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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:

Weather and the City: Machine Learning for Predicting and Attributing Fine Scale Air Quality to Meteorological and Urban Determinants
Firas Gerges, Maider Llaguno-Munitxa, Mark A. Zondlo, et al.
Environmental Science & Technology (2024) Vol. 58, Iss. 14, pp. 6313-6325
Closed Access | Times Cited: 9

Showing 9 citing articles:

Does urban–rural integration contribute to environmental health? Exploring the interplay between urban–rural integration and air quality dynamics in Yangtze River middle reaches city cluster
Jixin Yang, Bowen Fu, Xufeng Cui
Frontiers in Public Health (2025) Vol. 12
Open Access
Wind Extremes over Built Terrain: Characterization and Geometric Determinants
Jing Wang, Maider Llaguno-Munitxa, Qi Li, et al.
Boundary-Layer Meteorology (2025) Vol. 191, Iss. 2
Open Access
Fast prediction of odor concentration along pig manure chain based on machine learning: Monitoring 20 instead of over 100 odorous substances
Tiantian Cao, Yunhao Zheng, Bin Shang, et al.
Computers and Electronics in Agriculture (2025) Vol. 233, pp. 110146-110146
Closed Access
Machine learning-guided integration of fixed and mobile sensors for high resolution urban PM2.5 mapping
Tianshuai Li, Xin Huang, Xin Zhang, et al.
npj Climate and Atmospheric Science (2025) Vol. 8, Iss. 1
Open Access
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: 2
Machine learning and deep learning approaches for PM2.5 prediction: a study on urban air quality in Jaipur, India
Saurabh Singh, Gourav Suthar
Earth Science Informatics (2024) Vol. 18, Iss. 1
Closed Access | Times Cited: 1
Spatial and Spatiotemporal Modeling of Intra-Urban Ultrafine Particles: A Comparison of Linear, Nonlinear, Regularized, and Machine Learning Methods
Julien Vachon, Stéphane Buteau, Ying Liu, et al.
(2024)
Closed Access
Refined prediction of SO2 concentration around Chinese coking enterprises and exposure risk assessment of different populations based on buffer Latin hypercube
Lei Mei, Yuan Xu, Tienan Ju, et al.
Journal of Cleaner Production (2024), pp. 143833-143833
Closed Access
Assessment of Bimodal Machine Learning framework in predicting air quality index articulated as numerical and text encoded targets over urban centers
Jagadish Kumar Mogaraju
Research Square (Research Square) (2024)
Open Access
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