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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:

Energy consumption prediction in water treatment plants using deep learning with data augmentation
Fouzi Harrou, Abdelkader Dairi, Abdelhakim Dorbane, et al.
Results in Engineering (2023) Vol. 20, pp. 101428-101428
Open Access | Times Cited: 35

Showing 1-25 of 35 citing articles:

Forecasting the strength of graphene nanoparticles-reinforced cementitious composites using ensemble learning algorithms
Majid Khan, Roz‐Ud‐Din Nassar, Waqar Anwar, et al.
Results in Engineering (2024) Vol. 21, pp. 101837-101837
Open Access | Times Cited: 27
Explainable machine learning methods for predicting water treatment plant features under varying weather conditions
Mohammed Al Saleem, Fouzi Harrou, Ying Sun
Results in Engineering (2024) Vol. 21, pp. 101930-101930
Open Access | Times Cited: 21
Enhancing road traffic flow prediction with improved deep learning using wavelet transforms
Fouzi Harrou, Abdelhafid Zeroual, Farid Kadri, et al.
Results in Engineering (2024) Vol. 23, pp. 102342-102342
Open Access | Times Cited: 18
Optimizing durability assessment: Machine learning models for depth of wear of environmentally-friendly concrete
Majid Khan, Roz‐Ud‐Din Nassar, Asad U. Khan, et al.
Results in Engineering (2023) Vol. 20, pp. 101625-101625
Open Access | Times Cited: 33
Maximizing energy efficiency in wastewater treatment plants: A data-driven approach for waste heat recovery and an economic analysis using Organic Rankine Cycle and thermal energy storage
Sameer Al‐Dahidi, Mohammad Alrbai, Loiy Al‐Ghussain, et al.
Applied Energy (2024) Vol. 362, pp. 123008-123008
Closed Access | Times Cited: 10
Enhancing wind power prediction with self-attentive variational autoencoders: A comparative study
Fouzi Harrou, Abdelkader Dairi, Abdelhakim Dorbane, et al.
Results in Engineering (2024) Vol. 23, pp. 102504-102504
Open Access | Times Cited: 8
Enhancing sediment transport predictions through machine learning-based multi-scenario regression models
Mohammad Abdullah Almubaidin, Sarmad Dashti Latif, Kalaiarasan Balan, et al.
Results in Engineering (2023) Vol. 20, pp. 101585-101585
Open Access | Times Cited: 19
Detecting the signs of desertification with Landsat imagery: A semi-supervised anomaly detection approach
Fouzi Harrou, Benamar Bouyeddou, Nabil Zerrouki, et al.
Results in Engineering (2024) Vol. 22, pp. 102037-102037
Open Access | Times Cited: 6
Transforming PFAS management: A critical review of machine learning applications for enhanced monitoring and treatment
Md Hasan-Ur Rahman, Rabbi Sikder, Tanvir Ahamed Tonmoy, et al.
Journal of Water Process Engineering (2025) Vol. 70, pp. 106941-106941
Closed Access
Predictive Modelling of Hexagonal Boron Nitride Nanosheets Yield through Machine and Deep Learning: An Ultrasonic Exfoliation Parametric Evaluation
Jerrin Joy Varughese, M. Sreekanth
Results in Engineering (2025), pp. 104127-104127
Open Access
Enhancing water quality prediction: a machine learning approach across diverse water environments
Sabanaz S. Peerzade, Pooja Kamat
Water quality research journal. (2025)
Open Access
Leveraging Artificial Intelligence Models (GBR, SVR, and GA) for Efficient Chromium Reduction via UV/Trichlorophenol/Sulfite Reaction
Amir H. Mohammadi, Parsa Khakzad, Tayebeh Rasolevandi, et al.
Results in Engineering (2025), pp. 104599-104599
Open Access
Deep Learning‐Driven Forecasting for Compressed Air Oxygenation Integrating With Floating PV Power Generation System
Sirisak Pangvuthivanich, Wirachai Roynarin, Terapong Boonraksa, et al.
IET Energy Systems Integration (2025) Vol. 7, Iss. 1
Open Access
Wastewater treatment process enhancement based on multi-objective optimization and interpretable machine learning
Tianxiang Liu, Heng Zhang, Junhao Wu, et al.
Journal of Environmental Management (2024) Vol. 364, pp. 121430-121430
Closed Access | Times Cited: 4
Enhanced data-driven monitoring of wastewater treatment plants using the Kolmogorov–Smirnov test
K. Ramakrishna Kini, Fouzi Harrou, Muddu Madakyaru, et al.
Environmental Science Water Research & Technology (2024) Vol. 10, Iss. 6, pp. 1464-1480
Open Access | Times Cited: 3
Self-correction method for sensor faulty heat pump system based on machine learning
Zhe Sun, Qiwei Yao
Results in Engineering (2024) Vol. 22, pp. 102170-102170
Open Access | Times Cited: 3
Development of a Machine Learning (ML)-Based Computational Model to Estimate the Engineering Properties of Portland Cement Concrete (PCC)
Rodrigo Polo-Mendoza, Gilberto Martínez-Arguelles, Rita Peñabaena‐Niebles, et al.
Arabian Journal for Science and Engineering (2024) Vol. 49, Iss. 10, pp. 14351-14365
Open Access | Times Cited: 3
Explainable machine learning for enhancing predictive accuracy of cutting forces in hard turning processes
Abdelhakim Dorbane, Fouzi Harrou, Ying Sun, et al.
The International Journal of Advanced Manufacturing Technology (2024)
Closed Access | Times Cited: 3
A Hybrid Deep Learning Framework for Short-Term Load Forecasting with Improved Data Cleansing and Preprocessing Techniques
Muhammad Sajid Iqbal, Muhammad Adnan Khan, Salah Eldeen Gasim Mohamed, et al.
Results in Engineering (2024), pp. 103560-103560
Open Access | Times Cited: 3
Application of machine learning-based algorithms to predict the stress-strain curves of additively manufactured mild steel out of its microstructural characteristics
Jorge Lizarazu, Ehsan Harirchian, Umar Arif Shaik, et al.
Results in Engineering (2023) Vol. 20, pp. 101587-101587
Open Access | Times Cited: 9
Energy efficiency evaluation and optimization for wastewater treatment plant
Zhenhua Li, Jinghua Lu, Jingyu Lu
Desalination and Water Treatment (2024) Vol. 319, pp. 100487-100487
Open Access | Times Cited: 2
An Efficient Deep Learning Prognostic Model for Remaining Useful Life Estimation of High Speed CNC Milling Machine Cutters
Hamdy K. Elminir, Mohamed A. El-Brawany, Dina A. Ibrahim, et al.
Results in Engineering (2024) Vol. 24, pp. 103420-103420
Open Access | Times Cited: 2
Seismic Performance Prediction of RC, BRB and SDOF Structures Using Deep Learning and the Intensity Measure INp
Omar Payán-Serrano, Edén Bojórquez, Julián Carrillo, et al.
AI (2024) Vol. 5, Iss. 3, pp. 1496-1516
Open Access | Times Cited: 2
Knowledge-enhanced data-driven modeling of wastewater treatment processes for energy consumption prediction
Louis Allen, Joan Cordiner
Computers & Chemical Engineering (2024), pp. 108982-108982
Open Access | Times Cited: 1
A binary-level hybrid intelligent control configuration for sustainable energy consumption in an activated sludge biological wastewater treatment plant
Jean Gabain Ateunkeng, Alexandre Teplaira Boum, Laurent Bitjoka
Journal of Water Process Engineering (2024) Vol. 65, pp. 105902-105902
Closed Access | Times Cited: 1
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