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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:

The effect of calibration data length on the performance of a conceptual hydrological model versus LSTM and GRU: A case study for six basins from the CAMELS dataset
Georgy Ayzel, Maik Heistermann
Computers & Geosciences (2021) Vol. 149, pp. 104708-104708
Closed Access | Times Cited: 87

Showing 1-25 of 87 citing articles:

Machine learning for hydrologic sciences: An introductory overview
Tianfang Xu, Feng Liang
Wiley Interdisciplinary Reviews Water (2021) Vol. 8, Iss. 5
Closed Access | Times Cited: 150
Battery degradation prediction against uncertain future conditions with recurrent neural network enabled deep learning
Jiahuan Lu, Rui Xiong, Jinpeng Tian, et al.
Energy storage materials (2022) Vol. 50, pp. 139-151
Closed Access | Times Cited: 150
Continuous streamflow prediction in ungauged basins: long short-term memory neural networks clearly outperform traditional hydrological models
Richard Arsenault, Jean‐Luc Martel, Frédéric Brunet, et al.
Hydrology and earth system sciences (2023) Vol. 27, Iss. 1, pp. 139-157
Open Access | Times Cited: 104
A review of hybrid deep learning applications for streamflow forecasting
Kin‐Wang Ng, Yuk Feng Huang, Chai Hoon Koo, et al.
Journal of Hydrology (2023) Vol. 625, pp. 130141-130141
Closed Access | Times Cited: 77
Impacts of regional characteristics on improving the accuracy of groundwater level prediction using machine learning: The case of central eastern continental United States
Hejiang Cai, Haiyun Shi, Suning Liu, et al.
Journal of Hydrology Regional Studies (2021) Vol. 37, pp. 100930-100930
Open Access | Times Cited: 62
Toward improved lumped groundwater level predictions at catchment scale: Mutual integration of water balance mechanism and deep learning method
Hejiang Cai, Suning Liu, Haiyun Shi, et al.
Journal of Hydrology (2022) Vol. 613, pp. 128495-128495
Closed Access | Times Cited: 62
Epileptic Seizure Detection Based on Bidirectional Gated Recurrent Unit Network
Yanli Zhang, Shuxin Yao, Rendi Yang, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2022) Vol. 30, pp. 135-145
Open Access | Times Cited: 61
Uncertainty assessment of LSTM based groundwater level predictions
Vahid Nourani, Kasra Khodkar, Mekonnen Gebremichael
Hydrological Sciences Journal (2022) Vol. 67, Iss. 5, pp. 773-790
Closed Access | Times Cited: 41
Recurrent attention unit: A new gated recurrent unit for long-term memory of important parts in sequential data
Zhaoyang Niu, Guoqiang Zhong, Guohua Yue, et al.
Neurocomputing (2022) Vol. 517, pp. 1-9
Closed Access | Times Cited: 38
Enhancing streamflow simulation using hybridized machine learning models in a semi-arid basin of the Chinese loess Plateau
Qiang Yu, Liguang Jiang, Yanjun Wang, et al.
Journal of Hydrology (2023) Vol. 617, pp. 129115-129115
Closed Access | Times Cited: 34
Dynamic adaptive encoder-decoder deep learning networks for multivariate time series forecasting of building energy consumption
Jing Guo, Penghui Lin, Limao Zhang, et al.
Applied Energy (2023) Vol. 350, pp. 121803-121803
Closed Access | Times Cited: 31
Improving milling tool wear prediction through a hybrid NCA-SMA-GRU deep learning model
Zhongyuan Che, Chong Peng, T. Warren Liao, et al.
Expert Systems with Applications (2024) Vol. 255, pp. 124556-124556
Closed Access | Times Cited: 8
Hybrid Physically Based and Deep Learning Modeling of a Snow Dominated, Mountainous, Karst Watershed
Tianfang Xu, Qianqiu Longyang, Conor Tyson, et al.
Water Resources Research (2022) Vol. 58, Iss. 3
Open Access | Times Cited: 35
A full-view management method based on artificial neural networks for energy and material-savings in wastewater treatment plants
Jianhui Wang, Xiaolong Zhao, Zhiwei Guo, et al.
Environmental Research (2022) Vol. 211, pp. 113054-113054
Closed Access | Times Cited: 33
A wind speed prediction system based on new data preprocessing strategy and improved multi-objective optimizer
Zhirui Tian, Jiyang Wang
Renewable Energy (2023) Vol. 215, pp. 118932-118932
Closed Access | Times Cited: 18
Improving Hydrological Modeling with Hybrid Models: A Comparative Study of Different Mechanisms for Coupling Deep Learning Models with Process-based Models
Yiming Wei, Renchao Wang, Ping Feng
Water Resources Management (2024) Vol. 38, Iss. 7, pp. 2471-2488
Closed Access | Times Cited: 6
A data-driven model for thermal error prediction considering thermoelasticity with gated recurrent unit attention
Yu Chen, Jihong Chen, Guangda Xu
Measurement (2021) Vol. 184, pp. 109891-109891
Closed Access | Times Cited: 36
AI-based techniques for multi-step streamflow forecasts: application for multi-objective reservoir operation optimization and performance assessment
Yuxue Guo, Xinting Yu, Yue‐Ping Xu, et al.
Hydrology and earth system sciences (2021) Vol. 25, Iss. 11, pp. 5951-5979
Open Access | Times Cited: 35
Comparative Analysis of Deep Learning Models for Silver Price Prediction: CNN, LSTM, GRU and Hybrid Approach
Yunus Emre Gür
Akdeniz Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi (2024) Vol. 24, Iss. 1, pp. 1-13
Open Access | Times Cited: 5
Exploring the potential of deep learning for streamflow forecasting: A comparative study with hydrological models for seasonal and perennial rivers
Ardalan Izadi, Nastaran Zarei, Mohammad Reza Nikoo, et al.
Expert Systems with Applications (2024) Vol. 252, pp. 124139-124139
Closed Access | Times Cited: 5
Streamflow prediction using artificial neural networks and soil moisture proxies
Robert W. Rouse, Doran Khamis, J. Scott Hosking, et al.
Environmental Data Science (2025) Vol. 4
Open Access
An efficient parallel runoff forecasting model for capturing global and local feature information
Yang-hao Hong, Dongmei Xu, Wenchuan Wang, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Predicting runoff series in ungauged basins of the Brazilian Cerrado biome
Daniel Althoff, Lineu Neiva Rodrigues, Demétrius David da Silva
Environmental Modelling & Software (2022) Vol. 149, pp. 105315-105315
Closed Access | Times Cited: 19
Comprehensive Analysis for Long-Term Hydrological Simulation by Deep Learning Techniques and Remote Sensing
Chaowei Xu, Yizhen Wang, Hao Fu, et al.
Frontiers in Earth Science (2022) Vol. 10
Open Access | Times Cited: 19
The CNN-GRU model with frequency analysis module for sea surface temperature prediction
Ying Han, Kaiqiang Sun, Jianing Yan, et al.
Soft Computing (2023) Vol. 27, Iss. 13, pp. 8711-8720
Open Access | Times Cited: 12
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