Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Prediction of monthly Arctic sea ice concentrations using satellite and reanalysis data based on convolutional neural networks
Young Jun Kim, Hyun‐Cheol Kim, Daehyeon Han, et al.
˜The œcryosphere (2020) Vol. 14, Iss. 3, pp. 1083-1104
Open Access | Times Cited: 83

Showing 1-25 of 83 citing articles:

Seasonal Arctic sea ice forecasting with probabilistic deep learning
Tom R. Andersson, J. Scott Hosking, María Pérez‐Ortiz, et al.
Nature Communications (2021) Vol. 12, Iss. 1
Open Access | Times Cited: 165
ConvLSTM-Based Wave Forecasts in the South and East China Seas
Shuyi Zhou, Wenhong Xie, Yuxiang Lu, et al.
Frontiers in Marine Science (2021) Vol. 8
Open Access | Times Cited: 67
A Data-Driven Deep Learning Model for Weekly Sea Ice Concentration Prediction of the Pan-Arctic During the Melting Season
Yibin Ren, Xiaofeng Li, Wenhao Zhang
IEEE Transactions on Geoscience and Remote Sensing (2022) Vol. 60, pp. 1-19
Closed Access | Times Cited: 59
A Multi-Mode Convolutional Neural Network to reconstruct satellite-derived chlorophyll-a time series in the global ocean from physical drivers
Joana Roussillon, Ronan Fablet, Thomas Gorguès, et al.
Frontiers in Marine Science (2023) Vol. 10
Open Access | Times Cited: 26
Predicting the Daily Sea Ice Concentration on a Subseasonal Scale of the Pan-Arctic During the Melting Season by a Deep Learning Model
Yibin Ren, Xiaofeng Li
IEEE Transactions on Geoscience and Remote Sensing (2023) Vol. 61, pp. 1-15
Open Access | Times Cited: 25
Assessment of High‐Resolution Dynamical and Machine Learning Models for Prediction of Sea Ice Concentration in a Regional Application
Sindre Fritzner, Rune Grand Graversen, Kai H. Christensen
Journal of Geophysical Research Oceans (2020) Vol. 125, Iss. 11
Open Access | Times Cited: 54
Daily Prediction of the Arctic Sea Ice Concentration Using Reanalysis Data Based on a Convolutional LSTM Network
Quanhong Liu, Zhang Ren, Yangjun Wang, et al.
Journal of Marine Science and Engineering (2021) Vol. 9, Iss. 3, pp. 330-330
Open Access | Times Cited: 45
Semantic image segmentation for sea ice parameters recognition using deep convolutional neural networks
Chengqian Zhang, Xiao Dong Chen, Shunying Ji
International Journal of Applied Earth Observation and Geoinformation (2022) Vol. 112, pp. 102885-102885
Open Access | Times Cited: 31
A Spatiotemporal Multiscale Deep Learning Model for Subseasonal Prediction of Arctic Sea Ice
Qingyu Zheng, Ru Wang, Guijun Han, et al.
IEEE Transactions on Geoscience and Remote Sensing (2024) Vol. 62, pp. 1-22
Closed Access | Times Cited: 6
Data-Driven Short-Term Daily Operational Sea Ice Regional Forecasting
Timofey Grigoryev, Polina Verezemskaya, Mikhail Krinitskiy, et al.
Remote Sensing (2022) Vol. 14, Iss. 22, pp. 5837-5837
Open Access | Times Cited: 25
Predicting Sea Ice Concentration With Uncertainty Quantification Using Passive Microwave and Reanalysis Data: A Case Study in Baffin Bay
Xinwei Chen, Ray Valencia, Armina Soleymani, et al.
IEEE Transactions on Geoscience and Remote Sensing (2023) Vol. 61, pp. 1-13
Closed Access | Times Cited: 14
Subseasonal Prediction of Regional Antarctic Sea Ice by a Deep Learning Model
Yunhe Wang, Xiaojun Yuan, Yibin Ren, et al.
Geophysical Research Letters (2023) Vol. 50, Iss. 17
Open Access | Times Cited: 13
Sea Ice Extraction via Remote Sensing Imagery: Algorithms, Datasets, Applications and Challenges
Wenjun Huang, Anzhu Yu, Qing Xu, et al.
Remote Sensing (2024) Vol. 16, Iss. 5, pp. 842-842
Open Access | Times Cited: 5
Antarctic Sea Ice Prediction with A Convolutional Long Short-Term Memory Network
Xiaoran Dong, Qinghua Yang, Yafei Nie, et al.
Ocean Modelling (2024) Vol. 190, pp. 102386-102386
Open Access | Times Cited: 4
Recent developments of artificial intelligence methods for sea ice concentration monitoring using high-resolution imaging datasets
Marzuraikah Mohd Stofa, Siti Raihanah Abdani, Asraf Mohamed Moubark, et al.
Ecological Informatics (2025), pp. 103132-103132
Open Access
On Mathews Correlation Coefficient and Improved Distance Map Loss for Automatic Glacier Calving Front Segmentation in SAR Imagery
Amirabbas Davari, Saahil Islam, Thorsten Seehaus, et al.
IEEE Transactions on Geoscience and Remote Sensing (2021) Vol. 60, pp. 1-12
Open Access | Times Cited: 28
Prediction of Pan-Arctic Sea Ice Using Attention-Based LSTM Neural Networks
Jianfen Wei, Renlong Hang, Jing‐Jia Luo
Frontiers in Marine Science (2022) Vol. 9
Open Access | Times Cited: 21
Neural Network Prediction for Ice Shapes on Airfoils Using iceFoam Simulations
Sergei Strijhak, Daniil Ryazanov, К. Б. Кошелев, et al.
Aerospace (2022) Vol. 9, Iss. 2, pp. 96-96
Open Access | Times Cited: 20
A Bayesian Logistic Regression for Probabilistic Forecasts of the Minimum September Arctic Sea Ice Cover
Sean Horvath, Julienne Strœve, Balaji Rajagopalan, et al.
Earth and Space Science (2020) Vol. 7, Iss. 10
Open Access | Times Cited: 29
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
The Challenge of Arctic Sea Ice Thickness Prediction by ECMWF on Subseasonal Time Scales
Yongwu Xiu, Hao Luo, Qinghua Yang, et al.
Geophysical Research Letters (2022) Vol. 49, Iss. 8
Open Access | Times Cited: 17
Data-driven surrogate modeling of high-resolution sea-ice thickness in the Arctic
Charlotte Durand, Tobias Sebastian Finn, Alban Farchi, et al.
˜The œcryosphere (2024) Vol. 18, Iss. 4, pp. 1791-1815
Open Access | Times Cited: 3
Mapping Potential Plant Species Richness over Large Areas with Deep Learning, MODIS, and Species Distribution Models
Hyeyeong Choe, Junhwa Chi, James H. Thorne
Remote Sensing (2021) Vol. 13, Iss. 13, pp. 2490-2490
Open Access | Times Cited: 22
Seasonal Arctic sea ice forecasting with probabilistic deep learning
Tom R. Andersson, J. Scott Hosking, María Pérez‐Ortiz, et al.
EarthArXiv (California Digital Library) (2021)
Open Access | Times Cited: 22
Extended Range Arctic Sea Ice Forecast with Convolutional Long-Short Term Memory Networks
Yang Liu, Laurens Bogaardt, Jisk Attema, et al.
Monthly Weather Review (2021)
Open Access | Times Cited: 20
Page 1 - Next Page

Scroll to top