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:

Observation error covariance specification in dynamical systems for data assimilation using recurrent neural networks
Sibo Cheng, Mingming Qiu
Neural Computing and Applications (2021) Vol. 34, Iss. 16, pp. 13149-13167
Open Access | Times Cited: 19

Showing 19 citing articles:

Machine Learning With Data Assimilation and Uncertainty Quantification for Dynamical Systems: A Review
Sibo Cheng, César Quilodrán-Casas, Said Ouala, et al.
IEEE/CAA Journal of Automatica Sinica (2023) Vol. 10, Iss. 6, pp. 1361-1387
Open Access | Times Cited: 120
Data-driven surrogate model with latent data assimilation: Application to wildfire forecasting
Sibo Cheng, I. Colin Prentice, Yuhan Huang, et al.
Journal of Computational Physics (2022) Vol. 464, pp. 111302-111302
Open Access | Times Cited: 71
The Improved Winter Wheat Yield Estimation by Assimilating GLASS LAI Into a Crop Growth Model With the Proposed Bayesian Posterior-Based Ensemble Kalman Filter
Hai Huang, Jianxi Huang, Yantong Wu, et al.
IEEE Transactions on Geoscience and Remote Sensing (2023) Vol. 61, pp. 1-18
Closed Access | Times Cited: 68
Subsurface sedimentary structure identification using deep learning: A review
Chuanjun Zhan, Zhenxue Dai, Zhijie Yang, et al.
Earth-Science Reviews (2023) Vol. 239, pp. 104370-104370
Closed Access | Times Cited: 44
Parameter Flexible Wildfire Prediction Using Machine Learning Techniques: Forward and Inverse Modelling
Sibo Cheng, Yufang Jin, Sandy P. Harrison, et al.
Remote Sensing (2022) Vol. 14, Iss. 13, pp. 3228-3228
Open Access | Times Cited: 44
Review of Satellite Remote Sensing of Carbon Dioxide Inversion and Assimilation
Kai Hu, Xinyan Feng, Qi Zhang, et al.
Remote Sensing (2024) Vol. 16, Iss. 18, pp. 3394-3394
Open Access | Times Cited: 5
Efficient deep data assimilation with sparse observations and time-varying sensors
Sibo Cheng, Che Liu, Yike Guo, et al.
Journal of Computational Physics (2023) Vol. 496, pp. 112581-112581
Open Access | Times Cited: 15
Real-time updating of dynamic social networks for COVID-19 vaccination strategies
Sibo Cheng, Christopher C. Pain, Yike Guo, et al.
Journal of Ambient Intelligence and Humanized Computing (2023) Vol. 15, Iss. 3, pp. 1981-1994
Open Access | Times Cited: 12
The relationship between two methods for estimating uncertainties in data assimilation
Ricardo Todling, Noureddine Semane, Richard A. Anthes, et al.
Quarterly Journal of the Royal Meteorological Society (2022) Vol. 148, Iss. 747, pp. 2942-2954
Open Access | Times Cited: 15
CGNSDE: Conditional Gaussian Neural Stochastic Differential Equation for Modeling Complex Systems and Data Assimilation
Chuanqi Chen, Nan Chen, Jinlong Wu
Computer Physics Communications (2024) Vol. 304, pp. 109302-109302
Open Access | Times Cited: 2
Time-series benchmarks based on frequency features for fair comparative evaluation
Zhou Wu, Ruiqi Jiang
Neural Computing and Applications (2023) Vol. 35, Iss. 23, pp. 17029-17041
Open Access | Times Cited: 3
Dynamic Correction of Forest Fire Spread Prediction using Observation Error Covariance Matrix Estimation Technique based on FLC-GRU
Tianyu Wu, Qixing Zhang, Jiping Zhu, et al.
Research Square (Research Square) (2024)
Open Access
Sparse Estimation for Hamiltonian Mechanics
Yuya Note, Masahito Watanabe, Hiroaki Yoshimura, et al.
Mathematics (2024) Vol. 12, Iss. 7, pp. 974-974
Open Access
Neural Network as Transformation Function in Data Assimilation
Kun Wang, Matthew D. Piggott, Yanghua Wang, et al.
Lecture notes in computer science (2024), pp. 322-329
Closed Access
An adaptive variance adjusting strategy for the climatological background error covariance matrix based on deep reinforcement learning
Lilan Huang, Hongze Leng, Junqiang Song, et al.
Research Square (Research Square) (2024)
Open Access
Dynamic correction of forest fire spread prediction using observation error covariance matrix estimation technique based on FLC-GRU
Tianyu Wu, Qixing Zhang, Jiping Zhu, et al.
Fire Ecology (2024) Vol. 20, Iss. 1
Open Access
Special issue on deep learning for time series data
Ruizhe Ma, Rafal A. Angryk, Rafał Scherer
Neural Computing and Applications (2022) Vol. 34, Iss. 16, pp. 13147-13148
Open Access | Times Cited: 2
Reduced Order Surrogate Modelling and Latent Assimilation for Dynamical Systems
Sibo Cheng, César Quilodrán-Casas, Rossella Arcucci
Lecture notes in computer science (2022), pp. 31-44
Open Access | Times Cited: 2
Advancements and Challenges in Deep Learning-Driven Marine Data Assimilation: A Comprehensive Review
Yunsheng Ma, Dapeng Zhang, Yining Zhang, et al.
COMPUTATIONAL RESEARCH PROGRESS IN APPLIED SCIENCE & ENGINEERING (2023) Vol. 9, Iss. 4, pp. 1-17
Open Access
Page 1

Scroll to top