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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:

Evaluation and interpretation of convolutional long short-term memory networks for regional hydrological modelling
Sam Anderson, Valentina Radić
Hydrology and earth system sciences (2022) Vol. 26, Iss. 3, pp. 795-825
Open Access | Times Cited: 34

Showing 1-25 of 34 citing articles:

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
Karst spring discharge modeling based on deep learning using spatially distributed input data
Andreas Wünsch, Tanja Liesch, Guillaume Cinkus, et al.
Hydrology and earth system sciences (2022) Vol. 26, Iss. 9, pp. 2405-2430
Open Access | Times Cited: 39
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
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
A wavelet-assisted deep learning approach for simulating groundwater levels affected by low-frequency variability
Sivarama Krishna Reddy Chidepudi, Nicolas Masseï, Abderrahim Jardani, et al.
The Science of The Total Environment (2022) Vol. 865, pp. 161035-161035
Open Access | Times Cited: 33
Geospatial Artificial Intelligence (GeoAI) in the Integrated Hydrological and Fluvial Systems Modeling: Review of Current Applications and Trends
Carlos Gonzales‐Inca, Mikel Calle, Danny Croghan, et al.
Water (2022) Vol. 14, Iss. 14, pp. 2211-2211
Open Access | Times Cited: 28
Streamflow Estimation in a Mediterranean Watershed Using Neural Network Models: A Detailed Description of the Implementation and Optimization
Ana R. Oliveira, Tiago B. Ramos, Ramiro Neves
Water (2023) Vol. 15, Iss. 5, pp. 947-947
Open Access | Times Cited: 18
Unlocking the Potential of Artificial Intelligence for Sustainable Water Management Focusing Operational Applications
J. Drisya, Adel Bouhoula, Waleed Al-Zubari
Water (2024) Vol. 16, Iss. 22, pp. 3328-3328
Open Access | Times Cited: 6
Physics-encoded deep learning for integrated modeling of watershed hydrology and reservoir operations
Bofu Yu, Yi Zheng, Shaokun He, et al.
Journal of Hydrology (2025), pp. 133052-133052
Closed Access
Training deep learning models with a multi-station approach and static aquifer attributes for groundwater level simulation: what is the best way to leverage regionalised information?
Sivarama Krishna Reddy Chidepudi, Nicolas Masseï, Abderrahim Jardani, et al.
Hydrology and earth system sciences (2025) Vol. 29, Iss. 4, pp. 841-861
Open Access
Annual Peak Runoff Forecasting Using Two-Stage Input Variable Selection-Aided k-Nearest-Neighbors Ensemble
Wei Sun, Decheng Zeng, Shu Chen, et al.
Water Resources Management (2025)
Closed Access
Investigating the streamflow simulation capability of a new mass-conserving long short-term memory (MC-LSTM) model across the contiguous United States
Y Wang, Lujun Zhang, N. Benjamin Erichson, et al.
Journal of Hydrology (2025), pp. 133161-133161
Closed Access
Predicting Ili River streamflow change and identifying the major drivers with a novel hybrid model
Shuang Liu, Aihua Long, Denghua Yan, et al.
Journal of Hydrology Regional Studies (2024) Vol. 53, pp. 101807-101807
Open Access | Times Cited: 3
An illustration of model agnostic explainability methods applied to environmental data
Christopher K. Wikle, Abhirup Datta, Bhava Vyasa Hari, et al.
Environmetrics (2022) Vol. 34, Iss. 1
Open Access | Times Cited: 16
A Comparative Analysis of Multiple Machine Learning Methods for Flood Routing in the Yangtze River
Liwei Zhou, Ling Kang
Water (2023) Vol. 15, Iss. 8, pp. 1556-1556
Open Access | Times Cited: 9
Retracted: Spatiotemporal convolutional long short-term memory for regional streamflow predictions
Abdalla Mohammed, Gerald Corzo
Journal of Environmental Management (2023) Vol. 350, pp. 119585-119585
Open Access | Times Cited: 9
Integrating Euclidean and non-Euclidean spatial information for deep learning-based spatiotemporal hydrological simulation
Liangkun Deng, Xiang Zhang, Louise Slater, et al.
Journal of Hydrology (2024) Vol. 638, pp. 131438-131438
Closed Access | Times Cited: 3
Runoff Simulation in Data-Scarce Alpine Regions: Comparative Analysis Based on LSTM and Physically Based Models
Jiajia Yue, Li Zhou, Juan Du, et al.
Water (2024) Vol. 16, Iss. 15, pp. 2161-2161
Open Access | Times Cited: 3
Leveraging historic streamflow and weather data with deep learning for enhanced streamflow predictions
C.F. Schutte, Michael van der Laan, Barend van der Merwe
Journal of Hydroinformatics (2024) Vol. 26, Iss. 4, pp. 835-852
Open Access | Times Cited: 2
A parsimonious setup for streamflow forecasting using CNN-LSTM
Sudan Pokharel, Tirthankar Roy
Journal of Hydroinformatics (2024) Vol. 26, Iss. 11, pp. 2751-2761
Open Access | Times Cited: 2
Interpreting Deep Machine Learning for Streamflow Modeling Across Glacial, Nival, and Pluvial Regimes in Southwestern Canada
Sam Anderson, Valentina Radić
Frontiers in Water (2022) Vol. 4
Open Access | Times Cited: 10
Karst aquifer discharge response to rainfall interpreted as anomalous transport
Dan Elhanati, Nadine Goeppert, Brian Berkowitz
Hydrology and earth system sciences (2024) Vol. 28, Iss. 17, pp. 4239-4249
Open Access | Times Cited: 1
Synergizing Intuitive Physics and Big Data in Deep Learning: Can We Obtain Process Insights While Maintaining State‐Of‐The‐Art Hydrological Prediction Capability?
Leilei He, Liangsheng Shi, Wenxiang Song, et al.
Water Resources Research (2024) Vol. 60, Iss. 12
Open Access | Times Cited: 1
Modeling the Streamflow Response to Heatwaves Across Glacierized Basins in Southwestern Canada
Sam Anderson, Valentina Radić
Water Resources Research (2023) Vol. 59, Iss. 12
Open Access | Times Cited: 2
Explainable Spatially Distributed Hydrologic Modeling of a Snow Dominated Mountainous Karst Watershed Using Attention
Qianqiu Longyang, Seohye Choi, Hyrum Tennant, et al.
Authorea (Authorea) (2024)
Open Access
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