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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:

A watershed water quality prediction model based on attention mechanism and Bi-LSTM
Qiang Zhang, Ruiqi Wang, Ying Qi, et al.
Environmental Science and Pollution Research (2022) Vol. 29, Iss. 50, pp. 75664-75680
Open Access | Times Cited: 42

Showing 1-25 of 42 citing articles:

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: 14
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
AI-driven modelling approaches for predicting oxygen levels in aquatic environments
Rosysmita Bikram Singh, Agnieszka I. Olbert, Avinash Samantra, et al.
Journal of Water Process Engineering (2024) Vol. 66, pp. 105940-105940
Open Access | Times Cited: 10
Enhanced Insights into Effluent Prediction in Wastewater Treatment Plants: Comprehensive Deep Learning Model Explanation Based on SHAP
Ruojia Li, Kuanliang Feng, Tong An, et al.
ACS ES&T Water (2024) Vol. 4, Iss. 4, pp. 1904-1915
Closed Access | Times Cited: 9
Water Quality Prediction Based on LSTM and Attention Mechanism: A Case Study of the Burnett River, Australia
Honglei Chen, Junbo Yang, Xiaohua Fu, et al.
Sustainability (2022) Vol. 14, Iss. 20, pp. 13231-13231
Open Access | Times Cited: 34
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: 20
Construction Project Cost Prediction Method Based on Improved BiLSTM
Chaoxue Wang, Jiale Qiao
Applied Sciences (2024) Vol. 14, Iss. 3, pp. 978-978
Open Access | Times Cited: 6
Multimodal Fusion of Optimized GRU–LSTM with Self-Attention Layer for Hydrological Time Series Forecasting
Hüseyin Çağan Kılınç, Sina Apak, Furkan Ozkan, et al.
Water Resources Management (2024) Vol. 38, Iss. 15, pp. 6045-6062
Closed Access | Times Cited: 6
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
A novel hybrid model for hourly PM2.5 prediction considering air pollution factors, meteorological parameters and GNSS-ZTD
Fanming Wu, Pengfei Min, Yan Jin, et al.
Environmental Modelling & Software (2023) Vol. 167, pp. 105780-105780
Open Access | Times Cited: 16
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
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: 12
Bidirectional Long Short-Term Memory (BILSTM) - Support Vector Machine: A new machine learning model for predicting water quality parameters
Zahra Jamshidzadeh, Mohammad Ehteram, Hanieh Shabanian
Ain Shams Engineering Journal (2023) Vol. 15, Iss. 3, pp. 102510-102510
Open Access | Times Cited: 12
Recent Advances in Surface Water Quality Prediction Using Artificial Intelligence Models
Qingqing Zhang, Xue‐yi You
Water Resources Management (2023) Vol. 38, Iss. 1, pp. 235-250
Closed Access | Times Cited: 11
Advanced Deep Learning Techniques for Battery Thermal Management in New Energy Vehicles
Shaotong Qi, Yubo Cheng, Zhiyuan Li, et al.
Energies (2024) Vol. 17, Iss. 16, pp. 4132-4132
Open Access | Times Cited: 4
Spatio-temporal analysis and prediction for raw water quality of drinking water source by improved RNN algorithm
Dongsheng Wang, Congcong Zhang, Ao Li, et al.
Journal of Water Process Engineering (2025) Vol. 71, pp. 107164-107164
Closed Access
Investigating Groundwater–Surface Water Interactions and Transformations in a Typical Dry–Hot Valley Through Environmental Isotopes Analysis
Jun Li, Honghao Liu, Yizhi Sheng, et al.
Water (2025) Vol. 17, Iss. 6, pp. 775-775
Open Access
Enhancing short-term algal bloom forecasting through an anti-mimicking hybrid deep learning method
Ya-Qin Zhang, Yichong Wang, Huihuang Chen, et al.
Journal of Environmental Management (2025) Vol. 379, pp. 124832-124832
Closed Access
Uncertainty quantification for variational Bayesian dropout based deep bidirectional LSTM networks
Iqra Sardar, Farzana Noor, Muhammad Javed Iqbal, et al.
Stochastic Environmental Research and Risk Assessment (2025)
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
High-Precision Prediction of Total Nitrogen Based on Distance Correlation and Machine Learning Models—A Case Study of Dongjiang River, China
Y. Chen, Weike Yao, Yiling Chen
Water (2025) Vol. 17, Iss. 8, pp. 1131-1131
Open Access
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
An IoT Based Water Quality Classification Framework for Aqua-Ponds Through Water and Environmental Variables Using CGTFN Model
Arepalli Peda Gopi, K. Jairam Naik, Jagan Amgoth
International Journal of Environmental Research (2024) Vol. 18, Iss. 4
Open Access | Times Cited: 2
Predict Future Transient Fire Heat Release Rates Based on Fire Imagery and Deep Learning
Lei Xu, Jinyuan Dong, Delei Zou
Fire (2024) Vol. 7, Iss. 6, pp. 200-200
Open Access | Times Cited: 2
Long-term trend forecast of chlorophyll-a concentration over eutrophic lakes based on time series decomposition and deep learning algorithm
Cheng Chen, Mingtao Hu, Qiuwen Chen, et al.
The Science of The Total Environment (2024) Vol. 951, pp. 175451-175451
Closed Access | Times Cited: 2
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