Yanan Guo - RankMe

16 papers A* 1B 2Journal 9Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Novel Conditional Diffusion-Based Framework for Advanced Reconstruction of Cloud Vertical Structure. IEEE Geosci. Remote. Sens. Lett. Yanan Guo, Junqiang Song, Chuanfeng Zhao, Xiaoqun Cao, Hongze Leng, Yikun Yang
2026	J	`jnl`	A Physics-Guided Hierarchical Transformer Framework for Sea Surface Temperature Forecasting and Marine Heatwave Detection. IEEE Geosci. Remote. Sens. Lett. Yanan Guo, Junqiang Song, Xiaoqun Cao, Hongze Leng
2026	J	`jnl`	PGMNO: A physics-Guided mamba neural operator framework for partial differential equations. Neural Networks Yanan Guo, Junqiang Song, Xiaoqun Cao, Chuanfeng Zhao, Fukang Yin, Hongze Leng
2025	A*	`conf`	Data-Driven Super-Resolution Reconstruction of Quasi-Geostrophic Turbulence Via Enhanced Diffusion Model and Fourier Neural Operator. ICDM Yanan Guo, Junqiang Song, Xiaoqun Cao, Hongze Leng
2025	J	`jnl`	Enhancing Robustness of Variational Data Assimilation in Chaotic Systems: An α-4DVar Framework with Rényi Entropy and α-Generalized Gaussian Distributions. Entropy Yuchen Luo, Xiaoqun Cao, Kecheng Peng, Mengge Zhou, Yanan Guo
2025	—	`conf`	Solving Seismic Wave Propagation Using an Adaptive Collocation Point-Based Physics-Informed Neural Network. ICIC (21) Yanan Guo, Xiaoqun Cao, Mengge Zhou
2023	—	`conf`	An Efficient Approximation Method Based on Enhanced Physics-Informed Neural Networks for Solving Localized Wave Solutions of PDEs. ICANN (5) Yanan Guo, Xiaoqun Cao, Kecheng Peng, Wei Dong, Wenlong Tian, Mengge Zhou
2023	B	`conf`	Application of Improved Physics-Informed Deep Learning Based on Activation Function for Solving Nonlinear Soliton Equation. IJCNN Yanan Guo, Xiaoqun Cao, Kecheng Peng
2023	B	`conf`	Learning Rogue Waves of Nonlinear Schrödinger Equation with Enhanced Physics-Informed Neural Networks Simulator. SMC Yanan Guo, Xiaoqun Cao, Wei Dong, Kecheng Peng, Wenlong Tian, Mengge Zhou
2023	—	`conf`	Solving Localized Wave Solutions of the Nonlinear PDEs Using Physics-Constraint Deep Learning Method. ICONIP (7) Yanan Guo, Xiaoqun Cao, Mengge Zhou, Kecheng Peng, Wenlong Tian
2023	—	`conf`	Surrogate Modeling for Soliton Wave of Nonlinear Partial Differential Equations via the Improved Physics-Informed Deep Learning. ICIC (2) Yanan Guo, Xiaoqun Cao, Kecheng Peng, Wenlong Tian, Mengge Zhou
2021	J	`jnl`	Ensemble Empirical Mode Decomposition with Adaptive Noise with Convolution Based Gated Recurrent Neural Network: A New Deep Learning Model for South Asian High Intensity Forecasting. Symmetry Kecheng Peng, Xiaoqun Cao, Bainian Liu, Yanan Guo, Wenlong Tian
2021	J	`jnl`	Polar Vortex Multi-Day Intensity Prediction Relying on New Deep Learning Model: A Combined Convolution Neural Network with Long Short-Term Memory Based on Gaussian Smoothing Method. Entropy Kecheng Peng, Xiaoqun Cao, Bainian Liu, Yanan Guo, Chaohao Xiao, Wenlong Tian
2020	J	`jnl`	Cloud Detection for Satellite Imagery Using Attention-Based U-Net Convolutional Neural Network. Symmetry Yanan Guo, Xiao-Qun Cao, Bainian Liu, Mei Gao
2020	J	`jnl`	El Niño Index Prediction Using Deep Learning with Ensemble Empirical Mode Decomposition. Symmetry Yanan Guo, Xiao-Qun Cao, Bainian Liu, Kecheng Peng
2020	J	`jnl`	Variational Principles for Two Kinds of Coupled Nonlinear Equations in Shallow Water. Symmetry Xiao-Qun Cao, Yanan Guo, Shi-Cheng Hou, Cheng-Zhuo Zhang, Ke-Cheng Peng

Kai Greshake, Sahar Abdelnabi, Shailesh Mishra, Christoph Endres, Thorsten Holz, Mario Fritz