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:

Instantaneous aerosol and surface retrieval using satellites in geostationary orbit (iAERUS-GEO) – estimation of 15 min aerosol optical depth from MSG/SEVIRI and evaluation with reference data
Xavier Ceamanos, Bruno Six, Suman Moparthy, et al.
Atmospheric measurement techniques (2023) Vol. 16, Iss. 10, pp. 2575-2599
Open Access | Times Cited: 12

Showing 12 citing articles:

First atmospheric aerosol-monitoring results from the Geostationary Environment Monitoring Spectrometer (GEMS) over Asia
Yeseul Cho, Jhoon Kim, Sujung Go, et al.
Atmospheric measurement techniques (2024) Vol. 17, Iss. 14, pp. 4369-4390
Open Access | Times Cited: 8

Aerosol optical depth retrieval from the EarthCARE Multi-Spectral Imager: the M-AOT product
Nicole Docter, René Preusker, Florian Filipitsch, et al.
Atmospheric measurement techniques (2023) Vol. 16, Iss. 13, pp. 3437-3457
Open Access | Times Cited: 17

Remote sensing and model analysis of biomass burning smoke transported across the Atlantic during the 2020 Western US wildfire season
Xavier Ceamanos, Quentin Coopman, Maya George, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 11

Multi-layer retrieval of aerosol optical depth in the troposphere using SEVIRI data: a case study of the European continent
Maryam Pashayi, Mehran Satari, Mehdi Momeni Shahraki
Atmospheric measurement techniques (2025) Vol. 18, Iss. 6, pp. 1415-1439
Open Access

Parameterizing spectral surface reflectance relationships for the Dark Target aerosol algorithm applied to a geostationary imager
Mijin Kim, R. C. Levy, L. A. Remer, et al.
Atmospheric measurement techniques (2024) Vol. 17, Iss. 7, pp. 1913-1939
Open Access | Times Cited: 3

Insights into airborne particulate matter: artificial intelligence-driven PM2.5 modelling in Hyderabad district, India
A K Nandan, Aneesh Mathew
Stochastic Environmental Research and Risk Assessment (2024)
Closed Access | Times Cited: 1

Aerosol Optical Depth Retrieval for Sentinel-2 Based on Convolutional Neural Network Method
Jie Jiang, Jiaxin Liu, Donglai Jiao
Atmosphere (2023) Vol. 14, Iss. 9, pp. 1400-1400
Open Access | Times Cited: 3

MAGARA: a Multi-Angle Geostationary Aerosol Retrieval Algorithm
James A. Limbacher, Ralph A. Kahn, Mariel D. Friberg, et al.
Atmospheric measurement techniques (2024) Vol. 17, Iss. 2, pp. 471-498
Open Access

Aerosol Optical Depth Measurements from a Simulated Low-Cost Multi-Wavelength Ground-Based Camera: A Clear Case over a Peri-Urban Area
Valentin Boulisset, Jean‐Luc Attié, Ronan Tournier, et al.
Remote Sensing (2023) Vol. 16, Iss. 1, pp. 140-140
Open Access | Times Cited: 1

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