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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:

The development of dissolved oxygen forecast model using hybrid machine learning algorithm with hydro-meteorological variables
A. A. Masrur Ahmed, S. Janifer Jabin Jui, Mohammad Aktarul Islam Chowdhury, et al.
Environmental Science and Pollution Research (2022) Vol. 30, Iss. 3, pp. 7851-7873
Open Access | Times Cited: 18

Showing 18 citing articles:

Intelligent Prediction and Continuous Monitoring of Water Quality in Aquaculture: Integration of Machine Learning and Internet of Things for Sustainable Management
Rubén Baena-Navarro, Yulieth Carriazo-Regino, Francisco Torres-Hoyos, et al.
Water (2025) Vol. 17, Iss. 1, pp. 82-82
Open Access | Times Cited: 2
Dissolved Oxygen Forecasting in the Mississippi River: Advanced Ensemble Machine Learning Models
Francesco Granata, Senlin Zhu, Fabio Di Nunno
Environmental Science Advances (2024) Vol. 3, Iss. 11, pp. 1537-1551
Open Access | Times Cited: 8
A new real-time groundwater level forecasting strategy: Coupling hybrid data-driven models with remote sensing data
Qixiao Zhang, Peiyue Li, Xiaofei Ren, et al.
Journal of Hydrology (2023) Vol. 625, pp. 129962-129962
Closed Access | Times Cited: 15
Explainable machine learning models for estimating daily dissolved oxygen concentration of the Tualatin River
Shuguang Li, Sultan Noman Qasem, Shahab S. Band, et al.
Engineering Applications of Computational Fluid Mechanics (2024) Vol. 18, Iss. 1
Open Access | Times Cited: 5
Synergistic optimization of predictive models for water quality analysis in treatment plants using machine learning and evolutionary algorithms
Ahmed Ghareeb, Orhan Nooruldeen, Chelang A. Arslan, et al.
Evolutionary Intelligence (2025) Vol. 18, Iss. 2
Closed Access
Exploring AI approaches for predicting groundwater levels in coastal agro-climatic zones: a case study in Cuttack District, Odisha
S.K. Panda, Chittaranjan Dalai, Abinash Sahoo, et al.
Discover Geoscience (2024) Vol. 2, Iss. 1
Open 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
Studies on the conservation and sustainability challenges of the wetland resources of the Baro-Akobo River Basin in Gambella and Benishangul-Gumuz regions, Ethiopia
Brook Lemma, Binyam Tesfaw, Hayal Desta, et al.
Heliyon (2024) Vol. 10, Iss. 15, pp. e35371-e35371
Open Access | Times Cited: 2
Dissolved Oxygen Concentration Prediction Model Based on WT-MIC-GRU—A Case Study in Dish-Shaped Lakes of Poyang Lake
Dianwei Chi, Qi Huang, Lizhen Liu
Entropy (2022) Vol. 24, Iss. 4, pp. 457-457
Open Access | Times Cited: 8
Improving Multivariate Runoff Prediction Through Multistage Novel Hybrid Models
Muhammad Sibtain, Xianshan Li, Fei Li, et al.
Water Resources Management (2024) Vol. 38, Iss. 7, pp. 2545-2564
Open Access | Times Cited: 1
Enhanced Predictive Modeling of Dissolved Oxygen Concentrations in Riverine Systems Using Novel Hybrid Temporal Pattern Attention Deep Neural Networks
Ali Saber, Sadra Shadkani, Yousef Hemmatzadeh, et al.
(2024)
Closed Access | Times Cited: 1
An integrated deep learning approach for modeling dissolved oxygen concentration at coastal inlets based on hydro-climatic parameters
Mohamed T. Elnabwy, Abdullah H. Alshahri, Ayman Elgamal
Journal of Environmental Management (2024) Vol. 367, pp. 122018-122018
Closed Access | Times Cited: 1
Enhanced Predictive Modeling of Dissolved Oxygen Concentrations in Riverine Systems Using Novel Hybrid Temporal Pattern Attention Deep Neural Networks
Sadra Shadkani, Yousef Hemmatzadeh, Ali Saber, et al.
Environmental Research (2024), pp. 120015-120015
Closed Access | Times Cited: 1
Recent Progress on Surface Water Quality Models Utilizing Machine Learning Techniques
Mengjie He, Qin Qian, Xinyu Liu, et al.
Water (2024) Vol. 16, Iss. 24, pp. 3616-3616
Open Access | Times Cited: 1
Data-Driven Models’ Integration for Evaluating Coastal Eutrophication: A Case Study for Cyprus
Ekaterini Hadjisolomou, Maria Rousou, Konstantinos D. Antoniadis, et al.
(2023)
Open Access | Times Cited: 3
A novel interpretable hybrid model for multi-step ahead dissolved oxygen forecasting in the Mississippi River basin
Hassan M. Alwan, Mehdi Mohammadi Ghaleni, Mahnoosh Moghaddasi, et al.
Stochastic Environmental Research and Risk Assessment (2024)
Closed Access
Data-Driven Models for Evaluating Coastal Eutrophication: A Case Study for Cyprus
Ekaterini Hadjisolomou, Maria Rousou, Konstantinos D. Antoniadis, et al.
Water (2023) Vol. 15, Iss. 23, pp. 4097-4097
Open Access | Times Cited: 1
Application of Machine Learning Techniques in Hydrometeorological Event Prediction
Anna Msigwa, Ayodeji Samuel Makinde
Advances in environmental engineering and green technologies book series (2023), pp. 135-161
Closed Access
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