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:
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
Bin Guo, Zheng Wang, Lin Pei, et al.
Atmospheric Environment (2023) Vol. 315, pp. 120159-120159
Closed Access | Times Cited: 17
Showing 17 citing articles:
LGHAP v2: a global gap-free aerosol optical depth and PM2.5 concentration dataset since 2000 derived via big Earth data analytics
Kaixu Bai, Ke Li, Liuqing Shao, et al.
Earth system science data (2024) Vol. 16, Iss. 5, pp. 2425-2448
Open Access | Times Cited: 7
Kaixu Bai, Ke Li, Liuqing Shao, et al.
Earth system science data (2024) Vol. 16, Iss. 5, pp. 2425-2448
Open Access | Times Cited: 7
Future Land Use and Flood Risk Assessment in the Guanzhong Plain, China: Scenario Analysis and the Impact of Climate Change
Pingping Luo, Xiaohui Wang, Lei Zhang, et al.
Remote Sensing (2023) Vol. 15, Iss. 24, pp. 5778-5778
Open Access | Times Cited: 13
Pingping Luo, Xiaohui Wang, Lei Zhang, et al.
Remote Sensing (2023) Vol. 15, Iss. 24, pp. 5778-5778
Open Access | Times Cited: 13
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
Bin Guo, Miaoyi Chen, Xiaowei Zhu, et al.
Sustainable Cities and Society (2025), pp. 106241-106241
Closed Access
Estimation of pan-European, daily total, fine-mode and coarse-mode Aerosol Optical Depth at 0.1° resolution to facilitate air quality assessments
Zhaoyue Chen, Raúl Fernando Méndez Turrubiates, Hervé Petetin, et al.
The Science of The Total Environment (2024) Vol. 918, pp. 170593-170593
Open Access | Times Cited: 2
Zhaoyue Chen, Raúl Fernando Méndez Turrubiates, Hervé Petetin, et al.
The Science of The Total Environment (2024) Vol. 918, pp. 170593-170593
Open Access | Times Cited: 2
An improved meteorological variables-based aerosol optical depth estimation method by combining a physical mechanism model with a two-stage model
Fuxing Li, Shi Xiao-li, Shiyao Wang, et al.
Chemosphere (2024) Vol. 363, pp. 142820-142820
Closed Access | Times Cited: 1
Fuxing Li, Shi Xiao-li, Shiyao Wang, et al.
Chemosphere (2024) Vol. 363, pp. 142820-142820
Closed Access | Times Cited: 1
Exploring the association of PM2.5 with lung cancer incidence under different climate zones and socioeconomic conditions from 2006 to 2016 in China
Bin Guo, Qian Gao, Lin Pei, et al.
Environmental Science and Pollution Research (2023) Vol. 30, Iss. 60, pp. 126165-126177
Closed Access | Times Cited: 3
Bin Guo, Qian Gao, Lin Pei, et al.
Environmental Science and Pollution Research (2023) Vol. 30, Iss. 60, pp. 126165-126177
Closed Access | Times Cited: 3
LGHAP v2: A global gap-free aerosol optical depth and PM2.5 concentration dataset since 2000 derived via big earth data analytics
Kaixu Bai, Ke Li, Liuqing Shao, et al.
(2024)
Open Access
Kaixu Bai, Ke Li, Liuqing Shao, et al.
(2024)
Open Access
An improved approach to determine aerosol properties from all-sky camera imagery: Sensitivity to the partially cloud scenes
Francesco Scarlatti, José Luís Gómez-Amo, Pedro C. Valdelomar, et al.
Atmospheric Environment (2024) Vol. 327, pp. 120495-120495
Open Access
Francesco Scarlatti, José Luís Gómez-Amo, Pedro C. Valdelomar, et al.
Atmospheric Environment (2024) Vol. 327, pp. 120495-120495
Open Access
Addressing Observational Gaps in Aerosol Parameters using Machine Learning: Implications to Aerosol Radiative Forcing
Mittal Parmar, Aditya Vaishya, Narendra Ojha, et al.
Atmospheric Environment (2024) Vol. 333, pp. 120661-120661
Closed Access
Mittal Parmar, Aditya Vaishya, Narendra Ojha, et al.
Atmospheric Environment (2024) Vol. 333, pp. 120661-120661
Closed Access
Spatiotemporal Variations and Driving Factor Analysis of Aerosol Optical Depth in Terrestrial Ecosystems in Northern Xinjiang from 2001 to 2023
Zequn Xiang, Hongqi Wu, Yanmin Fan, et al.
Atmosphere (2024) Vol. 15, Iss. 11, pp. 1302-1302
Open Access
Zequn Xiang, Hongqi Wu, Yanmin Fan, et al.
Atmosphere (2024) Vol. 15, Iss. 11, pp. 1302-1302
Open Access
Random Forest Model-based Aerosol Optical Depth Inversion and Variation Analysis in China
Lejun ZHAO, Fuxing Li, L Wang, et al.
Deleted Journal (2024)
Closed Access
Lejun ZHAO, Fuxing Li, L Wang, et al.
Deleted Journal (2024)
Closed Access
Spatiotemporal Imputation of missing aerosol optical depth using hybrid Machine Learning with downscaling
Abula Tuheti, Zipeng Dong, Guanghua Li, et al.
Atmospheric Environment (2024), pp. 120989-120989
Closed Access
Abula Tuheti, Zipeng Dong, Guanghua Li, et al.
Atmospheric Environment (2024), pp. 120989-120989
Closed Access
Examining the Relationship Between MODIS Satellite Aerosol Optical Depth (AOD) Data at Different Hours and PM10 Air Pollution Index in Ahvaz City
Mohsen Saeidi, Samira Mohammadi, Hossein Marioryad, et al.
Deleted Journal (2024) Vol. 29, Iss. 5, pp. 736-753
Closed Access
Mohsen Saeidi, Samira Mohammadi, Hossein Marioryad, et al.
Deleted Journal (2024) Vol. 29, Iss. 5, pp. 736-753
Closed Access
