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:
Forecasting DO of the river-type reservoirs using input variable selection and machine learning techniques - taking Shuikou reservoir in the Minjiang River as an example
Peng Zhang, S. Mei, Chengchun Shi, et al.
Ecological Indicators (2023) Vol. 155, pp. 110995-110995
Open Access | Times Cited: 6
Peng Zhang, S. Mei, Chengchun Shi, et al.
Ecological Indicators (2023) Vol. 155, pp. 110995-110995
Open Access | Times Cited: 6
Showing 6 citing articles:
Optimized SVR model for predicting dissolved oxygen levels using wavelet denoising and variable reduction: Taking the Minjiang River estuary as an example
Peng Zhang, Xinyang Liu, Huiru Zhang, et al.
Ecological Informatics (2025) Vol. 86, pp. 103007-103007
Open Access | Times Cited: 1
Peng Zhang, Xinyang Liu, Huiru Zhang, et al.
Ecological Informatics (2025) Vol. 86, pp. 103007-103007
Open Access | Times Cited: 1
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
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 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
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
Peng Zhang, Xinyang Liu, Huancheng Dai, et al.
Ecological Indicators (2024) Vol. 166, pp. 112413-112413
Open 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
Sadra Shadkani, Yousef Hemmatzadeh, Ali Saber, et al.
Environmental Research (2024), pp. 120015-120015
Closed Access | Times Cited: 1
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
Hassan M. Alwan, Mehdi Mohammadi Ghaleni, Mahnoosh Moghaddasi, et al.
Stochastic Environmental Research and Risk Assessment (2024)
Closed Access
