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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:

Improving the Estimation of Daily Aerosol Optical Depth and Aerosol Radiative Effect Using an Optimized Artificial Neural Network
Wenmin Qin, Lunche Wang, Aiwen Lin, et al.
Remote Sensing (2018) Vol. 10, Iss. 7, pp. 1022-1022
Open Access | Times Cited: 51

Showing 26-50 of 51 citing articles:

PM2.5 mapping using integrated geographically temporally weighted regression (GTWR) and random sample consensus (RANSAC) models
Hone‐Jay Chu, Muhammad Bilal
Environmental Science and Pollution Research (2018) Vol. 26, Iss. 2, pp. 1902-1910
Closed Access | Times Cited: 25
In situ measurements and backward-trajectory analysis of high-concentration, fine-mode aerosols in the UTLS over the Tibetan Plateau
Jinqiang Zhang, Xue Wu, Shang Liu, et al.
Environmental Research Letters (2019) Vol. 14, Iss. 12, pp. 124068-124068
Open Access | Times Cited: 21
Evaluating temporal and spatial variability and trend of aerosol optical depth (550 nm) over Iran using data from MODIS on board the Terra and Aqua satellites
Abbasali Dadashi-Roudbari, Mahmoud Ahmadi
Arabian Journal of Geosciences (2020) Vol. 13, Iss. 6
Closed Access | Times Cited: 19
Evaluation of Direct Horizontal Irradiance in China Using a Physically-Based Model and Machine Learning Methods
Feiyan Chen, Zhigao Zhou, Aiwen Lin, et al.
Energies (2019) Vol. 12, Iss. 1, pp. 150-150
Open Access | Times Cited: 18
Estimation of the Hourly Aerosol Optical Depth From GOCI Geostationary Satellite Data: Deep Neural Network, Machine Learning, and Physical Models
Jong‐Min Yeom, Seungtaek Jeong, Jong‐Sung Ha, et al.
IEEE Transactions on Geoscience and Remote Sensing (2021) Vol. 60, pp. 1-12
Open Access | Times Cited: 15
Remote sensing retrieval based on machine learning algorithm： Uncertainty analysis
Jingping Wang, Xiaodan Wu, Dujuan Ma, et al.
National Remote Sensing Bulletin (2023) Vol. 27, Iss. 3, pp. 790-801
Open Access | Times Cited: 6
Analysis of water vapor effects on aerosol properties and direct radiative forcing in China
Jun Zhu, Huizheng Che, Xiangao Xia, et al.
The Science of The Total Environment (2018) Vol. 650, pp. 257-266
Open Access | Times Cited: 17
Aerosol Optical Properties over an Urban Site in Central China Determined Using Ground-Based Sun Photometer Measurements
Chao Liu, Leiku Yang, Huizheng Che, et al.
Aerosol and Air Quality Research (2019) Vol. 19, Iss. 3, pp. 620-638
Open Access | Times Cited: 16
Spatio-temporal distribution of INSAT-3D AOD derived particulate matter concentration over India
Amitesh Gupta, Yogesh Kant, Debashis Mitra, et al.
Atmospheric Pollution Research (2020) Vol. 12, Iss. 1, pp. 159-172
Closed Access | Times Cited: 16
A New Long-Term Downward Surface Solar Radiation Dataset over China from 1958 to 2015
Ning Hou, Xiaotong Zhang, Weiyu Zhang, et al.
Sensors (2020) Vol. 20, Iss. 21, pp. 6167-6167
Open Access | Times Cited: 15
Assessment and categorization of empirical models for estimating monthly, daily, and hourly diffuse solar radiation: A case study of Iran
Amir Hossein Mirzabe, Ali Hajiahmad, Alireza Keyhani
Sustainable Energy Technologies and Assessments (2021) Vol. 47, pp. 101330-101330
Closed Access | Times Cited: 14
Evaluation and improvement of MODIS aerosol optical depth products over China
