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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:

Optimization based comparative study of machine learning methods for the prediction of bio-oil produced from microalgae via pyrolysis
Hafeez Ullah, Zeeshan Haq, Salman Raza Naqvi, et al.
Journal of Analytical and Applied Pyrolysis (2023) Vol. 170, pp. 105879-105879
Closed Access | Times Cited: 32

Showing 1-25 of 32 citing articles:

Machine learning prediction of bio-oil production from the pyrolysis of lignocellulosic biomass: Recent advances and future perspectives
Hyojin Lee, Il-Ho Choi, Kyung-Ran Hwang
Journal of Analytical and Applied Pyrolysis (2024) Vol. 179, pp. 106486-106486
Open Access | Times Cited: 9
Microwave-assisted In-situ catalytic co-pyrolysis of polypropylene and polystyrene mixtures: Response surface methodology analysis using machine learning
Dinesh Kamireddi, Avinash Terapalli, V. Sridevi, et al.
Journal of Analytical and Applied Pyrolysis (2023) Vol. 172, pp. 105984-105984
Closed Access | Times Cited: 19
From Microalgae to Bioenergy: Recent Advances in Biochemical Conversion Processes
Sheetal Kishor Parakh, Zinong Tian, Jonathan Zhi En Wong, et al.
Fermentation (2023) Vol. 9, Iss. 6, pp. 529-529
Open Access | Times Cited: 18
Sustainable hydrogen production via microalgae: Technological advancements, economic indicators, environmental aspects, challenges, and policy implications
Hafiz Muhammad Uzair Ayub, Muhammad Nizami, Muhammad Abdul Qyyum, et al.
Environmental Research (2023) Vol. 244, pp. 117815-117815
Closed Access | Times Cited: 17
Torrefied biomass quality prediction and optimization using machine learning algorithms
Muhammad Naveed, Jawad Gul, Muhammad Nouman Aslam Khan, et al.
Chemical Engineering Journal Advances (2024) Vol. 19, pp. 100620-100620
Open Access | Times Cited: 6
Machine learning to predict the production of bio-oil, biogas, and biochar by pyrolysis of biomass: a review
Kapil Khandelwal, Sonil Nanda, Ajay K. Dalai
Environmental Chemistry Letters (2024)
Closed Access | Times Cited: 6
Aging prediction in single based propellants using hybrid strategy of machine learning and genetic algorithm
Faizan Khalid, Muhammad Nouman Aslam, Muhammad Abdaal Ghani, et al.
Chemometrics and Intelligent Laboratory Systems (2024) Vol. 245, pp. 105058-105058
Closed Access | Times Cited: 5
A data-driven multi-objective optimization approach for enhanced methanol yield and exergy loss minimization in direct hydrogenation of CO2
Abdul Samad, Husnain Saghir, Abdul Musawwir, et al.
Applied Thermal Engineering (2024) Vol. 251, pp. 123517-123517
Closed Access | Times Cited: 5
Machine learning in microalgae biotechnology for sustainable biofuel production: Advancements, applications, and prospects
Chao‐Tung Yang, Endah Kristiani, Yoong Kit Leong, et al.
Bioresource Technology (2024), pp. 131549-131549
Closed Access | Times Cited: 5
Co-pyrolysis of biomass and plastic wastes and application of machine learning for modelling of the process: A comprehensive review
Deepak Bhushan, Sanjeevani Hooda, Prasenjit Mondal
Journal of the Energy Institute (2025) Vol. 119, pp. 101973-101973
Closed Access
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
Hydrogen production from the steam gasification of hydrochar: A multi-output machine learning approach integrated with metaheuristic algorithms
Zeeshan Haq, Sanusi B. Akintunde, Shakirudeen A. Salaudeen
International Journal of Hydrogen Energy (2025) Vol. 116, pp. 230-241
Open Access
