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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:

Estimating PM2.5 concentrations in Yangtze River Delta region of China using random forest model and the Top-of-Atmosphere reflectance
Lijuan Yang, Hanqiu Xu, Shaode Yu
Journal of Environmental Management (2020) Vol. 272, pp. 111061-111061
Closed Access | Times Cited: 52

Showing 1-25 of 52 citing articles:

Exploring the relationship between thermal environmental factors and land surface temperature of a “furnace city” based on local climate zones
Zhongli Lin, Hanqiu Xu, Xiong Yao, et al.
Building and Environment (2023) Vol. 243, pp. 110732-110732
Closed Access | Times Cited: 44
Enhancing the durability of concrete in severely cold regions: Mix proportion optimization based on machine learning
Hongyu Chen, Yuan Cao, Yang Liu, et al.
Construction and Building Materials (2023) Vol. 371, pp. 130644-130644
Closed Access | Times Cited: 42
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
Estimation of Atmospheric PM10 Concentration in China Using an Interpretable Deep Learning Model and Top‐of‐the‐Atmosphere Reflectance Data From China’s New Generation Geostationary Meteorological Satellite, FY‐4A
Bin Chen, Zhihao Song, Jianping Huang, et al.
Journal of Geophysical Research Atmospheres (2022) Vol. 127, Iss. 9
Open Access | Times Cited: 29
Forecasting hourly PM2.5 based on deep temporal convolutional neural network and decomposition method
Fuxin Jiang, Chengyuan Zhang, Shaolong Sun, et al.
Applied Soft Computing (2021) Vol. 113, pp. 107988-107988
Closed Access | Times Cited: 39
Ultrahigh-resolution PM2.5 estimation from top-of-atmosphere reflectance with machine learning: Theories, methods, and applications
Qianqian Yang, Qiangqiang Yuan, Tongwen Li
Environmental Pollution (2022) Vol. 306, pp. 119347-119347
Closed Access | Times Cited: 25
Developing PM2.5 and PM10 prediction models on a national and regional scale using open-source remote sensing data
Luka Mamić, Mateo Gašparović, Gordana Kaplan
Environmental Monitoring and Assessment (2023) Vol. 195, Iss. 6
Open Access | Times Cited: 15
Estimating high-spatial-resolution daily PM2.5 mass concentration from satellite top-of-atmosphere reflectance based on an improved random forest model
Yuming Tang, Ruru Deng, Yeheng Liang, et al.
Atmospheric Environment (2023) Vol. 302, pp. 119724-119724
Closed Access | Times Cited: 14
Characterizing the seasonal relationships between urban heat island and surface energy balance fluxes considering the impact of three-dimensional urban morphology
Zhongli Lin, Hanqiu Xu, Xisheng Hu, et al.
Building and Environment (2024) Vol. 265, pp. 112017-112017
Closed Access | Times Cited: 4
Inversion algorithm of black carbon mixing state based on machine learning
Zeyuan Tian, Jiandong Wang, Jinting Wang, et al.
Atmospheric measurement techniques (2025) Vol. 18, Iss. 5, pp. 1149-1162
Open Access
PM2.5 concentration prediction using machine learning algorithms: an approach to virtual monitoring stations
Ahmad Makhdoomi, Maryam Sarkhosh, Somayyeh Ziaei
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Retrieving PM2.5 with high spatio-temporal coverage by TOA reflectance of Himawari-8
Jianhua Yin, Feiyue Mao, Lin Zang, et al.
Atmospheric Pollution Research (2021) Vol. 12, Iss. 4, pp. 14-20
Open Access | Times Cited: 31
High temporal and spatial resolution PM2.5 dataset acquisition and pollution assessment based on FY-4A TOAR data and deep forest model in China
Zhihao Song, Bin Chen, Peng Zhang, et al.
Atmospheric Research (2022) Vol. 274, pp. 106199-106199
Open Access | Times Cited: 19
Estimation of particulate matter concentrations in Türkiye using a random forest model based on satellite AOD retrievals
Gizem Tuna Tuygun, Tolga Elbir
Stochastic Environmental Research and Risk Assessment (2023) Vol. 37, Iss. 9, pp. 3469-3491
Closed Access | Times Cited: 11
Estimating PM2.5 Concentrations Using Spatially Local Xgboost Based on Full-Covered SARA AOD at the Urban Scale
Zhiyu Fan, Qingming Zhan, Chen Yang, et al.
Remote Sensing (2020) Vol. 12, Iss. 20, pp. 3368-3368
Open Access | Times Cited: 28
An integrated approach of Belief Rule Base and Convolutional Neural Network to monitor air quality in Shanghai
Sami Kabir, Raihan Ul Islam, Mohammad Shahadat Hossain, et al.
Expert Systems with Applications (2022) Vol. 206, pp. 117905-117905
Open Access | Times Cited: 18
Analysis of Atmospheric Pollutants and Meteorological Factors on PM2.5 Concentration and Temporal Variations in Harbin
Xiuyan Gao, Zhaohui Ruan, Jiemei Liu, et al.
Atmosphere (2022) Vol. 13, Iss. 9, pp. 1426-1426
Open Access | Times Cited: 16
A study on identifying synergistic prevention and control regions for PM2.5 and O3 and exploring their spatiotemporal dynamic in China
Haojie Wu, Bin Guo, Tengyue Guo, et al.
Environmental Pollution (2023) Vol. 341, pp. 122880-122880
Closed Access | Times Cited: 10
Coupling the linear mixed effects model with random forest improves hourly PM2.5 estimation from Himawari-8 AOD over the Yangtze River Delta
Yunhui Tan, Quan Wang, Zhaoyang Zhang
Atmospheric Pollution Research (2023) Vol. 14, Iss. 5, pp. 101739-101739
Closed Access | Times Cited: 9
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
Season, not lockdown, improved air quality during COVID-19 State of Emergency in Nigeria
Tunde Ogbemi Etchie, Ayotunde Titilayo Etchie, Aliyu Jauro, et al.
The Science of The Total Environment (2021) Vol. 768, pp. 145187-145187
Open Access | Times Cited: 20
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: 23
Ambient PM2.5 Estimates and Variations during COVID-19 Pandemic in the Yangtze River Delta Using Machine Learning and Big Data
Debin Lu, Wanliu Mao, Lilin Zheng, et al.
Remote Sensing (2021) Vol. 13, Iss. 8, pp. 1423-1423
Open Access | Times Cited: 18
Effects of urban form on air quality: A case study from China comparing years with normal and reduced human activity due to the COVID-19 pandemic
Di Wang, Tao Zhou, Jianing Sun
Cities (2022) Vol. 131, pp. 104040-104040
Open Access | Times Cited: 13
A novel approach for predicting the concentration of exhaled aerosols exposure among healthcare workers in the operating room
Zhijian Liu, Zhenzhe Huang, Jiaqi Chu, et al.
Building and Environment (2023) Vol. 245, pp. 110867-110867
Closed Access | Times Cited: 7
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