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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:

A Simple and Universal Aerosol Retrieval Algorithm for Landsat Series Images Over Complex Surfaces
Jing Wei, Bo Huang, Lin Sun, et al.
Journal of Geophysical Research Atmospheres (2017) Vol. 122, Iss. 24
Open Access | Times Cited: 60

Showing 1-25 of 60 citing articles:

MODIS Collection 6.1 aerosol optical depth products over land and ocean: validation and comparison
Jing Wei, Zhanqing Li, Yiran Peng, et al.
Atmospheric Environment (2018) Vol. 201, pp. 428-440
Open Access | Times Cited: 362
Intercomparison in spatial distributions and temporal trends derived from multi-source satellite aerosol products
Jing Wei, Yiran Peng, Rashed Mahmood, et al.
Atmospheric chemistry and physics (2019) Vol. 19, Iss. 10, pp. 7183-7207
Open Access | Times Cited: 113
Performance of MODIS Collection 6.1 Level 3 aerosol products in spatial-temporal variations over land
Jing Wei, Yiran Peng, Jianping Guo, et al.
Atmospheric Environment (2019) Vol. 206, pp. 30-44
Open Access | Times Cited: 108
Cloud detection for Landsat imagery by combining the random forest and superpixels extracted via energy-driven sampling segmentation approaches
Jing Wei, Wei Huang, Zhanqing Li, et al.
Remote Sensing of Environment (2020) Vol. 248, pp. 112005-112005
Open Access | Times Cited: 78
Modeling the impacts of 2D/3D urban structure on PM2.5 at high resolution by combining UAV multispectral/LiDAR measurements and multi-source remote sensing images
Rongfang Lyu, Jinming Zhang, Jili Pang, et al.
Journal of Cleaner Production (2024) Vol. 437, pp. 140613-140613
Closed Access | Times Cited: 9
Evaluation and uncertainty estimate of next-generation geostationary meteorological Himawari-8/AHI aerosol products
Jing Wei, Zhanqing Li, Lin Sun, et al.
The Science of The Total Environment (2019) Vol. 692, pp. 879-891
Open Access | Times Cited: 76
Satellite-derived spatiotemporal PM2.5 concentrations and variations from 2006 to 2017 in China
Wenhao Xue, Jing Zhang, Chao Zhong, et al.
The Science of The Total Environment (2019) Vol. 712, pp. 134577-134577
Closed Access | Times Cited: 63
MODIS Collection 6.1 3 km resolution aerosol optical depth product: global evaluation and uncertainty analysis
Jing Wei, Zhanqing Li, Lin Sun, et al.
Atmospheric Environment (2020) Vol. 240, pp. 117768-117768
Closed Access | Times Cited: 58
Convolutional Neural Network-Driven Improvements in Global Cloud Detection for Landsat 8 and Transfer Learning on Sentinel-2 Imagery
Shulin Pang, Lin Sun, Yanan Tian, et al.
Remote Sensing (2023) Vol. 15, Iss. 6, pp. 1706-1706
Open Access | Times Cited: 17
Advancements in high-resolution land surface satellite products: A comprehensive review of inversion algorithms, products and challenges
Shunlin Liang, Tao He, Jianxi Huang, et al.
Science of Remote Sensing (2024) Vol. 10, pp. 100152-100152
Open Access | Times Cited: 7
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: 7
Evaluation of Terra-MODIS C6 and C6.1 Aerosol Products against Beijing, XiangHe, and Xinglong AERONET Sites in China during 2004-2014
Muhammad Bilal, Majid Nazeer, Janet E. Nichol, et al.
Remote Sensing (2019) Vol. 11, Iss. 5, pp. 486-486
Open Access | Times Cited: 54
An Improved High‐Spatial‐Resolution Aerosol Retrieval Algorithm for MODIS Images Over Land
Jing Wei, Lin Sun, Yiran Peng, et al.
Journal of Geophysical Research Atmospheres (2018) Vol. 123, Iss. 21
Closed Access | Times Cited: 49
A Regionally Robust High-Spatial-Resolution Aerosol Retrieval Algorithm for MODIS Images Over Eastern China
Jing Wei, Zhanqing Li, Yiran Peng, et al.
IEEE Transactions on Geoscience and Remote Sensing (2019) Vol. 57, Iss. 7, pp. 4748-4757
Open Access | Times Cited: 47
A Review on Estimation of Particulate Matter from Satellite-Based Aerosol Optical Depth: Data, Methods, and Challenges
Avinash Kumar Ranjan, Aditya Kumar Patra, Amit Kumar Gorai
Asia-Pacific Journal of Atmospheric Sciences (2020) Vol. 57, Iss. 3, pp. 679-699
Closed Access | Times Cited: 41
A New Algorithm for Himawari-8 Aerosol Optical Depth Retrieval by Integrating Regional PM₂.₅ Concentrations
Weiwei Xu, Wei Wang, Nan Wang, et al.
IEEE Transactions on Geoscience and Remote Sensing (2022) Vol. 60, pp. 1-11
Closed Access | Times Cited: 24
Improved merge schemes for MODIS Collection 6.1 Dark Target and Deep Blue combined aerosol products
Jing Wei, Zhanqing Li, Lin Sun, et al.
Atmospheric Environment (2019) Vol. 202, pp. 315-327
Open Access | Times Cited: 42
Retrieving spatial variation of aerosol level over urban mixed land surfaces using Landsat imageries: Degree of air pollution in Dhaka Metropolitan Area
Abdullah-Al- Faisal, Md. Mostafizur Rahman, Shajibul Haque
Physics and Chemistry of the Earth Parts A/B/C (2021) Vol. 126, pp. 103074-103074
Open Access | Times Cited: 30
Comprehensive Assessment and Analysis of the Current Global Aerosol Optical Depth Products
Liping Zhang, Xufeng Wang, Guanghui Huang, et al.
Remote Sensing (2024) Vol. 16, Iss. 8, pp. 1425-1425
Open Access | Times Cited: 4
High resolution aerosol optical depth retrieval over urban areas from Landsat-8 OLI images
Hao Lin, Siwei Li, Jia Xing, et al.
Atmospheric Environment (2021) Vol. 261, pp. 118591-118591
Open Access | Times Cited: 25
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 High-Resolution Aerosol Retrieval Algorithm Via Deep Learning
Bing Tu, Chengxin Hu, Bo Liu, et al.
(2025)
Closed Access
Aerosol optical depth retrieval over the city of Abu Dhabi, United Arab Emirates (UAE) using Landsat-8 OLI images
Khalid Omari, Abdelgadir Abuelgasim, Khawla Alhebsi
Atmospheric Pollution Research (2019) Vol. 10, Iss. 4, pp. 1075-1083
Open Access | Times Cited: 28
Exploring the spatial-temporal characteristics of the aerosol optical depth (AOD) in Central Asia based on the moderate resolution imaging spectroradiometer (MODIS)
Di Wang, Zhang Fei, Shengtian Yang, et al.
Environmental Monitoring and Assessment (2020) Vol. 192, Iss. 6
Closed Access | Times Cited: 27
Improved Aerosol Retrievals Over Complex Regions Using NPP Visible Infrared Imaging Radiometer Suite Observations
Yikun Yang, Chuanfeng Zhao, Lin Sun, et al.
Earth and Space Science (2019) Vol. 6, Iss. 4, pp. 629-645
Open Access | Times Cited: 26
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