Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

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: 103

Showing 1-25 of 103 citing articles:

Improving daily streamflow simulations for data-scarce watersheds using the coupled SWAT-LSTM approach
Shengyue Chen, Jinliang Huang, Jr‐Chuan Huang
Journal of Hydrology (2023) Vol. 622, pp. 129734-129734
Closed Access | Times Cited: 57
Comparing a long short-term memory (LSTM) neural network with a physically-based hydrological model for streamflow forecasting over a Canadian catchment
Behmard Sabzipour, Richard Arsenault, Magali Troin, et al.
Journal of Hydrology (2023) Vol. 627, pp. 130380-130380
Open Access | Times Cited: 44
Alternate pathway for regional flood frequency analysis in data-sparse region
Nikunj K. Mangukiya, Ashutosh Sharma
Journal of Hydrology (2024) Vol. 629, pp. 130635-130635
Closed Access | Times Cited: 22
Water quality prediction in the Yellow River source area based on the DeepTCN-GRU model
Qingqing Tian, Wei Luo, Lei Guo
Journal of Water Process Engineering (2024) Vol. 59, pp. 105052-105052
Closed Access | Times Cited: 19
A hybrid hydrologic modelling framework with data-driven and conceptual reservoir operation schemes for reservoir impact assessment and predictions
Ningpeng Dong, Wenhai Guan, Jixue Cao, et al.
Journal of Hydrology (2023) Vol. 619, pp. 129246-129246
Closed Access | Times Cited: 32
Optimal Postprocessing Strategies With LSTM for Global Streamflow Prediction in Ungauged Basins
Senlin Tang, Fubao Sun, Wenbin Liu, et al.
Water Resources Research (2023) Vol. 59, Iss. 7
Closed Access | Times Cited: 32
Predicting streamflow with LSTM networks using global datasets
Katharina Wilbrand, Riccardo Taormina, Marie‐Claire ten Veldhuis, et al.
Frontiers in Water (2023) Vol. 5
Open Access | Times Cited: 23
Enhancing streamflow simulation in large and human-regulated basins: Long short-term memory with multiscale attributes
Arken Tursun, Xianhong Xie, Yibing Wang, et al.
Journal of Hydrology (2024) Vol. 630, pp. 130771-130771
Closed Access | Times Cited: 10
Reconstruction of missing streamflow series in human-regulated catchments using a data integration LSTM model
Arken Tursun, Xianhong Xie, Yibing Wang, et al.
Journal of Hydrology Regional Studies (2024) Vol. 52, pp. 101744-101744
Open Access | Times Cited: 10
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 Mass‐Conserving‐Perceptron for Machine‐Learning‐Based Modeling of Geoscientific Systems
Yuan‐Heng Wang, Hoshin V. Gupta
Water Resources Research (2024) Vol. 60, Iss. 4
Open Access | Times Cited: 9
Streamflow prediction in ungauged catchments through use of catchment classification and deep learning
Miao He, S. S. Jiang, Liliang Ren, et al.
Journal of Hydrology (2024) Vol. 639, pp. 131638-131638
Closed Access | Times Cited: 9
A state-of-the-art review of long short-term memory models with applications in hydrology and water resources
Zhong-kai Feng, J. Zhang, Wen-jing Niu
Applied Soft Computing (2024), pp. 112352-112352
Closed Access | Times Cited: 8
Enhancing long short-term memory (LSTM)-based streamflow prediction with a spatially distributed approach
Qiutong Yu, Bryan A. Tolson, Hongren Shen, et al.
Hydrology and earth system sciences (2024) Vol. 28, Iss. 9, pp. 2107-2122
Open Access | Times Cited: 7
Advancing Hydrology through Machine Learning: Insights, Challenges, and Future Directions Using the CAMELS, Caravan, GRDC, CHIRPS, PERSIANN, NLDAS, GLDAS, and GRACE Datasets
F. M. Hasan, Paul Medley, Jason Drake, et al.
Water (2024) Vol. 16, Iss. 13, pp. 1904-1904
Open Access | Times Cited: 7
Self-training approach to improve the predictability of data-driven rainfall-runoff model in hydrological data-sparse regions
Sung-Hyun Yoon, Kuk‐Hyun Ahn
Journal of Hydrology (2024) Vol. 632, pp. 130862-130862
Closed Access | Times Cited: 6
Deep learning algorithms and their fuzzy extensions for streamflow prediction in climate change framework
Rishith Kumar Vogeti, Rahul Jauhari, Bhavesh Rahul Mishra, et al.
Journal of Water and Climate Change (2024) Vol. 15, Iss. 2, pp. 832-848
Open Access | Times Cited: 5
Enhanced monthly streamflow prediction using an input–output bi-decomposition data driven model considering meteorological and climate information
Qiucen Guo, Xuehua Zhao, Yuhang Zhao, et al.
Stochastic Environmental Research and Risk Assessment (2024) Vol. 38, Iss. 8, pp. 3059-3077
Closed Access | Times Cited: 5
HydroEcoLSTM: A Python package with graphical user interface for hydro-ecological modeling with long short-term memory neural network
Van Tam Nguyen, Vinh Ngoc Tran, Hoang Tran, et al.
Ecological Informatics (2025) Vol. 85, pp. 102994-102994
Open Access
Improved Grunsky method for streamflow prediction in ungauged catchments
Bruno Ken Marchezepe, André Almagro, André S. Ballarin, et al.
Hydrological Sciences Journal (2025)
Closed Access
Neural network approach for modeling future natural river flows: Assessing climate change impacts on the Tagus River
Diego Fernández-Nóvoa, Pedro M. M. Soares, Orlando García-Feal, et al.
Journal of Hydrology Regional Studies (2025) Vol. 58, pp. 102191-102191
Closed Access
Data-driven model as a post-process for daily streamflow prediction in ungauged basins
Jeonghyeon Choi, Sangdan Kim
Heliyon (2025) Vol. 11, Iss. 4, pp. e42512-e42512
Open Access
Improving multi-model ensemble streamflow forecasts by combining lumped, distributed and deep learning hydrological models
William F. Armstrong, Richard Arsenault, Jean‐Luc Martel, et al.
Hydrological Sciences Journal (2025)
Closed Access
Metamodeling of a Physically Based Pesticide Runoff Model with a Long Short-Term Memory Approach
Guillaume Métayer, Cécile Dagès, Marc Voltz, et al.
(2025)
Closed Access
Rising Temperatures Drive Lower Summer Minimum Flows Across Hydrologically Diverse Catchments in British Columbia
Sacha Ruzzante, Tom Gleeson
Water Resources Research (2025) Vol. 61, Iss. 2
Open Access
Page 1 - Next Page

Scroll to top