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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:

PM2.5 Estimation using Machine Learning Models and Satellite Data: A Literature Review
Mitra Unik, Imas Sukaesih Sitanggang, Lailan Syaufina, et al.
International Journal of Advanced Computer Science and Applications (2023) Vol. 14, Iss. 5
Open Access | Times Cited: 13

Showing 13 citing articles:

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: 5
Estimation of PM concentrations in the Philippines using Sentinel-5P and artificial neural network
Ma. Angelica S. De Hitta, Ellison C. Castro, Miguel Félix, et al.
(2025), pp. 30-30
Closed Access
A spatiotemporal deep learning ensemble for multi-step PM2.5 prediction: A case study of Bangkok metropolitan region in Thailand
Veerasit Kaewbundit, Chaiyo Churngam, Papis Wongchaisuwat
Atmospheric Pollution Research (2025), pp. 102406-102406
Closed Access
Time-Series Data-Driven PM2.5 Forecasting: From Theoretical Framework to Empirical Analysis
Chengqian Wu, Ruiyang Wang, Siyu Lu, et al.
Atmosphere (2025) Vol. 16, Iss. 3, pp. 292-292
Open Access
Application of Random Forest Algorithm to Analyze the Confidence Level of Forest Fire Hotspots in Riau Peatland
Mitra Unik, Imas Sukaesih Sitanggang, Lailan Syaufina, et al.
Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) (2025) Vol. 15, Iss. 2, pp. 255-255
Open Access
An Estimation of Daily PM2.5 Concentration in Thailand Using Satellite Data at 1-Kilometer Resolution
Suhaimee Buya, Sasiporn Usanavasin, Hideomi Gokon, et al.
Sustainability (2023) Vol. 15, Iss. 13, pp. 10024-10024
Open Access | Times Cited: 6
Do Machine Learning Methods Improve Prediction of Ambient Air Pollutants with High Spatial Contrast? A Systematic Review
Julien Vachon, Jules Kerckhoffs, Stéphane Buteau, et al.
Environmental Research (2024) Vol. 262, pp. 119751-119751
Open Access | Times Cited: 1
Enhanced PM2.5 estimation across China: An AOD-independent two-stage approach incorporating improved spatiotemporal heterogeneity representations
Q. Chen, Kaiwen Shao, Songlin Zhang
Journal of Environmental Management (2024) Vol. 368, pp. 122107-122107
Open Access | Times Cited: 1
Knowledge Management System For Forest and Land Fire Mitigation in Indonesia: A Web-Based Application Development
Mitra Unik, Yoze Rizki, Imas Sukaesih Sitanggang, et al.
Jurnal Manajemen Hutan Tropika (Journal of Tropical Forest Management) (2024) Vol. 30, Iss. 1, pp. 12-20
Open Access | Times Cited: 1
Calibration of CAMS PM2.5 data over Hungary: a machine learning approach
Achraf Qor‐el‐aine, András Béres, Gábor Géczi
Environmental Research Communications (2024) Vol. 6, Iss. 7, pp. 075026-075026
Open Access
The Role of Machine Learning in Enhancing Particulate Matter Estimation: A Systematic Literature Review
Amjad Alkhodaidi, Afraa Attiah, Alaa Mhawish, et al.
Technologies (2024) Vol. 12, Iss. 10, pp. 198-198
Open Access
Daily high-resolution surface PM2.5 estimation over Europe by ML-based downscaling of the CAMS regional forecast
Shobitha Shetty, Paul Hamer, Kerstin Stebel, et al.
Environmental Research (2024) Vol. 264, pp. 120363-120363
Open Access
Theoretical Study to Support Proposed Framework for Spatial Modeling of PM2.5 Concentration in Pekanbaru City
Retno Tri Wahyuni, Dirman Hanafi, Razali Tomari, et al.
(2024), pp. 13-18
Closed Access
Applied Deep Learning for Automated Information Capture and Retrieval
Dhyan Chandra Yadav, Ayaan Faiz, C. S. Nivedha, et al.
(2023), pp. 1-6
Closed Access
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