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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:

Developing an evolving multi-layer perceptron network by genetic algorithm to predict full-scale ‎municipal ‎wastewater treatment plant effluent
Yousef Azimi, Mohammad Talaeian, Hamid Sarkheil, et al.
Journal of environmental chemical engineering (2022) Vol. 10, Iss. 5, pp. 108398-108398
Closed Access | Times Cited: 28

Showing 1-25 of 28 citing articles:

Improved genetic algorithm for mobile robot path planning in static environments
Mohd Nadhir Ab Wahab, Amril Nazir, Ashraf Khalil, et al.
Expert Systems with Applications (2024) Vol. 249, pp. 123762-123762
Closed Access | Times Cited: 22
A hybrid intelligent model using the distribution of relaxation time analysis of electrochemical impedance spectroscopy for lithium-ion battery state of health estimation
Xiaoyu Zhao, Shiyu Liu, Eric Li, et al.
Journal of Energy Storage (2024) Vol. 84, pp. 110814-110814
Open Access | Times Cited: 16
Artificial Neural Network-Driven Techno-Economic Predictions for Micro Gas Turbines (MGT) Based Energy Applications
A.H. Samitha Weerakoon, Mohsen Assadi
Energy and AI (2025), pp. 100483-100483
Open Access | Times Cited: 1
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: 8
An integral and multidimensional review on multi-layer perceptron as an emerging tool in the field of water treatment and desalination processes
Anwar Faizaan Reza, Randeep Singh, Rohit Kumar Verma, et al.
Desalination (2024) Vol. 586, pp. 117849-117849
Closed Access | Times Cited: 7
Machine learning-assisted performance prediction from the synthesis conditions of nanofiltration membranes
Bhaumik Sutariya, Pulak Sarkar, Pankaj D. Indurkar, et al.
Separation and Purification Technology (2024) Vol. 354, pp. 128960-128960
Closed Access | Times Cited: 5
Improvement of air flowrate distribution in the nitrification reactor of the waste water treatment plant by effluent quality, energy and greenhouse gas emissions optimization via artificial neural networks models
Norbert-Botond Mihály, Alexandra-Veronica Luca, Melinda Simon-Várhelyi, et al.
Journal of Water Process Engineering (2023) Vol. 54, pp. 103935-103935
Closed Access | Times Cited: 12
Optimizing Wastewater Treatment Plant Operational Efficiency Through Integrating Machine Learning Predictive Models and Advanced Control Strategies
Aparna K.G., R. Swarnalatha, Murchana Changmai
Process Safety and Environmental Protection (2024) Vol. 188, pp. 995-1008
Closed Access | Times Cited: 4
Prediction of wastewater quality parameters using adaptive and machine learning models: A South African case study
Abdul Gaffar Sheik, Muneer Ahmad Malla, Chandra Sainadh Srungavarapu, et al.
Journal of Water Process Engineering (2024) Vol. 67, pp. 106185-106185
Open Access | Times Cited: 4
Efficient operation of inverted umbrella aerator: the effect of operating parameters on oxygenation performance
Liai Chen, Qiyong Gou, Hongxun Hou, et al.
Desalination and Water Treatment (2025), pp. 101076-101076
Open Access
Transformative Intelligence
Marco Antonio Márquez-Vera, María Fernanda Ávila-Díaz, Andrea Guadalupe Noriega-Sánchez, et al.
Advances in computational intelligence and robotics book series (2025), pp. 323-338
Closed Access
Dual-stage soft sensor-based fault reconstruction and effluent prediction toward a sustainable wastewater treatment plant using attention fusion deep learning model
Abdulrahman H. Ba-Alawi, Jiyong Kim
Journal of environmental chemical engineering (2025), pp. 116221-116221
Closed Access
