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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:

Application of CNN and Long Short-Term Memory Network in Water Quality Predicting
Wenwu Tan, Jianjun Zhang, Jiang Wu, et al.
Intelligent Automation & Soft Computing (2022) Vol. 34, Iss. 3, pp. 1943-1958
Open Access | Times Cited: 27

Showing 1-25 of 27 citing articles:

A Hybrid Improved Dual-Channel and Dual-Attention Mechanism Model for Water Quality Prediction in Nearshore Aquaculture
Wenjing Liu, Ji Wang, Zhenhua Li, et al.
Electronics (2025) Vol. 14, Iss. 2, pp. 331-331
Open Access | Times Cited: 1
Research on a multiparameter water quality prediction method based on a hybrid model
Zhiqiang Zheng, Hao Ding, Zhi Weng, et al.
Ecological Informatics (2023) Vol. 76, pp. 102125-102125
Closed Access | Times Cited: 16
Application of hybrid improved temporal convolution network model in time series prediction of river water quality
Yankun Hu, Lyu Li, Ning Wang, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 11
Predicting water quality parameters using LSTM models
M. R. Nisharga, Narmadha, Naveen Sundar
AIP conference proceedings (2025) Vol. 3262, pp. 020010-020010
Closed Access
Intelligent remote sensing canal system detection and irrigation water use estimation: A case study in the transboundary Mekong River Basin
Hongling Zhao, Fuqiang Tian, Keer Zhang, et al.
Journal of Hydrology (2025), pp. 133110-133110
Closed Access
Advanced Deep Learning Model for Predicting Water Pollutants Using Spectral Data and Augmentation Techniques: A Case Study of the Middle and Lower Yangtze River, China
Gengxin Zhang, Cailing Wang, Hongwei Wang, et al.
Process Safety and Environmental Protection (2025), pp. 107058-107058
Closed Access
Enhanced Performance of Wastewater Membrane Bioreactor Using Machine Learning Model’s Prediction and Optimization
Jun Jiang, Nien-Hsun Li, Mo Chen, et al.
(2025), pp. 4-4
Open Access
Application of an improved LSTM model based on FECA and CEEMDAN VMD decomposition in water quality prediction
Jie Long, Chong Lu, Yiming Lei, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Predicting Oil Reservoir Behavior With Convolutional Neural Networks
Pokkuluri Kiran Sree, S. Sudheer Mangalampalli, N. Sssn Usha Devi
Advances in computational intelligence and robotics book series (2025), pp. 193-208
Closed Access
Automated interpretation of deep learning-based water quality assessment system for enhanced environmental management decisions
Javed Mallick, Saeed Alqadhi, Majed Alsubih, et al.
Applied Water Science (2025) Vol. 15, Iss. 5
Open Access
Modeling and Forecasting of nanoFeCu Treated Sewage Quality Using Recurrent Neural Network (RNN)
Dingding Cao, Mieow Kee Chan, Sokchoo Ng
Computation (2023) Vol. 11, Iss. 2, pp. 39-39
Open Access | Times Cited: 7
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
A Comparison of Artificial Neural Network (ANN) and Long Short-Term Memory (LSTM) in River Water Quality Prediction
Sekarlangit Sekarlangit, Catur Edi Widodo, Tarno Tarno
International Journal of Current Science Research and Review (2024) Vol. 07, Iss. 04
Open Access | Times Cited: 1
Advances in dissolved oxygen prediction and control methods in aquaculture: a review
Daoliang Li, Jianan Yang, Yu Bai, et al.
at - Automatisierungstechnik (2024) Vol. 72, Iss. 6, pp. 499-517
Closed Access | Times Cited: 1
A Variational Mode Decomposition–Grey Wolf Optimizer–Gated Recurrent Unit Model for Forecasting Water Quality Parameters
Binglin Li, Fengyu Sun, Yufeng Lian, et al.
Applied Sciences (2024) Vol. 14, Iss. 14, pp. 6111-6111
Open Access | Times Cited: 1
Phosphorus prediction in the middle reaches of the Yangtze river based on GRA-CEEMDAN-CNLSTM-DBO
Huaipeng Yao, Yuling Huang, Pingyu Lv, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
ISSA optimized spatiotemporal prediction model of dissolved oxygen for marine ranching integrating DAM and Bi-GRU
Wenjing Liu, Ji Wang, Zhenhua Li, et al.
Frontiers in Marine Science (2024) Vol. 11
Open Access | Times Cited: 1
Research on BiLSTM-GRU Water Quality Prediction Model Based on Attention Mechanism
Jundong Zhang, Shilong Xue, Pan Geng
(2023) Vol. 14, pp. 570-573
Closed Access | Times Cited: 3
Deep Learning for Multi-Structured Javanese Gamelan Note Generator
Arik Kurniawati, Eko Mulyanto Yuniarno, Yoyon K. Suprapto
Knowledge Engineering and Data Science (2023) Vol. 6, Iss. 1, pp. 41-41
Open Access | Times Cited: 3
Online soft measurement for wastewater treatment system based on hybrid deep learning
Wenjie Mai, Zhenguo Chen, Xiaoyong Li, et al.
Frontiers of Environmental Science & Engineering (2023) Vol. 18, Iss. 2
Closed Access | Times Cited: 3
Index Correlation Analysis in Water Quality Monitoring Big Data
Hao Li, Ziwen Yu, Lingyu Song, et al.
Journal of Physics Conference Series (2023) Vol. 2504, Iss. 1, pp. 012059-012059
Open Access | Times Cited: 2
Prediction of the Wastewater’s pH Based on Deep Learning Incorporating Sliding Windows
Aiping Xu, Xuan Zou, Chao Wang
Computer Systems Science and Engineering (2023) Vol. 47, Iss. 1, pp. 1043-1059
Open Access | Times Cited: 2
Machine Learning Framework and Spatiotemporal Variation Analysis for Water Quality Classification in the Xiangjiang Basin
Ziwen Yu, Lingyu Song, Enling Zhou, et al.
(2024), pp. 1-9
Closed Access
Fast Prediction of Car Driving Direction Velocity Field Based on Convolutional Neural Network with Data of Flow Simulation Nodes after Feature Enhancement
Shengrong Shen, Tian Han, Jiachen Pang
(2024)
Closed Access
Enhancing Precision in Artificial Intelligence – Based Water Quality Prediction: The Advantages of Hybrid Modeling Approaches– Review*
Ivana Krtolica, Milovan Medojević
2022 7th International Conference on Smart and Sustainable Technologies (SpliTech) (2024), pp. 1-5
Closed Access
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