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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.

Requested Article:

Measuring the Emission Changes and Meteorological Dependence of Source‐Specific BC Aerosol Using Factor Analysis Coupled With Machine Learning
Tianjiao Dai, Qili Dai, Jing Ding, et al.
Journal of Geophysical Research Atmospheres (2023) Vol. 128, Iss. 15
Closed Access | Times Cited: 13

Showing 13 citing articles:

Application, opportunities, and challenges of digital technologies in the decarbonizing shipping industry: a bibliometric analysis
Guangnian Xiao, Lei Pan, Fengbo Lai
Frontiers in Marine Science (2025) Vol. 12
Open Access | Times Cited: 14
Insights into ozone pollution control in urban areas by decoupling meteorological factors based on machine learning
Yuqing Qiu, Xin Li, Wenxuan Chai, et al.
Atmospheric chemistry and physics (2025) Vol. 25, Iss. 3, pp. 1749-1763
Open Access | Times Cited: 1
Spatial source apportionment of airborne coarse particulate matter using PMF-Bayesian receptor model
Tianjiao Dai, Qili Dai, Jingchen Yin, et al.
The Science of The Total Environment (2024) Vol. 917, pp. 170235-170235
Closed Access | Times Cited: 7
Intrinsic and extrinsic techniques for quantification uncertainty of an interpretable GRU deep learning model used to predict atmospheric total suspended particulates (TSP) in Zabol, Iran during the dusty period of 120-days wind
Hamid Gholami, Aliakbar Mohammadifar, Reza Dahmardeh Behrooz, et al.
Environmental Pollution (2023) Vol. 342, pp. 123082-123082
Closed Access | Times Cited: 15
Black carbon in urban Jinan: variations, health risks, and driving factors analyzed with machine learning
Jiaqi Chen, Wenbin Yu, Xiaohan Cui, et al.
Journal of Environmental Sciences (2025)
Closed Access
Online monitoring of carbonaceous aerosols in a northern Chinese city: Temporal variations, main drivers, and health risks
Xiansheng Liu, Xun Zhang, Bowen Jin, et al.
Atmospheric Environment (2023) Vol. 316, pp. 120169-120169
Open Access | Times Cited: 6
Quantifying the pollution changes and meteorological dependence of airborne trace elements coupling source apportionment and machine learning
Haolin Wang, Xu Guan, Jiao Li, et al.
The Science of The Total Environment (2024) Vol. 948, pp. 174452-174452
Closed Access | Times Cited: 2
Interpretable Diurnal Impacts on Extreme Urban Pm2.5 Concentrations of Soil Temperature, Soil Water Content, Humidity and Temperature Inversion
B. de Foy, James J. Schauer
(2024)
Closed Access | Times Cited: 1
Interpretable diurnal impacts on extreme urban PM2.5 concentrations of soil temperature, soil water content, humidity and temperature inversion
B. de Foy, James J. Schauer
Atmospheric Research (2024) Vol. 307, pp. 107500-107500
Closed Access | Times Cited: 1
Assessing emission-driven changes in health risk of source-specific PM2.5-bound heavy metals by adjusting meteorological covariates
Luo Zhong-wei, Feng Chengliang, Jingyi Yang, et al.
The Science of The Total Environment (2024) Vol. 927, pp. 172038-172038
Closed Access
Insights on ozone pollution control in urban areas by decoupling meteorological factors based on machine learning
Yuqing Qiu, Xin Li, Wenxuan Chai, et al.
(2024)
Open Access
Comment on egusphere-2024-1576

(2024)
Open Access
An hourly and localized optimization method for soil fugitive dust emission inventory based on machine learning
Lilai Song, Zhen Li, J. Zhang, et al.
Journal of Environmental Sciences (2024)
Closed Access
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