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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:

Flood Forecasting Using Hybrid LSTM and GRU Models with Lag Time Preprocessing
Yue Zhang, Zimo Zhou, Jesse Thé, et al.
Water (2023) Vol. 15, Iss. 22, pp. 3982-3982
Open Access | Times Cited: 19

Showing 19 citing articles:

Prediction of spatial-temporal flood water level in agricultural fields using advanced machine learning and deep learning approaches
Adisa Hammed Akinsoji, Bashir Adelodun, Qudus Adeyi, et al.
Natural Hazards (2025)
Closed Access | Times Cited: 1
A Comprehensive Review of Methods for Hydrological Forecasting Based on Deep Learning
Xinfeng Zhao, Hongyan Wang, Mingyu Bai, et al.
Water (2024) Vol. 16, Iss. 10, pp. 1407-1407
Open Access | Times Cited: 10
A novel insight on input variable and time lag selection in daily streamflow forecasting using deep learning models
Amina Khatun, M.N. Nisha, Siddharth G. Chatterjee, et al.
Environmental Modelling & Software (2024) Vol. 179, pp. 106126-106126
Closed Access | Times Cited: 7
Dissolved Oxygen Forecasting for Lake Erie’s Central Basin Using Hybrid Long Short-Term Memory and Gated Recurrent Unit Networks
Daiwei Pan, Yue Zhang, Ying Deng, et al.
Water (2024) Vol. 16, Iss. 5, pp. 707-707
Open Access | Times Cited: 6
Water-Level Prediction Analysis for the Three Gorges Reservoir Area Based on a Hybrid Model of LSTM and Its Variants
Haoran Li, Lili Zhang, Yaowen Zhang, et al.
Water (2024) Vol. 16, Iss. 9, pp. 1227-1227
Open Access | Times Cited: 6
Decomposing streamflow for improved river flow prediction accuracy of machine learning models
Mostafa Elkurdy, Andrew Binns, Bahram Gharabaghi
International Journal of River Basin Management (2025), pp. 1-16
Closed Access
Daily Streamflow Forecasting Using Networks of Real-Time Monitoring Stations and Hybrid Machine Learning Methods
Yue Zhang, Zimo Zhou, Ying Deng, et al.
Water (2024) Vol. 16, Iss. 9, pp. 1284-1284
Open Access | Times Cited: 4
Rapid urban flood inundation forecasting using a physics-informed deep learning approach
F. Yang, Ding Wu, Jianshi Zhao, et al.
Journal of Hydrology (2024) Vol. 643, pp. 131998-131998
Closed Access | Times Cited: 3
Flood prediction through hydrological modeling of rainfall using Conv1D-SBiGRU algorithm and RDI estimation: A hybrid approach
G. Selva Jeba, P. Chitra
Stochastic Environmental Research and Risk Assessment (2024) Vol. 38, Iss. 9, pp. 3587-3606
Closed Access | Times Cited: 1
Heterogeneous Spatio-Temporal Series Forecasting Using Dynamic Graph Neural Networks for Flood Prediction
Jiange Jiang, Chen Chen, Long Wang, et al.
ICC 2022 - IEEE International Conference on Communications (2024), pp. 1963-1968
Closed Access | Times Cited: 1
RNN-Based Monthly Inflow Prediction for Dez Dam in Iran Considering the Effect of Wavelet Pre-Processing and Uncertainty Analysis
Arash Adib, Mohammad Pourghasemzadeh, Morteza Lotfirad
Hydrology (2024) Vol. 11, Iss. 9, pp. 155-155
Open Access | Times Cited: 1
Fluvial Dynamics and Hydrological Variability in the Chiriquí Viejo River Basin, Panama: An Assessment of Hydro-Social Sustainability through Advanced Hydrometric Indexes
Hermes De Gracia, Cristina Aguilar, Victoria Serrano
Water (2024) Vol. 16, Iss. 12, pp. 1662-1662
Open Access
Toward an Enhanced Stock Market Forecasting with Machine Learning and Deep Learning Models
Rihab Najem, Ayoub Bahnasse, Mohamed Talea
Procedia Computer Science (2024) Vol. 241, pp. 97-103
Open Access
Utilizing LSTM-GRU for IOT-Based Water Level Prediction Using Multi-Variable Rainfall Time Series Data
Indrastanti Ratna Widiasari, Rissal Efendi
Informatics (2024) Vol. 11, Iss. 4, pp. 73-73
Open Access
Flood Prediction in Jakarta Using Long Short-Term Memory
Zuraina Wirdha Alexandrina, Imam Alfath Zulkarnain, Danang Eko Prayogo, et al.
(2024), pp. 562-567
Closed Access
Review of Recent Advances in Remote Sensing and Machine Learning Methods for Lake Water Quality Management
Ying Deng, Yue Zhang, Daiwei Pan, et al.
Remote Sensing (2024) Vol. 16, Iss. 22, pp. 4196-4196
Open Access
Influence on the Ecological Environment of the Groundwater Level Changes Based on Deep Learning
Yu Zhou, Lili Zhang, Haoran Li, et al.
Water (2024) Vol. 16, Iss. 24, pp. 3656-3656
Open Access
Prediction of water levels in large reservoirs base on optimization of deep learning algorithms
Haoran Li, Lili Zhang, Yunsheng Yao, et al.
Earth Science Informatics (2024) Vol. 18, Iss. 1
Closed Access
Enhancing Flood Forecasting with BiLSTM Networks
Rahma Boughale, Amira Zrelli, Tahar Ezzedine
(2024), pp. 1-6
Closed Access
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