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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:

Himawari-8-derived diurnal variations in ground-level PM<sub>2.5</sub> pollution across China using the fast space-time Light Gradient Boosting Machine (LightGBM)
Jing Wei, Zhanqing Li, R. T. Pinker, et al.
Atmospheric chemistry and physics (2021) Vol. 21, Iss. 10, pp. 7863-7880
Open Access | Times Cited: 154

Showing 1-25 of 154 citing articles:

Full-coverage mapping and spatiotemporal variations of ground-level ozone (O3) pollution from 2013 to 2020 across China
Jing Wei, Zhanqing Li, Ke Li, et al.
Remote Sensing of Environment (2021) Vol. 270, pp. 112775-112775
Open Access | Times Cited: 375
First close insight into global daily gapless 1 km PM2.5 pollution, variability, and health impact
Jing Wei, Zhanqing Li, Alexei Lyapustin, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 51
Simulating daily PM2.5 concentrations using wavelet analysis and artificial neural network with remote sensing and surface observation data
Qingchun Guo, Zhenfang He, Zhaosheng Wang
Chemosphere (2023) Vol. 340, pp. 139886-139886
Closed Access | Times Cited: 42
MODIS high-resolution MAIAC aerosol product: Global validation and analysis
Wenmin Qin, Hejin Fang, Lunche Wang, et al.
Atmospheric Environment (2021) Vol. 264, pp. 118684-118684
Open Access | Times Cited: 93
Improved retrievals of aerosol optical depth and fine mode fraction from GOCI geostationary satellite data using machine learning over East Asia
Yoojin Kang, Miae Kim, Eunjin Kang, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2021) Vol. 183, pp. 253-268
Open Access | Times Cited: 66
Prediction of organic contaminant rejection by nanofiltration and reverse osmosis membranes using interpretable machine learning models
Tengyi Zhu, Yu Zhang, Cuicui Tao, et al.
The Science of The Total Environment (2022) Vol. 857, pp. 159348-159348
Closed Access | Times Cited: 47
Spatiotemporal PM2.5 estimations in China from 2015 to 2020 using an improved gradient boosting decision tree
Weihuan He, Huan Meng, Jie Han, et al.
Chemosphere (2022) Vol. 296, pp. 134003-134003
Closed Access | Times Cited: 44
Reconstructing 6-hourly PM2.5 datasets from 1960 to 2020 in China
Junting Zhong, Xiaoye Zhang, Ke Gui, et al.
Earth system science data (2022) Vol. 14, Iss. 7, pp. 3197-3211
Open Access | Times Cited: 38
SHAP-powered insights into spatiotemporal effects: Unlocking explainable Bayesian-neural-network urban flood forecasting
W. P. Chu, Chunxiao Zhang, Heng Li, et al.
International Journal of Applied Earth Observation and Geoinformation (2024) Vol. 131, pp. 103972-103972
Open Access | Times Cited: 11
Development of a Time Series E-Commerce Sales Prediction Method for Short-Shelf-Life Products Using GRU-LightGBM
Yong Chen, Xian Xie, Zhi Pei, et al.
Applied Sciences (2024) Vol. 14, Iss. 2, pp. 866-866
Open Access | Times Cited: 8
Obtaining vertical distribution of PM2.5 from CALIOP data and machine learning algorithms
Бин Чэн, Zhihao Song, Feng Pan, et al.
The Science of The Total Environment (2021) Vol. 805, pp. 150338-150338
Open Access | Times Cited: 50
Relating geostationary satellite measurements of aerosol optical depth (AOD) over East Asia to fine particulate matter (PM<sub>2.5</sub>): insights from the KORUS-AQ aircraft campaign and GEOS-Chem model simulations
Shixian Zhai, Daniel J. Jacob, Jared F. Brewer, et al.
Atmospheric chemistry and physics (2021) Vol. 21, Iss. 22, pp. 16775-16791
Open Access | Times Cited: 49
Estimating monthly PM2.5 concentrations from satellite remote sensing data, meteorological variables, and land use data using ensemble statistical modeling and a random forest approach
Chu‐Chih Chen, Yin-Ru Wang, Hung-Yi Yeh, et al.
Environmental Pollution (2021) Vol. 291, pp. 118159-118159
Closed Access | Times Cited: 48
Environmental regulation and synergistic effects of PM2.5 control in China
Xinyao Li, Wenhao Xue, Kai Wang, et al.
Journal of Cleaner Production (2022) Vol. 337, pp. 130438-130438
Closed Access | Times Cited: 35
The estimation of hourly PM2.5 concentrations across China based on a Spatial and Temporal Weighted Continuous Deep Neural Network (STWC-DNN)
Zhen Wang, Ruiyuan Li, Ziyue Chen, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2022) Vol. 190, pp. 38-55
Closed Access | Times Cited: 33
MERRA-2 PM2.5 mass concentration reconstruction in China mainland based on LightGBM machine learning
Jinghui Ma, Renhe Zhang, Jianming Xu, et al.
The Science of The Total Environment (2022) Vol. 827, pp. 154363-154363
Open Access | Times Cited: 29
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
Combining Himawari-8 AOD and deep forest model to obtain city-level distribution of PM2.5 in China
Zhihao Song, Bin Chen, Jianping Huang
Environmental Pollution (2022) Vol. 297, pp. 118826-118826
Closed Access | Times Cited: 28
River ecological flow early warning forecasting using baseflow separation and machine learning in the Jiaojiang River Basin, Southeast China
Hao Chen, Saihua Huang, Yue‐Ping Xu, et al.
The Science of The Total Environment (2023) Vol. 882, pp. 163571-163571
Closed Access | Times Cited: 21
Reconstructing annual XCO2 at a 1 km×1 km spatial resolution across China from 2012 to 2019 based on a spatial CatBoost method
Chao Wu, Yuechuang Ju, Shuo Yang, et al.
Environmental Research (2023) Vol. 236, pp. 116866-116866
Closed Access | Times Cited: 17
PM2.5 Estimation using Machine Learning Models and Satellite Data: A Literature Review
Mitra Unik, Imas Sukaesih Sitanggang, Lailan Syaufina, et al.
International Journal of Advanced Computer Science and Applications (2023) Vol. 14, Iss. 5
Open Access | Times Cited: 15
A Two-Stage Machine Learning Algorithm for Retrieving Multiple Aerosol Properties Over Land: Development and Validation
Mengdan Cao, Ming Zhang, Xin Su, et al.
IEEE Transactions on Geoscience and Remote Sensing (2023) Vol. 61, pp. 1-17
Closed Access | Times Cited: 15
Impact of Clean Air Policy on Criteria Air Pollutants and Health Risks Across China During 2013–2021
Rui Li, Yining Gao, Jianhua Xu, et al.
Journal of Geophysical Research Atmospheres (2023) Vol. 128, Iss. 14
Closed Access | Times Cited: 14
Modeling the Effects of Drivers on PM2.5 in the Yangtze River Delta with Geographically Weighted Random Forest
Zhangwen Su, Lin Lin, Zhenhui Xu, et al.
Remote Sensing (2023) Vol. 15, Iss. 15, pp. 3826-3826
Open Access | Times Cited: 14
Characteristics of secondary inorganic aerosols and contributions to PM2.5 pollution based on machine learning approach in Shandong Province
Tianshuai Li, Qingzhu Zhang, Xinfeng Wang, et al.
Environmental Pollution (2023) Vol. 337, pp. 122612-122612
Closed Access | Times Cited: 13
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