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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:

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: 87

Showing 1-25 of 87 citing articles:

LGHAP: the Long-term Gap-free High-resolution Air Pollutant concentration dataset, derived via tensor-flow-based multimodal data fusion
Kaixu Bai, Ke Li, Mingliang Ma, et al.
Earth system science data (2022) Vol. 14, Iss. 2, pp. 907-927
Open Access | Times Cited: 95
Global synthesis of two decades of research on improving PM2.5 estimation models from remote sensing and data science perspectives
Kaixu Bai, Ke Li, Yibing Sun, et al.
Earth-Science Reviews (2023) Vol. 241, pp. 104461-104461
Closed Access | Times Cited: 40
Unravelling blue landscape fragmentation effects on ecosystem services in urban agglomerations
Sonali Kundu, Narendra Kumar Rana, Susanta Mahato
Sustainable Cities and Society (2024) Vol. 102, pp. 105192-105192
Closed Access | Times Cited: 21
Global validation and hybrid calibration of CAMS and MERRA-2 PM2.5 reanalysis products based on OpenAQ platform
Caiyi Jin, Yuan Wang, Tongwen Li, et al.
Atmospheric Environment (2022) Vol. 274, pp. 118972-118972
Open Access | Times Cited: 40
Spatiotemporally continuous PM2.5 dataset in the Mekong River Basin from 2015 to 2022 using a stacking model
D. Y. Chen, Xingfa Gu, Hong Guo, et al.
The Science of The Total Environment (2024) Vol. 914, pp. 169801-169801
Closed 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: 49
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
Estimation of near-surface ozone concentration and analysis of main weather situation in China based on machine learning model and Himawari-8 TOAR data
Bin Chen, Yixuan Wang, Jianping Huang, et al.
The Science of The Total Environment (2022) Vol. 864, pp. 160928-160928
Closed Access | Times Cited: 36
Estimating PM2.5 surface concentrations from AOD: A combination of SLSTR and MODIS
Jana Handschuh, Thilo Erbertseder, Martijn Schaap, et al.
Remote Sensing Applications Society and Environment (2022) Vol. 26, pp. 100716-100716
Open Access | Times Cited: 35
Atmospheric Aerosols: Some Highlights and Highlighters, Past to Recent Years
Zainab Mushtaq, Manish Sharma, Pargin Bangotra, et al.
Aerosol Science and Engineering (2022) Vol. 6, Iss. 2, pp. 135-145
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
Implementing Artificial Intelligence to Reduce Marine Ecosystem Pollution
Muhammad Faizal Fazri, Lintang Bayu Kusuma, Risa Burhani Rahmawan, et al.
IAIC Transactions on Sustainable Digital Innovation (ITSDI) (2023) Vol. 4, Iss. 2, pp. 101-108
Open Access | Times Cited: 19
The global spatial-temporal distribution and EOF analysis of AOD based on MODIS data during 2003–2021
Xiaomin Tian, Chaoli Tang, X. Wu, et al.
Atmospheric Environment (2023) Vol. 302, pp. 119722-119722
Open Access | Times Cited: 18
Global aerosol retrieval over land from Landsat imagery integrating Transformer and Google Earth Engine
Jing Wei, Zhihui Wang, Zhanqing Li, et al.
Remote Sensing of Environment (2024) Vol. 315, pp. 114404-114404
Closed Access | Times Cited: 6
Evaluating urban and nonurban PM 2.5 variability under clean air actions in China during 2010–2022 based on a new high-quality dataset
Boya Liu, Lili Wang, Lei Zhang, et al.
International Journal of Digital Earth (2024) Vol. 17, Iss. 1
Open Access | Times Cited: 5
On the added value of satellite AOD for the investigation of ground-level PM2.5 variability
Jana Handschuh, Thilo Erbertseder, F. W. Baier
Atmospheric Environment (2024) Vol. 331, pp. 120601-120601
Open Access | Times Cited: 5
Advancing horizons in remote sensing: a comprehensive survey of deep learning models and applications in image classification and beyond
Sidike Paheding, Ashraf Saleem, Mohammad Faridul Haque Siddiqui, et al.
Neural Computing and Applications (2024) Vol. 36, Iss. 27, pp. 16727-16767
Open Access | Times Cited: 5
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: 26
The polarization crossfire (PCF) sensor suite focusing on satellite remote sensing of fine particulate matter PM2.5 from space
Zhengqiang Li, Weizhen Hou, Jin Hong, et al.
Journal of Quantitative Spectroscopy and Radiative Transfer (2022) Vol. 286, pp. 108217-108217
Closed Access | Times Cited: 26
High spatiotemporal resolution estimation of AOD from Himawari-8 using an ensemble machine learning gap-filling method
Aoxuan Chen, Jin Yang, Yan He, et al.
The Science of The Total Environment (2022) Vol. 857, pp. 159673-159673
Closed Access | Times Cited: 22
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: 13
Experimental study on the charging process of dust particles
Tian-sheng Liu, Tian-Li Bo
Powder Technology (2025) Vol. 453, pp. 120630-120630
Closed Access
Advances in Earth Observation Satellites for global air quality monitoring
J. Kuttippurath, Vikas Patel
Elsevier eBooks (2025), pp. 361-381
Closed Access
A Systematic Study of Popular Software Packages and AI/ML Models for Calibrating In Situ Air Quality Data: An Example with Purple Air Sensors
Jennifer Smith, Theodore Trefonides, Anusha Srirenganathan Malarvizhi, et al.
Sensors (2025) Vol. 25, Iss. 4, pp. 1028-1028
Open Access
Estimation of PM2.5 Concentration in DKI Jakarta from Sentinel-5P Imagery by Considering Meteorological Factors Using Random Forest Approach
Roslan Abd. Rahman, Nur Mohammad Farda, Ardhasena Sopaheluwakan
BIO Web of Conferences (2025) Vol. 167, pp. 03003-03003
Open Access
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