
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:
National ground-level NO2 predictions via satellite imagery driven convolutional neural networks
Elton L. Cao
Frontiers in Environmental Science (2023) Vol. 11
Open Access | Times Cited: 4
Elton L. Cao
Frontiers in Environmental Science (2023) Vol. 11
Open Access | Times Cited: 4
Showing 4 citing articles:
The influence of correlated features on neural network attribution methods in geoscience
Evan Krell, Antonios Mamalakis, Scott A. King, et al.
Environmental Data Science (2025) Vol. 4
Open Access
Evan Krell, Antonios Mamalakis, Scott A. King, et al.
Environmental Data Science (2025) Vol. 4
Open Access
Do Machine Learning Methods Improve Prediction of Ambient Air Pollutants with High Spatial Contrast? A Systematic Review
Julien Vachon, Jules Kerckhoffs, Stéphane Buteau, et al.
Environmental Research (2024) Vol. 262, pp. 119751-119751
Open Access | Times Cited: 3
Julien Vachon, Jules Kerckhoffs, Stéphane Buteau, et al.
Environmental Research (2024) Vol. 262, pp. 119751-119751
Open Access | Times Cited: 3
Review of "NitroNet – A deep-learning NO2 profile retrieval prototype for the TROPOMI satellite instrument"
(2024)
Open Access
(2024)
Open Access
NitroNet – a machine learning model for the prediction of tropospheric NO2 profiles from TROPOMI observations
Leon Kuhn, Steffen Beirle, Sergey Osipov, et al.
Atmospheric measurement techniques (2024) Vol. 17, Iss. 21, pp. 6485-6516
Open Access
Leon Kuhn, Steffen Beirle, Sergey Osipov, et al.
Atmospheric measurement techniques (2024) Vol. 17, Iss. 21, pp. 6485-6516
Open Access