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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:

Comparing the ability of different remotely sensed evapotranspiration products in enhancing hydrological model performance and reducing prediction uncertainty
Soufiane Taia, Andrea Scozzari, Lamia Erraioui, et al.
Ecological Informatics (2023) Vol. 78, pp. 102352-102352
Open Access | Times Cited: 10

Showing 10 citing articles:

Enhancing Pan evaporation predictions: Accuracy and uncertainty in hybrid machine learning models
Khabat Khosravi, Aitazaz A. Farooque, Seyed Amir Naghibi, et al.
Ecological Informatics (2024) Vol. 85, pp. 102933-102933
Open Access | Times Cited: 9
Revolutionizing the Future of Hydrological Science: Impact of Machine Learning and Deep Learning amidst Emerging Explainable AI and Transfer Learning
Rajib Maity, Aman Srivastava, Subharthi Sarkar, et al.
Applied Computing and Geosciences (2024) Vol. 24, pp. 100206-100206
Open Access | Times Cited: 5
Streamflow prediction based on the Soil and Water Assessment Tool in the Pajeú river basin, Brazilian semiarid
Thieres George Freire da Silva, Ana Karlla Penna Rocha, Alanderson Firmino de Lucas, et al.
Journal of South American Earth Sciences (2025), pp. 105420-105420
Closed Access
Web-Based Baseflow Estimation in SWAT Considering Spatiotemporal Recession Characteristics Using Machine Learning
Jimin Lee, Jeongho Han, Bernard A. Engel, et al.
Environments (2025) Vol. 12, Iss. 3, pp. 94-94
Open Access
Evaluation of evapotranspiration data and gridded products using robust linear estimators in Colombia
Gustavo Alfonso Araujo-Carrillo, Julio M. Duarte‐Carvajalino, Jhon Mauricio Estupiñán Casallas, et al.
Theoretical and Applied Climatology (2025) Vol. 156, Iss. 4
Open Access
Enhancing the streamflow simulation of a process-based hydrological model using machine learning and multi-source data
Huajin Lei, Hongyi Li, Wanpin Hu
Ecological Informatics (2024) Vol. 82, pp. 102755-102755
Open Access | Times Cited: 3
Enhanced calibration of a distributed hydrological model in the Brazilian Semi-Arid: integrating spatiotemporal evapotranspiration and streamflow data
Paloma Mara de Lima Ferreira, Adriano Rolim da Paz
Environmental Earth Sciences (2024) Vol. 83, Iss. 11
Closed Access | Times Cited: 2
A gap filling method for daily evapotranspiration of global flux data sets based on deep learning
Long Qian, Lifeng Wu, Zhitao Zhang, et al.
Journal of Hydrology (2024) Vol. 641, pp. 131787-131787
Closed Access | Times Cited: 2
Enhanced SWAT calibration through intelligent range-based parameter optimization
Lixin Zhao, Hongyan Li, Changhai Li, et al.
Journal of Environmental Management (2024) Vol. 367, pp. 121933-121933
Closed Access | Times Cited: 1
Applicability analysis of different evapotranspiration models for maize farmland in the lower Yellow River Plain based on eddy covariance measurements
Xiaojuan Ren, Guodong Li, Shengyan Ding, et al.
Ecohydrology & Hydrobiology (2024)
Closed Access
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