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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:

Determining quality of water in reservoir using machine learning
Jui‐Sheng Chou, Chia-Chun Ho, Ha-Son Hoang
Ecological Informatics (2018) Vol. 44, pp. 57-75
Closed Access | Times Cited: 128

Showing 1-25 of 128 citing articles:

Assessment and management of lake eutrophication: A case study in Lake Erhai, China
Song-Shun Lin, Shui‐Long Shen, Annan Zhou, et al.
The Science of The Total Environment (2020) Vol. 751, pp. 141618-141618
Closed Access | Times Cited: 279
Groundwater quality forecasting using machine learning algorithms for irrigation purposes
Ali El Bilali, Abdeslam Taleb, Youssef Brouziyne
Agricultural Water Management (2020) Vol. 245, pp. 106625-106625
Closed Access | Times Cited: 243
Forecasting energy consumption time series using machine learning techniques based on usage patterns of residential householders
Jui‐Sheng Chou, Duc-Son Tran
Energy (2018) Vol. 165, pp. 709-726
Closed Access | Times Cited: 212
A critical review on water quality index tool: Genesis, evolution and future directions
Suyog Gupta, Sunil Kumar Gupta
Ecological Informatics (2021) Vol. 63, pp. 101299-101299
Closed Access | Times Cited: 115
Indices and models of surface water quality assessment: Review and perspectives
Tao Yan, Shui‐Long Shen, Annan Zhou
Environmental Pollution (2022) Vol. 308, pp. 119611-119611
Closed Access | Times Cited: 113
Predicting Water Quality Index (WQI) by feature selection and machine learning: A case study of An Kim Hai irrigation system
Bui Quoc Lap, Thi-Thu-Hong Phan, Huu Du Nguyen, et al.
Ecological Informatics (2023) Vol. 74, pp. 101991-101991
Closed Access | Times Cited: 90
Predicting lake water quality index with sensitivity-uncertainty analysis using deep learning algorithms
Swapan Talukdar, Shahfahad, Shakeel Ahmed, et al.
Journal of Cleaner Production (2023) Vol. 406, pp. 136885-136885
Closed Access | Times Cited: 63
A stacking ANN ensemble model of ML models for stream water quality prediction of Godavari River Basin, India
Nagalapalli Satish, Jagadeesh Anmala, K. Rajitha, et al.
Ecological Informatics (2024) Vol. 80, pp. 102500-102500
Open Access | Times Cited: 25
Recent Advances in Information and Communications Technology (ICT) and Sensor Technology for Monitoring Water Quality
Jungsu Park, Keugtae Kim, Woo Hyoung Lee
Water (2020) Vol. 12, Iss. 2, pp. 510-510
Open Access | Times Cited: 136
IoT based smart water management systems: A systematic review
Manmeet Singh, Suhaib Ahmed
Materials Today Proceedings (2020) Vol. 46, pp. 5211-5218
Closed Access | Times Cited: 104
Prediction of surface water total dissolved solids using hybridized wavelet-multigene genetic programming: New approach
Mehdi Jamei, Iman Ahmadianfar, Xuefeng Chu, et al.
Journal of Hydrology (2020) Vol. 589, pp. 125335-125335
Closed Access | Times Cited: 86
Application of Machine Learning for eutrophication analysis and algal bloom prediction in an urban river: A 10-year study of the Han River, South Korea
Quang Viet Ly, Xuan Cuong Nguyen, Ngoc C. Lê, et al.
The Science of The Total Environment (2021) Vol. 797, pp. 149040-149040
Closed Access | Times Cited: 76
Prediction of long-term water quality using machine learning enhanced by Bayesian optimisation
Tao Yan, Annan Zhou, Shui‐Long Shen
Environmental Pollution (2022) Vol. 318, pp. 120870-120870
Closed Access | Times Cited: 56
Water Quality Index Classification Based on Machine Learning: A Case from the Langat River Basin Model
Illa Iza Suhana Shamsuddin, Zalinda Othman, Nor Samsiah Sani
Water (2022) Vol. 14, Iss. 19, pp. 2939-2939
Open Access | Times Cited: 44
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: 43
Combination of discretization regression with data-driven algorithms for modeling irrigation water quality indices
Dimple Dimple, Pradeep Kumar Singh, Jitendra Rajput, et al.
Ecological Informatics (2023) Vol. 75, pp. 102093-102093
Closed Access | Times Cited: 34
Metaheuristic approaches for prediction of water quality indices with relief algorithm-based feature selection
Nand Lal Kushwaha, Jitendra Rajput, Truptimayee Suna, et al.
Ecological Informatics (2023) Vol. 75, pp. 102122-102122
Closed Access | Times Cited: 32
Forecasting water quality variable using deep learning and weighted averaging ensemble models
Mohammad Zamani, Mohammad Reza Nikoo, Sina Jahanshahi, et al.
Environmental Science and Pollution Research (2023) Vol. 30, Iss. 59, pp. 124316-124340
Closed Access | Times Cited: 23
Deep learning for Multi-horizon Water levelForecasting in KRS reservoir, India
Abhinav Dayal, Sridevi Bonthu, Vamsi Nagaraju T, et al.
Results in Engineering (2024) Vol. 21, pp. 101828-101828
Open Access | Times Cited: 15
Stacked hybridization to enhance the performance of artificial neural networks (ANN) for prediction of water quality index in the Bagh river basin, India
Nand Lal Kushwaha, Nanabhau S. Kudnar, Dinesh Kumar Vishwakarma, et al.
Heliyon (2024) Vol. 10, Iss. 10, pp. e31085-e31085
Open Access | Times Cited: 11
Robust clustering-based hybrid technique enabling reliable reservoir water quality prediction with uncertainty quantification and spatial analysis
Mahmood Fooladi, Mohammad Reza Nikoo, Rasoul Mirghafari, et al.
Journal of Environmental Management (2024) Vol. 362, pp. 121259-121259
Closed Access | Times Cited: 11
Forecasting biochemical oxygen demand (BOD) in River Ganga: a case study employing supervised machine learning and ANN techniques
Rohan Mishra, Rupanjali Singh, C. B. Majumder
Sustainable Water Resources Management (2025) Vol. 11, Iss. 1
Closed Access | Times Cited: 1
Artificial Intelligence and Sustainable Development in China
Subin Liengpunsakul
Chinese Economy (2021) Vol. 54, Iss. 4, pp. 235-248
Closed Access | Times Cited: 48
Prediction of Water Quality Index in Drinking Water Distribution System Using Activation Functions Based Ann
S. Vijay, K. Kamaraj
Water Resources Management (2021) Vol. 35, Iss. 2, pp. 535-553
Closed Access | Times Cited: 45
A framework based on multivariate distribution-based virtual sample generation and DNN for predicting water quality with small data
Ali El Bilali, Houda Lamane, Abdeslam Taleb, et al.
Journal of Cleaner Production (2022) Vol. 368, pp. 133227-133227
Closed Access | Times Cited: 35
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