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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:

Land use regression model established using Light Gradient Boosting Machine incorporating the WRF/CMAQ model for highly accurate spatiotemporal PM2.5 estimation in the central region of Thailand
Tin Thongthammachart, Hikari Shimadera, Shin Araki, et al.
Atmospheric Environment (2023) Vol. 297, pp. 119595-119595
Closed Access | Times Cited: 22

Showing 22 citing articles:

Application of machine learning (individual vs stacking) models on MERRA-2 data to predict surface PM2.5 concentrations over India
Abisheg Dhandapani, Jawed Iqbal, R. Naresh Kumar
Chemosphere (2023) Vol. 340, pp. 139966-139966
Closed Access | Times Cited: 17
A novel machine learning-based artificial intelligence method for predicting the air pollution index PM2.5
Lingxiao Zhao, Zhiyang Li, Leilei Qu
Journal of Cleaner Production (2024) Vol. 468, pp. 143042-143042
Closed Access | Times Cited: 7
Determination of major drive of ozone formation and improvement of O3 prediction in typical North China Plain based on interpretable random forest model
L. Yao, Han Yan, Xin Qi, et al.
The Science of The Total Environment (2024) Vol. 934, pp. 173193-173193
Closed Access | Times Cited: 6
Spatiotemporal estimation of hourly PM2.5 using AOD derived from geostationary satellite Fengyun-4A and machine learning models for Greater Bangkok
Nishit Aman, Kasemsan Manomaiphiboon, Di Xian, et al.
Air Quality Atmosphere & Health (2024) Vol. 17, Iss. 7, pp. 1519-1534
Closed Access | Times Cited: 5
Using Random Forest to improve EMEP4PL model estimates of daily PM2.5 in Poland
Tetiana Vovk, Maciej Kryza, Małgorzata Werner
Atmospheric Environment (2024) Vol. 332, pp. 120615-120615
Open Access | Times Cited: 4
Development of land use regression model to estimate particulate matter (PM10) and nitrogen dioxide (NO2) concentrations in Peninsular Malaysia
Wan Nurul Farah Wan Azmi, Thulasyammal Ramiah Pillai, Mohd Talib Latif, et al.
Atmospheric Environment X (2024) Vol. 21, pp. 100244-100244
Open Access | Times Cited: 2
Prediction of road dust concentration in open-pit coal mines based on multivariate mixed model
Meng Wang, Zongwei Yang, Caiwang Tai, et al.
PLoS ONE (2023) Vol. 18, Iss. 4, pp. e0284815-e0284815
Open Access | Times Cited: 6
Data augmentation for bias correction in mapping PM2.5 based on satellite retrievals and ground observations
Tan Mi, Dié Tang, Jianbo Fu, et al.
Geoscience Frontiers (2023) Vol. 15, Iss. 1, pp. 101686-101686
Open Access | Times Cited: 6
Spatiotemporal analysis of PM2.5 estimated using machine learning over Greater Bangkok: Variability, trends, and persistence
Nishit Aman, Sirima Panyametheekul, Ittipol Pawarmart, et al.
Research Square (Research Square) (2024)
Open Access | Times Cited: 1
A Machine Learning Approach for High-Resolution Modeling and Apportionment of Black Carbon Concentrations in an Impacted Community
Sofia D. Hamilton, Robert A. Harley
ACS ES&T Air (2024) Vol. 1, Iss. 5, pp. 376-385
Closed Access | Times Cited: 1
Application of a PM2.5 dispersion model in the Bangkok central business district for air quality management
Thammaluck Ratanavalachai, W. Trivitayanurak
Frontiers in Environmental Science (2023) Vol. 11
Open Access | Times Cited: 4
Air Pollution Monitoring, and Modelling: An Overview
Faizan Tahir Bahadur, Shagoofta Rasool Shah, ‪Rama Rao Nidamanuri
Environmental Forensics (2023) Vol. 25, Iss. 5, pp. 309-336
Closed Access | Times Cited: 4
Development of Spatio-Temporal Land Use Regression Models for Fine Particulate Matter and Wood-Burning Tracers in Temuco, Chile
Maria Caceres, Carola Blázquez, Salvador Ayala, et al.
Environmental Science & Technology (2023) Vol. 57, Iss. 48, pp. 19473-19486
Closed Access | Times Cited: 3
Estimating visibility and understanding factors influencing its variations at Bangkok airport using machine learning and a game theory-based approach
Nishit Aman, Sirima Panyametheekul, Sumridh Sudhibrabha, et al.
Research Square (Research Square) (2024)
Open Access
Enhancing Shipboard Oil Pollution Prevention: Machine Learning Innovations in Oil Discharge Monitoring Equipment
PARK Youngsoo, Gokhan Camlıyurt, Efraín Porto Tapiquén, et al.
(2024)
Closed Access
Long-term spatiotemporal variation of benzo[a]pyrene in Japan: Significant decrease in ambient concentrations, human exposure, and health risk
Shin Araki, Hikari Shimadera, Satoru Chatani, et al.
Environmental Pollution (2024) Vol. 360, pp. 124650-124650
Closed Access
Estimating visibility and understanding factors influencing its variations at Bangkok airport using machine learning and a game theory–based approach
Nishit Aman, Sirima Panyametheekul, Sumridh Sudhibrabha, et al.
Environmental Science and Pollution Research (2024)
Open Access
Integrating Doppler LiDAR and machine learning into land-use regression model for assessing contribution of vertical atmospheric processes to urban PM2.5 pollution
Yue Li, Tao Huang, Harry F. Lee, et al.
The Science of The Total Environment (2024) Vol. 952, pp. 175632-175632
Closed Access
Analyzing and forecasting air pollution concentration in the capital and Southern Thailand using a lag-dependent Gaussian process model
Haris Khurram, Apiradee Lim
Environmental Monitoring and Assessment (2024) Vol. 196, Iss. 11
Closed Access
Air Quality Modeling and Forecasting
Erik Velasco, Armando Retama, Dimitris Stratoulias
SpringerBriefs in earth system sciences (2024), pp. 85-105
Closed Access
Improving Machine Learning Based PM2.5 Prediction by Segregating Biomass Emission Factor from Chemical Transport Model
Supitcha Sukprasert, Hikari Shimadera, Shin Araki, et al.
E3S Web of Conferences (2024) Vol. 530, pp. 01004-01004
Open Access
Enhancing shipboard oil pollution prevention: Machine learning innovations in oil discharge monitoring equipment
Gokhan Camlıyurt, Efraín Porto Tapiquén, Sangwon Park, et al.
Marine Pollution Bulletin (2024) Vol. 208, pp. 116946-116946
Closed Access
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