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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 daily ground-level PM2.5 in China with random-forest-based spatiotemporal kriging
Yanchuan Shao, Zongwei Ma, Jianghao Wang, et al.
The Science of The Total Environment (2020) Vol. 740, pp. 139761-139761
Closed Access | Times Cited: 64

Showing 1-25 of 64 citing articles:

Spatiotemporal forecasting in earth system science: Methods, uncertainties, predictability and future directions
Lei Xu, Nengcheng Chen, Zeqiang Chen, et al.
Earth-Science Reviews (2021) Vol. 222, pp. 103828-103828
Closed Access | Times Cited: 118
Application of wavelet-packet transform driven deep learning method in PM2.5 concentration prediction: A case study of Qingdao, China
Qinghe Zheng, Xinyu Tian, Zhiguo Yu, et al.
Sustainable Cities and Society (2023) Vol. 92, pp. 104486-104486
Open Access | Times Cited: 60
A comprehensive review of the development of land use regression approaches for modeling spatiotemporal variations of ambient air pollution: A perspective from 2011 to 2023
Xuying Ma, Bin Zou, Jun Deng, et al.
Environment International (2024) Vol. 183, pp. 108430-108430
Open Access | Times Cited: 48
Application of hybrid machine learning algorithm in multi-objective optimization of green building energy efficiency
Yi Zhu, Wen Xu, Wenhong Luo, et al.
Energy (2025), pp. 133581-133581
Closed Access | Times Cited: 6
Identifying the spatiotemporal patterns and natural and socioeconomic influencing factors of PM2.5 and O3 pollution in China
Dongsheng Zhan, Zi-Chen Wang, Hongyang Xiang, et al.
PLoS ONE (2025) Vol. 20, Iss. 2, pp. e0317691-e0317691
Open Access | Times Cited: 2
Changing climate alters the time people spend outdoors
Ye Wang, Yumeng Liu, Shuchang Liu, et al.
Sustainable Horizons (2025) Vol. 13, pp. 100133-100133
Open Access | Times Cited: 2
A review of statistical methods used for developing large-scale and long-term PM2.5 models from satellite data
Zongwei Ma, Sagnik Dey, Sundar Christopher, et al.
Remote Sensing of Environment (2021) Vol. 269, pp. 112827-112827
Open Access | Times Cited: 104
Satellite remote sensing of atmospheric particulate matter mass concentration: Advances, challenges, and perspectives
Ying Zhang, Zhengqiang Li, Kaixu Bai, et al.
Fundamental Research (2021) Vol. 1, Iss. 3, pp. 240-258
Open Access | Times Cited: 92
Intelligent optimization framework of near zero energy consumption building performance based on a hybrid machine learning algorithm
Xianguo Wu, Zongbao Feng, Hongyu Chen, et al.
Renewable and Sustainable Energy Reviews (2022) Vol. 167, pp. 112703-112703
Closed Access | Times Cited: 50
Spatiotemporal variations and connections of single and multiple meteorological factors on PM2.5 concentrations in Xi'an, China
Xiaoxia Zhang, Haidong Xu, Dong Liang
Atmospheric Environment (2022) Vol. 275, pp. 119015-119015
Closed Access | Times Cited: 40
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: 24
Spatiotemporal modelling of $$\hbox {PM}_{2.5}$$ concentrations in Lombardy (Italy): a comparative study
Philipp Otto, Alessandro Fusta Moro, Jacopo Rodeschini, et al.
Environmental and Ecological Statistics (2024) Vol. 31, Iss. 2, pp. 245-272
Open Access | Times Cited: 13
Improving PM2.5 prediction in New Delhi using a hybrid extreme learning machine coupled with snake optimization algorithm
Adil Masood, Mohammed Majeed Hameed, Aman Srivastava, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 20
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: 18
Downscaling MERRA-2 Reanalysis PM2.5 Series over the Arabian Gulf by Inverse Distance Weighting, Bicubic Spline Smoothing, and Spatio-Temporal Kriging
Youssef Saliba, Alina Bărbulescu
Toxics (2024) Vol. 12, Iss. 3, pp. 177-177
Open Access | Times Cited: 8
Imputing Satellite-Derived Aerosol Optical Depth Using a Multi-Resolution Spatial Model and Random Forest for PM2.5 Prediction
Behzad Kianian, Yang Liu, Howard H. Chang
Remote Sensing (2021) Vol. 13, Iss. 1, pp. 126-126
Open Access | Times Cited: 41
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: 37
Changes in hourly electricity consumption under COVID mandates: A glance to future hourly residential power consumption pattern with remote work in Arizona
Arthur Lin Ku, Yueming Qiu, Jiehong Lou, et al.
Applied Energy (2022) Vol. 310, pp. 118539-118539
Open Access | Times Cited: 25
Assessment of PM2.5 exposure risk towards SDG indicator 11.6.2 – A case study in Beijing
Junwu Dong, Yanhui Wang, Lili Wang, et al.
Sustainable Cities and Society (2022) Vol. 82, pp. 103864-103864
Closed Access | Times Cited: 24
Monthly average air pollution models using geographically weighted regression in Europe from 2000 to 2019
Youchen Shen, Kees de Hoogh, Oliver Schmitz, et al.
The Science of The Total Environment (2024) Vol. 918, pp. 170550-170550
Open Access | Times Cited: 5
Factors controlling the spatial variability of soil aggregates and associated organic carbon across a semi-humid watershed
Pingping Zhang, Yunqiang Wang, Lan Xu, et al.
The Science of The Total Environment (2021) Vol. 809, pp. 151155-151155
Closed Access | Times Cited: 30
Full-coverage estimation of PM2.5 in the Beijing-Tianjin-Hebei region by using a two-stage model
Qiaolin Zeng, Yeming Li, Jinhua Tao, et al.
Atmospheric Environment (2023) Vol. 309, pp. 119956-119956
Closed Access | Times Cited: 12
Associations between short-term ambient ozone exposure and cause-specific mortality in rural and urban areas of Jiangsu, China
Cheng‐Yi Lin, Yiqun Ma, Riyang Liu, et al.
Environmental Research (2022) Vol. 211, pp. 113098-113098
Closed Access | Times Cited: 19
Spatial interpolation of PM2.5 concentrations during holidays in south-central China considering multiple factors
Pengzhi Wei, Shaofeng Xie, Liangke Huang, et al.
Atmospheric Pollution Research (2022) Vol. 13, Iss. 7, pp. 101480-101480
Closed Access | Times Cited: 19
Characterization of spatial-temporal distribution and microenvironment source contribution of PM2.5 concentrations using a low-cost sensor network with artificial neural network/kriging techniques
Yi-Ming Lee, Guan-Yu Lin, Thi-Cuc Le, et al.
Environmental Research (2023) Vol. 244, pp. 117906-117906
Closed Access | Times Cited: 10
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