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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:

Plant-scale biogas production prediction based on multiple hybrid machine learning technique
Yi Zhang, Linhui Li, Zhonghao Ren, et al.
Bioresource Technology (2022) Vol. 363, pp. 127899-127899
Closed Access | Times Cited: 27

Showing 1-25 of 27 citing articles:

Machine learning for hydrothermal treatment of biomass: A review
Weijin Zhang, Qingyue Chen, Jiefeng Chen, et al.
Bioresource Technology (2022) Vol. 370, pp. 128547-128547
Closed Access | Times Cited: 88
Overcoming the Limits of Cross-Sensitivity: Pattern Recognition Methods for Chemiresistive Gas Sensor Array
Haixia Mei, Jingyi Peng, Tao Wang, et al.
Nano-Micro Letters (2024) Vol. 16, Iss. 1
Open Access | Times Cited: 21
Surface defect detection methods for industrial products with imbalanced samples: A review of progress in the 2020s
Dongxu Bai, Gongfa Li, Du Jiang, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 130, pp. 107697-107697
Closed Access | Times Cited: 26
Data Science Applications in Circular Economy: Trends, Status, and Future
Bu Zhao, Zongqi Yu, Hongze Wang, et al.
Environmental Science & Technology (2024) Vol. 58, Iss. 15, pp. 6457-6474
Closed Access | Times Cited: 12
Applications of machine learning tools for biological treatment of organic wastes: Perspectives and challenges
Long Chen, Pinjing He, Hua Zhang, et al.
Circular Economy (2024) Vol. 3, Iss. 2, pp. 100088-100088
Open Access | Times Cited: 8
Predicting steady-state biogas production from waste using advanced machine learning-metaheuristic approaches
Yesen Sun, Hongliang Dai, Hossein Moayedi, et al.
Fuel (2023) Vol. 355, pp. 129493-129493
Open Access | Times Cited: 15
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
Data-driven analysis and prediction of wastewater treatment plant performance: Insights and forecasting for sustainable operations
Sameer Al‐Dahidi, Mohammad Alrbai, Loiy Al‐Ghussain, et al.
Bioresource Technology (2023) Vol. 391, pp. 129937-129937
Closed Access | Times Cited: 14
GAN-MAML strategy for biomass energy production: Overcoming small dataset limitations
Yi Zhang, Yanji Hao, Yu Fu, et al.
Applied Energy (2025) Vol. 387, pp. 125568-125568
Closed Access
PREDICTION OF BIOGAS YIELD FROM ANAEROBIC DIGESTERS USING META-REGRESSION
Patryk Organiściak, A. Turek, Arkadiusz Stęchły, et al.
Zeszyty Naukowe SGSP (2025) Vol. 1, Iss. 93, pp. 81-100
Open Access
A Systematic Review of Machine-Learning Solutions in Anaerobic Digestion
Harvey Rutland, Jiseon You, Haixia Liu, et al.
Bioengineering (2023) Vol. 10, Iss. 12, pp. 1410-1410
Open Access | Times Cited: 11
Effect of homemade compound microbial inoculum on the reduction of terramycin and antibiotic resistance genes in terramycin mycelial dreg aerobic composting and its mechanism
Sainan Chen, Weizhang Zhong, Zhifang Ning, et al.
Bioresource Technology (2022) Vol. 368, pp. 128302-128302
Closed Access | Times Cited: 16
Prediction of biogas production in anaerobic digestion of a full‐scale wastewater treatment plant using ensembled machine learning models
Jiasi Sun, Yanran Xu, Shaker Nairat, et al.
Water Environment Research (2023) Vol. 95, Iss. 6
Closed Access | Times Cited: 10
Process modelling and optimisation of methane yield from palm oil mill effluent using response surface methodology and artificial neural network
Jia Win Chen, Yi Jing Chan, Senthil Kumar Arumugasamy, et al.
Journal of Water Process Engineering (2023) Vol. 52, pp. 103493-103493
Open Access | Times Cited: 9
Leveraging machine learning for prediction of antibiotic resistance genes post thermal hydrolysis-anaerobic digestion in dairy waste
Haiyan Su, Tianjiao Zhu, Jia-Qiang Lv, et al.
Bioresource Technology (2024) Vol. 399, pp. 130536-130536
Closed Access | Times Cited: 3
Machine learning enabled prediction and process optimization of VFA production from riboflavin-mediated sludge fermentation
Weishuai Li, Jingang Huang, Zhuoer Shi, et al.
Frontiers of Environmental Science & Engineering (2023) Vol. 17, Iss. 11
Closed Access | Times Cited: 8
Evaluation of artificial neural network models for predictive monitoring of biogas production from cassava wastewater: A training algorithms approach
Ianny Andrade Cruz, Victor Ruan Silva Nascimento, Raul José Alves Felisardo, et al.
Biomass and Bioenergy (2023) Vol. 175, pp. 106869-106869
Closed Access | Times Cited: 7
Advances, trends and challenges in the use of biochar as an improvement strategy in the anaerobic digestion of organic waste: a systematic analysis
Brayan Alexis Parra-Orobio, Jonathan Soto-Paz, Édgar Ricardo Oviedo-Ocaña, et al.
Bioengineered (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 7
Machine learning based prediction of biogas generation from municipal solid waste: A data-driven approach
Deval Singh, Mamta Tembhare, Kundeshwar Pundalik, et al.
Process Safety and Environmental Protection (2024) Vol. 192, pp. 93-103
Closed Access | Times Cited: 2
Hybrid Prediction-Driven High-Throughput Sustainability Screening for Advancing Waste-to-Dimethyl Ether Valorization
Dániel Fózer, Philippe Nimmegeers, András József Tóth, et al.
Environmental Science & Technology (2023) Vol. 57, Iss. 36, pp. 13449-13462
Open Access | Times Cited: 5
Machine Learning Algorithm Integrated with Real-Time In Situ Sensors and Physiochemical Principle-Driven Soft Sensors toward an Anaerobic Digestion-Data Fusion Framework
Xingyu Wang, Ishrat Rashid, Zhiyuan Zhao, et al.
ACS ES&T Water (2023) Vol. 4, Iss. 3, pp. 1061-1072
Closed Access | Times Cited: 4
A WebGIS-Based System for Supporting Saline–Alkali Soil Ecological Monitoring: A Case Study in Yellow River Delta, China
Yingqiang Song, Yinxue Pan, Meiyan Xiang, et al.
Remote Sensing (2024) Vol. 16, Iss. 11, pp. 1948-1948
Open Access | Times Cited: 1
Optimizing biogas production: a novel hybrid approach using anaerobic digestion calculator and machine learning techniques on Indian biogas plant
Tinka Singh, Ramagopal V.S. Uppaluri
Clean Technologies and Environmental Policy (2023) Vol. 25, Iss. 10, pp. 3319-3343
Closed Access | Times Cited: 3
Assessing microbial stability and predicting biogas production in full-scale thermophilic dry methane fermentation of municipal solid waste
Yuya Sato, Kentaro Hasemi, Kazunori Machikawa, et al.
Bioresource Technology (2024) Vol. 402, pp. 130766-130766
Closed Access
Research on characterization of pellet characteristics of straw and potato residue mixture based on deep learning
Xiaowei Jin, Wenbin Guo, Tianyu Shi, et al.
Biomass and Bioenergy (2024) Vol. 193, pp. 107551-107551
Closed Access
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