Critical assessment of machine learning prediction of biomass pyrolysis
Antonio Elia Pascarella, Antonio Coppola, Stefano Marrone, et al.
Fuel (2025) Vol. 394, pp. 135000-135000
Open Access
Prediction and optimization of exergetic efficiency of reactive units of a petroleum refinery under uncertainty through artificial neural network-based surrogate modeling
Abdul Samad, Iftikhar Ahmad, Manabu Kano, et al.
Process Safety and Environmental Protection (2023) Vol. 177, pp. 1403-1414
Closed Access | Times Cited: 15
Study on waste tire pyrolysis product characteristics based on machine learning
Jingwei Qi, Kaihong Zhang, Ming Hu, et al.
Journal of environmental chemical engineering (2023) Vol. 11, Iss. 6, pp. 111314-111314
Closed Access | Times Cited: 13
Economic analysis of global microalgae biomass energy potential
Shuo Yuan, Wenbin Lei, Yu Cen, et al.
The Science of The Total Environment (2023) Vol. 899, pp. 165596-165596
Closed Access | Times Cited: 12
Prediction of phenol yield by machine learning based on biomass characteristics, pyrolysis conditions, and catalyst properties
Panru Yang, Benhang Xie, Minghong Wang, et al.
Energy Conversion and Management (2024) Vol. 320, pp. 119001-119001
Closed Access | Times Cited: 4
Using Particle Swarm Optimization and Artificial Intelligence to Select the Appropriate Characteristics to Determine Volume Fraction in Two-Phase Flows
Abdullah M. Iliyasu, Abdallah Benselama, Dakhkilgova Kamila Bagaudinovna, et al.
Fractal and Fractional (2023) Vol. 7, Iss. 4, pp. 283-283
Open Access | Times Cited: 11
Deep Learning Aided Multi-Objective Optimization and Multi-Criteria Decision Making in Thermal Cracking Process for Olefines Production
Seyed Reza Nabavi, Mohammad Javad Jafari, Zhiyuan Wang
Journal of the Taiwan Institute of Chemical Engineers (2023) Vol. 152, pp. 105179-105179
Closed Access | Times Cited: 10
Precise prognostics of biochar yield from various biomass sources by Bayesian approach with supervised machine learning and ensemble methods
Van Giao Nguyen, Prabhakar Sharma, Ümit Ağbulut, et al.
International Journal of Green Energy (2023) Vol. 21, Iss. 9, pp. 2180-2204
Closed Access | Times Cited: 9
Prediction of volatile composition of coal pyrolysis under various swelling and catalytic conditions based on recurrent neural network
Duo Ma, Qiuxiang Yao, Yongqi Liu, et al.
Journal of Analytical and Applied Pyrolysis (2023) Vol. 175, pp. 106187-106187
Closed Access | Times Cited: 8
Prediction of product properties and identification of key influencing parameters in microwave pyrolysis of microalgae using machine learning
Cheng Hou, Xinnan Zheng, Yuanbo Song, et al.
Algal Research (2024) Vol. 82, pp. 103662-103662
Closed Access | Times Cited: 2
Prediction of product yields from lignocellulosic biomass pyrolysis based on gaussian process regression
Longfei Li, Zhongyang Luo, Feiting Miao, et al.
Journal of Analytical and Applied Pyrolysis (2023) Vol. 177, pp. 106295-106295
Open Access | Times Cited: 7
Prediction of bio-oil yield by machine learning model based on 'enhanced data' training
Chenxi Zhao, Xueying Lu, Zihao Jiang, et al.
Renewable Energy (2024) Vol. 225, pp. 120218-120218
Closed Access | Times Cited: 2
Predicting the adsorption of ammonia nitrogen by biochar in water bodies using machine learning strategies: model optimization and analysis of key characteristic variables
Xie Guixian, Chi Zhu, Chen Li, et al.
Environmental Research (2024), pp. 120618-120618
Closed Access | Times Cited: 2
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