Yi Li, Guoping Shi, Zhian Sun
Atmospheric Environment (2019) Vol. 223, pp. 117251-117251
Closed Access | Times Cited: 15
Impact of aerosols on warm clouds over the Sichuan Basin, China in winter based on the MERRA-2 reanalysis dataset
Shaobin Zhu, Zhisheng Xiao, Huizheng Che, et al.
Atmospheric Pollution Research (2022) Vol. 13, Iss. 3, pp. 101342-101342
Closed Access | Times Cited: 8
Extracting Taklimakan Dust Parameters from AIRS with Artificial Neural Network Method
Zhigang Yao, Jun Li, Zhao Zengliang, et al.
Remote Sensing (2019) Vol. 11, Iss. 24, pp. 2931-2931
Open Access | Times Cited: 10
Hybrid FORM-Sampling simulation method for finding design point and importance vector in structural reliability
Kiyanoosh Malakzadeh, Maryam Daei
Applied Soft Computing (2020) Vol. 92, pp. 106313-106313
Closed Access | Times Cited: 10
Application of machine learning approaches in the analysis of mass absorption cross-section of black carbon aerosols: Aerosol composition dependencies and sensitivity analyses
Andrew A. May, Hanyang Li
Aerosol Science and Technology (2022) Vol. 56, Iss. 11, pp. 998-1008
Open Access | Times Cited: 6
Nesting Elterman Model and Spatiotemporal Linear Mixed-Effects Model to Predict the Daily Aerosol Optical Depth over the Southern Central Hebei Plain, China
Fuxing Li, Mengshi Li, Ying-Juan Zheng, et al.
Sustainability (2023) Vol. 15, Iss. 3, pp. 2609-2609
Open Access | Times Cited: 2
Aerosol Absorption Over Land Derived From the Ultra-Violet Aerosol Index by Deep Learning
Jiyunting Sun, Pepijn Veefkind, P. van Velthoven, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2021) Vol. 14, pp. 9692-9710
Open Access | Times Cited: 5
Estimation of Aerosol Radiative Forcing Using Deep Learning Technique
Seong-Hun Pyo, Kwon‐Ho Lee
Journal of Korean Society for Atmospheric Environment (2022) Vol. 38, Iss. 5, pp. 669-686
Closed Access | Times Cited: 3
Atmospheric Aerosol Prediction over Egypt with LSTM-RNN using NASA’s MERRA-2
Muhammed Eltahan, Karim Moharm
2020 2nd Novel Intelligent and Leading Emerging Sciences Conference (NILES) (2020), pp. 93-98
Closed Access | Times Cited: 3
A Neural Network-Based Atmospheric Correction Algorithm for GOCI Imagery Over Coastal Waters
Jilin Men, Tianle Yao, Can Yang, et al.
IEEE Transactions on Geoscience and Remote Sensing (2023) Vol. 62, pp. 1-16
Closed Access | Times Cited: 1
Wide and Deep Learning Model for Satellite-Based Real-Time Aerosol Retrievals in China
Nana Luo, Junxiao Zou, Zhou Zang, et al.
Atmosphere (2024) Vol. 15, Iss. 5, pp. 564-564
Open Access
Analysis of Atmospheric Aerosol Changes in the Qinghai-Tibetan Plateau Region during 2009–2019 Using a New Fusion Algorithm
Zhijian Zhao, Hideyuki Tonooka
Atmosphere (2024) Vol. 15, Iss. 6, pp. 712-712
Open Access
KO-Shadow: KnOwledge-driven Shadow Progressive Removal Framework for Very High Spatial Resolution Remote-Sensing Imagery
Yang Yang, Mingqiang Guo, Qiqi Zhu, et al.
IEEE Transactions on Geoscience and Remote Sensing (2024) Vol. 62, pp. 1-14
Closed Access
Enhanced AOD Retrieval Using Machine Learning Algorithms and Driving Forces Analysis During COVID-19 Lockdown
Lulu Si, Caiyun Deng, Ran Kang, et al.
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium (2024), pp. 5765-5769
Closed Access

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