Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

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: 45

Showing 1-25 of 45 citing articles:

Developing a novel tool for assessing the groundwater incorporating water quality index and machine learning approach
Abdul Majed Sajib, Mir Talas Mahammad Diganta, Azizur Rahman, et al.
Groundwater for Sustainable Development (2023) Vol. 23, pp. 101049-101049
Open Access | Times Cited: 50
Advances in machine learning and IoT for water quality monitoring: A comprehensive review
Ismail Essamlali, Hasna Nhaila, Mohamed El Khaïli
Heliyon (2024) Vol. 10, Iss. 6, pp. e27920-e27920
Open Access | Times Cited: 25
Assessment of human health risk from potentially toxic elements and predicting groundwater contamination using machine learning approaches
Md Galal Uddin, Md. Hasan Imran, Abdul Majed Sajib, et al.
Journal of Contaminant Hydrology (2024) Vol. 261, pp. 104307-104307
Open Access | Times Cited: 22
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: 37
AI-driven modelling approaches for predicting oxygen levels in aquatic environments
Rosysmita Bikram Singh, Agnieszka I. Olbert, Avinash Samantra, et al.
Journal of Water Process Engineering (2024) Vol. 66, pp. 105940-105940
Open Access | Times Cited: 9
Optimisation and interpretation of machine and deep learning models for improved water quality management in Lake Loktak
Swapan Talukdar, Shahfahad, Somnath Bera, et al.
Journal of Environmental Management (2023) Vol. 351, pp. 119866-119866
Closed Access | Times Cited: 21
Investigation and comparative analysis of ecological risk for heavy metals in sediment and surface water in east coast estuaries of India
Mrunmayee Manjari Sahoo, Janaki Ballav Swain
Marine Pollution Bulletin (2023) Vol. 190, pp. 114894-114894
Closed Access | Times Cited: 17
Water quality fluctuations prediction and Debi estimation based on stochastic optimized weighted ensemble learning machine
Mojtaba Poursaeid, Amir Hossein Poursaeed, Saeid Shabanlou
Process Safety and Environmental Protection (2024) Vol. 188, pp. 1160-1174
Closed Access | Times Cited: 6
Analysis and prediction of groundwater quality using machine learning algorithm for irrigation purposes
Hemant Raheja, Arun Goel, Mahesh Pal
Environmental Earth Sciences (2025) Vol. 84, Iss. 7
Closed Access
Predicting water quality in municipal water management systems using a hybrid deep learning model
Wenxian Luo, Leijun Huang, Jiabin Shu, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108420-108420
Closed Access | Times Cited: 4
Modeling of wetlands storage instabilities using an optimized slffn machine learning using evolutionary computation considering the RROC analysis and PDF techniques
Mojtaba Poursaeid
Earth Science Informatics (2024) Vol. 17, Iss. 4, pp. 3137-3148
Closed Access | Times Cited: 4
Prediction model for coal chemical wastewater quality after catalytic ozonation process treatment based on deep learning algorithm: Performance evaluation and model comparisons
Yihe Qin, Run Yuan, Xuewei Zhang, et al.
Process Safety and Environmental Protection (2025), pp. 107059-107059
Closed Access
Real-time early warning and the prediction of air pollutants for sustainable development in smart cities
Wafaa Mohamed Shaban, Xie Dongxi, Kariman Samir Daef, et al.
Atmospheric Pollution Research (2024) Vol. 15, Iss. 7, pp. 102162-102162
Closed Access | Times Cited: 3
Hybrid deep learning based prediction for water quality of plain watershed
K. H. Wang, Lei Liu, Xuechen Ben, et al.
Environmental Research (2024) Vol. 262, pp. 119911-119911
Closed Access | Times Cited: 3
Optimized deep learning models for effluent prediction in wastewater treatment processes
Canyun Yang, Zhuoyue Guo, Yun Geng, et al.
Environmental Science Water Research & Technology (2024) Vol. 10, Iss. 5, pp. 1208-1218
Closed Access | Times Cited: 2
Innovative interpretable AI-guided water quality evaluation with risk adversarial analysis in river streams considering spatial-temporal effects
Ziyu Lin, Juin Yau Lim, Jong‐Min Oh
Environmental Pollution (2024) Vol. 350, pp. 124015-124015
Closed Access | Times Cited: 2
Construction and application of a novel grey relational analysis model considering factor coupling relationship
Aqin Hu, Naiming Xie
Grey Systems Theory and Application (2024)
Closed Access | Times Cited: 2
Water quality estimates using machine learning techniques in an experimental watershed
David de Andrade Costa, Yared Bayissa, Kargean Vianna Barbosa, et al.
Journal of Hydroinformatics (2024) Vol. 26, Iss. 11, pp. 2798-2814
Closed Access | Times Cited: 2
Optimizing supplier selection for prefabricated components: a comprehensive evaluation
Chengxin Lin, Jun Chen, Feng Chao, et al.
Engineering Construction & Architectural Management (2024)
Closed Access | Times Cited: 2
Improved Water Chlorophyll-A Retrieval Method Based On Mixture Density Networks Using In-Situ Hyperspectral Remote Sensing Data
Alireza Taheri Dehkordi, Mohammad Javad Valadan Zoej, Amir M. Chegoonian, et al.
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium (2023), pp. 3745-3748
Closed Access | Times Cited: 5
A Combined Model for Water Quality Prediction Based on VMD-TCN-ARIMA Optimized by WSWOA
Hongyu Zuo, Xiantai Gou, Xin Wang, et al.
Water (2023) Vol. 15, Iss. 24, pp. 4227-4227
Open Access | Times Cited: 5
Machine learning enabled film pressure sensor to identify surface contacts: An application in surface transmission of infectious disease
Baotian Chang, Jianchao Zhang, Yingying Geng, et al.
Building Simulation (2024) Vol. 17, Iss. 6, pp. 1023-1036
Closed Access | Times Cited: 1
Estimation of water quality in Korattur Lake, Chennai, India, using Bayesian optimization and machine learning
Lingze Zeng
Frontiers in Environmental Science (2024) Vol. 12
Open Access | Times Cited: 1
Prediction of the degradation of organic pollutants by metal-activated peracetic acid using machine learning
Yanjie Xie, Fan Yang, Jiao Liu, et al.
Journal of environmental chemical engineering (2024) Vol. 12, Iss. 5, pp. 113700-113700
Closed Access | Times Cited: 1
Water Quality Parameters Modeling of Thamirabarani River
Sri Dhivya Krishnan K, A. Prabhakaran, K. Danesh, et al.
(2024), pp. 1-6
Closed Access | Times Cited: 1
Page 1 - Next Page

Scroll to top