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:

A Comparative and Systematic Study of Machine Learning (ML) Approaches for Particulate Matter (PM) Prediction
A.S. Pandya, Rudraksh Nanavaty, Kishan Pipariya, et al.
Archives of Computational Methods in Engineering (2023) Vol. 31, Iss. 2, pp. 595-614
Closed Access | Times Cited: 9

Showing 9 citing articles:

Prediction of school PM2.5 by an attention-based deep learning approach informed with data from nearby air quality monitoring stations
Hanaa Aamer, Abdulrahman H. Ba-Alawi, Seok‐Won Kang, et al.
Chemosphere (2025) Vol. 375, pp. 144241-144241
Closed Access | Times Cited: 1

Toward causal artificial intelligence approach for PM2.5 interpretation: A discovery of structural causal models
Mallika Kliangkhlao, Apaporn Tipsavak, Thanathip Limna, et al.
Ecological Informatics (2025), pp. 103115-103115
Open Access

Elevating Hourly PM2.5 Forecasting in Istanbul, Türkiye: Leveraging ERA5 Reanalysis and Genetic Algorithms in a Comparative Machine Learning Model Analysis
Serdar Gündoğdu, Tolga Elbir
Chemosphere (2024) Vol. 364, pp. 143096-143096
Closed Access | Times Cited: 3

Mathematical and ANN Modelling for Convective Drying of Spanish Cherry Seeds: Bioactive Degradation, Energy Efficiency, and Mass Transfer Evaluation
Prashant Kumar Srivastava, Nandan Sit
Food Biophysics (2024) Vol. 20, Iss. 1
Closed Access | Times Cited: 1

Advances and Prospects in Machine Learning for GIS and Remote Sensing: A Comprehensive Review of Applications and Research Frontiers
Nozimjon Teshaev, Bobomurod Makhsudov, Izzatilla Ikramov, et al.
E3S Web of Conferences (2024) Vol. 590, pp. 03010-03010
Open Access | Times Cited: 1

Evaluation of Machine Learning Application on the Prediction of Particulate Matter Concentrations in Small/Medium-Sized City
Y.W. Lee, Iseul Na, Younggyu Son
Journal of Korean Society of Environmental Engineers (2024) Vol. 46, Iss. 10, pp. 537-550
Closed Access

Smart Environment: AI-Driven Predictions and Forecasting of Air Quality
S. R. Mugunthan
Journal of Soft Computing Paradigm (2023) Vol. 5, Iss. 4, pp. 390-403
Open Access

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