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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 via random forest method using satellite, auxiliary, and ground-level station dataset at multiple temporal scales across China in 2017
Bin Guo, Dingming Zhang, Lin Pei, et al.
The Science of The Total Environment (2021) Vol. 778, pp. 146288-146288
Closed Access | Times Cited: 93

Showing 1-25 of 93 citing articles:

Rapid urbanization and climate change significantly contribute to worsening urban human thermal comfort: A national 183-city, 26-year study in China
Zhibin Ren, Yao Fu, Yulin Dong, et al.
Urban Climate (2022) Vol. 43, pp. 101154-101154
Closed Access | Times Cited: 117
Retrieving soil heavy metals concentrations based on GaoFen-5 hyperspectral satellite image at an opencast coal mine, Inner Mongolia, China
Bo Zhang, Bin Guo, Bin Zou, et al.
Environmental Pollution (2022) Vol. 300, pp. 118981-118981
Closed Access | Times Cited: 68
Study on the spatiotemporal dynamic of ground-level ozone concentrations on multiple scales across China during the blue sky protection campaign
Bin Guo, Haojie Wu, Lin Pei, et al.
Environment International (2022) Vol. 170, pp. 107606-107606
Open Access | Times Cited: 49
Estimation of PM2.5 Concentration across China Based on Multi-Source Remote Sensing Data and Machine Learning Methods
Yujie Yang, Zhige Wang, Chunxiang Cao, et al.
Remote Sensing (2024) Vol. 16, Iss. 3, pp. 467-467
Open Access | Times Cited: 11
Optimizing actual evapotranspiration simulation to identify evapotranspiration partitioning variations: A fusion of physical processes and machine learning techniques
Xiaoman Jiang, Yuntao Wang, A Yinglan, et al.
Agricultural Water Management (2024) Vol. 295, pp. 108755-108755
Open Access | Times Cited: 8
A continuous 2011-2022 record of fine particulate matter (PM2.5) in East Asia at daily 2-km resolution from geostationary satellite observations: population exposure and long-term trends
Drew C. Pendergrass, Daniel Jacob, Yujin J. Oak, et al.
Atmospheric Environment (2025), pp. 121068-121068
Open Access | Times Cited: 1
72-hour real-time forecasting of ambient PM2.5 by hybrid graph deep neural network with aggregated neighborhood spatiotemporal information
Mengfan Teng, Siwei Li, Jia Xing, et al.
Environment International (2023) Vol. 176, pp. 107971-107971
Open Access | Times Cited: 22
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: 19
Reconstructing MODIS aerosol optical depth and exploring dynamic and influential factors of AOD via random forest at the global scale
Bin Guo, Zheng Wang, Lin Pei, et al.
Atmospheric Environment (2023) Vol. 315, pp. 120159-120159
Closed Access | Times Cited: 17
A full-coverage estimation of PM2.5 concentrations using a hybrid XGBoost-WD model and WRF-simulated meteorological fields in the Yangtze River Delta Urban Agglomeration, China
Jiajia Wang, Li He, Xiaoman Lu, et al.
Environmental Research (2021) Vol. 203, pp. 111799-111799
Closed Access | Times Cited: 36
Geographically convolutional neural network weighted regression: a method for modeling spatially non-stationary relationships based on a global spatial proximity grid
Zhen Dai, Sensen Wu, Yuanyuan Wang, et al.
International Journal of Geographical Information Science (2022) Vol. 36, Iss. 11, pp. 2248-2269
Closed Access | Times Cited: 26
Continuous mapping of fine particulate matter (PM<sub>2.5</sub>) air quality in East Asia at daily 6 × 6 km<sup>2</sup> resolution by application of a random forest algorithm to 2011–2019 GOCI geostationary satellite data
Drew C. Pendergrass, Shixian Zhai, Jhoon Kim, et al.
Atmospheric measurement techniques (2022) Vol. 15, Iss. 4, pp. 1075-1091
Open Access | Times Cited: 24
Research progress, challenges, and prospects of PM2.5 concentration estimation using satellite data
S. Y. Zhu, Jiayi Tang, Xiaolu Zhou, et al.
Environmental Reviews (2023) Vol. 31, Iss. 4, pp. 605-631
Open Access | Times Cited: 14
Spatiotemporal analysis of the impact of urban landscape forms on PM 2.5 in China from 2001 to 2020
S. Y. Zhu, Jiayi Tang, Xiaolu Zhou, et al.
International Journal of Digital Earth (2023) Vol. 16, Iss. 1, pp. 3417-3434
Open Access | Times Cited: 13
Interpolation-Based Fusion of Sentinel-5P, SRTM, and Regulatory-Grade Ground Stations Data for Producing Spatially Continuous Maps of PM2.5 Concentrations Nationwide over Thailand
Shinhye Han, Worasom Kundhikanjana, Peeranan Towashiraporn, et al.
Atmosphere (2022) Vol. 13, Iss. 2, pp. 161-161
Open Access | Times Cited: 20
A similarity distance-based space-time random forest model for estimating PM2.5 concentrations over China
Shikang Guan, Xiaotong Zhang, Wenbo Zhao, et al.
Atmospheric Environment (2023) Vol. 313, pp. 120043-120043
Closed Access | Times Cited: 11
Reply on AC1
O Sungmin
(2025)
Closed Access
Exploring the effect of the architecture morphology on urban ventilation at block scale using CFD-GIS and random forest combined method
Bin Guo, Miaoyi Chen, Xiaowei Zhu, et al.
Sustainable Cities and Society (2025), pp. 106241-106241
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
Hybrid Population Based Training–ResNet Framework for Traffic-Related PM2.5 Concentration Classification
Afaq Khattak, Badr T. Alsulami, Caroline Mongina Matara
Atmosphere (2025) Vol. 16, Iss. 3, pp. 303-303
Open Access
Estimating hourly ground-level aerosols using Geostationary Environment Monitoring Spectrometer aerosol optical depth: a machine learning approach
O Sungmin, Ji Won Yoon, Seon Ki Park
Atmospheric measurement techniques (2025) Vol. 18, Iss. 6, pp. 1471-1484
Open Access
Quantifying SOA and O3 formation drivers in North China: Comprehensive method combining random forest, positive matrix factorization, and observation-based model
Qi Huang, Tianshuai Li, Tao Zhang, et al.
Journal of Environmental Sciences (2025)
Closed Access
Mapping carbon emissions and exploring its spatiotemporal dynamic based on local climate zones and landscape ecology theory across Beijing-Tianjin-Hebei
Tingting Xie, Bin Guo, Dingming Zhang, et al.
Sustainable Cities and Society (2025), pp. 106393-106393
Closed Access
Retrieving zinc concentrations in topsoil with reflectance spectroscopy at Opencast Coal Mine sites
Bin Guo, Bo Zhang, Yi Su, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 25
Estimation of PM<sub>2.5</sub> concentration in China using linear hybrid machine learning model
Zhihao Song, Бин Чэн, Yue Huang, et al.
Atmospheric measurement techniques (2021) Vol. 14, Iss. 8, pp. 5333-5347
Open Access | Times Cited: 24
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