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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:

Deep Learning Approach with LSTM for Daily Streamflow Prediction in a Semi-Arid Area: A Case Study of Oum Er-Rbia River Basin, Morocco
Karima Nifa, Abdelghani Boudhar, Hamza Ouatiki, et al.
Water (2023) Vol. 15, Iss. 2, pp. 262-262
Open Access | Times Cited: 33

Showing 1-25 of 33 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: 81
Monthly streamflow forecasting by machine learning methods using dynamic weather prediction model outputs over Iran
Mohammad Akbarian, Bahram Saghafian, Saeed Golian
Journal of Hydrology (2023) Vol. 620, pp. 129480-129480
Closed Access | Times Cited: 73
Evaluation of the support vector regression (SVR) and the random forest (RF) models accuracy for streamflow prediction under a data-scarce basin in Morocco
Bouchra Bargam, Abdelghani Boudhar, Christophe Kinnard, et al.
Deleted Journal (2024) Vol. 6, Iss. 6
Open Access | Times Cited: 9
Machine Learning Research Trends in Africa: A 30 Years Overview with Bibliometric Analysis Review
Absalom E. Ezugwu, Olaide N. Oyelade, Abiodun M. Ikotun, et al.
Archives of Computational Methods in Engineering (2023) Vol. 30, Iss. 7, pp. 4177-4207
Open Access | Times Cited: 20
Evaluating Time-Series Prediction of Temperature, Relative Humidity, and CO2 in the Greenhouse with Transformer-Based and RNN-Based Models
Ju Yeon Ahn, Yoel Kim, H. W. Park, et al.
Agronomy (2024) Vol. 14, Iss. 3, pp. 417-417
Open Access | Times Cited: 7
An accurate snow cover product for the Moroccan Atlas Mountains: Optimization of the MODIS NDSI index threshold and development of snow fraction estimation models
Mostafa Bousbaa, Abdelghani Boudhar, Christophe Kinnard, et al.
International Journal of Applied Earth Observation and Geoinformation (2024) Vol. 129, pp. 103851-103851
Open Access | Times Cited: 7
Multimodal Fusion of Optimized GRU–LSTM with Self-Attention Layer for Hydrological Time Series Forecasting
Hüseyin Çağan Kılınç, Sina Apak, Furkan Ozkan, et al.
Water Resources Management (2024) Vol. 38, Iss. 15, pp. 6045-6062
Closed Access | Times Cited: 6
Futuristic Streamflow Prediction Based on CMIP6 Scenarios Using Machine Learning Models
Basir Ullah, Muhammad Fawad, Afed Ullah Khan, et al.
Water Resources Management (2023) Vol. 37, Iss. 15, pp. 6089-6106
Open Access | Times Cited: 13
Advanced learning models for estimating the spatio-temporal variability of reference evapotranspiration using in-situ and ERA5-Land reanalysis data
Oumaima Kaissi, Salwa Belaqziz, Mohamed Hakim Kharrou, et al.
Modeling Earth Systems and Environment (2023) Vol. 10, Iss. 2, pp. 1915-1939
Closed Access | Times Cited: 12
An evaluation of random forest based input variable selection methods for one month ahead streamflow forecasting
Wei Fang, Kun Ren, Tie-Jun Liu, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 4
Utilizing Deep Learning Models to Predict Streamflow
Habtamu Alemu Workneh, Manoj K. Jha
Water (2025) Vol. 17, Iss. 5, pp. 756-756
Open Access
Long Short-Term Memory (LSTM) Networks for Accurate River Flow Forecasting: A Case Study on the Morava River Basin (Serbia)
Igor Leščešen, Mitra Tanhapour, Pavla Pekárová, et al.
Water (2025) Vol. 17, Iss. 6, pp. 907-907
Open Access
Comparative analysis of daily global solar radiation prediction using deep learning models inputted with stochastic variables
Amit Kumar Yadav, Raj Kumar, Meizi Wang, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
FEATURE SELECTION METHODS FOR LSTM-BASED RIVER WATER LEVEL AND DISCHARGE FORECASTING
Almas Alzhanov, Aliya Nugumanova
Scientific Journal of Astana IT University (2025)
Open Access
Performance of LSTM over SWAT in Rainfall-Runoff Modeling in a Small, Forested Watershed: A Case Study of Cork Brook, RI
Shiva Gopal Shrestha, Soni M. Pradhanang
Water (2023) Vol. 15, Iss. 23, pp. 4194-4194
Open Access | Times Cited: 9
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: 3
Enhancing hydrological predictions: optimised decision tree modelling for improved monthly inflow forecasting
Osama A. Abozweita, Ali Najah Ahmed, Lariyah Mohd Sidek, et al.
Journal of Hydroinformatics (2024)
Open Access | Times Cited: 3
Academic assistance chatbot-a comprehensive NLP and deep learning-based approaches
Nermin K. Negied, Sara Anwar, Karim M. Abouaish, et al.
Indonesian Journal of Electrical Engineering and Computer Science (2024) Vol. 33, Iss. 2, pp. 1042-1042
Open Access | Times Cited: 2
Optimizing seasonal discharge predictions: a hybridized approach with AI and non-linear models
Shailza Sharma, Mahesh Patel
Multiscale and Multidisciplinary Modeling Experiments and Design (2024) Vol. 7, Iss. 4, pp. 3405-3423
Closed Access | Times Cited: 2
Machine learning‐based streamflow forecasting using CMIP6 scenarios: Assessing performance and improving hydrological projections and climate change
Veysi Kartal
Hydrological Processes (2024) Vol. 38, Iss. 6
Open Access | Times Cited: 2
Improving deep learning-based streamflow forecasting under trend varying conditions through evaluation of new wavelet preprocessing technique
Mohammad Reza M. Behbahani, Maryam Mazarei, Amvrossios C. Bagtzoglou
Stochastic Environmental Research and Risk Assessment (2024) Vol. 38, Iss. 10, pp. 3963-3984
Closed Access | Times Cited: 2
Leveraging advanced deep learning and machine learning approaches for snow depth prediction using remote sensing and ground data
Haytam Elyoussfi, Abdelghani Boudhar, Salwa Belaqziz, et al.
Journal of Hydrology Regional Studies (2024) Vol. 57, pp. 102085-102085
Closed Access | Times Cited: 2
Basin-Scale Streamflow Projections for Greater Pamba River Basin, India Integrating GCM Ensemble Modelling and Flow Accumulation-Weighted LULC Overlay in Deep Learning Environment
Arathy Nair Geetha Raveendran Nair, Shamla Dilama Shamsudeen, Meera G. Mohan, et al.
Sustainability (2023) Vol. 15, Iss. 19, pp. 14148-14148
Open Access | Times Cited: 5
An energy prediction approach using bi-directional long short-term memory for a hydropower plant in Laos
Suriya Kaewarsa, Vanhkham Kongpaseuth
Electrical Engineering (2023) Vol. 106, Iss. 3, pp. 2609-2625
Closed Access | Times Cited: 5
Feature Extraction from Satellite-Derived Hydroclimate Data: Assessing Impacts on Various Neural Networks for Multi-Step Ahead Streamflow Prediction
Fatemeh Ghobadi, Amir Saman Tayerani Charmchi, Doosun Kang
Sustainability (2023) Vol. 15, Iss. 22, pp. 15761-15761
Open Access | Times Cited: 5
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