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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:

An integrated framework of data-driven, metaheuristic, and mechanistic modeling approach for biomass pyrolysis
Zahid Ullah, Muzammil Khan, Salman Raza Naqvi, et al.
Process Safety and Environmental Protection (2022) Vol. 162, pp. 337-345
Closed Access | Times Cited: 41

Showing 1-25 of 41 citing articles:

Applications of machine learning in thermochemical conversion of biomass-A review
Muzammil Khan, Salman Raza Naqvi, Zahid Ullah, et al.
Fuel (2022) Vol. 332, pp. 126055-126055
Closed Access | Times Cited: 137
Machine-learning-aided thermochemical treatment of biomass: a review
Hailong Li, Jiefeng Chen, Weijin Zhang, et al.
Biofuel Research Journal (2023) Vol. 10, Iss. 1, pp. 1786-1809
Open Access | Times Cited: 87
Co-pyrolysis of lignocellulosic biomass with other carbonaceous materials: A review on advance technologies, synergistic effect, and future prospectus
Wei‐Hsin Chen, C. Naveen, Praveen Kumar Ghodke, et al.
Fuel (2023) Vol. 345, pp. 128177-128177
Open Access | Times Cited: 62
Recent advances and future prospects of thermochemical biofuel conversion processes with machine learning
Pil Rip Jeon, Jong-Ho Moon, Nafiu Olanrewaju Ogunsola, et al.
Chemical Engineering Journal (2023) Vol. 471, pp. 144503-144503
Open Access | Times Cited: 39
Generative AI and process systems engineering: The next frontier
Benjamin Decardi‐Nelson, Abdulelah S. Alshehri, Akshay Ajagekar, et al.
Computers & Chemical Engineering (2024) Vol. 187, pp. 108723-108723
Open Access | Times Cited: 19
Hydrogen production optimization from sewage sludge supercritical gasification process using machine learning methods integrated with genetic algorithm
Zeeshan Haq, Hafeez Ullah, Muhammad Nouman Aslam Khan, et al.
Process Safety and Environmental Protection (2022) Vol. 184, pp. 614-626
Closed Access | Times Cited: 57
Applications of artificial intelligence in anaerobic co-digestion: Recent advances and prospects
Muzammil Khan, Wachiranon Chuenchart, K.C. Surendra, et al.
Bioresource Technology (2022) Vol. 370, pp. 128501-128501
Open Access | Times Cited: 49
Comparative study of machine learning methods integrated with genetic algorithm and particle swarm optimization for bio-char yield prediction
Zeeshan Haq, Hafeez Ullah, Muhammad Nouman Aslam Khan, et al.
Bioresource Technology (2022) Vol. 363, pp. 128008-128008
Closed Access | Times Cited: 40
Catalytic pyrolysis of rice husk over defect-rich beta zeolites for biofuel production
Ali Azfar Zaidi, Arslan Khan, Hamad AlMohamadi, et al.
Fuel (2023) Vol. 348, pp. 128624-128624
Closed Access | Times Cited: 22
A renewable and sustainable framework for clean fuel towards circular economy for solid waste generation in leather tanneries
Arshid Mahmood Ali, Arslan Khan, Muhammad Shahbaz, et al.
Fuel (2023) Vol. 351, pp. 128962-128962
Closed Access | Times Cited: 22
Hydrogen production from plastic waste: A comprehensive simulation and machine learning study
Mohammad Lahafdoozian, Hossein Khoshkroudmansouri, Sharif H. Zein, et al.
International Journal of Hydrogen Energy (2024) Vol. 59, pp. 465-479
Open Access | Times Cited: 10
A hybrid approach combining mechanism-guided data augmentation and machine learning for biomass pyrolysis
Peng Jiang, Jing Fan, Lin Li, et al.
Chemical Engineering Science (2024) Vol. 296, pp. 120227-120227
Closed Access | Times Cited: 8
Biomass to Energy — an Analysis of Current Technologies, Prospects, and Challenges
Nilanjana Banerjee
BioEnergy Research (2022) Vol. 16, Iss. 2, pp. 683-716
Closed Access | Times Cited: 29
Multi-variable assessment/optimization of a new two-source multigeneration system integrated with a solid oxide fuel cell
Lifang Tian, Zongguo Zhang, Bashir Salah, et al.
Process Safety and Environmental Protection (2023) Vol. 179, pp. 754-773
Closed Access | Times Cited: 20
Prediction of three-phase product yield of biomass pyrolysis using artificial intelligence-based models
Danah Ruth Cahanap, Javad Mohammadpour, Salman Jalalifar, et al.
Journal of Analytical and Applied Pyrolysis (2023) Vol. 172, pp. 106015-106015
Closed Access | Times Cited: 17
Estimation of fast pyrolysis product yields of different biomasses by artificial neural networks
İsmail Veli Sezgin, Hasan Merdun
Process Safety and Environmental Protection (2025)
Closed Access
Predictive modelling of Biomass Pyrolysis: Product Estimation Using Thermogravimetry, Mass Balance, and Empirical Correlations
Rafael D. Gómez-Vásquez, Carlos A. Marenco-Porto, Luis G. Riveros-Almanza, et al.
Results in Engineering (2025), pp. 104071-104071
Open Access
A many-objective surrogate optimization model driven by hybrid pilot-test data, molecular reconstruction, and crude oil direct cracking reaction mechanism
Xin Zhou, Zhibo Zhang, Changyuan Wang, et al.
Chemical Engineering Journal (2025), pp. 160389-160389
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
Machine learning algorithms for supporting life cycle assessment studies: An analytical review
Bijay Neupane, Farouk Belkadi, Marco Formentini, et al.
Sustainable Production and Consumption (2025)
Open Access
Prediction of optimum operating conditions of a furnace under uncertainty: An integrated framework of artificial neural network and genetic algorithm
Muzammil Khan, Iftikhar Ahmad, Muhammad Ahsan, et al.
Fuel (2022) Vol. 330, pp. 125563-125563
Closed Access | Times Cited: 19
Economic, environmental and multi objective optimization of a clean tri-generation system based co-firing of natural gas and biomass: An emergy evaluation
Haofeng Lin, Ibrahim B. Mansir, Hawzhen Fateh M. Ameen, et al.
Process Safety and Environmental Protection (2023) Vol. 173, pp. 289-303
Closed Access | Times Cited: 10
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: 3
Frameworks for the application of machine learning in life cycle assessment for process modeling
Nicolás Martínez-Ramón, Fernando Calvo-Rodríguez, Diego Iribarren, et al.
Cleaner Environmental Systems (2024) Vol. 14, pp. 100221-100221
Open Access | Times Cited: 3
A two-step hybrid multi-criteria approach to analyze the significance of parameters affecting microwave-assisted pyrolysis
Kocherlakota Satya Pritam, Harish Puppala, Sridhar Palla, et al.
Process Safety and Environmental Protection (2023) Vol. 171, pp. 975-985
Closed Access | Times Cited: 8
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