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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:

Predicting the Trend of Dissolved Oxygen Based on the kPCA-RNN Model
Yifan Zhang, Peter Fitch, Peter J. Thorburn
Water (2020) Vol. 12, Iss. 2, pp. 585-585
Open Access | Times Cited: 72

Showing 1-25 of 72 citing articles:

A Review of the Artificial Neural Network Models for Water Quality Prediction
Yingyi Chen, Lihua Song, Yeqi Liu, et al.
Applied Sciences (2020) Vol. 10, Iss. 17, pp. 5776-5776
Open Access | Times Cited: 321
Prediction of Water Level and Water Quality Using a CNN-LSTM Combined Deep Learning Approach
Sang‐Soo Baek, JongCheol Pyo, Jong Ahn Chun
Water (2020) Vol. 12, Iss. 12, pp. 3399-3399
Open Access | Times Cited: 197
Application of machine learning in intelligent fish aquaculture: A review
Shili Zhao, Song Zhang, Jincun Liu, et al.
Aquaculture (2021) Vol. 540, pp. 736724-736724
Closed Access | Times Cited: 191
A novel hybrid BPNN model based on adaptive evolutionary Artificial Bee Colony Algorithm for water quality index prediction
Lingxuan Chen, Tunhua Wu, Zhaocai Wang, et al.
Ecological Indicators (2023) Vol. 146, pp. 109882-109882
Open Access | Times Cited: 115
Handling missing data in near real-time environmental monitoring: A system and a review of selected methods
Yifan Zhang, Peter J. Thorburn
Future Generation Computer Systems (2021) Vol. 128, pp. 63-72
Open Access | Times Cited: 96
A novel hybrid model for water quality prediction based on synchrosqueezed wavelet transform technique and improved long short-term memory
Chenguang Song, Leihua Yao, Chengya Hua, et al.
Journal of Hydrology (2021) Vol. 603, pp. 126879-126879
Closed Access | Times Cited: 93
Overview of Smart Aquaculture System: Focusing on Applications of Machine Learning and Computer Vision
Thi Thu Em Vo, Hyeyoung Ko, Jun‐Ho Huh, et al.
Electronics (2021) Vol. 10, Iss. 22, pp. 2882-2882
Open Access | Times Cited: 85
Dissolved oxygen concentration predictions for running waters with different land use land cover using a quantile regression forest machine learning technique
Mohammad Hafez Ahmed, Lian-Shin Lin
Journal of Hydrology (2021) Vol. 597, pp. 126213-126213
Open Access | Times Cited: 77
Real-time rainfall-runoff prediction using light gradient boosting machine coupled with singular spectrum analysis
Zhongjie Cui, Qing Xiaoxia, Hongxiang Chai, et al.
Journal of Hydrology (2021) Vol. 603, pp. 127124-127124
Closed Access | Times Cited: 67
Applications of deep learning in water quality management: A state-of-the-art review
Kok Poh Wai, Min Yan Chia, Chai Hoon Koo, et al.
Journal of Hydrology (2022) Vol. 613, pp. 128332-128332
Closed Access | Times Cited: 67
Water Quality Prediction in the Luan River Based on 1-DRCNN and BiGRU Hybrid Neural Network Model
Jianzhuo Yan, Jiaxue Liu, Yongchuan Yu, et al.
Water (2021) Vol. 13, Iss. 9, pp. 1273-1273
Open Access | Times Cited: 57
Hybrid machine learning models for prediction of daily dissolved oxygen
Aliasghar Azma, Yakun Liu, Masoumeh Azma, et al.
Journal of Water Process Engineering (2023) Vol. 54, pp. 103957-103957
Closed Access | Times Cited: 24
Prediction of riverine daily minimum dissolved oxygen concentrations using hybrid deep learning and routine hydrometeorological data
Yue Hu, Chuankun Liu, W. M. Wollheim
The Science of The Total Environment (2024) Vol. 918, pp. 170383-170383
Closed Access | Times Cited: 15
Artificial Intelligence-Based Aquaculture System for Optimizing the Quality of Water: A Systematic Analysis
Omar Capetillo-Contreras, Francisco David Pérez-Reynoso, Marco Antonio Zamora-Antuñano, et al.
Journal of Marine Science and Engineering (2024) Vol. 12, Iss. 1, pp. 161-161
Open Access | Times Cited: 13
Predicting abrupt depletion of dissolved oxygen in Chaohu lake using CNN-BiLSTM with improved attention mechanism
Xiaoyu Wang, Xiaoyi Tang, Mei Zhu, et al.
Water Research (2024) Vol. 261, pp. 122027-122027
Closed Access | Times Cited: 11
Multi-step prediction of dissolved oxygen in fish pond aquaculture using feature reconstruction-based deep neural network
Yilun Jiang, Lintong Zhang, C.-K. Chris Wang, et al.
Computers and Electronics in Agriculture (2025) Vol. 232, pp. 109997-109997
Closed Access | Times Cited: 1
Estimation of the FRP-concrete bond strength with code formulations and machine learning algorithms
Boğaçhan Başaran, İlker Kalkan, Erhan Bergil, et al.
Composite Structures (2021) Vol. 268, pp. 113972-113972
Closed Access | Times Cited: 52
Predicting the Degree of Dissolved Oxygen Using Three Types of Multi-Layer Perceptron-Based Artificial Neural Networks
Fen Yang, Hossein Moayedi, Amir Mosavi
Sustainability (2021) Vol. 13, Iss. 17, pp. 9898-9898
Open Access | Times Cited: 45
Machine learning algorithm as a sustainable tool for dissolved oxygen prediction: a case study of Feitsui Reservoir, Taiwan
Balahaha Fadi Ziyad Sami, Sarmad Dashti Latif, Ali Najah Ahmed, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 33
A deep learning-enabled IoT framework for early hypoxia detection in aqua water using light weight spatially shared attention-LSTM network
Arepalli Peda Gopi, K. Jairam Naik
The Journal of Supercomputing (2023) Vol. 80, Iss. 2, pp. 2718-2747
Closed Access | Times Cited: 21
Investigating Machine Learning Applications for Effective Real-Time Water Quality Parameter Monitoring in Full-Scale Wastewater Treatment Plants
Usman Safder, Jongrack Kim, Gijung Pak, et al.
Water (2022) Vol. 14, Iss. 19, pp. 3147-3147
Open Access | Times Cited: 27
A comprehensive machine learning model for lithology identification while drilling
Qingfeng Li, Chi Peng, Jianhong Fu, et al.
Geoenergy Science and Engineering (2023) Vol. 231, pp. 212333-212333
Closed Access | Times Cited: 14
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
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: 5
Sustainable Marine Ecosystems: Deep Learning for Water Quality Assessment and Forecasting
Ángel Fernández Gambı́n, Eduard Angelats, Jesús Soriano González, et al.
IEEE Access (2021) Vol. 9, pp. 121344-121365
Open Access | Times Cited: 31
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