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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.

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Showing 1-25 of 130 citing articles:

Artificial intelligence applications in solid waste management: A systematic research review
Mohamed Abdallah, Manar Abu Talib, Sainab Feroz, et al.
Waste Management (2020) Vol. 109, pp. 231-246
Closed Access | Times Cited: 326
A comprehensive review on hydrogen production from coal gasification: Challenges and Opportunities
Adnan Midilli, Haydar Küçük, Muhammed Emin Topal, et al.
International Journal of Hydrogen Energy (2021) Vol. 46, Iss. 50, pp. 25385-25412
Closed Access | Times Cited: 302
Application of machine learning methods for the prediction of organic solid waste treatment and recycling processes: A review
Haonan Guo, Shubiao Wu, Yingjie Tian, et al.
Bioresource Technology (2020) Vol. 319, pp. 124114-124114
Closed Access | Times Cited: 273
Application of machine learning in anaerobic digestion: Perspectives and challenges
Ianny Andrade Cruz, Wachiranon Chuenchart, Fei Long, et al.
Bioresource Technology (2021) Vol. 345, pp. 126433-126433
Open Access | Times Cited: 167
A Comparison of Regression Techniques for Estimation of Above-Ground Winter Wheat Biomass Using Near-Surface Spectroscopy
Jibo Yue, Haikuan Feng, Guijun Yang, et al.
Remote Sensing (2018) Vol. 10, Iss. 1, pp. 66-66
Open Access | Times Cited: 165
A comprehensive study on estimating higher heating value of biomass from proximate and ultimate analysis with machine learning approaches
Jiangkuan Xing, Kun Luo, Haiou Wang, et al.
Energy (2019) Vol. 188, pp. 116077-116077
Closed Access | Times Cited: 152
Application of machine learning algorithms in municipal solid waste management: A mini review
Wanjun Xia, Yan‐Ping Jiang, Xiaohong Chen, et al.
Waste Management & Research The Journal for a Sustainable Circular Economy (2021) Vol. 40, Iss. 6, pp. 609-624
Open Access | Times Cited: 133
Artificial intelligence applications for sustainable solid waste management practices in Australia: A systematic review
Lynda Andeobu, Santoso Wibowo, Srimannarayana Grandhi
The Science of The Total Environment (2022) Vol. 834, pp. 155389-155389
Closed Access | Times Cited: 117
Toward smarter management and recovery of municipal solid waste: A critical review on deep learning approaches
Kunsen Lin, Youcai Zhao, Jia‐Hong Kuo, et al.
Journal of Cleaner Production (2022) Vol. 346, pp. 130943-130943
Closed Access | Times Cited: 100
Artificial intelligence and machine learning tools for high-performance microalgal wastewater treatment and algal biorefinery: A critical review
Raj Kumar Oruganti, Alka Pulimoottil Biji, Tiamenla Lanuyanger, et al.
The Science of The Total Environment (2023) Vol. 876, pp. 162797-162797
Closed Access | Times Cited: 90
Intelligent approaches for sustainable management and valorisation of food waste
Zafar Said, Prabhakar Sharma, Quach Thi Bich Nhuong, et al.
Bioresource Technology (2023) Vol. 377, pp. 128952-128952
Open Access | Times Cited: 82
Recent application of Raman spectroscopy in tumor diagnosis: from conventional methods to artificial intelligence fusion
Yafeng Qi, Yuhong Liu, Jianbin Luo
PhotoniX (2023) Vol. 4, Iss. 1
Open Access | Times Cited: 58
Machine learning and multilayer perceptron enhanced CFD approach for improving design on latent heat storage tank
Yuanji Li, Xinyu Huang, Xiaoyong Huang, et al.
Applied Energy (2023) Vol. 347, pp. 121458-121458
Closed Access | Times Cited: 53
Understanding the cooling capacity and its potential drivers in urban forests at the single tree and cluster scales
Chengcong Wang, Zhibin Ren, Xinyue Chang, et al.
Sustainable Cities and Society (2023) Vol. 93, pp. 104531-104531
Closed Access | Times Cited: 50
Revolutionizing municipal solid waste management (MSWM) with machine learning as a clean resource: Opportunities, challenges and solutions
Muhammad Tajammal Munir, Bing Li, Muhammad Naqvi
Fuel (2023) Vol. 348, pp. 128548-128548
Closed Access | Times Cited: 48
Machine learning in construction and demolition waste management: Progress, challenges, and future directions
Yu Gao, Jiayuan Wang, Xiaoxiao Xu
Automation in Construction (2024) Vol. 162, pp. 105380-105380
Closed Access | Times Cited: 26
Predictive single-step kinetic model of biomass devolatilization for CFD applications: A comparison study of empirical correlations (EC), artificial neural networks (ANN) and random forest (RF)
Jiangkuan Xing, Haiou Wang, Kun Luo, et al.
Renewable Energy (2018) Vol. 136, pp. 104-114
Closed Access | Times Cited: 85
Multi-site household waste generation forecasting using a deep learning approach
Maximiliano Cubillos
Waste Management (2020) Vol. 115, pp. 8-14
Closed Access | Times Cited: 77
Evaluation of optimization techniques in predicting optimum moisture content reduction in drying potato slices
Chijioke Elijah Onu, Philomena K. Igbokwe, Joseph Tagbo Nwabanne, et al.
Artificial Intelligence in Agriculture (2020) Vol. 4, pp. 39-47
Open Access | Times Cited: 76
Machine learning based prediction for China's municipal solid waste under the shared socioeconomic pathways
Chenyi Zhang, Huijuan Dong, Yong Geng, et al.
Journal of Environmental Management (2022) Vol. 312, pp. 114918-114918
Closed Access | Times Cited: 61
Use of Machine Learning Methods for Predicting Amount of Bioethanol Obtained from Lignocellulosic Biomass with the Use of Ionic Liquids for Pretreatment
Małgorzata Smuga‐Kogut, Tomasz Kogut, Roksana Markiewicz, et al.
Energies (2021) Vol. 14, Iss. 1, pp. 243-243
Open Access | Times Cited: 55
A hybrid machine-learning model for predicting the waste generation rate of building demolition projects
Gi-Wook Cha, Hyeun Jun Moon, Young‐Chan Kim
Journal of Cleaner Production (2022) Vol. 375, pp. 134096-134096
Closed Access | Times Cited: 44
A review of computational modeling techniques for wet waste valorization: Research trends and future perspectives
Jie Li, Manu Suvarna, Lanyu Li, et al.
Journal of Cleaner Production (2022) Vol. 367, pp. 133025-133025
Closed Access | Times Cited: 43
Modeling of thermo-chemical pretreatment of yam peel substrate for biogas energy production: RSM, ANN, and ANFIS comparative approach
Chijioke Elijah Onu, Chinenyenwa Nkeiruka Nweke, Joseph Tagbo Nwabanne
Applied Surface Science Advances (2022) Vol. 11, pp. 100299-100299
Open Access | Times Cited: 39
AI-enhanced adsorption modeling: Challenges, applications, and bibliographic analysis
Sheetal Kumari, Jyoti Chowdhry, Manoj Chandra Garg
Journal of Environmental Management (2024) Vol. 351, pp. 119968-119968
Closed Access | Times Cited: 14
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