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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:

An improved graph convolutional network with feature and temporal attention for multivariate water quality prediction
Qingjian Ni, Xuehan Cao, Chaoqun Tan, et al.
Environmental Science and Pollution Research (2022) Vol. 30, Iss. 5, pp. 11516-11529
Closed Access | Times Cited: 32

Showing 1-25 of 32 citing articles:

Hybrid WT–CNN–GRU-based model for the estimation of reservoir water quality variables considering spatio-temporal features
Mohammad Zamani, Mohammad Reza Nikoo, Ghazi Al-Rawas, et al.
Journal of Environmental Management (2024) Vol. 358, pp. 120756-120756
Closed Access | Times Cited: 22
Interpretable prediction, classification and regulation of water quality: A case study of Poyang Lake, China
Zhiyuan Yao, Zhaocai Wang, Jinghan Huang, et al.
The Science of The Total Environment (2024) Vol. 951, pp. 175407-175407
Closed Access | Times Cited: 20
A novel deep learning ensemble model based on two-stage feature selection and intelligent optimization for water quality prediction
Wenli Liu, Tianxiang Liu, Zihan Liu, et al.
Environmental Research (2023) Vol. 224, pp. 115560-115560
Closed Access | Times Cited: 36
Forecasting water quality variable using deep learning and weighted averaging ensemble models
Mohammad Zamani, Mohammad Reza Nikoo, Sina Jahanshahi, et al.
Environmental Science and Pollution Research (2023) Vol. 30, Iss. 59, pp. 124316-124340
Closed Access | Times Cited: 22
Multivariate time series prediction with multi-feature analysis
Junfeng Chen, Azhu Guan, Jingjing Du, et al.
Expert Systems with Applications (2025) Vol. 268, pp. 126302-126302
Closed Access | Times Cited: 1
State of charge prediction for lithium-ion batteries based on multi-process scale encoding and adaptive graph convolution
Hongyan Wang, Wei Wu, Langfu Cui, et al.
Journal of Energy Storage (2025) Vol. 113, pp. 115482-115482
Closed Access | Times Cited: 1
Water quality prediction using LSTM with combined normalizer for efficient water management
N. Mahesh, J. Jagan Babu, K. Nithya, et al.
Desalination and Water Treatment (2024) Vol. 317, pp. 100183-100183
Open Access | Times Cited: 6
Analysis of River Management Method Based on Improved Bidirectional Long Short-Term Memory Network for Water Quality Prediction
Zhongya Wang, Shuang Liu
Water Conservation Science and Engineering (2025) Vol. 10, Iss. 1
Closed Access
An improved graph neural network integrating indicator attention and spatio-temporal correlation for dissolved oxygen prediction
Fei Ding, Shilong Hao, Mingcen Jiang, et al.
Ecological Informatics (2025), pp. 103126-103126
Open Access
Multivariate Time-Series Forecasting: A Review of Deep Learning Methods in Internet of Things Applications to Smart Cities
Vasilis Papastefanopoulos, Pantelis Linardatos, Theodor Panagiotakopoulos, et al.
Smart Cities (2023) Vol. 6, Iss. 5, pp. 2519-2552
Open Access | Times Cited: 11
Water quality prediction of artificial intelligence model: a case of Huaihe River Basin, China
Jing Chen, H. Li, Manirankunda Felix, et al.
Environmental Science and Pollution Research (2024) Vol. 31, Iss. 10, pp. 14610-14640
Closed Access | Times Cited: 3
Prediction of CODMn concentration in lakes based on spatiotemporal feature screening and interpretable learning methods - A study of Changdang Lake, China
Juan Huan, Yongchun Zheng, Xiangen Xu, et al.
Computers and Electronics in Agriculture (2024) Vol. 219, pp. 108793-108793
Closed Access | Times Cited: 3
Research on out-of-sample prediction method of water quality parameters based on dual-attention mechanism
Zhiqiang Zheng, Hao Ding, Zhi Weng, et al.
Environmental Modelling & Software (2024) Vol. 176, pp. 106020-106020
Closed Access | Times Cited: 3
A dissolved oxygen prediction model based on GRU–N-Beats
Zhenhui Hao
Frontiers in Marine Science (2024) Vol. 11
Open Access | Times Cited: 3
Graph neural network method for the intelligent selection of river system
Di Wang, Haizhong Qian
Geocarto International (2023) Vol. 38, Iss. 1
Open Access | Times Cited: 8
An unsupervised water quality anomaly detection method based on a combination of time-frequency analysis and clustering
Qingjian Ni, Xuehan Cao, Ziqi Zhao, et al.
Environmental Science and Pollution Research (2024) Vol. 31, Iss. 10, pp. 15920-15931
Closed Access | Times Cited: 2
A novel approach for multivariate time series interval prediction of water quality at wastewater treatment plants
Siyu Liu, Zhaocai Wang, Yanyu Li
Water Science & Technology (2024) Vol. 90, Iss. 10, pp. 2813-2841
Open Access | Times Cited: 2
Electric Vehicle Battery State of Charge Prediction Based on Graph Convolutional Network
Geunsu Kim, Soohyeok Kang, Gyudo Park, et al.
International Journal of Automotive Technology (2023) Vol. 24, Iss. 6, pp. 1519-1530
Closed Access | Times Cited: 6
New Graph-Based and Transformer Deep Learning Models for River Dissolved Oxygen Forecasting
Paulo Alexandre Costa Rocha, Victor Oliveira Santos, Jesse Van Griensven Thé, et al.
Environments (2023) Vol. 10, Iss. 12, pp. 217-217
Open Access | Times Cited: 6
Physics-guided spatio–temporal neural network for predicting dissolved oxygen concentration in rivers
Qiliang Liu, Yuzhao Li, Yang Jie, et al.
International Journal of Geographical Information Science (2024) Vol. 38, Iss. 7, pp. 1207-1231
Open Access | Times Cited: 1
Enhanced Water Quality Inversion in the Ningxia Yellow River Basin Using a Hybrid PCWA-ResCNN Model: Insights from Landsat-8 Data
Qi Li, Zhonghua Guo, Jialong Li, et al.
Applied Sciences (2024) Vol. 14, Iss. 18, pp. 8264-8264
Open 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
A method for predicting water quality of river basin based on OVMD-GAT-GRU
Jinling Song, Hongqin Meng, Yan Kang, et al.
Stochastic Environmental Research and Risk Assessment (2023) Vol. 38, Iss. 1, pp. 339-356
Closed Access | Times Cited: 4
CNN-BiLSTM for water quality prediction method based on attention mechanism
Zhibin Guo, Rongli Gai, Shan Qin, et al.
(2023), pp. 1-6
Closed Access | Times Cited: 4
Graph dropout self-learning hierarchical graph convolution network for traffic prediction
Qingjian Ni, Wenqiang Peng, Yuntian Zhu, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 123, pp. 106460-106460
Closed Access | Times Cited: 3
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