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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 Universal Dynamic Threshold Cloud Detection Algorithm (UDTCDA) supported by a prior surface reflectance database
Lin Sun, Jing Wei, Jian Wang, et al.
Journal of Geophysical Research Atmospheres (2016) Vol. 121, Iss. 12, pp. 7172-7196
Open Access | Times Cited: 90

Showing 1-25 of 90 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
Deep learning based cloud detection for medium and high resolution remote sensing images of different sensors
Zhiwei Li, Huanfeng Shen, Qing Cheng, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2019) Vol. 150, pp. 197-212
Open Access | Times Cited: 262
Cloud and cloud shadow detection for optical satellite imagery: Features, algorithms, validation, and prospects
Zhiwei Li, Huanfeng Shen, Qihao Weng, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2022) Vol. 188, pp. 89-108
Closed Access | Times Cited: 101
A first assessment of the Sentinel-2 Level 1-C cloud mask product to support informed surface analyses
Rosa Coluzzi, Vito Imbrenda, Maria Lanfredi, et al.
Remote Sensing of Environment (2018) Vol. 217, pp. 426-443
Open Access | Times Cited: 113
A cloud detection algorithm-generating method for remote sensing data at visible to short-wave infrared wavelengths
Lin Sun, Xueting Mi, Jing Wei, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2016) Vol. 124, pp. 70-88
Open Access | Times Cited: 100
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
Machine learning-based retrieval of day and night cloud macrophysical parameters over East Asia using Himawari-8 data
Yikun Yang, Wenxiao Sun, Yulei Chi, et al.
Remote Sensing of Environment (2022) Vol. 273, pp. 112971-112971
Open Access | Times Cited: 47
Cloud Classification by Machine Learning for Geostationary Radiation Imager
Bin Guo, Feng Zhang, Wenwen Li, et al.
IEEE Transactions on Geoscience and Remote Sensing (2024) Vol. 62, pp. 1-14
Closed Access | Times Cited: 10
Introducing two Random Forest based methods for cloud detection in remote sensing images
N. Ghasemian, Mehdi Akhoondzadeh
Advances in Space Research (2018) Vol. 62, Iss. 2, pp. 288-303
Open Access | Times Cited: 78
Coastline information extraction based on the tasseled cap transformation of Landsat-8 OLI images
Chao Chen, Jiaoqi Fu, Shuai Zhang, et al.
Estuarine Coastal and Shelf Science (2018) Vol. 217, pp. 281-291
Closed Access | Times Cited: 78
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
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
A cloud shadow detection method combined with cloud height iteration and spectral analysis for Landsat 8 OLI data
Lin Sun, Xinyan Liu, Yikun Yang, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2018) Vol. 138, pp. 193-207
Closed Access | Times Cited: 52
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 Fast Cloud Detection Algorithm Applicable to Monitoring and Nowcasting of Daytime Cloud Systems
Xiaoyong Zhuge, Xiaolei Zou, Yuan Wang
IEEE Transactions on Geoscience and Remote Sensing (2017) Vol. 55, Iss. 11, pp. 6111-6119
Closed Access | Times Cited: 42
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
The application of the tasseled cap transformation and feature knowledge for the extraction of coastline information from remote sensing images
Chao Chen, Juan Bu, Yuhuan Zhang, et al.
Advances in Space Research (2019) Vol. 64, Iss. 9, pp. 1780-1791
Closed Access | Times Cited: 41
An Effective Cloud Detection Method for Gaofen-5 Images via Deep Learning
Junchuan Yu, Yichuan Li, Xiangxiang Zheng, et al.
Remote Sensing (2020) Vol. 12, Iss. 13, pp. 2106-2106
Open Access | Times Cited: 33
A Self-Trained Model for Cloud, Shadow and Snow Detection in Sentinel-2 Images of Snow- and Ice-Covered Regions
Kamal Gopikrishnan Nambiar, Veniamin I. Morgenshtern, Philipp Hochreuther, et al.
Remote Sensing (2022) Vol. 14, Iss. 8, pp. 1825-1825
Open Access | Times Cited: 21
The Evolution of Meteorological Satellite Cloud Detection Methodologies
Filomena Romano, Domenico Cimini, Francesco Di Paola, et al.
(2024)
Open Access | Times Cited: 4
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