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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.

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Showing 21 citing articles:

Spatiotemporally continuous estimates of daily 1-km PM2.5 concentrations and their long-term exposure in China from 2000 to 2020
Qingqing He, Tong Ye, Weihang Wang, et al.
Journal of Environmental Management (2023) Vol. 342, pp. 118145-118145
Closed Access | Times Cited: 21
Evaluating TROPOMI and MODIS performance to capture the dynamic of air pollution in São Paulo state: A case study during the COVID-19 outbreak
Anderson Paulo Rudke, Jorge Alberto Martins, Ricardo Hallak, et al.
Remote Sensing of Environment (2023) Vol. 289, pp. 113514-113514
Open Access | Times Cited: 20
Mapping the seamless hourly surface visibility in China: a real-time retrieval framework using a machine-learning-based stacked ensemble model
Xutao Zhang, Ke Gui, Zhaoliang Zeng, et al.
npj Climate and Atmospheric Science (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 7
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: 6
Transboundary vegetation fire smoke and expressed sentiment: Evidence from Twitter
Rui Du, Ajkel Mino, Jianghao Wang, et al.
Journal of Environmental Economics and Management (2024) Vol. 124, pp. 102928-102928
Closed Access | Times Cited: 4
Aerosol optical depth climatology from the high-resolution MAIAC product over Europe: differences between major European cities and their surrounding environments
Ludovico Di Antonio, Claudia Di Biagio, Gilles Forêt, et al.
Atmospheric chemistry and physics (2023) Vol. 23, Iss. 19, pp. 12455-12475
Open Access | Times Cited: 9
Data augmentation for bias correction in mapping PM2.5 based on satellite retrievals and ground observations
Tan Mi, Dié Tang, Jianbo Fu, et al.
Geoscience Frontiers (2023) Vol. 15, Iss. 1, pp. 101686-101686
Open Access | Times Cited: 8
Impacts of Strategic Mobility Restrictions Policies during 2020 COVID-19 Outbreak on Brazil’s Regional Air Quality
Anderson Paulo Rudke, Daniela S. de Almeida, Ronaldo Adriano Alves, et al.
Aerosol and Air Quality Research (2022) Vol. 22, Iss. 4, pp. 210351-210351
Open Access | Times Cited: 13
Importance of aerosol composition and aerosol vertical profiles in global spatial variation in the relationship between PM2.5 and aerosol optical depth
Haihui Zhu, Randall V. Martin, Aaron van Donkelaar, et al.
Atmospheric chemistry and physics (2024) Vol. 24, Iss. 20, pp. 11565-11584
Open Access | Times Cited: 2
Estimation of Regional Ground-Level PM2.5 Concentrations Directly from Satellite Top-of-Atmosphere Reflectance Using A Hybrid Learning Model
Yu Feng, Shurui Fan, Kewen Xia, et al.
Remote Sensing (2022) Vol. 14, Iss. 11, pp. 2714-2714
Open Access | Times Cited: 12
Evaluation and comparison of MODIS aerosol optical depth retrieval algorithms over Brazil
Anderson Paulo Rudke, Jorge Alberto Martins, Leila Droprinchinski Martins, et al.
Atmospheric Environment (2023) Vol. 314, pp. 120130-120130
Closed Access | Times Cited: 6
Establishment of aerosol optical depth dataset in the Sichuan Basin by the random forest approach
Mengjiao Jiang, Zhihang Chen, Yinshan Yang, et al.
Atmospheric Pollution Research (2022) Vol. 13, Iss. 5, pp. 101394-101394
Open Access | Times Cited: 10
Enhancing the reliability of hindcast modeling for air pollution using history-informed machine learning and satellite remote sensing in China
Qingqing He, Tong Ye, Ming Zhang, et al.
Atmospheric Environment (2023) Vol. 312, pp. 119994-119994
Closed Access | Times Cited: 4
Variation of Aerosol Optical Depth Measured by Sun Photometer at a Rural Site near Beijing during the 2017–2019 Period
Xiu Wu, Jinlong Yuan, Tianwen Wei, et al.
Remote Sensing (2022) Vol. 14, Iss. 12, pp. 2908-2908
Open Access | Times Cited: 4
Effects of Anthropogenic Emission Control and Meteorology Changes on the Inter-Annual Variations of PM2.5–AOD Relationship in China
Ling Qi, Haotian Zheng, Dian Ding, et al.
Remote Sensing (2022) Vol. 14, Iss. 18, pp. 4683-4683
Open Access | Times Cited: 3
Full-coverage 1-km estimates and spatiotemporal trends of aerosol optical depth over Taiwan from 2003 to 2019
Weihang Wang, Qingqing He, Ming Zhang, et al.
Atmospheric Pollution Research (2022) Vol. 13, Iss. 11, pp. 101579-101579
Closed Access | Times Cited: 3
Examinando la relación de la profundidad óptica de aerosoles derivada de imágenes MODIS con contagios por COVID-19 en Santiago, Chile
Marco A. Peña, Manuel Fuenzalida
Revista Cartográfica (2024), Iss. 108, pp. 99-116
Open Access
Land Cover Disaggregated Fire Occurrence and Particulate Matter2.5 Relationship in the Mekong Region: A Comprehensive Study
Nektaria Adaktylou, Dimitris Stratoulias, J. Borgman, et al.
ISPRS International Journal of Geo-Information (2024) Vol. 13, Iss. 6, pp. 206-206
Open Access
Changing PM2.5 and related meteorology over India from 1950–2014: a new perspective from a chemistry-climate model ensemble
Sarah E. Hancock, Arlene M. Fiore, Daniel M. Westervelt, et al.
Environmental Research Climate (2023) Vol. 2, Iss. 1, pp. 015003-015003
Open Access | Times Cited: 1
Assessing the impact of a waste incinerator on the environment using the MAIAC-AOD and AERMOD models
Anuttara Hongthong, Supachai Nakapan
Frontiers in Environmental Science (2023) Vol. 11
Open Access | Times Cited: 1
Transboundary Wildfire Smoke and Expressed Sentiment: Evidence from Twitter
Rui Du, Ajkel Mino, Jianghao Wang, et al.
SSRN Electronic Journal (2022)
Closed Access | Times Cited: 1
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