
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
Jui‐Sheng Chou, Chia-Chun Ho, Ha-Son Hoang
Ecological Informatics (2018) Vol. 44, pp. 57-75
Closed Access | Times Cited: 128
Showing 26-50 of 128 citing articles:
Decision tree models in predicting water quality parameters of dissolved oxygen and phosphorus in lake water
Faezeh Gorgan-Mohammadi, Taher Rajaee, Mohammad Zounemat‐Kermani
Sustainable Water Resources Management (2022) Vol. 9, Iss. 1
Closed Access | Times Cited: 33
Faezeh Gorgan-Mohammadi, Taher Rajaee, Mohammad Zounemat‐Kermani
Sustainable Water Resources Management (2022) Vol. 9, Iss. 1
Closed Access | Times Cited: 33
Comparison of machine learning models to provide preliminary forecasts of real estate prices
Jui‐Sheng Chou, Dillon-Brandon Fleshman, Dinh‐Nhat Truong
Journal of Housing and the Built Environment (2022) Vol. 37, Iss. 4, pp. 2079-2114
Closed Access | Times Cited: 29
Jui‐Sheng Chou, Dillon-Brandon Fleshman, Dinh‐Nhat Truong
Journal of Housing and the Built Environment (2022) Vol. 37, Iss. 4, pp. 2079-2114
Closed Access | Times Cited: 29
Pattern detection and prediction using deep learning for intelligent decision support to identify fish behaviour in aquaculture
S Shreesha, M. M. Manohara Pai, Radhika M. Pai, et al.
Ecological Informatics (2023) Vol. 78, pp. 102287-102287
Closed Access | Times Cited: 18
S Shreesha, M. M. Manohara Pai, Radhika M. Pai, et al.
Ecological Informatics (2023) Vol. 78, pp. 102287-102287
Closed Access | Times Cited: 18
Identification of pollution source and prediction of water quality based on deep learning techniques
Junping Wang, Baolin Xue, Yuntao Wang, et al.
Journal of Contaminant Hydrology (2023) Vol. 261, pp. 104287-104287
Closed Access | Times Cited: 18
Junping Wang, Baolin Xue, Yuntao Wang, et al.
Journal of Contaminant Hydrology (2023) Vol. 261, pp. 104287-104287
Closed Access | Times Cited: 18
Water Quality Assessment with Artificial Neural Network Models: Performance Comparison Between SMN, MLP and PS-ANN Methodologies
Hakan Işık, Tamer Akkan
Arabian Journal for Science and Engineering (2024)
Open Access | Times Cited: 7
Hakan Işık, Tamer Akkan
Arabian Journal for Science and Engineering (2024)
Open Access | Times Cited: 7
Analysis and Prediction of Dammed Water Level in a Hydropower Reservoir Using Machine Learning and Persistence-Based Techniques
C. Castillo-Botón, David Casillas-Pérez, C. Casanova‐Mateo, et al.
Water (2020) Vol. 12, Iss. 6, pp. 1528-1528
Open Access | Times Cited: 40
C. Castillo-Botón, David Casillas-Pérez, C. Casanova‐Mateo, et al.
Water (2020) Vol. 12, Iss. 6, pp. 1528-1528
Open Access | Times Cited: 40
Applications of IoT and Artificial Intelligence in Water Quality Monitoring and Prediction: A Review
Hauwa Mohammed Mustafa, Aisha Mustapha, Gasim Hayder, et al.
(2021), pp. 968-975
Closed Access | Times Cited: 36
Hauwa Mohammed Mustafa, Aisha Mustapha, Gasim Hayder, et al.
(2021), pp. 968-975
Closed Access | Times Cited: 36
Research on a multiparameter water quality prediction method based on a hybrid model
Zhiqiang Zheng, Hao Ding, Zhi Weng, et al.
Ecological Informatics (2023) Vol. 76, pp. 102125-102125
Closed Access | Times Cited: 16
Zhiqiang Zheng, Hao Ding, Zhi Weng, et al.
