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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:

Process modelling integrated with interpretable machine learning for predicting hydrogen and char yield during chemical looping gasification
Arnold E. Sison, Sydney A. Etchieson, Fatih Güleç, et al.
Journal of Cleaner Production (2023) Vol. 414, pp. 137579-137579
Open Access | Times Cited: 19

Showing 19 citing articles:

Exploring forest fire susceptibility and management strategies in Western Himalaya: Integrating ensemble machine learning and explainable AI for accurate prediction and comprehensive analysis
Hoang Thi Hang, Javed Mallick, Saeed Alqadhi, et al.
Environmental Technology & Innovation (2024) Vol. 35, pp. 103655-103655
Open Access | Times Cited: 18
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: 14
Synthesis, delineation and technological advancements of algae biochar for sustainable remediation of the emerging pollutants from wastewater-a review
Gour Gopal Satpati, Anuradha Devi, Debajyoti Kundu, et al.
Environmental Research (2024) Vol. 258, pp. 119408-119408
Closed Access | Times Cited: 14
Bayesian Hyperparameter Optimization of Machine Learning Models for Predicting Biomass Gasification Gases
Pınar Cihan
Applied Sciences (2025) Vol. 15, Iss. 3, pp. 1018-1018
Open Access | Times Cited: 1
Exploring Insights in Biomass and Waste Gasification via Ensemble Machine Learning Models and Interpretability Techniques
Ocident Bongomin, Charles Nzila, Josphat Igadwa Mwasiagi, et al.
International Journal of Energy Research (2024) Vol. 2024, Iss. 1
Open Access | Times Cited: 8
Machine Learning for Chemical Looping: Recent Advances and Prospects
Yiwen Song, Shenglong Teng, Diyan Fang, et al.
Energy & Fuels (2024) Vol. 38, Iss. 13, pp. 11541-11561
Closed Access | Times Cited: 6
Modelling and optimization of sorption-enhanced biomass chemical looping gasification coupling with hydrogen generation system based on neural network and genetic algorithm
Xudong Wang, Sheng Wang, Baosheng Jin, et al.
Chemical Engineering Journal (2023) Vol. 473, pp. 145303-145303
Closed Access | Times Cited: 15
Navigating challenges and opportunities of machine learning in hydrogen catalysis and production processes: beyond algorithm development
Mohd Nur Ikhmal Salehmin, Tiong Sieh Kiong, Hassan Mohamed, et al.
Journal of Energy Chemistry (2024) Vol. 99, pp. 223-252
Closed Access | Times Cited: 6
Traceability analysis of wastewater in coal to ethylene glycol process based on dynamic simulation and deep learning
Zhe Cui, Yang Sun, Zhe Li, et al.
Journal of Cleaner Production (2024) Vol. 443, pp. 141133-141133
Closed Access | Times Cited: 5
Can biomass structural composition be predicted from a small dataset using a hybrid deep learning approach?
Jude A. Okolie
Industrial Crops and Products (2023) Vol. 203, pp. 117191-117191
Closed Access | Times Cited: 13
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: 13
Co-pyrolysis of coal-derived sludge and low-rank coal: Thermal behaviour and char yield prediction
Tianli Zhang, Chenxu Zhang, Hai‐Peng Ren, et al.
Fuel Processing Technology (2024) Vol. 267, pp. 108165-108165
Open Access | Times Cited: 4
Efficient process optimization for a circular economy by full flowsheet neural networks
Ville Kärkäs, Tim Kircher, Maximilian Hungsberg, et al.
Chemical Engineering Science (2025), pp. 121784-121784
Closed Access
Prediction of Biomass Chemical Looping Gasification Performance Using the Extra Tree Ensemble Model
Kai Xu, Shoufeng Cao, Ping Zhong, et al.
Energy & Fuels (2025)
Closed Access
Hydrogen Enhancement in Syngas Through Biomass Steam Gasification: Assessment with Machine Learning Models
Yunye Shi, Diego Mauricio Yepes Maya, Electo Eduardo Silva Lora, et al.
Energies (2025) Vol. 18, Iss. 5, pp. 1200-1200
Open Access
Selection of oxygen carrier for chemical looping combustion of natural gas and syngas fuels – A machine learning approach
Bilal Ahmed, Atta Ullah, Rehan Zubair Khalid, et al.
Energy Conversion and Management (2025) Vol. 332, pp. 119745-119745
Closed Access
Integration of supervised machine learning for predictive evaluation of chemical looping hydrogen production and storage system
Renge Li, Jimin Zeng, Yintao Wei, et al.
Sustainable Energy & Fuels (2024)
Closed Access | Times Cited: 2
Forecasting gasification sustainability through enhanced K-nearest neighbour models for hydrogen and nitrogen amount
Feng Du
Chemical Product and Process Modeling (2024) Vol. 19, Iss. 5, pp. 689-712
Closed Access
A Review of Model Predictive Control in Precision Agriculture
Erion Bwambale, Joshua Wanyama, Thomas Apusiga Adongo, et al.
Smart Agricultural Technology (2024), pp. 100716-100716
Open Access
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