Vol. 27, Iss. 18, pp. 5762-5762
Open Access | Times Cited: 6
Enhanced wastewater treatment by catalytic persulfate activation with protonated hydroxylamine-assisted iron: Insights from a deep learning-based numerical investigation
Krishna Kumar Yadav, Noureddine Elboughdiri, Abdelhalim Fetimi, et al.
Chemosphere (2024) Vol. 360, pp. 142367-142367
Closed Access
Exploring the performance and emission characteristics of a dual fuel CI engine using microalgae biodiesel and diesel blend: a machine learning approach using ANN and response surface methodology
Chandrabhushan Tiwari, Gaurav Dwivedi, Tikendra Nath Verma
Environment Development and Sustainability (2024)
Closed Access
Equilibrium Studies of Biodiesel Ethyl Esters Prepared with a Potassium Glyceroxide Catalyst
Kyle McGuff, D. K. Bradley, Minliang Yang, et al.
ACS Sustainable Resource Management (2024)
Closed Access
Optimal control approach for nonlinear chemical processes with uncertainty and application to a continuous stirred-tank reactor problem
Xiang Wu, Yuzhou Hou, Kanjian Zhang
Arabian Journal of Chemistry (2022) Vol. 15, Iss. 11, pp. 104257-104257
Open Access | Times Cited: 3
Computational estimation of drug’s concentration distribution through a microporous membrane using artificial intelligence approach
Bader Huwaimel, Tareq Nafea Alharby, Jowaher Alanazi, et al.
Journal of Molecular Liquids (2023) Vol. 380, pp. 121691-121691
Closed Access | Times Cited: 1
Computational simulation of organic pollutant removal from wastewater by different porous boron nitride (PBN) nanoclusters
Yin Lu, Ibrahem Waleed, Mohammed Al-Bahrani, et al.
Journal of Molecular Liquids (2023) Vol. 382, pp. 121850-121850
Closed Access | Times Cited: 1
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