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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:

Joint retrieval of the aerosol fine mode fraction and optical depth using MODIS spectral reflectance over northern and eastern China: Artificial neural network method
Xingfeng Chen, Gerrit de Leeuw, Antti Arola, et al.
Remote Sensing of Environment (2020) Vol. 249, pp. 112006-112006
Closed Access | Times Cited: 86

Showing 1-25 of 86 citing articles:

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: 90
Improved retrievals of aerosol optical depth and fine mode fraction from GOCI geostationary satellite data using machine learning over East Asia
Yoojin Kang, Miae Kim, Eunjin Kang, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2021) Vol. 183, pp. 253-268
Open Access | Times Cited: 66
Quantifying how topography impacts vegetation indices at various spatial and temporal scales
Yichuan Ma, Tao He, Tim R. McVicar, et al.
Remote Sensing of Environment (2024) Vol. 312, pp. 114311-114311
Open Access | Times Cited: 13
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
Predicting annual PM2.5 in mainland China from 2014 to 2020 using multi temporal satellite product: An improved deep learning approach with spatial generalization ability
Zhige Wang, Bifeng Hu, Bo Huang, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2022) Vol. 187, pp. 141-158
Closed Access | Times Cited: 34
A Deep-Learning and Transfer-Learning Hybrid Aerosol Retrieval Algorithm for FY4-AGRI: Development and Verification over Asia
Disong Fu, Hongrong Shi, Christian A. Gueymard, et al.
Engineering (2024) Vol. 38, pp. 164-174
Open Access | Times Cited: 7
Time series retrieval of Multi-wavelength Aerosol optical depth by adapting Transformer (TMAT) using Himawari-8 AHI data
Lu She, Zhengqiang Li, Gerrit de Leeuw, et al.
Remote Sensing of Environment (2024) Vol. 305, pp. 114115-114115
Open Access | Times Cited: 7
Himawari-8 Aerosol Optical Depth (AOD) Retrieval Using a Deep Neural Network Trained Using AERONET Observations
Lu She, Hankui K. Zhang, Zhengqiang Li, et al.
Remote Sensing (2020) Vol. 12, Iss. 24, pp. 4125-4125
Open Access | Times Cited: 46
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
The retrieval of aerosol optical properties based on a random forest machine learning approach: Exploration of geostationary satellite images
Fangwen Bao, Kai Huang, Shengbiao Wu
Remote Sensing of Environment (2022) Vol. 286, pp. 113426-113426
Closed Access | Times Cited: 24
A Two-Stage Machine Learning Algorithm for Retrieving Multiple Aerosol Properties Over Land: Development and Validation
Mengdan Cao, Ming Zhang, Xin Su, et al.
IEEE Transactions on Geoscience and Remote Sensing (2023) Vol. 61, pp. 1-17
Closed Access | Times Cited: 15
Retrieval of aerosol single scattering albedo using joint satellite and surface visibility measurements
Yueming Dong, Jing Li, Xing Yan, et al.
Remote Sensing of Environment (2023) Vol. 294, pp. 113654-113654
Open Access | Times Cited: 13
Spatiotemporal characteristic and forecast of drought in northern Xinjiang, China
Haiwei Zhang, Jia Song, Gang Wang, et al.
Ecological Indicators (2021) Vol. 127, pp. 107712-107712
Open Access | Times Cited: 29
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
Lidar-based daytime boundary layer height variation and impact on the regional satellite-based PM2.5 estimate
Sijie Chen, Bowen Tong, Lynn M. Russell, et al.
Remote Sensing of Environment (2022) Vol. 281, pp. 113224-113224
Open Access | Times Cited: 19
A Data-Driven Method for Aerosol FMF Retrieval over Land using Single-View Polarization Satellite data
Zheng Shi, Jiaxu Guo, Zhengqiang Li, et al.
Atmospheric Environment (2025), pp. 121083-121083
Closed Access
A High-Resolution Aerosol Retrieval Algorithm Via Deep Learning
Bing Tu, Chengxin Hu, Bo Liu, et al.
(2025)
Closed Access
Enhancing global aerosol retrieval from satellite data via deep learning with mutual information estimation
Xiaohu Sun, Yong Xue, Lin Sun
International Journal of Applied Earth Observation and Geoinformation (2025) Vol. 139, pp. 104534-104534
Closed Access
Spatially gap free analysis of aerosol type grids in China: First retrieval via satellite remote sensing and big data analytics
Ke Li, Kaixu Bai, Mingliang Ma, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2022) Vol. 193, pp. 45-59
Open Access | Times Cited: 18
A Deep-Neural-Network-Based Aerosol Optical Depth (AOD) Retrieval from Landsat-8 Top of Atmosphere Data
Lu She, Hankui K. Zhang, Ziqiang Bu, et al.
Remote Sensing (2022) Vol. 14, Iss. 6, pp. 1411-1411
Open Access | Times Cited: 17
A spectrum contextual self-attention deep learning network for hyperspectral inversion of soil metals
Tingyu Zhang, Quan Fu, Runqing Tian, et al.
Ecological Indicators (2023) Vol. 152, pp. 110351-110351
Open Access | Times Cited: 10
Influence of industrial sustainability transition on air quality in a typical resource-exhausted city
Jingyi Wang, Xiaoming Li
Heliyon (2024) Vol. 10, Iss. 3, pp. e25138-e25138
Open Access | Times Cited: 3
The Impacts of the COVID-19 Lockdown on Air Quality in the Guanzhong Basin, China
Kainan Zhang, Gerrit de Leeuw, Zhiqiang Yang, et al.
Remote Sensing (2020) Vol. 12, Iss. 18, pp. 3042-3042
Open Access | Times Cited: 27
Neural Network AEROsol Retrieval for Geostationary Satellite (NNAeroG) Based on Temporal, Spatial and Spectral Measurements
Xingfeng Chen, Limin Zhao, Fengjie Zheng, et al.
Remote Sensing (2022) Vol. 14, Iss. 4, pp. 980-980
Open Access | Times Cited: 15
Multi-dimensional satellite observations of aerosol properties and aerosol types over three major urban clusters in eastern China
Yuqin Liu, Tao Lin, Juan Hong, et al.
Atmospheric chemistry and physics (2021) Vol. 21, Iss. 16, pp. 12331-12358
Open Access | Times Cited: 19
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