Ecological Informatics (2023) Vol. 76, pp. 102125-102125
Closed Access | Times Cited: 16
Water contamination analysis in IoT enabled aquaculture using deep learning based AODEGRU
Arepalli Peda Gopi, K. Jairam Naik
Ecological Informatics (2023) Vol. 79, pp. 102405-102405
Open Access | Times Cited: 16
Arepalli Peda Gopi, K. Jairam Naik
Ecological Informatics (2023) Vol. 79, pp. 102405-102405
Open Access | Times Cited: 16
Advancements of remote data acquisition and processing in unmanned vehicle technologies for water quality monitoring: An extensive review
Da Yun Kwon, Jungbin Kim, Seongyeol Park, et al.
Chemosphere (2023) Vol. 343, pp. 140198-140198
Closed Access | Times Cited: 15
Da Yun Kwon, Jungbin Kim, Seongyeol Park, et al.
Chemosphere (2023) Vol. 343, pp. 140198-140198
Closed Access | Times Cited: 15
Machine learning models for prediction of nutrient concentrations in surface water in an agricultural watershed
Ahmed Elsayed, Sarah Rixon, Jana Levison, et al.
Journal of Environmental Management (2024) Vol. 372, pp. 123305-123305
Open Access | Times Cited: 5
Ahmed Elsayed, Sarah Rixon, Jana Levison, et al.
Journal of Environmental Management (2024) Vol. 372, pp. 123305-123305
Open Access | Times Cited: 5
Establishment of season-specific nutrient thresholds and analyses of the effects of nutrient management in eutrophic lakes through statistical machine learning
Yindong Tong, Xiwen Xu, Shuliang Zhang, et al.
Journal of Hydrology (2019) Vol. 578, pp. 124079-124079
Closed Access | Times Cited: 41
Yindong Tong, Xiwen Xu, Shuliang Zhang, et al.
Journal of Hydrology (2019) Vol. 578, pp. 124079-124079
Closed Access | Times Cited: 41
Prediction of sodium adsorption ratio and chloride concentration in a coastal aquifer under seawater intrusion using machine learning models
Ali El Bilali, Abdeslam Taleb, Ayoub Nafii, et al.
Environmental Technology & Innovation (2021) Vol. 23, pp. 101641-101641
Closed Access | Times Cited: 28
Ali El Bilali, Abdeslam Taleb, Ayoub Nafii, et al.
Environmental Technology & Innovation (2021) Vol. 23, pp. 101641-101641
Closed Access | Times Cited: 28
Reliable Model of Reservoir Water Quality Prediction Based on Improved ARIMA Method
Jing Wang, Liyuan Zhang, Wen Zhang, et al.
Environmental Engineering Science (2019) Vol. 36, Iss. 9, pp. 1041-1048
Closed Access | Times Cited: 31
Jing Wang, Liyuan Zhang, Wen Zhang, et al.
Environmental Engineering Science (2019) Vol. 36, Iss. 9, pp. 1041-1048
Closed Access | Times Cited: 31
Limited progress in nutrient pollution in the U.S. caused by spatially persistent nutrient sources
Rebecca J. Frei, Gabriella M. Lawson, A. J. Norris, et al.
PLoS ONE (2021) Vol. 16, Iss. 11, pp. e0258952-e0258952
Open Access | Times Cited: 27
Rebecca J. Frei, Gabriella M. Lawson, A. J. Norris, et al.
PLoS ONE (2021) Vol. 16, Iss. 11, pp. e0258952-e0258952
Open Access | Times Cited: 27
Treatment of Hospital wastewater with submerged aerobic fixed film reactor coupled with tube-settler
Nadeem A. Khan, Awais Bokhari, Muhammad Mubashir, et al.
Chemosphere (2021) Vol. 286, pp. 131838-131838
Closed Access | Times Cited: 24
Nadeem A. Khan, Awais Bokhari, Muhammad Mubashir, et al.
