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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:

Interpretable machine-learning model with a collaborative game approach to predict yields and higher heating value of torrefied biomass
Thossaporn Onsree, Nakorn Tippayawong, Santi Phithakkitnukoon, et al.
Energy (2022) Vol. 249, pp. 123676-123676
Closed Access | Times Cited: 55

Showing 1-25 of 55 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: 142
Energy digitalization: Main categories, applications, merits, and barriers
A.G. Olabi, Mohammad Ali Abdelkareem, Hussam Jouhara
Energy (2023) Vol. 271, pp. 126899-126899
Closed Access | Times Cited: 52
Machine learning-driven optimization of pretreatment and enzymatic hydrolysis of sugarcane bagasse: Analytical insights for industrial scale-up
Salauddin Al Azad, Meysam Madadi, Ashfaque Rahman, et al.
Fuel (2025) Vol. 390, pp. 134682-134682
Closed Access | Times Cited: 5
Biomass microwave pyrolysis characterization by machine learning for sustainable rural biorefineries
Yadong Yang, Hossein Shahbeik, Alireza Shafizadeh, et al.
Renewable Energy (2022) Vol. 201, pp. 70-86
Closed Access | Times Cited: 54
Exposing and understanding synergistic effects in co-pyrolysis of biomass and plastic waste via machine learning
Prapaporn Prasertpong, Thossaporn Onsree, Nattawut Khuenkaeo, et al.
Bioresource Technology (2022) Vol. 369, pp. 128419-128419
Closed Access | Times Cited: 50
Machine learning and statistical analysis for biomass torrefaction: A review
Kanit Manatura, Benjapon Chalermsinsuwan, Napat Kaewtrakulchai, et al.
Bioresource Technology (2022) Vol. 369, pp. 128504-128504
Closed Access | Times Cited: 42
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: 42
Interpretable Machine‐Learning and Big Data Mining to Predict Gas Diffusivity in Metal‐Organic Frameworks
Shuya Guo, Xiaoshan Huang, Yizhen Situ, et al.
Advanced Science (2023) Vol. 10, Iss. 21
Open Access | Times Cited: 39
Prediction of HHV of fuel by Machine learning Algorithm: Interpretability analysis using Shapley Additive Explanations (SHAP)
Manish Sharma Timilsina, Subhadip Sen, Bibek Uprety, et al.
Fuel (2023) Vol. 357, pp. 129573-129573
Closed Access | Times Cited: 34
Predicting biomass composition and operating conditions in fluidized bed biomass gasifiers: An automated machine learning approach combined with cooperative game theory
Jun Young Kim, Ui Hyeon Shin, Kwangsu Kim
Energy (2023) Vol. 280, pp. 128138-128138
Closed Access | Times Cited: 27
Biochar production and its environmental applications: Recent developments and machine learning insights
Kolli Venkata Supraja, Himanshu Kachroo, Gayatri Viswanathan, et al.
Bioresource Technology (2023) Vol. 387, pp. 129634-129634
Closed Access | Times Cited: 26
Improving soil moisture prediction with deep learning and machine learning models
Fitsum T. Teshome, Haimanote K. Bayabil, Bruce Schaffer, et al.
Computers and Electronics in Agriculture (2024) Vol. 226, pp. 109414-109414
Closed Access | Times Cited: 13
Biochar energy prediction from different biomass feedstocks for clean energy generation
Nikhil Pachauri, Chang Wook Ahn, Tae Jong Choi
Environmental Technology & Innovation (2025), pp. 104012-104012
Open Access | Times Cited: 1
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
Viscosity and melting temperature prediction of mold fluxes based on explainable machine learning and SHapley additive exPlanations
Wei Yan, Yangyang Shen, Shoujie Chen, et al.
Journal of Non-Crystalline Solids (2024) Vol. 636, pp. 123037-123037
Closed Access | Times Cited: 7
Multiobjective Bayesian Optimization Framework for the Synthesis of Methanol from Syngas Using Interpretable Gaussian Process Models
Avan Kumar, Kamal K. Pant, Sreedevi Upadhyayula, et al.
ACS Omega (2022) Vol. 8, Iss. 1, pp. 410-421
Open Access | Times Cited: 25
Prediction of arabica coffee production using artificial neural network and multiple linear regression techniques
Yotsaphat Kittichotsatsawat, Nakorn Tippayawong, Korrakot Yaibuathet Tippayawong
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 21
Forecasting soybean oil extraction using cyclopentyl methyl ether through soft computing models with a density functional theory study
Henrique Gasparetto, Ana Carolina Ferreira Piazzi Fuhr, Nina Paula Gonçalves Salau
Journal of Industrial and Engineering Chemistry (2023) Vol. 123, pp. 297-310
Closed Access | Times Cited: 13
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
Machine learning for predicting catalytic ammonia decomposition: An approach for catalyst design and performance prediction
Wenjuan Guo, Alireza Shafizadeh, Hossein Shahbeik, et al.
Journal of Energy Storage (2024) Vol. 89, pp. 111688-111688
Closed Access | Times Cited: 4
A deep learning-aided multi-objective optimization of a downstream process for production of monoclonal antibody products
Md Nasre Alam, Anupa Anupa, Hariprasad Kodamana, et al.
Biochemical Engineering Journal (2024) Vol. 208, pp. 109357-109357
Closed Access | Times Cited: 4
Harnessing Biomass Energy: Advancements through Machine Learning and AI Applications for Sustainability and Efficiency
B. Deepanraj, Prabhakar Sharma, Bhaskor Jyoti Bora, et al.
Process Safety and Environmental Protection (2024) Vol. 191, pp. 193-205
Closed Access | Times Cited: 4
Pyrolyzed Agro-Food By-Products: A Sustainable Alternative to Coal
Lukáš Jeníček, Jan Malaťák, Jan Velebil, et al.
Materials (2025) Vol. 18, Iss. 7, pp. 1495-1495
Open Access
Deterministic Models for Performance Analysis of Lignocellulosic Biomass Torrefaction
Abbas Azarpour, Sohrab Zendehboudi, Noori M. Cata Saady
ACS Omega (2025) Vol. 10, Iss. 7, pp. 6470-6501
Open Access
Experimental simulation and analysis of Acacia Nilotica biomass gasification with XGBoost and SHapley Additive Explanations to determine the importance of key features
Prabhu Paramasivam, Mansoor Alruqi, Ümit Ağbulut
Energy (2025), pp. 136291-136291
Closed Access
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