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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:

Modeling the optimal dosage of coagulants in water treatment plants using various machine learning models
Mohammed Achite, Saeed Farzin, Nehal Elshaboury, et al.
Environment Development and Sustainability (2022) Vol. 26, Iss. 2, pp. 3395-3421
Closed Access | Times Cited: 18

Showing 18 citing articles:

An in-depth survey of the artificial gorilla troops optimizer: outcomes, variations, and applications
Abdelazim G. Hussien, Anas Bouaouda, Abdullah Alzaqebah, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 9
Open Access | Times Cited: 5
Intercomparison of sediment transport curve and novel deep learning techniques in simulating sediment transport in the Wadi Mina Basin, Algeria
Mohammed Achite, Okan Mert Katipoğlu, Nehal Elshaboury, et al.
Environmental Earth Sciences (2025) Vol. 84, Iss. 2
Closed Access
Artificial Neural Networks (ANNs) and Multiple Linear Regression (MLR) Analysis Modelling for Predicting Chemical Dosages of a Water Treatment Plant (WTP) of Drinking Water
Stylianos Gyparakis, Ioannis Trichakis, Tryfon Daras, et al.
Water (2025) Vol. 17, Iss. 2, pp. 227-227
Open Access
Revolutionizing water quality management the impact of machine learning and artificial intelligence
Richa Sharma, Aparna Satapathy, Vaishnavi Srivastava, et al.
Elsevier eBooks (2025), pp. 27-42
Closed Access
A Non-Hybrid Data-Driven Fuzzy Inference System for Coagulant Dosage in Drinking Water Treatment Plant: Machine-Learning for Accurate Real-Time Prediction
Adriano Bressane, Ana Paula Garcia Goulart, Carrie Peres Melo, et al.
Water (2023) Vol. 15, Iss. 6, pp. 1126-1126
Open Access | Times Cited: 13
Dynamic Hazard Assessment of Rainfall-Induced Landslides Using Gradient Boosting Decision Tree with Google Earth Engine in Three Gorges Reservoir Area, China
Ke Yang, Ruiqing Niu, Yingxu Song, et al.
Water (2024) Vol. 16, Iss. 12, pp. 1638-1638
Open Access | Times Cited: 4
Predictive insights into arsenic remediation: Advancing electro and chemical coagulation through machine learning models
Ahmet Kılıç, Alper Alver, Emine Baştürk, et al.
Journal of Water Process Engineering (2025) Vol. 72, pp. 107498-107498
Closed Access
Intelligent framework for coagulant dosing optimization in an industrial-scale seawater reverse osmosis desalination plant
Muhammad Ghifari Ridwan, Thomas Altmann, Ahmed Yousry, et al.
Machine Learning with Applications (2023) Vol. 12, pp. 100475-100475
Open Access | Times Cited: 10
Metaheuristic learning algorithms for accurate prediction of hydraulic performance of porous embankment weirs
Mostafa Rahmanshahi, Jafar Jafari‐Asl, Manoochehr Fathi-Moghadam, et al.
Applied Soft Computing (2023) Vol. 151, pp. 111150-111150
Closed Access | Times Cited: 10
Development of long short-term memory along with differential optimization and neural networks for coagulant dosage prediction in water treatment plant
Milad Sharafi, Vahid Rezaverdinejad, Javad Behmanesh, et al.
Journal of Water Process Engineering (2024) Vol. 65, pp. 105784-105784
Closed Access | Times Cited: 3
Economic and social perspectives of implementing artificial intelligence in drinking water treatment systems for predicting coagulant dosage: A transition toward sustainability
Derrick Dadebo, Denis Obura, Nathan Etyang, et al.
Groundwater for Sustainable Development (2023) Vol. 23, pp. 100987-100987
Closed Access | Times Cited: 9
Integrated Modeling of Hybrid Nanofiltration/Reverse Osmosis Desalination Plant Using Deep Learning-Based Crow Search Optimization Algorithm
Sani I. Abba, Jamilu Usman, Ismail Abdulazeez, et al.
Water (2023) Vol. 15, Iss. 19, pp. 3515-3515
Open Access | Times Cited: 8
Ensemble Empirical Mode Decomposition and a Long Short-Term Memory Neural Network for Surface Water Quality Prediction of the Xiaofu River, China
Lan Luo, Yanjun Zhang, Wenxun Dong, et al.
Water (2023) Vol. 15, Iss. 8, pp. 1625-1625
Open Access | Times Cited: 7
A Probabilistic Runoff Prediction Model Based on Improved Long Short-Term Memory and Interval Correction
Shuang Zhu, Maoyu Zhang, Chao Wang, et al.
Journal of Hydrologic Engineering (2024) Vol. 29, Iss. 4
Closed Access | Times Cited: 1
Predicting Daily Suspended Sediment Load in Rivers Using Hybrid and Deep Learning Models-Case Study: Kharestan Watershed
Mohammad Shabani, Hossein Fathian, Mohammad Ali Asadi, et al.
Iranian Journal of Science and Technology Transactions of Civil Engineering (2024) Vol. 48, Iss. 6, pp. 4673-4685
Closed Access | Times Cited: 1
DBFiLM: A novel dual-branch frequency improved legendre memory forecasting model for coagulant dosage determination
Sibo Xia, Hongqiu Zhu, Ning Zhang, et al.
Expert Systems with Applications (2024) Vol. 254, pp. 124488-124488
Closed Access | Times Cited: 1
Analysis of seasonal spatio-temporal variations in river water quality and its influencing factors in the Periyar River Basin, Southern Western Ghats, India
Sanal Kumar Aditya, A. Krishnakumar, Krishnan AnoopKrishnan
Journal of Water and Climate Change (2024) Vol. 15, Iss. 9, pp. 4434-4456
Open Access | Times Cited: 1
Applying Data-Driven Modeling for Streamflow Prediction in Semi-Arid Watersheds: A Comparative Evaluation of Machine Learning and Deep Learning Methodologies
Metin Sarıgöl, Okan Mert Katipoğlu, Yıldırım Dalkiliç
Pure and Applied Geophysics (2024)
Closed Access
Dbfilm: A Novel Dual-Branch Frequency Improved Legendre Memory Forecasting Model for Coagulant Dosage Determination
Sibo Xia, Hongqiu Zhu, Ning Zhang, et al.
(2023)
Closed Access
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