Chemosphere (2021) Vol. 286, pp. 131838-131838
Closed Access | Times Cited: 24
Application of deep learning and machine learning methods in water quality modeling and prediction: a review
Ugochukwu Ewuzie, Oladotun P. Bolade, Abisola O. Egbedina
Elsevier eBooks (2022), pp. 185-218
Closed Access | Times Cited: 19
Ugochukwu Ewuzie, Oladotun P. Bolade, Abisola O. Egbedina
Elsevier eBooks (2022), pp. 185-218
Closed Access | Times Cited: 19
A new petrophysical-mathematical approach to estimate RQI and FZI parameters in carbonate reservoirs
Farshad Sadeghpour, Kamran Jahangiri, Javad Honarmand
Journal of Petroleum Exploration and Production Technology (2025) Vol. 15, Iss. 3
Open Access
Farshad Sadeghpour, Kamran Jahangiri, Javad Honarmand
Journal of Petroleum Exploration and Production Technology (2025) Vol. 15, Iss. 3
Open Access
Modeling the Influence of Climate Change on the Water Quality of Doğancı Dam in Bursa, Turkey, Using Artificial Neural Networks
Aslıhan Kâti̇p, Asifa Anwar
Water (2025) Vol. 17, Iss. 5, pp. 728-728
Open Access
Aslıhan Kâti̇p, Asifa Anwar
Water (2025) Vol. 17, Iss. 5, pp. 728-728
Open Access
Regression-based machine learning models for nitrate and chloride prediction in surface water in a small agricultural sand plain sub-watershed in southwestern Ontario, Canada
Ahmed Elsayed, Jana Levison, Andrew Binns, et al.
Frontiers in Environmental Science (2025) Vol. 13
Open Access
Ahmed Elsayed, Jana Levison, Andrew Binns, et al.
Frontiers in Environmental Science (2025) Vol. 13
Open Access
Towards Safer Water: AI-Driven Predictive Analytics for Disease Detection
Jaya Zalte, Harshal Shah
Research Square (Research Square) (2025)
Open Access
Jaya Zalte, Harshal Shah
Research Square (Research Square) (2025)
Open Access
A review of machine learning, remote sensing, and statistical methods for reservoir water quality assessment
Mohammad Reza Nikoo, Abrar Al Aamri, Talal Etri, et al.
Journal of Hydrology (2025), pp. 133323-133323
Closed Access
Mohammad Reza Nikoo, Abrar Al Aamri, Talal Etri, et al.
Journal of Hydrology (2025), pp. 133323-133323
Closed Access
Machine Learning Prediction of Allelochemical Inhibition Ratio (IR) on Microcystis aeruginosa Growth
Zobia Khatoon, Suiliang Huang, Zhixing Guo, et al.
Groundwater for Sustainable Development (2025), pp. 101448-101448
Closed Access
Zobia Khatoon, Suiliang Huang, Zhixing Guo, et al.
Groundwater for Sustainable Development (2025), pp. 101448-101448
Closed Access
Advancements in Machine Learning‐Enhanced Green Wireless Sensor Networks: A Comprehensive Survey on Energy Efficiency, Network Performance, and Future Directions
Kofi Sarpong Adu-Manu, Emmanuel Amoako, Felicia Engmann
Journal of Sensors (2025) Vol. 2025, Iss. 1
Open Access
Kofi Sarpong Adu-Manu, Emmanuel Amoako, Felicia Engmann
Journal of Sensors (2025) Vol. 2025, Iss. 1
Open Access
Synergistic Effects of Environmental Factors on Benthic Diversity: Machine Learning Analysis
Yiyang Feng, Mengyu Yang, Hao Chen, et al.
Water Research (2025) Vol. 282, pp. 123789-123789
Closed Access
Yiyang Feng, Mengyu Yang, Hao Chen, et al.
Water Research (2025) Vol. 282, pp. 123789-123789
Closed Access