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:

A coupled model to improve river water quality prediction towards addressing non-stationarity and data limitation
Shengyue Chen, Jinliang Huang, Peng Wang, et al.
Water Research (2023) Vol. 248, pp. 120895-120895
Closed Access | Times Cited: 21

Showing 21 citing articles:

Robust clustering-based hybrid technique enabling reliable reservoir water quality prediction with uncertainty quantification and spatial analysis
Mahmood Fooladi, Mohammad Reza Nikoo, Rasoul Mirghafari, et al.
Journal of Environmental Management (2024) Vol. 362, pp. 121259-121259
Closed Access | Times Cited: 9
An ensemble model for accurate prediction of key water quality parameters in river based on deep learning methods
Yue Zheng, Jun Wei, Wenming Zhang, et al.
Journal of Environmental Management (2024) Vol. 366, pp. 121932-121932
Closed Access | Times Cited: 9
Machine learning-based evolution of water quality prediction model: an integrated robust framework for comparative application on periodic return and jitter data
Xizhi Nong, Yi He, Lihua Chen, et al.
Environmental Pollution (2025), pp. 125834-125834
Closed Access
Prediction of reservoir water levels via an improved attention mechanism based on CNN − LSTM
Haoran Li, Lili Zhang, Yunsheng Yao, et al.
Applied Intelligence (2025) Vol. 55, Iss. 6
Closed Access
Research progress in water quality prediction based on deep learning technology: a review
Wenhao Li, Yin Zhao, Yining Zhu, et al.
Environmental Science and Pollution Research (2024) Vol. 31, Iss. 18, pp. 26415-26431
Closed Access | Times Cited: 3
Machine learning for high-precision simulation of dissolved organic matter in sewer: Overcoming data restrictions with generative adversarial networks
Feng Hou, Shuai Liu, Wanxin Yin, et al.
The Science of The Total Environment (2024) Vol. 947, pp. 174469-174469
Closed Access | Times Cited: 3
Which riverine water quality parameters can be predicted by meteorologically-driven deep learning?
Huang Sheng, Yueling Wang, Jun Xia
The Science of The Total Environment (2024) Vol. 946, pp. 174357-174357
Closed Access | Times Cited: 2
Cathodic electrochemiluminescence of boron and nitrogen-codoped carbon dots for the detection of dissolved oxygen in seawater
Hongye Yang, Yifei Zhang, Wenyue Gao, et al.
Talanta (2024) Vol. 279, pp. 126529-126529
Closed Access | Times Cited: 2
Warmer Winter Under Climate Change Would Reshape the Winter Subsurface Drainage Pattern in Eastern Canada: A Bio-Physical Modeling and Machine Learning Approach
Ziwei Li, Zhiming Qi, Junzeng Xu, et al.
(2024)
Closed Access | Times Cited: 1
Water quality ensemble prediction model for the urban water reservoir based on the hybrid long short-term memory (LSTM) network analysis
Kai He, Yu Liu, Jinlong Yuan, et al.
AQUA - Water Infrastructure Ecosystems and Society (2024) Vol. 73, Iss. 8, pp. 1621-1642
Open Access | Times Cited: 1
A Machine Learning Framework for Enhanced Assessment of Sewer System Operation under Data Constraints and Skewed Distributions
Wanxin Yin, Yuqi Wang, Jia-Qiang Lv, et al.
ACS ES&T Engineering (2024)
Closed Access | Times Cited: 1
Enhancing river water quality in different seasons through management of landscape patterns at various spatial scales
Yang Gu, Pingjiu Zhang, F. Qin, et al.
Journal of Environmental Management (2024) Vol. 373, pp. 123653-123653
Closed Access | Times Cited: 1
Comparative Analysis of Dissolved Oxygen Predictions in the Yellow River Basin Using Different Environmental Predictors Based on Machine Learning
Lingling Liu, Xiaoli Zhao, Lingfeng Zhou, et al.
(2024)
Closed Access
Comparative Analysis of Dissolved Oxygen Predictions in the Yellow River Basin Using Different Environmental Predictors Based on Machine Learning
Lingling Liu, Xiaoli Zhao, Lingfeng Zhou, et al.
(2024)
Closed Access
Dynamic patterns and potential drivers of river water quality in a coastal city: Insights from a machine-learning-based framework and water management
Yi‐Cheng Huang, Shengyue Chen, Xi Tang, et al.
Journal of Environmental Management (2024) Vol. 370, pp. 122911-122911
Closed Access
A Coupled Model for Forecasting Spatiotemporal Variability of Regional Drought in the Mu Us Sandy Land Using a Meta-Heuristic Algorithm
Changfu Tong, Hongfei Hou, Hexiang Zheng, et al.
Land (2024) Vol. 13, Iss. 11, pp. 1731-1731
Open Access
Many-to-many: Domain adaptation for water quality prediction
Si Wang, Min Gao, Huan Wu, et al.
Applied Soft Computing (2024) Vol. 167, pp. 112381-112381
Closed Access
Enhanced prediction of river dissolved oxygen through feature- and model-based transfer learning
Xinlin Chen, Wei Sun, Tao Jiang, et al.
Journal of Environmental Management (2024) Vol. 372, pp. 123310-123310
Closed Access
Does grouping watersheds by hydrographic regions offer any advantages in fine-tuning transfer learning model for temporal and spatial streamflow predictions?
Yegane Khoshkalam, Alain N. Rousseau, Farshid Rahmani, et al.
Journal of Hydrology (2024), pp. 132540-132540
Closed Access
Water Quality Inversion Framework for Taihu Lake Based on Multilayer Denoising Autoencoder and Ensemble Learning
Zhihao Sun, Liang Guo, Zhe Tao, et al.
Remote Sensing (2024) Vol. 16, Iss. 24, pp. 4793-4793
Open Access
Explainable deep learning identifies patterns and drivers of freshwater harmful algal blooms
Shengyue Chen, Jinliang Huang, Jiacong Huang, et al.
Environmental Science and Ecotechnology (2024) Vol. 23, pp. 100522-100522
Open Access
Attention-based deep learning framework for urban flood damage and risk assessment with improved flood prediction and land use segmentation
Zuxiang Situ, Qisheng Zhong, Jianliang Zhang, et al.
International Journal of Disaster Risk Reduction (2024), pp. 105165-105165
Closed Access
Page 1

Scroll to top