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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:

Particulate matter (PM2.5 and PM10) generation map using MODIS Level-1 satellite images and deep neural network
Maryam Imani
Journal of Environmental Management (2020) Vol. 281, pp. 111888-111888
Closed Access | Times Cited: 24

Showing 24 citing articles:

A systematic literature review of deep learning neural network for time series air quality forecasting
Nur’atiah Zaini, Lee Woen Ean, Ali Najah Ahmed, et al.
Environmental Science and Pollution Research (2021) Vol. 29, Iss. 4, pp. 4958-4990
Closed Access | Times Cited: 79
Human health risk assessment of PM2.5-bound heavy metal of anthropogenic sources in the Khon Kaen Province of Northeast Thailand
Pornpun Sakunkoo, Theerachai Thonglua, Sarawut Sangkham, et al.
Heliyon (2022) Vol. 8, Iss. 6, pp. e09572-e09572
Open Access | Times Cited: 59
A machine learning-based framework for high resolution mapping of PM2.5 in Tehran, Iran, using MAIAC AOD data
Hossein Bagheri
Advances in Space Research (2022) Vol. 69, Iss. 9, pp. 3333-3349
Open Access | Times Cited: 34
PM2.5 and O3 concentration estimation based on interpretable machine learning
Siyuan Wang, Ying Ren, Bisheng Xia
Atmospheric Pollution Research (2023) Vol. 14, Iss. 9, pp. 101866-101866
Open Access | Times Cited: 21
Improving the quantification of fine particulates (PM2.5) concentrations in Malaysia using simplified and computationally efficient models
Nurul Amalin Fatihah Kamarul Zaman, Kasturi Devi Kanniah, Dimitris G. Kaskaoutis, et al.
Journal of Cleaner Production (2024) Vol. 448, pp. 141559-141559
Closed Access | Times Cited: 6
Evaluation of Machine Learning Models for Estimating PM2.5 Concentrations across Malaysia
Nurul Amalin Fatihah Kamarul Zaman, Kasturi Devi Kanniah, Dimitris G. Kaskaoutis, et al.
Applied Sciences (2021) Vol. 11, Iss. 16, pp. 7326-7326
Open Access | Times Cited: 36
Spatiotemporal estimation of the PM2.5 concentration and human health risks combining the three-dimensional landscape pattern index and machine learning methods to optimize land use regression modeling in Shaanxi, China
Ping Zhang, Lianwei Yang, Wen‐Jie Ma, et al.
Environmental Research (2022) Vol. 208, pp. 112759-112759
Open Access | Times Cited: 24
Intrinsic and extrinsic techniques for quantification uncertainty of an interpretable GRU deep learning model used to predict atmospheric total suspended particulates (TSP) in Zabol, Iran during the dusty period of 120-days wind
Hamid Gholami, Aliakbar Mohammadifar, Reza Dahmardeh Behrooz, et al.
Environmental Pollution (2023) Vol. 342, pp. 123082-123082
Closed Access | Times Cited: 13
An Overview of Tools and Challenges for Safety Evaluation and Exposure Assessment in Industry 4.0
Spyridon Damilos, Stratos Saliakas, Dimitris Karasavvas, et al.
Applied Sciences (2024) Vol. 14, Iss. 10, pp. 4207-4207
Open Access | Times Cited: 5
Spatiotemporal Dynamics of PM2.5-Related Premature Deaths and the Role of Greening Improvement in Sustainable Urban Health Governance
Peng Tang, Tianshu Liu, Xiandi Zheng, et al.
Atmosphere (2025) Vol. 16, Iss. 2, pp. 232-232
Open Access
Predictive machine learning and geospatial modeling reveal PM10 hotspots and guide targeted air pollution interventions in Addis Ababa, Ethiopia
Kalid Hassen Yasin, Muhammad Yasin, Anteneh Derribew Iguala, et al.
Deleted Journal (2025) Vol. 7, Iss. 4
Open Access
Remote sensing estimation of surface PM2.5 concentrations using a deep learning model improved by data augmentation and a particle size constraint
Shun‐Chao Yin, Tongwen Li, Xiao Cheng, et al.
Atmospheric Environment (2022) Vol. 287, pp. 119282-119282
Closed Access | Times Cited: 20
Green space coverage versus air pollution: a cloud-based remote sensing data analysis in Sichuan, Western China
Amin Naboureh, Ainong Li, Jinhu Bian, et al.
International Journal of Digital Earth (2024) Vol. 17, Iss. 1
Open Access | Times Cited: 4
Analysis of cultivated land degradation in southern China: diagnostics, drivers, and restoration solutions
Yanqing Liao, Zhihong Yu, Lihua Kuang, et al.
Frontiers in Plant Science (2025) Vol. 16
Open Access
An interpretable deep forest model for estimating hourly PM10 concentration in China using Himawari-8 data
Bin Chen, Zhihao Song, Baolong Shi, et al.
Atmospheric Environment (2021) Vol. 268, pp. 118827-118827
Open Access | Times Cited: 19
Global temperature reconstruction of equipment based on the local temperature image using TRe-GAN
Jincheng Chen, Feiding Zhu, Yuge Han, et al.
Applied Soft Computing (2022) Vol. 128, pp. 109498-109498
Closed Access | Times Cited: 13
Risk Estimation of Heavy Metals Associated with PM2.5 in the Urban Area of Cuernavaca, México
Alhelí Brito-Hernández, Hugo Saldarriaga-Noreña, Mauricio Rosales-Rivera, et al.
Atmosphere (2024) Vol. 15, Iss. 4, pp. 409-409
Open Access | Times Cited: 2
High-Resolution PM10 Estimation Using Satellite Data and Model-Agnostic Meta-Learning
Yue Yang, Jan Čermák, Xu Chen, et al.
Remote Sensing (2024) Vol. 16, Iss. 13, pp. 2498-2498
Open Access | Times Cited: 1
Seasonal outdoor PM10 changes based on the spatial local climate zone distribution
Mahsa Mostaghim, Ayman Imam, Ahmad Fallatah, et al.
Urban Climate (2024) Vol. 58, pp. 102148-102148
Closed Access | Times Cited: 1
Deep learning in airborne particulate matter sensing: a review
James A. Grant‐Jacob, B. Mills
Journal of Physics Communications (2022) Vol. 6, Iss. 12, pp. 122001-122001
Open Access | Times Cited: 6
Estimation of PM2.5 Concentration Using Deep Bayesian Model Considering Spatial Multiscale
Xingdi Chen, Kong Peng, Peng Jiang, et al.
Remote Sensing (2021) Vol. 13, Iss. 22, pp. 4545-4545
Open Access | Times Cited: 7
Prediction of hourly PM10 concentration through a hybrid deep learning-based method
Sahar Nasabpour Molaei, Ali Salajegheh, Hassan Khosravi, et al.
Earth Science Informatics (2023) Vol. 17, Iss. 1, pp. 37-49
Closed Access | Times Cited: 2
Deep Learning Techniques for Air Quality Prediction: A Focus on PM2.5 and Periodicity
Lakshmi Shankar, A. Krishnamoorthy
MIGRATION LETTERS (2023) Vol. 20, Iss. S13, pp. 468-484
Open Access | Times Cited: 2
Prediction of hourly PM10 concentration through a hybrid deep learning-based method
Sahar Nasabpour Molaei, Ali Salajegheh, Hassan Khosravi, et al.
Research Square (Research Square) (2023)
Open Access
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