Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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 hydrogen yield from supercritical gasification process of sewage sludge using machine learning and particle swarm hybrid strategy
Muhammad Nouman Aslam Khan, Zeeshan Haq, Hafeez Ullah, et al.
International Journal of Hydrogen Energy (2023) Vol. 54, pp. 512-525
Closed Access | Times Cited: 38

Showing 1-25 of 38 citing articles:

Environmental life cycle assessment of biomass conversion using hydrothermal technology: A review
Farihahusnah Hussin, Nur Nadira Hazani, Munawar Khalil, et al.
Fuel Processing Technology (2023) Vol. 246, pp. 107747-107747
Closed Access | Times Cited: 60
A comprehensive review of AI-enhanced smart grid integration for hydrogen energy: Advances, challenges, and future prospects
Morteza SaberiKamarposhti, Hesam Kamyab, Santhana Krishnan, et al.
International Journal of Hydrogen Energy (2024) Vol. 67, pp. 1009-1025
Closed Access | Times Cited: 50
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: 8
Supercritical water gasification for hospital wastewater
Rich Jhon Paul Latiza, Rugi Vicente C. Rubi, Armando T. Quitain
Journal of Hazardous Materials Advances (2025), pp. 100651-100651
Open Access | Times Cited: 1
Organic catalysts for hydrogen production from noodle wastewater: Machine learning and deep learning-based analysis
Shadma Tasneem, Abeer Ali Ageeli, Waleed M. Alamier, et al.
International Journal of Hydrogen Energy (2023) Vol. 52, pp. 599-616
Closed Access | Times Cited: 20
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: 18
Automated machine learning-aided prediction and interpretation of gaseous by-products from the hydrothermal liquefaction of biomass
Weijin Zhang, Zejian Ai, Qingyue Chen, et al.
The Science of The Total Environment (2024) Vol. 945, pp. 173939-173939
Closed Access | Times Cited: 5
Data-driven interpretation, comparison and optimization of hydrogen production from supercritical water gasification of biomass and polymer waste: Applying ensemble and differential evolution in machine learning algorithms
Sahand Azadvar, Omid Tavakoli
International Journal of Hydrogen Energy (2024) Vol. 85, pp. 511-525
Closed Access | Times Cited: 5
Obtaining high H2-rich syngas yield and carbon conversion efficiency from biomass gasification: From characterization to process optimization using machine learning with experimental validation
Kaushik Kundu, Avan Kumar, Hariprasad Kodamana, et al.
Fuel (2024) Vol. 378, pp. 132931-132931
Closed Access | Times Cited: 5
Integrated Photonic Neural Networks for Equalizing Optical Communication Signals: A Review
Luís C. B. Silva, Pablo Rafael Neves Marciano, Maria Pontes, et al.
Photonics (2025) Vol. 12, Iss. 1, pp. 39-39
Open Access
An Insight into the Application and Progress of Artificial Intelligence in the Hydrogen Production Industry: A Review
Mostafa Jamali, Najmeh Hajialigol, Abolfazl Fattahi
Materials Today Sustainability (2025), pp. 101098-101098
Open Access
Review of machine learning techniques for energy sharing and biomass waste gasification pathways in integrating solar greenhouses into smart energy systems
Navid Mahdavi, Animesh Dutta, Syeda Humaira Tasnim, et al.
Energy and AI (2025), pp. 100498-100498
Open 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
Algae’s potential as a bio-mass source for bio-fuel production: MLR vs. ANN models analyses
Wendell de Queiróz Lamas
Fuel (2025) Vol. 395, pp. 134853-134853
Closed Access
A review on green hydrogen production pathways and optimization techniques
S. Shanmugasundaram, Thangaraja Jeyaseelan, Sundararajan Rajkumar, et al.
Process Safety and Environmental Protection (2025), pp. 107070-107070
Closed Access
How Should AI Technique Support Wastewater Treatment and Sludge Management? A Case Study from Mongolia
Richao Cong, T Oyunchimeg, Atsushi FUJIYAMA, et al.
(2025), pp. 479-493
Closed Access
Bio-hydrogen production from the photocatalytic conversion of wastewater: Parametric analysis and data-driven modelling using nonlinear autoregressive with exogeneous input and back-propagated multilayer perceptron neural networks
Ramesh Kanthasamy, Imtiaz Ali, Bamidele Victor Ayodele, et al.
Fuel (2023) Vol. 344, pp. 128026-128026
Closed Access | Times Cited: 12
A surrogate model for the economic evaluation of renewable hydrogen production from biomass feedstocks via supercritical water gasification
Sarah Rodgers, Alexander L. Bowler, Laura Wells, et al.
International Journal of Hydrogen Energy (2023) Vol. 49, pp. 277-294
Open Access | Times Cited: 12
Optimizing H2 production from biomass: A machine learning-enhanced model of supercritical water gasification dynamics
Chengwei Huang, Jialing Xu, Shuai Xu, et al.
Energy (2024), pp. 133490-133490
Closed Access | Times Cited: 4
Biomass gasification modeling based on physics-informed neural network with constrained particle swarm optimization.
Qihang Weng, Shaojun Ren, Baoyu Zhu, et al.
Energy (2025), pp. 135392-135392
Closed Access
Tailoring triple charge (O2−/H+/e−) conducting nature of Fe-based lanthanum doped samarium oxides for ceramic fuel cells (CFCs)
Muhammad Yousaf, Yuzheng Lu, Majid Niaz Akhtar, et al.
Fuel (2023) Vol. 349, pp. 128689-128689
Closed Access | Times Cited: 8
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
Experimental Investigation and Modelling by Machine Learning Techniques for Hydrogen Generation by Reacting Aluminium with Aqueous NaOH Solution
Biswajyoti Das, P. S. Robi, Pinakeswar Mahanta
Fuel (2023) Vol. 351, pp. 128924-128924
Closed Access | Times Cited: 7
Multi-objective genetic algorithm approach for enhanced cumulative hydrogen and methane-rich syngas emission through co-pyrolysis of de-oiled microalgae and coal blending
Shweta Rawat, Lokesh Wagadre, Sanjay Kumar
Renewable Energy (2024) Vol. 225, pp. 120264-120264
Closed Access | Times Cited: 2
The state of the art in biosolids gasification
Anthoula Manali, Aikaterini Pothoulaki, Petros Gikas
Journal of Environmental Management (2024) Vol. 364, pp. 121385-121385
Closed Access | Times Cited: 2
Page 1 - Next Page

Scroll to top