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:

Hybrid features extraction for the online mineral grades determination in the flotation froth using Deep Learning
Ahmed Bendaouia, El Hassan Abdelwahed, Sara Qassimi, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 129, pp. 107680-107680
Closed Access | Times Cited: 14

Showing 14 citing articles:

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

Advancements in Machine Learning for Optimal Performance in Flotation Processes: A Review
Alicja Szmigiel, Derek B. Apel, Krzysztof Skrzypkowski, et al.
Minerals (2024) Vol. 14, Iss. 4, pp. 331-331
Open Access | Times Cited: 7

Data-driven system for intelligent monitoring and optimization of froth flotation circuits using Artificial Neural Networks and Genetic Algorithms
Oussama Hasidi, El Hassan Abdelwahed, Moulay Abdellah El Alaoui-Chrifi, et al.
Journal of Process Control (2024) Vol. 137, pp. 103198-103198
Closed Access | Times Cited: 5

On the implications of artificial intelligence methods for feature engineering in reliability sector
Dongsheng Guo, Ting Yang, Dong Zhang
Alexandria Engineering Journal (2025) Vol. 117, pp. 463-471
Closed Access

Semi-supervised contrastive learning for flotation process monitoring with uncertainty-aware prototype optimization
Mingxi Ai, Jin Zhang, Peng Li, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 145, pp. 110222-110222
Closed Access

On the implications of artificial intelligence methods for feature engineering in reliability sector with computer knowledge graph
Heling Jiang, Yan Xia, Changjie Yu, et al.
Alexandria Engineering Journal (2025) Vol. 119, pp. 587-597
Closed Access

Recent advances in flotation froth image analysis via deep learning
Xin Chen, Dan Liu, Longzhou Yu, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 147, pp. 110283-110283
Closed Access

Digital twin of minerals processing operations for an advanced monitoring and supervision: froth flotation process case study
Oussama Hasidi, El Hassan Abdelwahed, Moulay Abdellah El Alaoui-Chrifi, et al.
The International Journal of Advanced Manufacturing Technology (2024) Vol. 132, Iss. 1-2, pp. 1031-1049
Closed Access | Times Cited: 4

Ensuring Miners’ Safety in Underground Mines through Edge Computing: Real-Time Pose Estimation and PPE Compliance Analysis
Mohamed Imam, Karim Bäına, Youness Tabii, et al.
IEEE Access (2024) Vol. 12, pp. 145721-145739
Open Access | Times Cited: 1

Study on Prediction of Zinc Grade by Transformer Model with De-Stationary Mechanism
Cheng Peng, Luo Liang, Hao Luo, et al.
Minerals (2024) Vol. 14, Iss. 3, pp. 230-230
Open Access | Times Cited: 1

A multiscale network for deblurring coal slurry foam images
Yuxiao Wang, Xianwu Huang, Haili Shang, et al.
Signal Image and Video Processing (2024) Vol. 18, Iss. 5, pp. 4841-4849
Closed Access | Times Cited: 1

Advanced Spatio-Temporal Froth Analysis Using Smart Soft Sensors in Mineral Processing
Ahmed Bendaouia, El Hassan Abdelwahed, Sara Qassimi, et al.
SN Computer Science (2024) Vol. 5, Iss. 4
Closed Access

Deep Ensemble Learning-Based Sensor for Flotation Froth Image Recognition
Xiaojun Zhou, Yiping He
Sensors (2024) Vol. 24, Iss. 15, pp. 5048-5048
Open Access

Computer Vision Based Monitoring System for Flotation in Mining Industry 4.0
Ahmed Bendaouia, El Hassan Abdelwahed, Sara Qassimi, et al.
Communications in computer and information science (2024), pp. 152-163
Closed Access

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