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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:

Evaluation and Comparison of Himawari-8 L2 V1.0, V2.1 and MODIS C6.1 aerosol products over Asia and the oceania regions
Xingchuan Yang, Chuanfeng Zhao, Nana Luo, et al.
Atmospheric Environment (2019) Vol. 220, pp. 117068-117068
Open Access | Times Cited: 65

Showing 1-25 of 65 citing articles:

COVID-19's impact on the atmospheric environment in the Southeast Asia region
Kasturi Devi Kanniah, Nurul Amalin Fatihah Kamarul Zaman, Dimitris G. Kaskaoutis, et al.
The Science of The Total Environment (2020) Vol. 736, pp. 139658-139658
Open Access | Times Cited: 338
The Dark Target Algorithm for Observing the Global Aerosol System: Past, Present, and Future
L. A. Remer, R. C. Levy, S. Mattoo, et al.
Remote Sensing (2020) Vol. 12, Iss. 18, pp. 2900-2900
Open Access | Times Cited: 98
Estimation of Near-Surface High Spatiotemporal Resolution Ozone Concentration in China Using Himawari-8 AOD
Yixuan Wang, Chongshui Gong, Li Dong, et al.
Remote Sensing (2025) Vol. 17, Iss. 3, pp. 528-528
Open Access | Times Cited: 1
Long-term multi-source data analysis about the characteristics of aerosol optical properties and types over Australia
Xingchuan Yang, Chuanfeng Zhao, Yikun Yang, et al.
Atmospheric chemistry and physics (2021) Vol. 21, Iss. 5, pp. 3803-3825
Open Access | Times Cited: 55
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
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: 44
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
Temporal evolution of aerosols and their extreme events in polluted Asian regions during Terra's 20-year observations
Zhiyuan Hu, Qinjian Jin, Yuanyuan Ma, et al.
Remote Sensing of Environment (2021) Vol. 263, pp. 112541-112541
Open Access | Times Cited: 38
Evaluation of Machine Learning Models for Estimating PM2.5 Concentrations across Malaysia
Nurul Amalin Fatihah Kamarul Zaman, Kasturi Devi Kanniah, Dimitris G. Kaskaoutis, et al.
Applied Sciences (2021) Vol. 11, Iss. 16, pp. 7326-7326
Open Access | Times Cited: 37
A full-coverage estimation of PM2.5 concentrations using a hybrid XGBoost-WD model and WRF-simulated meteorological fields in the Yangtze River Delta Urban Agglomeration, China
Jiajia Wang, Li He, Xiaoman Lu, et al.
Environmental Research (2021) Vol. 203, pp. 111799-111799
Closed Access | Times Cited: 37
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
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
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: 24
Characterization of global fire activity and its spatiotemporal patterns for different land cover types from 2001 to 2020
Xingchuan Yang, Chuanfeng Zhao, Wenji Zhao, et al.
Environmental Research (2023) Vol. 227, pp. 115746-115746
Open Access | Times Cited: 14
Advances in sunphotometer-measured aerosol optical properties and related topics in China: Impetus and perspectives
Xiangao Xia, Huizheng Che, Hongrong Shi, et al.
Atmospheric Research (2020) Vol. 249, pp. 105286-105286
Open Access | Times Cited: 39
High temporal and spatial resolution PM2.5 dataset acquisition and pollution assessment based on FY-4A TOAR data and deep forest model in China
Zhihao Song, Bin Chen, Peng Zhang, et al.
Atmospheric Research (2022) Vol. 274, pp. 106199-106199
Open Access | Times Cited: 20
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
Explainable and spatial dependence deep learning model for satellite-based O3 monitoring in China
Nana Luo, Zhou Zang, Chuan Yin, et al.
Atmospheric Environment (2022) Vol. 290, pp. 119370-119370
Open Access | Times Cited: 20
Estimation of Hourly Ground-Level PM2.5 Concentration Based on Himawari-8 Apparent Reflectance
Wenzhi Fan, Kai Qin, Yilong Cui, et al.
IEEE Transactions on Geoscience and Remote Sensing (2020), pp. 1-10
Closed Access | Times Cited: 30
Tree-based ensemble deep learning model for spatiotemporal surface ozone (O3) prediction and interpretation
Zhou Zang, Yushan Guo, Yize Jiang, et al.
International Journal of Applied Earth Observation and Geoinformation (2021) Vol. 103, pp. 102516-102516
Open Access | Times Cited: 26
Assessing spatiotemporal variations of AOD in Japan based on Himawari-8 L3 V31 aerosol products: Validations and applications
Yunhui Tan, Quan Wang, Zhaoyang Zhang
Atmospheric Pollution Research (2022) Vol. 13, Iss. 6, pp. 101439-101439
Open Access | Times Cited: 17
Improving aerosol optical depth retrievals from Himawari-8 with ensemble learning enhancement: Validation over Asia
Disong Fu, Christian A. Gueymard, Dazhi Yang, et al.
Atmospheric Research (2023) Vol. 284, pp. 106624-106624
Closed Access | Times Cited: 9
Spatiotemporal variations and source on black carbon over Chongqing, China: Long-term changes and observational experiments
Yurong Zhang, Han Yong, Dong Li, et al.
The Science of The Total Environment (2024) Vol. 946, pp. 174127-174127
Closed Access | Times Cited: 3
How is the spatiotemporal representativeness of ground- and satellite-based aerosol optical depth (AOD) measurements over Asia?
Li Chen, Chao Liu, Jiandong Wang, et al.
Atmospheric Research (2024), pp. 107857-107857
Closed Access | Times Cited: 3
An interpretable deep forest model for estimating hourly PM10 concentration in China using Himawari-8 data
Bin Chen, Zhihao Song, Baolong Shi, et al.
Atmospheric Environment (2021) Vol. 268, pp. 118827-118827
Open Access | Times Cited: 20
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