
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 of different machine learning approaches for predicting high concentration episodes of ground-level ozone: A case study in Catalonia, Spain
David Vicente, Fernando Salazar, Sergio Ricardo López-Chacón, et al.
Atmospheric Pollution Research (2023) Vol. 15, Iss. 3, pp. 101999-101999
Closed Access | Times Cited: 6
David Vicente, Fernando Salazar, Sergio Ricardo López-Chacón, et al.
Atmospheric Pollution Research (2023) Vol. 15, Iss. 3, pp. 101999-101999
Closed Access | Times Cited: 6
Showing 6 citing articles:
Predictive modeling of Enterococcus sp. removal with limited data from different advanced oxidation processes: A machine learning approach
Pavel Pascacio, David Vicente, Fernando Salazar, et al.
Journal of environmental chemical engineering (2024) Vol. 12, Iss. 3, pp. 112530-112530
Open Access | Times Cited: 4
Pavel Pascacio, David Vicente, Fernando Salazar, et al.
Journal of environmental chemical engineering (2024) Vol. 12, Iss. 3, pp. 112530-112530
Open Access | Times Cited: 4
Identification of Factors Influencing Episodes of High PM10 Concentrations in the Air in Krakow (Poland) Using Random Forest Method
Tomasz Gorzelnik, Marek Bogacki, Robert Oleniacz
Sustainability (2024) Vol. 16, Iss. 20, pp. 9015-9015
Open Access | Times Cited: 2
Tomasz Gorzelnik, Marek Bogacki, Robert Oleniacz
Sustainability (2024) Vol. 16, Iss. 20, pp. 9015-9015
Open Access | Times Cited: 2
Ozone exceedance forecasting with enhanced extreme instance augmentation: A case study in Germany
Tuo Deng, Astrid Manders, Arjo Segers, et al.
Environmental Modelling & Software (2024) Vol. 181, pp. 106162-106162
Open Access | Times Cited: 1
Tuo Deng, Astrid Manders, Arjo Segers, et al.
Environmental Modelling & Software (2024) Vol. 181, pp. 106162-106162
Open Access | Times Cited: 1
SOLDIER: SOLution for Dam behavior Interpretation and safety Evaluation with boosted Regression trees
Fernando Salazar, Joaquín Irazábal González, André Conde
SoftwareX (2023) Vol. 25, pp. 101598-101598
Open Access | Times Cited: 3
Fernando Salazar, Joaquín Irazábal González, André Conde
SoftwareX (2023) Vol. 25, pp. 101598-101598
Open Access | Times Cited: 3
A Review of Technologies and Challenges for Integrated Modeling Analysis
Louis H. Sigler, Pere-Andreu Ubach, J. Mora, et al.
Archives of Computational Methods in Engineering (2024)
Open Access
Louis H. Sigler, Pere-Andreu Ubach, J. Mora, et al.
Archives of Computational Methods in Engineering (2024)
Open Access
Analysis of tropospheric ozone concentration and their predictors in mainland Portugal
Catarina Alonso, Célia M. Gouveia, João A. Santos
Atmospheric Research (2024) Vol. 314, pp. 107766-107766
Closed Access
Catarina Alonso, Célia M. Gouveia, João A. Santos
Atmospheric Research (2024) Vol. 314, pp. 107766-107766
Closed Access