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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 Hybrid CNN-LSTM Approach for Monthly Reservoir Inflow Forecasting
Saeed Khorram, Nima Jehbez
Water Resources Management (2023) Vol. 37, Iss. 10, pp. 4097-4121
Closed Access | Times Cited: 37

Showing 1-25 of 37 citing articles:

Water Quality Prediction in Urban Waterways Based on Wavelet Packet Denoising and LSTM
Jiafeng Pang, Wei Luo, Zeyu Yao, et al.
Water Resources Management (2024) Vol. 38, Iss. 7, pp. 2399-2420
Open Access | Times Cited: 14
Assessment of the impact of climate change on streamflow of Ganjiang River catchment via LSTM-based models
Chao Deng, Xin Yin, Jiacheng Zou, et al.
Journal of Hydrology Regional Studies (2024) Vol. 52, pp. 101716-101716
Open Access | Times Cited: 14
Forecasting Future Groundwater Recharge from Rainfall Under Different Climate Change Scenarios Using Comparative Analysis of Deep Learning and Ensemble Learning Techniques
Dolon Banerjee, Sayantan Ganguly, Shashwat Kushwaha
Water Resources Management (2024) Vol. 38, Iss. 11, pp. 4019-4037
Closed Access | Times Cited: 11
Evaluation and Interpretation of Runoff Forecasting Models Based on Hybrid Deep Neural Networks
Xin Yang, Jianzhong Zhou, Qianyi Zhang, et al.
Water Resources Management (2024) Vol. 38, Iss. 6, pp. 1987-2013
Closed Access | Times Cited: 9
Flood Forecasting Using Hybrid LSTM and GRU Models with Lag Time Preprocessing
Yue Zhang, Zimo Zhou, Jesse Van Griensven Thé, et al.
Water (2023) Vol. 15, Iss. 22, pp. 3982-3982
Open Access | Times Cited: 20
From meteorological to agricultural drought: Propagation time and influencing factors over diverse underlying surfaces based on CNN-LSTM model
Junchen Long, Changchun Xu, Yazhen Wang, et al.
Ecological Informatics (2024) Vol. 82, pp. 102681-102681
Open Access | Times Cited: 8
The Use of Attention-Enhanced CNN-LSTM Models for Multi-Indicator and Time-Series Predictions of Surface Water Quality
Minhao Zhang, Zhiyu Zhang, Xuan Wang, et al.
Water Resources Management (2024) Vol. 38, Iss. 15, pp. 6103-6119
Closed Access | Times Cited: 7
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
Improving wastewater treatment plant performance: an ANN-based predictive model for managing average daily overflow and resource allocation optimization using Tabu search
Rabah Ismail
Asian Journal of Civil Engineering (2023) Vol. 25, Iss. 2, pp. 1427-1441
Closed Access | Times Cited: 12
Daily reservoir inflow prediction using stacking ensemble of machine learning algorithms
D. Deb, A. Vasan, K. Srinivasa Raju
Journal of Hydroinformatics (2024) Vol. 26, Iss. 5, pp. 972-997
Open Access | Times Cited: 4
Hypertuned wavelet convolutional neural network with long short-term memory for time series forecasting in hydroelectric power plants
Stéfano Frizzo Stefenon, Laio Oriel Seman, Evandro Cardozo da Silva, et al.
Energy (2024), pp. 133918-133918
Closed Access | Times Cited: 4
LSTM-FKAN coupled with feature extraction technique for Precipitation–Runoff modeling
Tongfang Li, Kairong Lin, Tian Lan, et al.
Journal of Hydrology (2025) Vol. 652, pp. 132705-132705
Closed Access
Prediction of Qinghai Lake's level under future climate change: A hybrid modeling approach based on hydrological model and deep learning method
Kaixun Liu, Na Li, Sihai Liang
Journal of Hydrology Regional Studies (2025) Vol. 58, pp. 102283-102283
Open Access
Mixed-frequency fusion grey panel model for spatiotemporal prediction of photovoltaic power generation
Z.J. Zuo, Xinping Xiao, Mingyun Gao, et al.
Renewable Energy (2025), pp. 123055-123055
Closed Access
Improving the Accuracy of Groundwater Level Forecasting by Coupling Ensemble Machine Learning Model and Coronavirus Herd Immunity Optimizer
Ahmed M. Saqr, Veysi Kartal, Erkan Karakoyun, et al.
Water Resources Management (2025)
Open Access
Streamflow forecasting with deep learning models: A side-by-side comparison in Northwest Spain
Juan F. Farfán, Luís Cea
Earth Science Informatics (2024) Vol. 17, Iss. 6, pp. 5289-5315
Open Access | Times Cited: 3
Enhancing seasonal streamflow prediction using multistage hybrid stochastic data-driven deep learning methodology with deep feature selection
Asif Iqbal, Tanveer Ahmed Siddiqi
Environmental and Ecological Statistics (2025)
Closed Access
Dam System and Reservoir Operational Safety: A Meta-Research
Ahmed Badr, Zoe Li, Wael El‐Dakhakhni
Water (2023) Vol. 15, Iss. 19, pp. 3427-3427
Open Access | Times Cited: 9
Prediction of karst spring discharge using LSTM with Bayesian optimisation hyperparameter tuning: a laboratory physical model approach
Portia Annabelle Opoku, Longcang Shu, Theophilus Ansah-Narh, et al.
Modeling Earth Systems and Environment (2023) Vol. 10, Iss. 1, pp. 1457-1482
Closed Access | Times Cited: 5
An energy prediction approach using bi-directional long short-term memory for a hydropower plant in Laos
Suriya Kaewarsa, Vanhkham Kongpaseuth
Electrical Engineering (2023) Vol. 106, Iss. 3, pp. 2609-2625
Closed Access | Times Cited: 5
Enhancing Accuracy of Forecasting Monthly Reservoir Inflow by Using Comparison of Three New Hybrid Models: A Case Study of The Droodzan Dam in Iran
Saeed Khorram, Nima Jehbez
Iranian Journal of Science and Technology Transactions of Civil Engineering (2024) Vol. 48, Iss. 5, pp. 3735-3759
Closed Access | Times Cited: 1
Predicting the Water Inflow Into the Dam Reservoir Using the Hybrid Intelligent GP-ANN- NSGA-II Method
Ramtin Moeini, Kamran Nasiri, Seyed Hossein Hosseini
Water Resources Management (2024)
Closed Access | Times Cited: 1
Hydropower Plant Available Energy Forecasting Using Artificial Neural Network and Particle Swarm Optimization
Suriya Kaewarsa, Vanhkham Kongpaseuth
(2024)
Open Access | Times Cited: 1
Improving the streamflow prediction accuracy in sparse data regions: a fresh perspective on integrated hydrological-hydrodynamic and hybrid machine learning models
Saeed Khorram, Nima Jehbez
Engineering Applications of Computational Fluid Mechanics (2024) Vol. 18, Iss. 1
Open Access | Times Cited: 1
Research on an Intelligent Fault Diagnosis Method for Small Modular Reactors
Changan Ren, Jichong Lei, Jie Liu, et al.
Energies (2024) Vol. 17, Iss. 16, pp. 4049-4049
Open Access | Times Cited: 1
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