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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:

An improved algorithm for retrieving the fine-mode fraction of aerosol optical thickness. Part 2: Application and validation in Asia
Xing Yan, Zhanqing Li, Nana Luo, et al.
Remote Sensing of Environment (2018) Vol. 222, pp. 90-103
Open Access | Times Cited: 33

Showing 1-25 of 33 citing articles:

East Asian Study of Tropospheric Aerosols and their Impact on Regional Clouds, Precipitation, and Climate (EAST‐AIRCPC)
Zhanqing Li, Yuan Wang, Jianping Guo, et al.
Journal of Geophysical Research Atmospheres (2019) Vol. 124, Iss. 23, pp. 13026-13054
Open Access | Times Cited: 275
New interpretable deep learning model to monitor real-time PM2.5 concentrations from satellite data
Xing Yan, Zhou Zang, Nana Luo, et al.
Environment International (2020) Vol. 144, pp. 106060-106060
Open Access | Times Cited: 97
Statistical aerosol properties associated with fire events from 2002 to 2019 and a case analysis in 2019 over Australia
Xingchuan Yang, Chuanfeng Zhao, Yikun Yang, et al.
Atmospheric chemistry and physics (2021) Vol. 21, Iss. 5, pp. 3833-3853
Open Access | Times Cited: 49
Climatology of Fine and Coarse Mode Aerosol Optical Thickness Over East and South Asia Derived From POLDER/PARASOL Satellite
Lei Li, Huizheng Che, Yevgeny Derimian, et al.
Journal of Geophysical Research Atmospheres (2020) Vol. 125, Iss. 16
Open Access | Times Cited: 40
Understanding global changes in fine-mode aerosols during 2008–2017 using statistical methods and deep learning approach
Xing Yan, Zhou Zang, Chuanfeng Zhao, et al.
Environment International (2021) Vol. 149, pp. 106392-106392
Open Access | Times Cited: 34
Retrieval of total and fine mode aerosol optical depth by an improved MODIS Dark Target algorithm
Xin Su, Lunche Wang, Xuan Gui, et al.
Environment International (2022) Vol. 166, pp. 107343-107343
Open Access | Times Cited: 24
Towards long-term, high-accuracy, and continuous satellite total and fine-mode aerosol records: Enhanced Land General Aerosol (e-LaGA) retrieval algorithm for VIIRS
Lunche Wang, Xin Su, Yi Wang, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2024) Vol. 214, pp. 261-281
Closed Access | Times Cited: 5
An improved algorithm for retrieving high resolution fine-mode aerosol based on polarized satellite data: Application and validation for POLDER-3
Bangyu Ge, Xiaodong Mei, Zhengqiang Li, et al.
Remote Sensing of Environment (2020) Vol. 247, pp. 111894-111894
Open Access | Times Cited: 35
Validation of the aerosol optical property products derived by the GRASP/Component approach from multi-angular polarimetric observations
Xindan Zhang, Lei Li, Cheng Chen, et al.
Atmospheric Research (2021) Vol. 263, pp. 105802-105802
Open Access | Times Cited: 31
A global land aerosol fine-mode fraction dataset (2001–2020) retrieved from MODIS using hybrid physical and deep learning approaches
Xing Yan, Zhou Zang, Zhanqing Li, et al.
Earth system science data (2022) Vol. 14, Iss. 3, pp. 1193-1213
Open Access | Times Cited: 20
Estimation of regional PM2.5 concentration in China based on fine-mode aerosol optical thickness (AODf) and study of influencing factors
Cheng Wan, Haifeng Xu, Wenhui Luo, et al.
Atmospheric Environment (2025) Vol. 344, pp. 121026-121026
Closed Access
Retrieval of aerosol fine-mode fraction over China from satellite multiangle polarized observations: validation and comparison
Yang Zhang, Zhengqiang Li, Zhihong Liu, et al.
Atmospheric measurement techniques (2021) Vol. 14, Iss. 2, pp. 1655-1672
