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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:

Exploring Random Forest Machine Learning and Remote Sensing Data for Streamflow Prediction: An Alternative Approach to a Process-Based Hydrologic Modeling in a Snowmelt-Driven Watershed
Khandaker Iftekharul Islam, Emile Elias, Kenneth C. Carroll, et al.
Remote Sensing (2023) Vol. 15, Iss. 16, pp. 3999-3999
Open Access | Times Cited: 22

Showing 22 citing articles:

Incorporating multiple grid-based data in CNN-LSTM hybrid model for daily runoff prediction in the source region of the Yellow River Basin
F.X. Hu, Qinli Yang, J. Yang, et al.
Journal of Hydrology Regional Studies (2024) Vol. 51, pp. 101652-101652
Open Access | Times Cited: 21
Characterization of ventilated supercavitation regimes using Bayesian optimized Random Forest models
Hossein Ali Kamali, Mohammad-Reza Erfanian
Physics of Fluids (2025) Vol. 37, Iss. 1
Closed Access | Times Cited: 1
Evaluation and Comparison of Reanalysis Data for Runoff Simulation in the Data-Scarce Watersheds of Alpine Regions
Xiaofeng Wang, Jitao Zhou, Jiahao Ma, et al.
Remote Sensing (2024) Vol. 16, Iss. 5, pp. 751-751
Open Access | Times Cited: 5
Ensemble Streamflow Simulations in a Qinghai–Tibet Plateau Basin Using a Deep Learning Method with Remote Sensing Precipitation Data as Input
Jinqiang Wang, Zhanjie Li, Ling Zhou, et al.
Remote Sensing (2025) Vol. 17, Iss. 6, pp. 967-967
Open Access
Identifying the influence of hydroclimatic factors on streamflow: A multi-model data-driven approach
Khandaker Iftekharul Islam, James Gilbert
Journal of Hydrology (2025), pp. 132684-132684
Open Access
Forecasting the Biofuel Consumption Trend on a European Scale with the Random Forest Algorithm
Melis Alpaslan Takan, Gamzenur Özsin
Uluslararası mühendislik araştırma ve geliştirme dergisi (2025) Vol. 17, Iss. 1, pp. 126-136
Open Access
Assessment and Prediction of Water Yield in the Chandra Basin, Western Himalaya, India
M. Sobhana, Vinay Kumar Gaddam, Gnana Siva Sai Venkatesh Mendu, et al.
(2025), pp. 43-63
Closed Access
Predicting climate-driven changes in reservoir inflows and hydropower in Côte d'Ivoire using machine learning modeling
Salomon Obahoundjé, Arona Diédhiou, Komlavi Akpoti, et al.
Energy (2024) Vol. 302, pp. 131849-131849
Closed Access | Times Cited: 3
Streamflow Prediction with Time-Lag-Informed Random Forest and Its Performance Compared to SWAT in Diverse Catchments
Desalew Meseret Moges, Holger Virro, Alexander Kmoch, et al.
Water (2024) Vol. 16, Iss. 19, pp. 2805-2805
Open Access | Times Cited: 3
Soil and Water Assessment Tool (SWAT)-Informed Deep Learning for Streamflow Forecasting with Remote Sensing and In Situ Precipitation and Discharge Observations
Chunlin Huang, Ying Zhang, Jinliang Hou
Remote Sensing (2024) Vol. 16, Iss. 21, pp. 3999-3999
Open Access | Times Cited: 3
Assessing the impacts of climate change on streamflow dynamics: A machine learning perspective
Mehran Khan, Afed Ullah Khan, Sunaid Khan, et al.
Water Science & Technology (2023) Vol. 88, Iss. 9, pp. 2309-2331
Open Access | Times Cited: 7
A Novel Stochastic Tree Model for Daily Streamflow Prediction Based on A Noise Suppression Hybridization Algorithm and Efficient Uncertainty Quantification
Nasrin Fathollahzadeh Attar, Mohammad Taghi Sattari, Halit Apaydın
Water Resources Management (2024) Vol. 38, Iss. 6, pp. 1943-1964
Closed Access | Times Cited: 2
Performance evaluation of various hydrological models with respect to hydrological responses under climate change scenario: a review
Yilak Taye Bihon, Tarun Kumar Lohani, Abebe Temesgen Ayalew, et al.
Cogent Engineering (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 2
Prediction of daily leaf wetness duration using multi-step machine learning
Karam Alsafadi, Basma Alatrach, Saad Sh. Sammen, et al.
Computers and Electronics in Agriculture (2024) Vol. 224, pp. 109131-109131
Closed Access | Times Cited: 2
Predicting areal extent of groundwater contamination through geostatistical methods exploration in a data-limited rural basin
Khandaker Iftekharul Islam
Groundwater for Sustainable Development (2023) Vol. 23, pp. 101043-101043
Closed Access | Times Cited: 5
Enhanced Crop LAI Estimation via Random Forest Regression: Bayesian Optimization and Feature Selection Approach
Jun Zhang, Qiang Wu, C. Liu, et al.
Research Square (Research Square) (2024)
Open Access | Times Cited: 1
Jucazinho Dam Streamflow Prediction: A Comparative Analysis of Machine Learning Techniques
Erickson Johny Galindo da Silva, Artur Paiva Coutinho, Jean Firmino Cardoso, et al.
Hydrology (2024) Vol. 11, Iss. 7, pp. 97-97
Open Access | Times Cited: 1
Comparative assessment of empirical Random Forest family’s model in simulating future streamflow in different basin of Sarawak, Malaysia
Zulfaqar Sa’adi, Shamsuddin Shahid, Mohammed Sanusi Shiru, et al.
Journal of Atmospheric and Solar-Terrestrial Physics (2024) Vol. 265, pp. 106381-106381
Closed Access | Times Cited: 1
AI-Enhanced Multi-Algorithm R Shiny App for Predictive Modeling and Analytics- A Case study of Alzheimer’s Disease Diagnostics (Preprint)
Samuel Kakraba, Wenzheng Han, Sudesh Srivastav, et al.
(2024)
Closed Access | Times Cited: 1
Seasonal Variation Influence to Water Image Properties to Retrieve Nearshore Bathymetry Based on Cloud Machine Learning Approach

International Journal of Geoinformatics (2024)
Open Access
A new method for monthly streamflow prediction using multi-source data: Range-dependent multivariate adaptive regression splines-genetic algorithm
Mariam Idowu, Christoph Külls, Özgür Kişi
Hydrological Sciences Journal (2024) Vol. 69, Iss. 13, pp. 1860-1880
Closed Access
Dynamics of rain-triggered lahars and destructive power inferred from seismo-acoustic arrays and time-lapse camera correlation at Volcán de Fuego, Guatemala
Ashley R. Bosa, Gustavo Bejar, G. P. Waite, et al.
Natural Hazards (2024)
Open Access
Daily Streamflow Forecasting Using AutoML and Remote-Sensing-Estimated Rainfall Datasets in the Amazon Biomes
Matteo Bodini
Signals (2024) Vol. 5, Iss. 4, pp. 659-689
Open Access
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