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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:

Artificial intelligence and machine learning approaches in composting process: A review
Fulya Aydın Temel, Özge Cağcağ Yolcu, Nurdan Gamze Turan
Bioresource Technology (2023) Vol. 370, pp. 128539-128539
Closed Access | Times Cited: 49

Showing 1-25 of 49 citing articles:

Artificial intelligence for waste management in smart cities: a review
Bingbing Fang, Jiacheng Yu, Zhonghao Chen, et al.
Environmental Chemistry Letters (2023) Vol. 21, Iss. 4, pp. 1959-1989
Open Access | Times Cited: 212
Applicability and limitation of compost maturity evaluation indicators: A review
Yilin Kong, Jing Zhang, Xuanshuo Zhang, et al.
Chemical Engineering Journal (2024) Vol. 489, pp. 151386-151386
Closed Access | Times Cited: 39
Machine learning applications for biochar studies: A mini-review
Wei Wang, Jo‐Shu Chang, Duu‐Jong Lee
Bioresource Technology (2024) Vol. 394, pp. 130291-130291
Closed Access | Times Cited: 16
Artificial intelligence and machine learning for smart bioprocesses
Samir Kumar Khanal, Ayon Tarafdar, Siming You
Bioresource Technology (2023) Vol. 375, pp. 128826-128826
Closed Access | Times Cited: 41
From waste to wealth: Innovations in organic solid waste composting
Mingyue Xu, Haishu Sun, Enmiao Chen, et al.
Environmental Research (2023) Vol. 229, pp. 115977-115977
Closed Access | Times Cited: 34
Machine-learning intervention progress in the field of organic waste composting: Simulation, prediction, optimization, and challenges
Li-ting Huang, Jia-yi Hou, Hongtao Liu
Waste Management (2024) Vol. 178, pp. 155-167
Closed Access | Times Cited: 12
Machine learning for sustainable organic waste treatment: a critical review
Rohit Gupta, Zahra Hajabdollahi Ouderji, Uzma Uzma, et al.
npj Materials Sustainability (2024) Vol. 2, Iss. 1
Open Access | Times Cited: 12
Prediction models for bioavailability of Cu and Zn during composting: Insights into machine learning
Bing Bai, Lixia Wang, Fachun Guan, et al.
Journal of Hazardous Materials (2024) Vol. 471, pp. 134392-134392
Closed Access | Times Cited: 11
Predicting maturity and identifying key factors in organic waste composting using machine learning models
Ning Wang, Wanli Yang, Bingshu Wang, et al.
Bioresource Technology (2024) Vol. 400, pp. 130663-130663
Closed Access | Times Cited: 8
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
Substrate preference triggers metabolic patterns of indigenous microbiome during initial composting stages
Yi Ren, Chen Liu, Jiayu Luo, et al.
Bioresource Technology (2025) Vol. 419, pp. 132034-132034
Closed Access | Times Cited: 1
An artificial intelligence approach for identification of microalgae cultures
Pablo Otálora, José Luís Guzmán, F.G. Acién, et al.
New Biotechnology (2023) Vol. 77, pp. 58-67
Open Access | Times Cited: 17
Synergistic improvement of humus formation in compost residue by fenton-like and effective microorganism composite agents
Jun Zhuo Cai, Ying Yu, Zhan Biao Yang, et al.
Bioresource Technology (2024) Vol. 400, pp. 130703-130703
Closed Access | Times Cited: 7
Review: Biotic and abiotic approaches to artificial humic acids production
Ming Wang, Yunting Li, Hao Peng, et al.
Renewable and Sustainable Energy Reviews (2023) Vol. 187, pp. 113771-113771
Closed Access | Times Cited: 16
Biochar, phosphate, and magnesium oxide in seaweed and cornstarch dregs co-composting: Enhancing organic matter degradation, humification, and nitrogen retention
Yinjie Cui, Yang Zeng, Huili Hu, et al.
Waste Management (2024) Vol. 187, pp. 207-217
Closed Access | Times Cited: 4
Intelligent health care: applications of artificial intelligence and machine learning in computational medicine
Veenadhari Bhamidipaty, Durgananda Lahari Bhamidipaty, Fayaz S.M, et al.
Elsevier eBooks (2025), pp. 133-169
Closed Access
Comprehensive analysis of spatiotemporal heterogeneity reveals the effects of physicochemical and biological factors on temperature rise during the Moutai-flavor Baijiu stacking fermentation process
Yuanbu Li, Xing Qin, Xianglian Zeng, et al.
Chemical Engineering Journal (2025), pp. 161049-161049
Closed Access
Characterization of aroma components and establishment of a year prediction model for Tuo teas stored for 2-10 years based on multispectral analysis and chemometrics
Chenyang Ma, Di Tian, Haiyan Yi, et al.
Journal of Food Composition and Analysis (2025), pp. 107515-107515
Closed Access
Machine learning-assisted solid waste life-cycle management: Applications, constrains, and future opportunities
Qiuxia Zou, Huabo Duan, Zhirui Yang, et al.
Resources Conservation and Recycling (2025) Vol. 219, pp. 108320-108320
Closed Access
Composting Modelling: State of the Art
A. Trémier
Royal Society of Chemistry eBooks (2025), pp. 117-134
Closed Access
Linking fluorescence spectral to machine learning predicts the emissions fates of greenhouse gas during composting
Bing Bai, Hongtao Liu, Aizhen Liang, et al.
Computers and Electronics in Agriculture (2025) Vol. 236, pp. 110430-110430
Closed Access
Artificial Intelligence for Predicting the Performance of Adsorption Processes in Wastewater Treatment: A Critical Review
Mohammad Mansour, M. Bassyouni, Rehab F. Abdel-Kader, et al.
Earth and environmental sciences library (2024), pp. 153-173
Closed Access | Times Cited: 3
The role of artificial intelligence in the management of liver diseases
Ming‐Ying Lu, Wan‐Long Chuang, Ming‐Lung Yu
The Kaohsiung Journal of Medical Sciences (2024) Vol. 40, Iss. 11, pp. 962-971
Open Access | Times Cited: 3
Electric heating promotes sludge composting process: Optimization of heating method through machine learning algorithms
Youzhao Wang, Feng Ma, Tong Zhu, et al.
Bioresource Technology (2023) Vol. 382, pp. 129177-129177
Closed Access | Times Cited: 7
Microbiome data analysis via machine learning models: Exploring vital players to optimize kitchen waste composting system
Shang Ding, Liyan Jiang, Jiyuan Hu, et al.
Bioresource Technology (2023) Vol. 388, pp. 129731-129731
Closed Access | Times Cited: 7
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