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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:

Machine learning applications in minerals processing: A review
John T. McCoy, Lidia Auret
Minerals Engineering (2018) Vol. 132, pp. 95-109
Closed Access | Times Cited: 239

Showing 1-25 of 239 citing articles:

Near-zero-waste processing of low-grade, complex primary ores and secondary raw materials in Europe: technology development trends
Jeroen Spooren, Koen Binnemans, Johanna Björkmalm, et al.
Resources Conservation and Recycling (2020) Vol. 160, pp. 104919-104919
Open Access | Times Cited: 155
Modified Deep Autoencoder Driven by Multisource Parameters for Fault Transfer Prognosis of Aeroengine
Zhiyi He, Haidong Shao, Ziyang Ding, et al.
IEEE Transactions on Industrial Electronics (2021) Vol. 69, Iss. 1, pp. 845-855
Closed Access | Times Cited: 142
Applications of artificial intelligence in engineering and manufacturing: a systematic review
Isaac Kofi Nti, Adebayo Felix Adekoya, Benjamin Asubam Weyori, et al.
Journal of Intelligent Manufacturing (2021) Vol. 33, Iss. 6, pp. 1581-1601
Closed Access | Times Cited: 139
State of Health Estimation Methods for Lithium-Ion Batteries
Gulzat Nuroldayeva, Yerkin Serik, Desmond Adair, et al.
International Journal of Energy Research (2023) Vol. 2023, pp. 1-21
Open Access | Times Cited: 46
Multiscale Feature Fusion and Semi-Supervised Temporal-Spatial Learning for Performance Monitoring in the Flotation Industrial Process
Yalin Wang, Silong Li, Chenliang Liu, et al.
IEEE Transactions on Cybernetics (2023) Vol. 54, Iss. 2, pp. 974-987
Closed Access | Times Cited: 44
Machine Learning Aided Design and Optimization of Thermal Metamaterials
Changliang Zhu, Emmanuel Anuoluwa Bamidele, Xiangying Shen, et al.
Chemical Reviews (2024) Vol. 124, Iss. 7, pp. 4258-4331
Open Access | Times Cited: 24
Machine learning toward advanced energy storage devices and systems
Tianhan Gao, Wei Lu
iScience (2020) Vol. 24, Iss. 1, pp. 101936-101936
Open Access | Times Cited: 128
The Effect of Training and Testing Process on Machine Learning in Biomedical Datasets
Muhammed Kürşad Uçar, Majid Nour, Hatem F. Sindi, et al.
Mathematical Problems in Engineering (2020) Vol. 2020, pp. 1-17
Open Access | Times Cited: 120
Flotation froth image classification using convolutional neural networks
Majid Zarie, A. Jahedsaravani, M. Massinaei
Minerals Engineering (2020) Vol. 155, pp. 106443-106443
Closed Access | Times Cited: 87
Systematic Review of Machine Learning Applications in Mining: Exploration, Exploitation, and Reclamation
Dahee Jung, Yosoon Choi
Minerals (2021) Vol. 11, Iss. 2, pp. 148-148
Open Access | Times Cited: 85
Computer vision detection of foreign objects in coal processing using attention CNN
Kanghui Zhang, Weidong Wang, Ziqi Lv, et al.
Engineering Applications of Artificial Intelligence (2021) Vol. 102, pp. 104242-104242
Closed Access | Times Cited: 78
The Twelve Principles of Circular Hydrometallurgy
Koen Binnemans, Peter Tom Jones
Journal of Sustainable Metallurgy (2022) Vol. 9, Iss. 1, pp. 1-25
Open Access | Times Cited: 61
The minerals industry in the era of digital transition: An energy-efficient and environmentally conscious approach
Glen T. Nwaila, Hartwig E. Frimmel, Steven E. Zhang, et al.
Resources Policy (2022) Vol. 78, pp. 102851-102851
Open Access | Times Cited: 52
Deep-Learning-Based Automatic Mineral Grain Segmentation and Recognition
Ghazanfar Latif, Kévin Bouchard, Julien Maítre, et al.
Minerals (2022) Vol. 12, Iss. 4, pp. 455-455
Open Access | Times Cited: 44
Identifying Exposure of Urban Area to Certain Seismic Hazard Using Machine Learning and GIS: A Case Study of Greater Cairo
Omar Hamdy, Hanan Gaber, Mohamed S. Abdalzaher, et al.
Sustainability (2022) Vol. 14, Iss. 17, pp. 10722-10722
Open Access | Times Cited: 44
Use of machine learning for classification of sand particles
Linzhu Li, Magued Iskander
Acta Geotechnica (2022) Vol. 17, Iss. 10, pp. 4739-4759
Closed Access | Times Cited: 37
Development of compressive strength prediction platform for concrete materials based on machine learning techniques
Kexin Liu, Lingyan Zhang, Weiguang Wang, et al.
Journal of Building Engineering (2023) Vol. 80, pp. 107977-107977
Closed Access | Times Cited: 23
A high-confidence instance boundary regression approach and its application in coal-gangue separation
Ziqi Lv, Weidong Wang, Kanghui Zhang, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 132, pp. 107894-107894
Closed Access | Times Cited: 12
Envisioning Human–Machine Relationship Towards Mining of the Future: An Overview
Peter Kolapo, Nafiu Olanrewaju Ogunsola, Kayode Komolafe, et al.
Mining (2025) Vol. 5, Iss. 1, pp. 5-5
Open Access | Times Cited: 1
The Application of Machine Learning Techniques to Improve El Niño Prediction Skill
Henk A. Dijkstra, Paul Petersik, Emilio Hernández‐García, et al.
Frontiers in Physics (2019) Vol. 7
Open Access | Times Cited: 71
Improving Smart Cities Safety Using Sound Events Detection Based on Deep Neural Network Algorithms
Giuseppe Ciaburro, Gino Iannace
Informatics (2020) Vol. 7, Iss. 3, pp. 23-23
Open Access | Times Cited: 67
Cascade network for detection of coal and gangue in the production context
Ziqi Lv, Weidong Wang, Zhiqiang Xu, et al.
Powder Technology (2020) Vol. 377, pp. 361-371
Closed Access | Times Cited: 57
Recurrent neural networks based modelling of industrial grinding operation
Ravi Kiran Inapakurthi, Srinivas Soumitri Miriyala, Kishalay Mitra
Chemical Engineering Science (2020) Vol. 219, pp. 115585-115585
Closed Access | Times Cited: 54
Long short-term memory-based grade monitoring in froth flotation using a froth video sequence
Hu Zhang, Zhaohui Tang, Yongfang Xie, et al.
Minerals Engineering (2020) Vol. 160, pp. 106677-106677
Closed Access | Times Cited: 53
Environmental desulfurization of mine wastes using various mineral processing techniques: Recent advances and opportunities
Yassine Ait-Khouia, Mostafa Benzaazoua, Isabelle Demers
Minerals Engineering (2021) Vol. 174, pp. 107225-107225
Closed Access | Times Cited: 51
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