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:

Systematic Evaluation of Four Satellite AOD Datasets for Estimating PM2.5 Using a Random Forest Approach
Jana Handschuh, Thilo Erbertseder, F. W. Baier
Remote Sensing (2023) Vol. 15, Iss. 8, pp. 2064-2064
Open Access | Times Cited: 9

Showing 9 citing articles:

Spatiotemporal estimation of hourly PM2.5 using AOD derived from geostationary satellite Fengyun-4A and machine learning models for Greater Bangkok
Nishit Aman, Kasemsan Manomaiphiboon, Di Xian, et al.
Air Quality Atmosphere & Health (2024) Vol. 17, Iss. 7, pp. 1519-1534
Closed Access | Times Cited: 5

On the added value of satellite AOD for the investigation of ground-level PM2.5 variability
Jana Handschuh, Thilo Erbertseder, F. W. Baier
Atmospheric Environment (2024) Vol. 331, pp. 120601-120601
Open Access | Times Cited: 5

Evaluation of Aerosol Optical Depth (AOD) estimated by Copernicus Atmosphere Monitoring Service (CAMS) in Brazil
Altemar Lopes Pedreira Júnior, Leone Francisco Amorim Curado, Rafael da Silva Palácios, et al.
Theoretical and Applied Climatology (2025) Vol. 156, Iss. 2
Open Access

M2-APNet: A multimodal deep learning network to predict major air pollutants from temporal satellite images
G. Swetha, Rajeshreddy Datla, Chalavadi Vishnu, et al.
Journal of Applied Remote Sensing (2023) Vol. 18, Iss. 01
Closed Access | Times Cited: 12

Investigating the spatiotemporal associations between meteorological conditions and air pollution in the federal state Baden-Württemberg (Germany)
Leona Hoffmann, Lorenza Gilardi, Marie‐Therese Schmitz, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1

Spatiotemporal Characteristics and Influencing Factors of PM2.5 Levels in Lianyungang: Insights from a Multidimensional Analysis
Xue Li, Haihong He, Dewei Wang, et al.
Remote Sensing (2024) Vol. 16, Iss. 23, pp. 4495-4495
Open Access | Times Cited: 1

Calibrating low-cost sensors using MERRA-2 reconstructed PM2.5 mass concentration as a proxy
Vasudev Malyan, Vikas Kumar, Manoranjan Sahu, et al.
Atmospheric Pollution Research (2023) Vol. 15, Iss. 3, pp. 102027-102027
Closed Access | Times Cited: 4

Post-process correction improves the accuracy of satellite PM2.5 retrievals
Andrea Porcheddu, Ville Kolehmainen, Timo Lähivaara, et al.
Atmospheric measurement techniques (2024) Vol. 17, Iss. 19, pp. 5747-5764
Open Access

Spatiotemporal Estimation of Black Carbon Concentration in Tehran Using Aerosol Optical Depth Remote Sensing Data and Meteorological Parameters: Health Risk Assessment and Relationship with Green Spaces
Samira Norzaee, Majid Kermani, Arsalan Ghorbanian, et al.
Sustainable Cities and Society (2024) Vol. 117, pp. 105986-105986
Closed Access

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