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:

Deep learning in hydrology and water resources disciplines: concepts, methods, applications, and research directions
Kumar Puran Tripathy, Ashok K. Mishra
Journal of Hydrology (2023) Vol. 628, pp. 130458-130458
Closed Access | Times Cited: 79

Showing 1-25 of 79 citing articles:

Deep learning for water quality
Wei Zhi, Alison Appling, Heather E. Golden, et al.
Nature Water (2024) Vol. 2, Iss. 3, pp. 228-241
Closed Access | Times Cited: 55
An interpretable hybrid deep learning model for flood forecasting based on Transformer and LSTM
Wenzhong Li, Chengshuai Liu, Yingying Xu, et al.
Journal of Hydrology Regional Studies (2024) Vol. 54, pp. 101873-101873
Open Access | Times Cited: 13
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 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
Sensitivity analysis-driven machine learning approach for groundwater quality prediction: Insights from integrating ENTROPY and CRITIC methods
Imran Khan, Md. Ayaz
Groundwater for Sustainable Development (2024) Vol. 26, pp. 101309-101309
Closed Access | Times Cited: 7
A New Benchmark on Machine Learning Methodologies for Hydrological Processes Modelling: A Comprehensive Review for Limitations and Future Research Directions
Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬
Knowledge-Based Engineering and Sciences (2023) Vol. 4, Iss. 3, pp. 65-103
Open Access | Times Cited: 20
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
A novel strategy for flood flow Prediction: Integrating Spatio-Temporal information through a Two-Dimensional hidden layer structure
Yi-yang Wang, Wenchuan Wang, Dongmei Xu, et al.
Journal of Hydrology (2024) Vol. 638, pp. 131482-131482
Closed Access | Times Cited: 6
Artificial intelligence for mineral exploration: A review and perspectives on future directions from data science
Fanfan Yang, Renguang Zuo, Oliver P. Kreuzer
Earth-Science Reviews (2024), pp. 104941-104941
Closed Access | Times Cited: 6
River discharge prediction based multivariate climatological variables using hybridized long short-term memory with nature inspired algorithm
Sandeep Samantaray, Abinash Sahoo, Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬, et al.
Journal of Hydrology (2024), pp. 132453-132453
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
A deep learning-based probabilistic approach to flash flood warnings in mountainous catchments
Yuting Zhao, Xuemei Wu, Wenjiang Zhang, et al.
Journal of Hydrology (2025) Vol. 652, pp. 132677-132677
Closed Access
Physics‐Guided Deep Learning Model for Daily Groundwater Table Maps Estimation Using Passive Surface‐Wave Dispersion
José Cunha Teixeira, Ludovic Bodet, Agnès Rivière, et al.
Water Resources Research (2025) Vol. 61, Iss. 1
Open Access
Causality-Guided Deep learning for streamflow predicting in a mountainous region
Xuan Tang, Guanghua Qin, Xuemei Wu, et al.
Journal of Hydrology (2025), pp. 132719-132719
Closed Access
An Optimized Approach for Predicting Water Quality Features and A Performance evaluation for Mapping Surface Water Potential Zones Based on Discriminant Analysis (DA), Geographical Information System (GIS) and Machine Learning (ML) Models in Baitarani River Basin, Odisha
Abhijeet Das
Desalination and Water Treatment (2025) Vol. 321, pp. 101039-101039
Open Access
AI-driven forecasting of river discharge: the case study of the Himalayan mountainous river
Shakeel Ahmad Rather, Mahesh Patel, Kanish Kapoor
Earth Science Informatics (2025) Vol. 18, Iss. 2
Closed Access
Comparison and prediction of shallow groundwater nitrate in Shaying River basin based on urban distribution using multiple machine learning approaches
Zipeng Huang, Baonan He, Yanjia Chu, et al.
Water Environment Research (2025) Vol. 97, Iss. 2
Closed Access
A novel stochastic simulation method for sedimentary facies based on the generative adversarial network with a spatially-adaptive conditioning module and comprehensive attention mechanisms
Lei Liu, Dali Yue, Wei Li, et al.
Geoenergy Science and Engineering (2025), pp. 213758-213758
Closed Access
A data-driven physics-informed deep learning approach for estimating sub-core permeability from coreflooding saturation measurements
Anirban Chakraborty, Avinoam Rabinovich, Ziv Moreno
Advances in Water Resources (2025), pp. 104919-104919
Open Access
A data-driven based hybrid multi-branch framework for AUV navigation
Xin Zhang, Li Sheng, Bo He, et al.
Ocean Engineering (2025) Vol. 324, pp. 120675-120675
Closed Access
Enhancing Hydro-climatic and land parameter forecasting using Transformer networks
Suchismita Subhadarsini, D. Nagesh Kumar, Rao S. Govindaraju
Journal of Hydrology (2025), pp. 132906-132906
Closed Access
An Integrated Approach Using Lars-Wg and Deep Learning for River Flow Prediction in Diverse Regions
Fatemeh Avazpour, Mohammad Hadian, Ali Talebi, et al.
(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
Reinforcement learning applications in water resource management: a systematic literature review
Linus Kåge, Vlatko Milić, Maria Andersson, et al.
Frontiers in Water (2025) Vol. 7
Open Access
Integrating numerical models with deep learning techniques for flood risk assessment
Fatemeh Kordi-Karimabadi, Ehsan Fadaei-Kermani, Mahnaz Ghaeini‐Hessaroeyeh, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Page 1 - Next Page

Scroll to top