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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:

Hybrid machine learning models for prediction of daily dissolved oxygen
Aliasghar Azma, Yakun Liu, Masoumeh Azma, et al.
Journal of Water Process Engineering (2023) Vol. 54, pp. 103957-103957
Closed Access | Times Cited: 22

Showing 22 citing articles:

A deep learning interpretable model for river dissolved oxygen multi-step and interval prediction based on multi-source data fusion
Zhaocai Wang, Qingyu Wang, Zhixiang Liu, et al.
Journal of Hydrology (2024) Vol. 629, pp. 130637-130637
Closed Access | Times Cited: 63
Development of improved deep learning models for multi-step ahead forecasting of daily river water temperature
Mehdi Gheisari, Jana Shafi, Saeed Kosari, et al.
Engineering Applications of Computational Fluid Mechanics (2025) Vol. 19, Iss. 1
Open Access | Times Cited: 1
Enhanced energy dissipation prediction in modified semi-cylindrical weirs using machine learning techniques
Ehsan Afaridegan, Reza Fatahi-Alkouhi, Soudabeh Khalilian, et al.
Modeling Earth Systems and Environment (2025) Vol. 11, Iss. 2
Closed Access | Times Cited: 1
Energy consumption prediction in water treatment plants using deep learning with data augmentation
Fouzi Harrou, Abdelkader Dairi, Abdelhakim Dorbane, et al.
Results in Engineering (2023) Vol. 20, pp. 101428-101428
Open Access | Times Cited: 35
Temporal prediction of dissolved oxygen based on CEEMDAN and multi-strategy LSTM hybrid model
Kiyoumars Roushangar, Sina Davoudi, Saman Shahnazi
Environmental Earth Sciences (2024) Vol. 83, Iss. 6
Closed Access | Times Cited: 7
Predicting dissolved oxygen level using Young's double-slit experiment optimizer-based weighting model
Ying Dong, Yuhuan Sun, Zhenkun Liu, et al.
Journal of Environmental Management (2023) Vol. 351, pp. 119807-119807
Closed Access | Times Cited: 16
Dissolved Oxygen Forecasting for Lake Erie’s Central Basin Using Hybrid Long Short-Term Memory and Gated Recurrent Unit Networks
Daiwei Pan, Yue Zhang, Ying Deng, et al.
Water (2024) Vol. 16, Iss. 5, pp. 707-707
Open Access | Times Cited: 6
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
Enhanced water quality prediction model using advanced hybridized resampling alternating tree-based and deep learning algorithms
Khabat Khosravi, Aitazaz A. Farooque, Masoud Karbasi, et al.
Environmental Science and Pollution Research (2025)
Closed Access
Atom Search Optimization: a comprehensive review of its variants, applications, and future directions
M.A. El‐Shorbagy, Anas Bouaouda, Laith Abualigah, et al.
PeerJ Computer Science (2025) Vol. 11, pp. e2722-e2722
Open Access
Multi-step ahead dissolved oxygen concentration prediction based on knowledge guided ensemble learning and explainable artificial intelligence
Tunhua Wu, Zhaocai Wang, Jinghan Dong, et al.
Journal of Hydrology (2024) Vol. 636, pp. 131297-131297
Closed Access | Times Cited: 3
A long-term multivariate time series prediction model for dissolved oxygen
Jingzhe Hu, Peixuan Wang, Dashe Li, et al.
Ecological Informatics (2024) Vol. 82, pp. 102695-102695
Open Access | Times Cited: 3
Predicting water quality through daily concentration of dissolved oxygen using improved artificial intelligence
Jiahao Yang
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 7
Rapid Real-Time Prediction Techniques for Ammonia and Nitrite in High-Density Shrimp Farming in Recirculating Aquaculture Systems
Fudi Chen, Tianlong Qiu, Jianping Xu, et al.
Fishes (2024) Vol. 9, Iss. 10, pp. 386-386
Open Access | Times Cited: 2
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
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
EDMNet: unveiling the power of machine learning in regression modeling of powder mixed-EDM
Mohsen Asghari Ilani, Yaser M. Banadaki
The International Journal of Advanced Manufacturing Technology (2024)
Closed Access | Times Cited: 1
Luffa–Ni/Al layered double hydroxide bio-nanocomposite for efficient ibuprofen removal from aqueous solution: kinetic, equilibrium, thermodynamic studies and GEP modeling
Soheil Tavassoli, Afsaneh Mollahosseini, Saeed Damiri, et al.
Heliyon (2024) Vol. 11, Iss. 1, pp. e40783-e40783
Open Access | Times Cited: 1
Sequential GP-UCB Bayesian Optimization for Deep Neural Network Fine-Tuning in Dissolved Oxygen Prediction
Farid Hassanbaki Garabaghi, Semra Benzer, Recep Benzer
Research Square (Research Square) (2024)
Open Access
River Dissolved Oxygen Prediction Using Machine Learning Models with Wireless Sensor Measurements
Mengjie He, Qin Qian, Xinyu Liu, et al.
(2024)
Closed Access
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
Enhancing accurate prediction of soil permeability coefficients using data-driven approaches for soil and water conservation
Liancong Luo, Di Guan, Zhen Wang
Multiscale and Multidisciplinary Modeling Experiments and Design (2024) Vol. 8, Iss. 1
Closed Access
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