Open Access | Times Cited: 21
Spatiotemporal Variations of Aerosol Optical Depth and the Spatial Heterogeneity Relationship of Potential Factors Based on the Multi-Scale Geographically Weighted Regression Model in Chinese National-Level Urban Agglomerations
Jiaxin Yuan, Xuhong Wang, Zihao Feng, et al.
Remote Sensing (2023) Vol. 15, Iss. 18, pp. 4613-4613
Open Access | Times Cited: 8
New global aerosol fine-mode fraction data over land derived from MODIS satellite retrievals
Xing Yan, Zhou Zang, Liang Chen, et al.
Environmental Pollution (2021) Vol. 276, pp. 116707-116707
Open Access | Times Cited: 18
Quantifying PM2.5 mass concentration and particle radius using satellite data and an optical-mass conversion algorithm
Ming Liu, Gaoxiang Zhou, Rebecca K. Saari, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2019) Vol. 158, pp. 90-98
Closed Access | Times Cited: 19
An Improved Global Land Anthropogenic Aerosol Product Based on Satellite Retrievals From 2008 to 2016
Liang Chen, Zhou Zang, Zhanqing Li, et al.
IEEE Geoscience and Remote Sensing Letters (2020) Vol. 18, Iss. 6, pp. 944-948
Closed Access | Times Cited: 17
Multi-spatiotemporal patterns of aerosol optical depth and influencing factors during 2000–2020 from two spatial perspectives: The entire Yellow River Basin region and its urban agglomerations
Yurong Zheng, Xuhong Wang, Xiu Zhang, et al.
International Journal of Applied Earth Observation and Geoinformation (2021) Vol. 106, pp. 102643-102643
Open Access | Times Cited: 15
Predicting spatiotemporal variations of PM2.5 concentrations during spring festival for county-level cities in China using VIIRS-DNB data
Nurmemet Erkin, Maimaiti Simayi, Xarapat Ablat, et al.
Atmospheric Environment (2022) Vol. 294, pp. 119484-119484
Closed Access | Times Cited: 10
The Spectral Nature of Earth’s Reflected Radiation: Measurement and Science Applications
Graeme L. Stephens, О. В. Калашникова, Jake J. Gristey, et al.
Frontiers in Remote Sensing (2021) Vol. 2
Open Access | Times Cited: 12
Tropical and subtropical remote sensing： Needs， challenges， and opportunities
Hui Lin, Hongsheng ZHANG
National Remote Sensing Bulletin (2021) Vol. 25, Iss. 1, pp. 276-291
Open Access | Times Cited: 5
Spectral Deconvolution Algorithm for Global Fine-Mode Aerosol Retrieval in the 1990s Using Dual-Angle Satellite Aerosol Data
Xing Yan, Jiayi Chen, Chen Zuo, et al.
IEEE Transactions on Geoscience and Remote Sensing (2023) Vol. 61, pp. 1-11
Closed Access | Times Cited: 1
Bridging the Gap: Establishing Spatial Correlations and Type Conversion Relationships among Different Aerosol Idetification Methods
Qixiang Chen, Chunlin Huang, Shikui Dong, et al.
Atmospheric Research (2024) Vol. 308, pp. 107523-107523
Closed Access
Spatiotemporal Patterns and Equity Analysis of Premature Mortality Due to Ischemic Heart Disease Attributable to PM2.5 Exposure in China: 2007–2022
Yanling Zhong, Yong Guo, Dingming Liu, et al.
Toxics (2024) Vol. 12, Iss. 9, pp. 641-641
Open Access
Substantial Underestimation of Fine-Mode Aerosol Loading from Wildfires and Its Radiative Effects in Current Satellite-Based Retrievals over the United States
Xing Yan, Zuo Chen, Zhanqing Li, et al.
Environmental Science & Technology (2024) Vol. 58, Iss. 35, pp. 15661-15671
Closed Access
Retrieval of Aerosol Fine-mode Fraction over China from Satellite Multiangle Polarized Observations: Validation and Application
Yang Zhang, Zhengqiang Li, Zhihong Liu, et al.
(2020)
Open Access
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