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:
Novel Intelligent System Based on Automated Machine Learning for Multiobjective Prediction and Early Warning Guidance of Biogas Performance in Industrial-Scale Garage Dry Fermentation
Yi Zhang, Yun Zhao, Yijing Feng, et al.
ACS ES&T Engineering (2023) Vol. 4, Iss. 1, pp. 139-152
Closed Access | Times Cited: 14
Yi Zhang, Yun Zhao, Yijing Feng, et al.
ACS ES&T Engineering (2023) Vol. 4, Iss. 1, pp. 139-152
Closed Access | Times Cited: 14
Showing 14 citing articles:
Using automated machine learning techniques to explore key factors in anaerobic digestion: At the environmental factor, microorganisms and system levels
Yi Zhang, Zhangmu Jing, Yijing Feng, et al.
Chemical Engineering Journal (2023) Vol. 475, pp. 146069-146069
Closed Access | Times Cited: 25
Yi Zhang, Zhangmu Jing, Yijing Feng, et al.
Chemical Engineering Journal (2023) Vol. 475, pp. 146069-146069
Closed Access | Times Cited: 25
Elucidating the impacts of microplastics on soil greenhouse gas emissions through automatic machine learning frameworks
Xintong Lin, Jie Hou, Xinyue Wu, et al.
The Science of The Total Environment (2024) Vol. 916, pp. 170308-170308
Closed Access | Times Cited: 6
Xintong Lin, Jie Hou, Xinyue Wu, et al.
The Science of The Total Environment (2024) Vol. 916, pp. 170308-170308
Closed Access | Times Cited: 6
Understanding Anaerobic Co-digestion of Organic Wastes through Meta-Analysis
Wachiranon Chuenchart, K.C. Surendra, Samir Kumar Khanal
ACS ES&T Engineering (2024) Vol. 4, Iss. 5, pp. 1177-1192
Closed Access | Times Cited: 6
Wachiranon Chuenchart, K.C. Surendra, Samir Kumar Khanal
ACS ES&T Engineering (2024) Vol. 4, Iss. 5, pp. 1177-1192
Closed Access | Times Cited: 6
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
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
Using Machine Learning and GPT Models To Enhance Electrochemical Pretreatment of Anaerobic Cofermentation: Prediction, Early Warning, and Biomarker Identification
Jinqi Jiang, Qingshan Lin, Xiaohong Guan, et al.
ACS ES&T Engineering (2025)
Closed Access
Jinqi Jiang, Qingshan Lin, Xiaohong Guan, et al.
ACS ES&T Engineering (2025)
Closed Access
Applying machine learning to anaerobic fermentation of waste sludge using two targeted modeling strategies
Shixin Zhai, Kai Chen, Lisha Yang, et al.
The Science of The Total Environment (2024) Vol. 916, pp. 170232-170232
Closed Access | Times Cited: 4
Shixin Zhai, Kai Chen, Lisha Yang, et al.
The Science of The Total Environment (2024) Vol. 916, pp. 170232-170232
Closed Access | Times Cited: 4
Quantification of the Influencing Factors of Stand Productivity of Subtropical Natural Broadleaved Forests in Eastern China Using an Explainable Machine Learning Framework
Qun Du, Chenghao Zhu, Biyong Ji, et al.
Forests (2025) Vol. 16, Iss. 1, pp. 95-95
Open Access
Qun Du, Chenghao Zhu, Biyong Ji, et al.
Forests (2025) Vol. 16, Iss. 1, pp. 95-95
Open Access
Comparative Evaluation of Ensemble Machine Learning Models for Methane Production from Anaerobic Digestion
Dorijan Radočaj, Mladen Jurišić
Fermentation (2025) Vol. 11, Iss. 3, pp. 130-130
Open Access
Dorijan Radočaj, Mladen Jurišić
Fermentation (2025) Vol. 11, Iss. 3, pp. 130-130
Open Access
Prediction of biological nutrients removal in full-scale wastewater treatment plants using H2O automated machine learning and back propagation artificial neural network model: Optimization and comparison
Jingyang Luo, Yuting Luo, Xiaoshi Cheng, et al.
Bioresource Technology (2023) Vol. 390, pp. 129842-129842
Closed Access | Times Cited: 12
Jingyang Luo, Yuting Luo, Xiaoshi Cheng, et al.
Bioresource Technology (2023) Vol. 390, pp. 129842-129842
Closed Access | Times Cited: 12
Maximizing Biogas Yield Using an Optimized Stacking Ensemble Machine Learning Approach
Angelique Mukasine, Louis Sibomana, Kayalvizhi Jayavel, et al.
Energies (2024) Vol. 17, Iss. 2, pp. 364-364
Open Access | Times Cited: 1
Angelique Mukasine, Louis Sibomana, Kayalvizhi Jayavel, et al.
Energies (2024) Vol. 17, Iss. 2, pp. 364-364
Open Access | Times Cited: 1
Design, fabrication, automation, and scaleup of anaerobic reactors for waste management and bioenergy recovery
Luana R. R. Fröner‐Lacerda, William Gustavo Sganzerla, Vinícius F. Lacerda, et al.
Biofuels Bioproducts and Biorefining (2024) Vol. 18, Iss. 5, pp. 1093-1106
Closed Access | Times Cited: 1
Luana R. R. Fröner‐Lacerda, William Gustavo Sganzerla, Vinícius F. Lacerda, et al.
Biofuels Bioproducts and Biorefining (2024) Vol. 18, Iss. 5, pp. 1093-1106
Closed Access | Times Cited: 1
Feature Engineering and Supervised Machine Learning to Forecast Biogas Production during Municipal Anaerobic Co-Digestion
Hunter W. Schroer, Craig L. Just
ACS ES&T Engineering (2023) Vol. 4, Iss. 3, pp. 660-672
Open Access | Times Cited: 2
Hunter W. Schroer, Craig L. Just
ACS ES&T Engineering (2023) Vol. 4, Iss. 3, pp. 660-672
Open Access | Times Cited: 2
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.
(2024)
Closed Access
Weijin Zhang, Zejian Ai, Qingyue Chen, et al.
(2024)
Closed Access
Prediction of optimal bioremediation conditions for petroleum hydrocarbon contaminated soil by automated machine learning-based analysis
Jiao Wang, Peng Chu, Quanli Man, et al.
Journal of Cleaner Production (2024), pp. 144042-144042
Closed Access
Jiao Wang, Peng Chu, Quanli Man, et al.
Journal of Cleaner Production (2024), pp. 144042-144042
Closed Access
