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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:

Prediction of biodiesel production from microalgal oil using Bayesian optimization algorithm-based machine learning approaches
Nahid Sultana, S. M. Zakir Hossain, M. Abusaad, et al.
Fuel (2021) Vol. 309, pp. 122184-122184
Closed Access | Times Cited: 88

Showing 1-25 of 88 citing articles:

Artificial intelligence and machine learning tools for high-performance microalgal wastewater treatment and algal biorefinery: A critical review
Raj Kumar Oruganti, Alka Pulimoottil Biji, Tiamenla Lanuyanger, et al.
The Science of The Total Environment (2023) Vol. 876, pp. 162797-162797
Closed Access | Times Cited: 98
Review on machine learning-based bioprocess optimization, monitoring, and control systems
Partha Pratim Mondal, Abhinav Galodha, Vishal Verma, et al.
Bioresource Technology (2022) Vol. 370, pp. 128523-128523
Closed Access | Times Cited: 74
Development of lignocellulosic biorefineries for the sustainable production of biofuels: Towards circular bioeconomy
Aditya Yadav, Vishal Sharma, Mei‐Ling Tsai, et al.
Bioresource Technology (2023) Vol. 381, pp. 129145-129145
Closed Access | Times Cited: 72
Thermophysical profile of graphene oxide and MXene hybrid nanofluids for sustainable energy applications: Model prediction with a Bayesian optimized neural network with K-cross fold validation
Praveen Kumar Kanti, Prabhakar Sharma, Bhargavi Koneru, et al.
FlatChem (2023) Vol. 39, pp. 100501-100501
Closed Access | Times Cited: 52
Comprehensive overview of microalgae-derived carotenoids and their applications in diverse industries
Shaikh A. Razzak
Algal Research (2024) Vol. 78, pp. 103422-103422
Closed Access | Times Cited: 20
A review on machine learning approaches for microalgae cultivation systems
Tehreem Syed, Felix Krujatz, Yob Ihadjadene, et al.
Computers in Biology and Medicine (2024) Vol. 172, pp. 108248-108248
Open Access | Times Cited: 18
Biofuel production for circular bioeconomy: Present scenario and future scope
Yuanyao Ye, Wenshan Guo, Huu Hao Ngo, et al.
The Science of The Total Environment (2024) Vol. 935, pp. 172863-172863
Open Access | Times Cited: 18
Fueling sustainability: Co-pyrolysis of microalgae biomass and waste plastics for renewable energy and waste mitigation
Ahmad Nawaz, Hayat Ali Haddad, Mudasir Akbar Shah, et al.
Biomass and Bioenergy (2024) Vol. 187, pp. 107303-107303
Closed Access | Times Cited: 17
Machine learning approaches to modeling and optimization of biodiesel production systems: State of art and future outlook
Niyi B. Ishola, Emmanuel I. Epelle, Eriola Betiku
Energy Conversion and Management X (2024) Vol. 23, pp. 100669-100669
Open Access | Times Cited: 17
Cleaner biodiesel production from waste oils (cooking/vegetable/frying): Advances in catalytic strategies
Shaikh A. Razzak, S. M. Zakir Hossain, Usama Ahmed, et al.
Fuel (2025) Vol. 393, pp. 134901-134901
Closed Access | Times Cited: 3
Sustainable energies and machine learning: An organized review of recent applications and challenges
Pouya Ifaei, Morteza Nazari‐Heris, Amir Saman Tayerani Charmchi, et al.
Energy (2022) Vol. 266, pp. 126432-126432
Closed Access | Times Cited: 51
Application of machine learning algorithms in predicting the photocatalytic degradation of perfluorooctanoic acid
Amir Hossein Navidpour, Ahmad Hosseinzadeh, Zhenguo Huang, et al.
Catalysis Reviews (2022) Vol. 66, Iss. 2, pp. 687-712
Closed Access | Times Cited: 41
A survey on synthesis of compliant constant force/torque mechanisms
Jie Ling, Tingting Ye, Zhao Feng, et al.
Mechanism and Machine Theory (2022) Vol. 176, pp. 104970-104970
Closed Access | Times Cited: 41
Machine learning for microalgae detection and utilization
Hongwei Ning, Rui Li, Teng Zhou
Frontiers in Marine Science (2022) Vol. 9
Open Access | Times Cited: 41
Carbon capture, storage, and usage with microalgae: a review
Shweta Tripathi, Sonia Choudhary, Alok Meena, et al.
Environmental Chemistry Letters (2023) Vol. 21, Iss. 4, pp. 2085-2128
Closed Access | Times Cited: 39
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: 26
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: 23
Optimized biodiesel synthesis from an optimally formulated ternary feedstock blend via machine learning-informed methanolysis using a composite biobased catalyst
Andrew Nosakhare Amenaghawon, Melissa Osagbemwenorhue Omede, Glory Odoekpen Ogbebor, et al.
Bioresource Technology Reports (2024) Vol. 25, pp. 101805-101805
Closed Access | Times Cited: 14
Using machine learning models to estimate Escherichia coli concentration in an irrigation pond from water quality and drone-based RGB imagery data
Seok Min Hong, Billie J. Morgan, Matthew Stocker, et al.
Water Research (2024) Vol. 260, pp. 121861-121861
Open Access | Times Cited: 12
Simultaneously maximizing microalgal biomass and lipid productivities by machine learning driven modeling, global sensitivity analysis and multi-objective optimization for sustainable biodiesel production
Ravi Ranjan Kumar, Debasis Sarkar, Ramkrishna Sen
Applied Energy (2024) Vol. 358, pp. 122597-122597
Closed Access | Times Cited: 11
Microalgal biorefineries: Advancement in machine learning tools for sustainable biofuel production and value-added products recovery
S. Kavitha, Yukesh Kannah Ravi, Gopalakrishnan Kumar, et al.
Journal of Environmental Management (2024) Vol. 353, pp. 120135-120135
Closed Access | Times Cited: 11
Artificial Intelligence and/or Machine Learning Algorithms in Microalgae Bioprocesses
Esra İmamoğlu
Bioengineering (2024) Vol. 11, Iss. 11, pp. 1143-1143
Open Access | Times Cited: 9
Artificial intelligence-driven prediction models for the cultivation of Chlorella vulgaris FSP-E in food waste culture medium: A comparative analysis and validation of models
Adityas Agung Ramandani, Jun Wei Roy Chong, Sirasit Srinuanpan, et al.
Algal Research (2025), pp. 103935-103935
Closed Access | Times Cited: 1
Artificial Intelligence and Nature-Inspired Techniques on Optimal Biodiesel Production: A Review—Recent Trends
Christos Kyriklidis, Aikaterini Koutouvou, Κωνσταντίνος Μουστάκας, et al.
Energies (2025) Vol. 18, Iss. 4, pp. 768-768
Open Access | Times Cited: 1
Bayesian Optimization Algorithm-Based Statistical and Machine Learning Approaches for Forecasting Short-Term Electricity Demand
Nahid Sultana, S. M. Zakir Hossain, Salma Hamad Almuhaini, et al.
Energies (2022) Vol. 15, Iss. 9, pp. 3425-3425
Open Access | Times Cited: 31
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