The pivotal and transformative role of artificial intelligence in advanced multidimensional modeling and optimization of complex cefixime separation processes using 3-hydroxyphenol-formaldehyde nanostructures: A multi-layered analytical approach
Hossein Azarpir, Parsa Khakzad, Mohammad Reza Alipour, et al.
Microchemical Journal (2025), pp. 113817-113817
Closed Access
Development of local and global wastewater biochemical oxygen demand real-time prediction models using supervised machine learning algorithms
Abdulaziz Sami Qambar, Mohammed Majid M. Al-Khalidy
Engineering Applications of Artificial Intelligence (2022) Vol. 118, pp. 105709-105709
Open Access | Times Cited: 18
Predicting biochemical oxygen demand in wastewater treatment plant using advance extreme learning machine optimized by Bat algorithm
Hayat Mekaoussi, Salim Heddam, Nouri Bouslimanni, et al.
Heliyon (2023) Vol. 9, Iss. 11, pp. e21351-e21351
Open Access | Times Cited: 10
Solar Irradiance Prediction Using an Optimized Data Driven Machine Learning Models
Mantosh Kumar, Kumari Namrata, Nishant Kumar, et al.
Journal of Grid Computing (2023) Vol. 21, Iss. 2
Closed Access | Times Cited: 9
Prediction and optimization of the efficiency and energy consumption of an ammonia vacuum thermal stripping process using experiments and machine learning models
Youn-Jun Lee, Jin-Kyu Kang, Sung-Hyo Jung, et al.
Environmental Technology & Innovation (2024) Vol. 34, pp. 103610-103610
Open Access | Times Cited: 3
Exploring ANFIS application based on actual data from wastewater treatment plant for predicting effluent removal quality of selected major pollutants
Liang Qiao, Pei Yang, Qi Leng, et al.
Journal of Water Process Engineering (2023) Vol. 56, pp. 104247-104247
Closed Access | Times Cited: 8
Development and optimization of a neural network model using genetic algorithm to predict the performance of a packed bed reactor treating sulphate-rich wastewater
Manoj Kumar, Rohil Saraf, Shishir Kumar Behera, et al.
Case Studies in Chemical and Environmental Engineering (2024) Vol. 10, pp. 100793-100793
Open Access | Times Cited: 2
A transfer learning-based ensemble learning model for electric vehicles lithium-ion battery capacity estimation using electrochemical impedance spectroscopy
Xiaoyu Zhao, Shiyu Liu, Eric Li, et al.
Sustainable Energy Technologies and Assessments (2024) Vol. 68, pp. 103886-103886
Open Access | Times Cited: 2
Dynamic Harris hawks optimizer based on historical information and tournament strategy and its application in numerical optimization of blast furnace ingredients
Zhendong Liu, Yiming Fang, Le Liu, et al.
Applied Soft Computing (2024) Vol. 164, pp. 111976-111976
Closed Access | Times Cited: 2
Improvement of effluent quality and operational cost reduction of a wastewater treatment plant using intelligent computational hybrid control schemes
Jean Gabain Ateunkeng, Alexandre Teplaira Boum, Laurent Bitjoka
Clean Technologies and Environmental Policy (2024)
Closed Access | Times Cited: 1
A MLP-Based Transfer Learning Model Using EIS Health Features for State of Health Estimation of Lithium-Ion Battery
Xiaoyu Zhao, Zuolu Wang, Shiyu Liu, et al.
2022 27th International Conference on Automation and Computing (ICAC) (2023), pp. 1-5
Closed Access | Times Cited: 2
Wastewater Treatment Process Enhancement Based on Multi-Objective Optimization and Interpretable Machine Learning
Tianxiang Liu, Heng Zhang, Junhao Wu, et al.
(2024)
Closed Access
Ensemble Regression Tree with Bayesian Optimization for Prediction of Biochemical Oxygen Demand and Climate Impact Assessment in Full Scale Waste Water Treatment Plant
Sara Abdelghafar, Ashraf Darwish, Aboul Ella Hassanien
Studies in systems, decision and control (2024), pp. 313-327
Closed Access
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