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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:

Modeling dissolved oxygen concentration using machine learning techniques with dimensionality reduction approach
Farid Hassanbaki Garabaghi, Semra Benzer, Recep Benzer
Environmental Monitoring and Assessment (2023) Vol. 195, Iss. 7
Closed Access | Times Cited: 14

Showing 14 citing articles:

Enhancing prediction of dissolved oxygen over Santa Margarita River: Long short-term memory incorporated with multi-objective observer-teacher-learner optimization
Siyamak Doroudi, Yusef Kheyruri, Ahmad Sharafati, et al.
Journal of Water Process Engineering (2025) Vol. 70, pp. 106969-106969
Closed Access | Times Cited: 1
Integrated PCA–RNN approach for surface water quality assessment in the Mahanadi river system
Rosysmita Bikram Singh, Kanhu Charan Patra
International Journal of Environmental Science and Technology (2024) Vol. 21, Iss. 11, pp. 7701-7716
Closed Access | Times Cited: 9
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
Dissolved Oxygen Modeling by a Bayesian-Optimized Explainable Artificial Intelligence Approach
Qiulin Li, Jinchao He, Dewei Mu, et al.
Applied Sciences (2025) Vol. 15, Iss. 3, pp. 1471-1471
Open Access
Study on the Impact of Input Parameters on Seawater Dissolved Oxygen Prediction Models
Wenqing Li, Jing Lv, Yuhang Wang, et al.
Journal of Marine Science and Engineering (2025) Vol. 13, Iss. 3, pp. 536-536
Open Access
A hybrid water quality prediction model based on variational mode decomposition and bidirectional gated recursive unit
Jiange Jiao, Qianqian Ma, Senjun Huang, et al.
Water Science & Technology (2024) Vol. 89, Iss. 9, pp. 2273-2289
Open Access | Times Cited: 2
A novel hybrid deep learning model for real-time monitoring of water pollution using sensor data
Majid Bagheri, Karim Bagheri, Nakisa Farshforoush, et al.
Journal of Water Process Engineering (2024) Vol. 68, pp. 106595-106595
Closed Access | Times Cited: 2
Estimation of water quality parameters based on time series hydrometeorological data in Miaowan Island
Yuanning Zheng, Li Cai, Xianqing Zhang, et al.
Ecological Indicators (2024) Vol. 159, pp. 111693-111693
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
A multi-model ensemble approach for reservoir dissolved oxygen forecasting based on feature screening and machine learning
Peng Zhang, Xinyang Liu, Huancheng Dai, et al.
Ecological Indicators (2024) Vol. 166, pp. 112413-112413
Open Access | Times Cited: 1
Comparing Artificial Neural Networks and Regression-based Methods for Modeling Daily Dissolved Oxygen Concentration: A Study Based on Long-term Monitored Data
Sinan Nacar, Betül Mete, Adem Bayram
KSCE Journal of Civil Engineering (2024) Vol. 28, Iss. 11, pp. 4813-4824
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
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
Applying self-powered sensor and support vector machine in load energy consumption modeling and prediction of relational database
Dexian Yang, Jiong Yu, Zhenzhen He, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 1
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