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:

Retrieval of daily sea ice thickness from AMSR2 passive microwave data using ensemble convolutional neural networks
Junhwa Chi, Hyun‐Cheol Kim
GIScience & Remote Sensing (2021) Vol. 58, Iss. 6, pp. 812-830
Open Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

High-Resolution Seamless Daily Sea Surface Temperature Based on Satellite Data Fusion and Machine Learning over Kuroshio Extension
Sihun Jung, Cheolhee Yoo, Jungho Im
Remote Sensing (2022) Vol. 14, Iss. 3, pp. 575-575
Open Access | Times Cited: 33

A multi-frequency altimetry snow depth product over Arctic sea ice
Alice Carret, Sara Fleury, Alessandro Di Bella, et al.
Scientific Data (2025) Vol. 12, Iss. 1
Open Access

A novel graph convolution and frequency domain filtering approach for hyperspectral anomaly detection
Yang Ding, Hao Yan, Jingyuan He, et al.
Complex & Intelligent Systems (2025) Vol. 11, Iss. 1
Open Access

Advancing Arctic Sea Ice Remote Sensing with AI and Deep Learning: Opportunities and Challenges
Wenwen Li, Chia-Yu Hsu, Marco Tedesco
Remote Sensing (2024) Vol. 16, Iss. 20, pp. 3764-3764
Open Access | Times Cited: 3

Two-Stream Convolutional Long- and Short-Term Memory Model Using Perceptual Loss for Sequence-to-Sequence Arctic Sea Ice Prediction
Junhwa Chi, Jihyun Bae, Young-Joo Kwon
Remote Sensing (2021) Vol. 13, Iss. 17, pp. 3413-3413
Open Access | Times Cited: 23

GBDT Method Integrating Feature-Enhancement and Active-Learning Strategies—Sea Ice Thickness Inversion in Beaufort Sea
Yanling Han, Junjie Huang, Zhenling Ma, et al.
Sensors (2024) Vol. 24, Iss. 9, pp. 2836-2836
Open Access | Times Cited: 2

Key factors for quantitative precipitation nowcasting using ground weather radar data based on deep learning
Daehyeon Han, Jungho Im, Yeji Shin, et al.
Geoscientific model development (2023) Vol. 16, Iss. 20, pp. 5895-5914
Open Access | Times Cited: 5

An improved algorithm for retrieving thin sea ice thickness in the Arctic Ocean from SMOS and SMAP L-band radiometer data
Lian He, Senwen Huang, Fengming Hui, et al.
Acta Oceanologica Sinica (2024) Vol. 43, Iss. 3, pp. 127-138
Closed Access | Times Cited: 1

Partial Label Learning With Focal Loss for Sea Ice Classification Based on Ice Charts
Behzad Vahedi, Benjamín Lucas, Farnoush Banaei‐Kashani, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2024) Vol. 17, pp. 13616-13633
Open Access | Times Cited: 1

Winter arctic sea ice volume decline: uncertainties reduced using passive microwave-based sea ice thickness
Clément Soriot, Martin Vancoppenolle, Catherine Prigent, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1

Arctic Sea Ice Thickness Estimation From Passive Microwave Satellite Observations Between 1.4 and 36 GHz
Clément Soriot, Catherine Prigent, Carlos Jimenez, et al.
Earth and Space Science (2022) Vol. 10, Iss. 2
Open Access | Times Cited: 6

Satellite microwave remote sensing of the Arctic sea ice. Review
E.V. Zabolotskikh, K. Khvorostovsky, M.A. Zhivotovskaya, et al.
Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa (2023) Vol. 20, Iss. 1, pp. 9-34
Open Access | Times Cited: 2

Enhance tensor RPCA-LRX anomaly detection algorithm for hyperspectral image
A Ruhan, Xiaodong Mu, Jingyuan He, et al.
Geocarto International (2022) Vol. 37, Iss. 26, pp. 11976-11997
Closed Access | Times Cited: 3

Arctic Sea Ice Volume decline uncertainties reduced using Passive Microwave-based Sea Ice Thickness
Clément Soriot, Martin Vancoppenolle, Catherine Prigent, et al.
Research Square (Research Square) (2024)
Open Access

Estimation of the AMSR2 Data Potential to Retrieve the Arctic Sea Ice Thickness
Е. В. Заболотских, S. M. Azarov, Anastasiia Stokoz, et al.
2022 Photonics & Electromagnetics Research Symposium (PIERS) (2024), pp. 1-5
Closed Access

Deep Learning Methods for Producing the GLASS-AVHRR Surface Longwave Radiation Products
Jianglei Xu, Shunlin Liang
Elsevier eBooks (2024)
Closed Access

Lake ice-In situ measurements and remote sensing observation
Linan Guo, Xiaojun Yao, Qixin Wei, et al.
Elsevier eBooks (2024)
Closed Access

Estimation of Daily Arctic Winter Sea Ice Thickness from Thermodynamic Parameters Using a Self-Attention Convolutional Neural Network
Zeyu Liang, Qing Ji, Xiaoping Pang, et al.
Remote Sensing (2023) Vol. 15, Iss. 7, pp. 1887-1887
Open Access | Times Cited: 1

Estimation of summer pan-Arctic ice draft from satellite passive microwave observations
Jong‐Min Kim, Sang‐Woo Kim, Byung‐Ju Sohn, et al.
Remote Sensing of Environment (2023) Vol. 295, pp. 113662-113662
Open Access | Times Cited: 1

Concentration and thickness of sea ice in the Weddell Sea from SSM/I passive microwave radiometer data
Fernando Luis Hillebrand, Marcos Wellausen Dias de Freitas, Ulisses Franz Bremer, et al.
Anais da Academia Brasileira de Ciências (2023) Vol. 95, Iss. suppl 3
Open Access | Times Cited: 1

Comment on tc-2022-92
Lu Yang, Hongli Fu, Xiaofan Luo, et al.
(2022)
Open Access

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