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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:

Comparison between Regression Models, Support Vector Machine (SVM), and Artificial Neural Network (ANN) in River Water Quality Prediction
Nur Najwa Mohd Rizal, Gasim Hayder, Mohammed Mnzool, et al.
Processes (2022) Vol. 10, Iss. 8, pp. 1652-1652
Open Access | Times Cited: 38

Showing 1-25 of 38 citing articles:

Bayesian Optimization with Support Vector Machine Model for Parkinson Disease Classification
Ahmed M. Elshewey, Mahmoud Y. Shams, Nora El-Rashidy, et al.
Sensors (2023) Vol. 23, Iss. 4, pp. 2085-2085
Open Access | Times Cited: 57
Machine Learning Assisted Wavelength Recognition in Cu2O/Si Self-Powered Photodetector Arrays for Advanced Image Sensing Applications
Pei-Te Lin, Zi-Chun Tseng, Chun‐Ying Huang
ACS Applied Electronic Materials (2025) Vol. 7, Iss. 1, pp. 225-235
Closed Access | Times Cited: 3
Modelling Dimensional Accuracy and Surface Roughness in Resin Additive Manufacturing through Neural Network: A Multi-objective Optimization Approach in Dentistry
Anmol Sharma, Pushpendra S. Bharti
Journal of Materials Engineering and Performance (2025)
Closed Access | Times Cited: 2
Predicting Water Quality with Artificial Intelligence: A Review of Methods and Applications
Dani Irwan, Maisarah Ali, Ali Najah Ahmed, et al.
Archives of Computational Methods in Engineering (2023) Vol. 30, Iss. 8, pp. 4633-4652
Closed Access | Times Cited: 39
Evaluation of machine learning algorithms for groundwater quality modeling
Soheil Sahour, Matin Khanbeyki, Vahid Gholami, et al.
Environmental Science and Pollution Research (2023) Vol. 30, Iss. 16, pp. 46004-46021
Open Access | Times Cited: 28
Machine learning model combined with CEEMDAN algorithm for monthly precipitation prediction
Zi-yi Shen, Wenchao Ban
Earth Science Informatics (2023) Vol. 16, Iss. 2, pp. 1821-1833
Closed Access | Times Cited: 14
Adaptive selection and optimal combination scheme of candidate models for real-time integrated prediction of urban flood
Yihong Zhou, Zening Wu, Hongshi Xu, et al.
Journal of Hydrology (2023) Vol. 626, pp. 130152-130152
Closed Access | Times Cited: 13
Recent Advances in Surface Water Quality Prediction Using Artificial Intelligence Models
Qingqing Zhang, Xue‐yi You
Water Resources Management (2023) Vol. 38, Iss. 1, pp. 235-250
Closed Access | Times Cited: 11
Prediction of Blue-Green Algae Cells in a City Water Source Based on the LSTM Model
L. Sun, Y. Q. Chu, Huijun Li, et al.
Water (2025) Vol. 17, Iss. 2, pp. 237-237
Open Access
Synthesis of Copper-Impregnated MCM-41 from Synthetic and Rice Husk-Derived Silica for Efficient Adsorption of Levofloxacin: A Machine Learning Approach
Gayatri Rajput, Vijayalakshmi Gosu, Verraboina Subbaramaiah
Journal of environmental chemical engineering (2025), pp. 115634-115634
Closed Access
Robust adaptive optimization for sustainable water demand prediction in water distribution systems
Ke Wang, Jiayang Meng, Zhangquan Wang, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Artificial intelligence based detection and control strategies for river water pollution: A comprehensive review
Deepak L. Bhatt, Mamata Swain, Dhananjay Yadav
Journal of Contaminant Hydrology (2025) Vol. 271, pp. 104541-104541
Closed Access
Estimating Total Dissolved Solids in Groundwater Using Machine Learning Models
Sumita Gulati, Anshul Bansal, Ashok Pal
Natural Resources Research (2025)
Closed Access
Multi-objective optimization for enhanced digitalization in direct 3D printing: an application in dentistry
Anmol Sharma, Pushpendra S. Bharti, Ashish Kaushik
Clinical Oral Investigations (2025) Vol. 29, Iss. 5
Closed Access
Relative Assessment of Selected Machine Learning Techniques for Predicting Aerodynamic Coefficients of Airfoil
Shakeel Ahmed, Khurram Kamal, Tahir Abdul Hussain Ratlamwala
Iranian Journal of Science and Technology Transactions of Mechanical Engineering (2024)
Closed Access | Times Cited: 3
Prediction of total dissolved solids, based on optimization of new hybrid SVM models
Fatemeh Akhoni Pourhosseini, Kumars Ebrahimi, M H Omid
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 106780-106780
Closed Access | Times Cited: 7
A novel RF-CEEMD-LSTM model for predicting water pollution
Jinlou Ruan, Yang Cui, Yuchen Song, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 7
A Hybrid Model Combined Deep Neural Network and Beluga Whale Optimizer for China Urban Dissolved Oxygen Concentration Forecasting
Tianruo Wang, L. Ding, Daizhou Zhang, et al.
Water (2024) Vol. 16, Iss. 20, pp. 2966-2966
Open Access | Times Cited: 2
A comprehensive review on artificial intelligence in water treatment for optimization. Clean water now and the future
Machodi Mathaba, JeanClaude Banza
Journal of Environmental Science and Health Part A (2023) Vol. 58, Iss. 14, pp. 1047-1060
Open Access | Times Cited: 6
Optimization of Resin Printing Parameters for Improved Surface Roughness Using Metaheuristic Algorithms: A Multifaceted Approach
Anmol Sharma, Pushpendra S. Bharti
Journal of Materials Engineering and Performance (2024)
Closed Access | Times Cited: 2
Soil Heavy-Metal Pollution Prediction Methods Based on Two Improved Neural Network Models
Zhangang Wang, Wenshuai Zhang, Yun-Shan He
Applied Sciences (2023) Vol. 13, Iss. 21, pp. 11647-11647
Open Access | Times Cited: 5
Integration of Flexible Touch Panels and Machine Learning: Applications and Techniques
Jiayue Zheng, Yongyang Chen, Zhiyi Wu, et al.
Advanced Intelligent Systems (2023) Vol. 6, Iss. 3
Open Access | Times Cited: 5
An Artificial Neural Network Framework for Prediction of Chemical Oxygen Demand in Wastewater Treatment Plant
S Ramya, S Srinath, Pushpa Tuppad
Research Square (Research Square) (2024)
Open Access | Times Cited: 1
Water quality level estimation using IoT sensors and probabilistic machine learning model
Mahesh Thyluru Ramakrishna, Surbhi Bhatia, A. Balajee, et al.
Hydrology Research (2024) Vol. 55, Iss. 7, pp. 775-789
Closed Access | Times Cited: 1
Study on the measurement and prediction of the ecological structure for water efficiency in China: from the perspective of “production-living-ecological” function
Yan Tang, Yunpei Cheng, Shan Gao, et al.
Environment Development and Sustainability (2024)
Closed Access | Times Cited: 1
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