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 16 citing articles:

High-resolution urban air pollution mapping
Joshua S. Apte, Chirag Manchanda
Science (2024) Vol. 385, Iss. 6707, pp. 380-385
Open Access | Times Cited: 16

Machine learning-enhanced high-resolution exposure assessment of ultrafine particles
Yudie Jianyao, Hongyong Yuan, Guofeng Su, et al.
Nature Communications (2025) Vol. 16, Iss. 1
Open Access

Examining the social distributions in neighbourhood black carbon and ultrafine particles in Montreal and Toronto, Canada
Emmanuelle Batisse, Marshall Lloyd, Alicia Cavanaugh, et al.
Environment International (2025), pp. 109395-109395
Open Access

Traffic-related air pollution backcasting using convolutional neural network and long short-term memory approach
Arman Ganji, Marshall Lloyd, Junshi Xu, et al.
The Science of The Total Environment (2025) Vol. 976, pp. 179286-179286
Closed Access

Dynamic assessment of population exposure to traffic-originated PM2.5 based on multisource geo-spatial data
Hui Zhong, Rui Xu, Hong‐Liang Lu, et al.
Transportation Research Part D Transport and Environment (2023) Vol. 124, pp. 103923-103923
Closed Access | Times Cited: 11

Exploring the triple burden of social disadvantage, mobility poverty, and exposure to traffic-related air pollution
Junshi Xu, Milad Saeedi, Jad Zalzal, et al.
The Science of The Total Environment (2024) Vol. 920, pp. 170947-170947
Open Access | Times Cited: 4

High-resolution spatial and spatiotemporal modelling of air pollution using fixed site and mobile monitoring in a Canadian city
Sierra Clark, Ryan Kulka, Stéphane Buteau, et al.
Environmental Pollution (2024) Vol. 356, pp. 124353-124353
Open Access | Times Cited: 4

Harnessing AI to unmask Copenhagen's invisible air pollutants: A study on three ultrafine particle metrics
Heresh Amini, Marie Bergmann, Seyed Mahmood Taghavi Shahri, et al.
Environmental Pollution (2024) Vol. 346, pp. 123664-123664
Open Access | Times Cited: 3

Combining Google traffic map with deep learning model to predict street-level traffic-related air pollutants in a complex urban environment
Peng Wei, Hao Song, Yuan Shi, et al.
Environment International (2024) Vol. 191, pp. 108992-108992
Open Access | Times Cited: 3

Capturing Exposure Disparities with Chemical Transport Models: Evaluating the Suitability of Downscaling Using Land Use Regression
Jad Zalzal, Laura Minet, Jeffrey R. Brook, et al.
Environmental Science & Technology (2024) Vol. 58, Iss. 32, pp. 14348-14360
Closed Access | Times Cited: 1

Airborne ultrafine particle concentrations and brain cancer incidence in Canada’s two largest cities
Marshall Lloyd, Toyib Olaniyan, Arman Ganji, et al.
Environment International (2024), pp. 109088-109088
Open Access | Times Cited: 1

Predicting within-city spatiotemporal variations in daily median outdoor ultrafine particle number concentrations and size in Montreal and Toronto, Canada
Alessya Venuta, Marshall Lloyd, Arman Ganji, et al.
Environmental Epidemiology (2024) Vol. 8, Iss. 4, pp. e323-e323
Open Access

Comment on egusphere-2024-2930

(2024)
Closed Access

Ultrafine Particle Generation from Ozone Oxidation of Cannabis Smoke
Kristen Yeh, Jenna C. Ditto, Laura-Hélèna Rivellini, et al.
Environmental Science & Technology (2024)
Closed Access

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