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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:

The relationships between PM2.5 and aerosol optical depth (AOD) in mainland China: About and behind the spatio-temporal variations
Qianqian Yang, Qiangqiang Yuan, Linwei Yue, et al.
Environmental Pollution (2019) Vol. 248, pp. 526-535
Open Access | Times Cited: 168

Showing 1-25 of 168 citing articles:

Spatio-Temporal Variations of the PM2.5/PM10 Ratios and Its Application to Air Pollution Type Classification in China
Hao Fan, Chuanfeng Zhao, Yikun Yang, et al.
Frontiers in Environmental Science (2021) Vol. 9
Open Access | Times Cited: 121
Estimating PM2.5 concentrations in Northeastern China with full spatiotemporal coverage, 2005–2016
Xia Meng, Cong Liu, Lina Zhang, et al.
Remote Sensing of Environment (2020) Vol. 253, pp. 112203-112203
Open Access | Times Cited: 120
Estimating PM2.5 concentration of the conterminous United States via interpretable convolutional neural networks
Yongbee Park, Byungjoon Kwon, Juyeon Heo, et al.
Environmental Pollution (2019) Vol. 256, pp. 113395-113395
Closed Access | Times Cited: 117
Surface and satellite observations of air pollution in India during COVID-19 lockdown: Implication to air quality
Yogesh Sathe, Pawan Gupta, Moqtik Bawase, et al.
Sustainable Cities and Society (2020) Vol. 66, pp. 102688-102688
Open Access | Times Cited: 92
Geographically and temporally weighted neural networks for satellite-based mapping of ground-level PM2.5
Tongwen Li, Huanfeng Shen, Qiangqiang Yuan, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2020) Vol. 167, pp. 178-188
Open Access | Times Cited: 87
Geographically and temporally neural network weighted regression for modeling spatiotemporal non-stationary relationships
Sensen Wu, Zhongyi Wang, Zhenhong Du, et al.
International Journal of Geographical Information Science (2020) Vol. 35, Iss. 3, pp. 582-608
Closed Access | Times Cited: 70
Geographical and temporal encoding for improving the estimation of PM2.5 concentrations in China using end-to-end gradient boosting
Naisen Yang, Haoze Shi, Hong Tang, et al.
Remote Sensing of Environment (2021) Vol. 269, pp. 112828-112828
Open Access | Times Cited: 62
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
Explore Regional PM2.5 Features and Compositions Causing Health Effects in Taiwan
Yi-Shin Wang, Li‐Chiu Chang, Fi‐John Chang
Environmental Management (2020) Vol. 67, Iss. 1, pp. 176-191
Closed Access | Times Cited: 55
Large-scale MODIS AOD products recovery: Spatial-temporal hybrid fusion considering aerosol variation mitigation
Yuan Wang, Qiangqiang Yuan, Tongwen Li, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2019) Vol. 157, pp. 1-12
Closed Access | Times Cited: 54
Investigation of the spatially varying relationships of PM2.5 with meteorology, topography, and emissions over China in 2015 by using modified geographically weighted regression
Qianqian Yang, Qiangqiang Yuan, Linwei Yue, et al.
Environmental Pollution (2020) Vol. 262, pp. 114257-114257
Open Access | Times Cited: 53
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
The Status of Air Quality in the United States During the COVID-19 Pandemic: A Remote Sensing Perspective
Yasin Elshorbany, Hannah C. Kapper, J. R. Ziemke, et al.
Remote Sensing (2021) Vol. 13, Iss. 3, pp. 369-369
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
A CatBoost approach with wavelet decomposition to improve satellite-derived high-resolution PM2.5 estimates in Beijing-Tianjin-Hebei
Yu Ding, Zuoqi Chen, Wenfang Lu, et al.
Atmospheric Environment (2021) Vol. 249, pp. 118212-118212
Closed Access | Times Cited: 46
Superior PM2.5 Estimation by Integrating Aerosol Fine Mode Data from the Himawari-8 Satellite in Deep and Classical Machine Learning Models
Zhou Zang, Dan Li, Yushan Guo, et al.
Remote Sensing (2021) Vol. 13, Iss. 14, pp. 2779-2779
Open Access | Times Cited: 43
Full-coverage spatiotemporal mapping of ambient PM2.5 and PM10 over China from Sentinel-5P and assimilated datasets: Considering the precursors and chemical compositions
Yuan Wang, Qiangqiang Yuan, Tongwen Li, et al.
The Science of The Total Environment (2021) Vol. 793, pp. 148535-148535
Open Access | Times Cited: 41
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
Remote Sensing Application in Ecological Restoration Monitoring: A Systematic Review
Ruozeng Wang, Yonghua Sun, Jinkun Zong, et al.
Remote Sensing (2024) Vol. 16, Iss. 12, pp. 2204-2204
Open Access | Times Cited: 7
Quantifying CO2 emissions of power plants with Aerosols and Carbon Dioxide Lidar onboard DQ-1
Ge Han, Yiyang Huang, Tianqi Shi, et al.
Remote Sensing of Environment (2024) Vol. 313, pp. 114368-114368
Closed Access | Times Cited: 7
A Robust Deep Learning Approach for Spatiotemporal Estimation of Satellite AOD and PM2.5
Lianfa Li
Remote Sensing (2020) Vol. 12, Iss. 2, pp. 264-264
Open Access | Times Cited: 49
Global and Geographically and Temporally Weighted Regression Models for Modeling PM2.5 in Heilongjiang, China from 2015 to 2018
Qingbin Wei, Lianjun Zhang, Duan Wenbiao, et al.
International Journal of Environmental Research and Public Health (2019) Vol. 16, Iss. 24, pp. 5107-5107
Open Access | Times Cited: 45
Characterization of the aerosol chemical composition during the COVID-19 lockdown period in Suzhou in the Yangtze River Delta, China
Honglei Wang, Qing Miao, Lijuan Shen, et al.
Journal of Environmental Sciences (2020) Vol. 102, pp. 110-122
Open Access | Times Cited: 44
Spatiotemporal relationship between Himawari-8 hourly columnar aerosol optical depth (AOD) and ground-level PM2.5 mass concentration in mainland China
Qiangqiang Xu, Xiaoling Chen, Shangbo Yang, et al.
The Science of The Total Environment (2020) Vol. 765, pp. 144241-144241
Closed Access | Times Cited: 42
A Review on Estimation of Particulate Matter from Satellite-Based Aerosol Optical Depth: Data, Methods, and Challenges
Avinash Kumar Ranjan, Aditya Kumar Patra, Amit Kumar Gorai
Asia-Pacific Journal of Atmospheric Sciences (2020) Vol. 57, Iss. 3, pp. 679-699
Closed Access | Times Cited: 39
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