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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:

Machine learning models for streamflow regionalization in a tropical watershed
Renan Gon Ferreira, Demétrius David da Silva, Abrahão Alexandre Alden Elesbon, et al.
Journal of Environmental Management (2020) Vol. 280, pp. 111713-111713
Closed Access | Times Cited: 77

Showing 1-25 of 77 citing articles:

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
Artificial intelligence for geoscience: Progress, challenges and perspectives
Tianjie Zhao, Sheng Wang, Chaojun Ouyang, et al.
The Innovation (2024) Vol. 5, Iss. 5, pp. 100691-100691
Open Access | Times Cited: 59
Modeling streamflow in non-gauged watersheds with sparse data considering physiographic, dynamic climate, and anthropogenic factors using explainable soft computing techniques
Charuni I. Madhushani, K. G. S. Dananjaya, I.U. Ekanayake, et al.
Journal of Hydrology (2024) Vol. 631, pp. 130846-130846
Closed Access | Times Cited: 24
River flow rate prediction in the Des Moines watershed (Iowa, USA): a machine learning approach
Ahmed Elbeltagi, Fabio Di Nunno, Nand Lal Kushwaha, et al.
Stochastic Environmental Research and Risk Assessment (2022) Vol. 36, Iss. 11, pp. 3835-3855
Closed Access | Times Cited: 39
Novel Ensemble Forecasting of Streamflow Using Locally Weighted Learning Algorithm
Rana Muhammad Adnan, Abolfazl Jaafari, Aadhityaa Mohanavelu, et al.
Sustainability (2021) Vol. 13, Iss. 11, pp. 5877-5877
Open Access | Times Cited: 48
Effect of environmental covariable selection in the hydrological modeling using machine learning models to predict daily streamflow
Guilherme Barbosa Reis, Demétrius David da Silva, Elpídio Inácio Fernandes Filho, et al.
Journal of Environmental Management (2021) Vol. 290, pp. 112625-112625
Closed Access | Times Cited: 45
Parsimonious statistical learning models for low-flow estimation
Johannes Laimighofer, Michael Melcher, Gregor Laaha
Hydrology and earth system sciences (2022) Vol. 26, Iss. 1, pp. 129-148
Open Access | Times Cited: 26
Assessing machine learning models for streamflow estimation: a case study in Oued Sebaou watershed (Northern Algeria)
Zaki Abda, Bilel Zerouali, Mohamed Chettih, et al.
Hydrological Sciences Journal (2022) Vol. 67, Iss. 9, pp. 1328-1341
Closed Access | Times Cited: 25
Seasonal forecast of soil moisture over Mediterranean-climate forest catchments using a machine learning approach
R. C. Joshi, Dongryeol Ryu, Patrick N.J. Lane, et al.
Journal of Hydrology (2023) Vol. 619, pp. 129307-129307
Closed Access | Times Cited: 14
Approaches for the short-term prediction of natural daily streamflows using hybrid machine learning enhanced with grey wolf optimization
Alfeu D. Martinho, Camila Martins Saporetti, Leonardo Goliatt
Hydrological Sciences Journal (2022) Vol. 68, Iss. 1, pp. 16-33
Closed Access | Times Cited: 21
Machine learning-based modeling of surface sediment concentration in Doce river basin
Uilson Ricardo Venâncio Aires, Demétrius David da Silva, Elpídio Inácio Fernandes Filho, et al.
Journal of Hydrology (2023) Vol. 619, pp. 129320-129320
Closed Access | Times Cited: 13
Developing machine learning models for relative humidity prediction in air-based energy systems and environmental management applications
Kinza Qadeer, Ashfaq Ahmad, Muhammad Abdul Qyyum, et al.
Journal of Environmental Management (2021) Vol. 292, pp. 112736-112736
Closed Access | Times Cited: 25
A new methodological framework for geophysical sensor combinations associated with machine learning algorithms to understand soil attributes
Danilo César de Mello, Gustavo Vieira Veloso, Marcos Guedes de Lana, et al.
Geoscientific model development (2022) Vol. 15, Iss. 3, pp. 1219-1246
Open Access | Times Cited: 17
Machine learning-driven habitat suitability modeling of Suaeda aegyptiaca for sustainable industrial cultivation in saline regions
Sara Edrisnia, Mohammad Etemadi, Hamid Reza Pourghasemi
Industrial Crops and Products (2025) Vol. 225, pp. 120427-120427
Open Access
A generalised hydrological model for streamflow prediction using wavelet Ensembling
Chinmaya Panda, Kanhu Charan Panda, Ram Mandir Singh, et al.
Journal of Hydrology (2025), pp. 132883-132883
Closed Access
Sentinel-2 imagery coupled with machine learning to modelling water turbidity in the Doce River Basin, Brazil
Felipe Carvalho Santana, Márcio Rocha Francelino, Rafael Gomes Siqueira, et al.
Environmental Monitoring and Assessment (2025) Vol. 197, Iss. 4
Closed Access
Main Methods of Regionalization of Minimum Flows, Advantages and Disadvantages and Their Limitations: A Review
Walter Vaca, Joel Roberto Guimarães Vasco, Raviel Eurico Basso
Water (2025) Vol. 17, Iss. 7, pp. 1079-1079
Open Access
Predicting solubility of nitrous oxide in ionic liquids using machine learning techniques and gene expression programming
Menad Nait Amar, Mohammed Abdelfetah Ghriga, Mohamed El Amine Ben Seghier, et al.
Journal of the Taiwan Institute of Chemical Engineers (2021) Vol. 128, pp. 156-168
Closed Access | Times Cited: 21
Monthly River Discharge Forecasting Using Hybrid Models Based on Extreme Gradient Boosting Coupled with Wavelet Theory and Lévy–Jaya Optimization Algorithm
Jincheng Zhou, Dan Wang, Shahab S. Band, et al.
Water Resources Management (2023) Vol. 37, Iss. 10, pp. 3953-3972
Closed Access | Times Cited: 9
Explorative analysis of varying spatial resolutions on a soil type classification model and it's transferability in an agricultural lowland area of Lombardy, Italy
Odunayo David Adeniyi, Michael Maerker
Geoderma Regional (2024) Vol. 37, pp. e00785-e00785
Open 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
Low-flow estimation beyond the mean – expectile loss and extreme gradient boosting for spatiotemporal low-flow prediction in Austria
Johannes Laimighofer, Michael Melcher, Gregor Laaha
Hydrology and earth system sciences (2022) Vol. 26, Iss. 17, pp. 4553-4574
Open Access | Times Cited: 12
The Brazilian semiarid region over the past 21,000 years: Vegetation dynamics in small pulses of higher humidity
Rafael César Silva, Guilherme Resende Corrêa, Daniel Meira Arruda, et al.
Ecological Informatics (2023) Vol. 77, pp. 102259-102259
Closed Access | Times Cited: 7
Environmental vulnerability assessment of the Doce River basin, southeastern Brazil
Jasmine Alves Campos, Demétrius David da Silva, Elpídio Inácio Fernandes Filho, et al.
Environmental Monitoring and Assessment (2023) Vol. 195, Iss. 9
Closed Access | Times Cited: 7
Comparison and integration of hydrological models and machine learning models in global monthly streamflow simulation
Jiawen Zhang, Dongdong Kong, Jianfeng Li, et al.
Journal of Hydrology (2024), pp. 132549-132549
Closed Access | Times Cited: 2
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