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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:

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

Showing 1-25 of 66 citing articles:

Artificial intelligence for geoscience: Progress, challenges and perspectives
Tianjie Zhao, Sheng Wang, Chaojun Ouyang, et al.
The Innovation (2024) Vol. 5, Iss. 5, pp. 100691-100691
Open Access | Times Cited: 56
Development of a hybrid algorithm for the simultaneous retrieval of aerosol optical thickness and fine-mode fraction from multispectral satellite observation combining radiative transfer and transfer learning approaches
Chenqian Tang, Chong Shi, Husi Letu, et al.
Remote Sensing of Environment (2025) Vol. 319, pp. 114619-114619
Open Access | Times Cited: 1
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: 30
Retrieval of aerosol optical properties from GOCI-II observations: Continuation of long-term geostationary aerosol monitoring over East Asia
Seoyoung Lee, Myungje Choi, Jhoon Kim, et al.
The Science of The Total Environment (2023) Vol. 903, pp. 166504-166504
Open Access | Times Cited: 22
River ecological flow early warning forecasting using baseflow separation and machine learning in the Jiaojiang River Basin, Southeast China
Hao Chen, Saihua Huang, Yue‐Ping Xu, et al.
The Science of The Total Environment (2023) Vol. 882, pp. 163571-163571
Closed Access | Times Cited: 21
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
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
Opinion: Aerosol remote sensing over the next 20 years
L. A. Remer, R. C. Levy, J. Vanderlei Martins
Atmospheric chemistry and physics (2024) Vol. 24, Iss. 4, pp. 2113-2127
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
All-Sky 1 km MODIS Land Surface Temperature Reconstruction Considering Cloud Effects Based on Machine Learning
Dongjin Cho, Dukwon Bae, Cheolhee Yoo, et al.
Remote Sensing (2022) Vol. 14, Iss. 8, pp. 1815-1815
Open Access | Times Cited: 26
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 hourly PM2.5 using top-of-atmosphere reflectance from geostationary ocean color imagers I and II
Hyunyoung Choi, Seonyoung Park, Yoojin Kang, et al.
Environmental Pollution (2023) Vol. 323, pp. 121169-121169
Closed Access | Times Cited: 13
A robust and flexible satellite aerosol retrieval algorithm for multi-angle polarimetric measurements with physics-informed deep learning method
Minghui Tao, Jinxi Chen, Xiaoguang Xu, et al.
Remote Sensing of Environment (2023) Vol. 297, pp. 113763-113763
Closed Access | Times Cited: 13
Unveiling global land fine- and coarse-mode aerosol dynamics from 2005 to 2020 using enhanced satellite-based monthly inversion data
Nana Luo, Yue Zhang, Yize Jiang, et al.
Environmental Pollution (2024) Vol. 348, pp. 123838-123838
Closed Access | Times Cited: 4
High-Frequency Mapping of Downward Shortwave Radiation From GOES-R Using Gradient Boosting
Sadegh Ranjbar, Danielle Losos, Sophie Hoffman, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2024) Vol. 17, pp. 11958-11968
Open Access | Times Cited: 4
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: 4
Quantification of anthropogenic aerosol and radiative properties over Bangladesh
Shahid Uz Zaman, Md Riad Sarkar Pavel, Abdus Salam
Remote Sensing Applications Society and Environment (2025) Vol. 37, pp. 101511-101511
Closed Access
Aerosol Retrieval Method Using Multi-Angle Data from GF-5 02 DPC over the Jing–Jin–Ji Region
Zhongting Wang, Shikuan Jin, Cheng Chen, et al.
Remote Sensing (2025) Vol. 17, Iss. 8, pp. 1415-1415
Open 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
Automatic Detection of Daytime Sea Fog Based on Supervised Classification Techniques for FY-3D Satellite
Yu Wang, Zhongfeng Qiu, Dongzhi Zhao, et al.
Remote Sensing (2023) Vol. 15, Iss. 9, pp. 2283-2283
Open Access | Times Cited: 10
MAIAC AOD profiling over the Persian Gulf: A seasonal-independent machine learning approach
Maryam Pashayi, Mehran Satari, Mehdi Momeni Shahraki, et al.
Atmospheric Pollution Research (2024) Vol. 15, Iss. 7, pp. 102128-102128
Closed Access | Times Cited: 3
Direct aerosol optical depth retrievals using MODIS reflectance data and machine learning over East Asia
Eunjin Kang, Seonyoung Park, Miae Kim, et al.
Atmospheric Environment (2023) Vol. 309, pp. 119951-119951
Closed Access | Times Cited: 7
Continental aerosol properties and absorption retrieval using random forest machine learning method specific to geostationary remote sensing
Fangwen Bao, Shengbiao Wu, Jinhui Gao, et al.
Remote Sensing of Environment (2024) Vol. 311, pp. 114275-114275
Closed Access | Times Cited: 2
Visibility-derived aerosol optical depth over global land from 1959 to 2021
Hongfei Hao, Kaicun Wang, Chuanfeng Zhao, et al.
Earth system science data (2024) Vol. 16, Iss. 7, pp. 3233-3260
Open Access | Times Cited: 2
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