World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
69
Citations
13271
World Ranking
2009
National Ranking
1013

Overview

Yangkang Chen is affiliated with The University of Texas at Austin in the United States. Their research spans several fields, primarily focusing on Earth and Planetary Sciences, Engineering, and Computer Science. Within these broader disciplines, Chen has contributed extensively to subfields such as Geophysics, Artificial Intelligence, Ocean Engineering, Computer Vision and Pattern Recognition, and Mechanical Engineering.

Their scientific output addresses a range of topics, including:

  • Seismic Imaging and Inversion Techniques
  • Seismic Waves and Analysis
  • Seismology and Earthquake Studies
  • Image and Signal Denoising Methods
  • Hydraulic Fracturing and Reservoir Analysis
  • Drilling and Well Engineering
  • Geophysical Methods and Applications

Chen has an extensive publication record appearing frequently in key journals such as:

  • IEEE Transactions on Geoscience and Remote Sensing
  • Geophysics
  • Geophysical Journal International
  • Seismological Research Letters
  • Geophysical Prospecting

Recent representative papers authored or co-authored by Chen include:

  • "Automatic microseismic event picking via unsupervised machine learning," 2020, Geophysical Journal International
  • "Deep denoising autoencoder for seismic random noise attenuation," 2020, Geophysics
  • "Deep learning reservoir porosity prediction based on multilayer long short-term memory network," 2020, Geophysics
  • "Deep-learning seismic full-waveform inversion for realistic structural models," 2020, Geophysics
  • "A fully unsupervised and highly generalized deep learning approach for random noise suppression," 2020, Geophysical Prospecting

Collaborative efforts have involved frequent co-authors, including Omar M. Saad, Sergey Fomel, Liuqing Yang, Hang Wang, and Alexandros Savvaidis. These collaborations encompass multiple papers, indicating ongoing contributions to collective research across geophysical and computational domains.

Best Publications

  • Random noise attenuation using local signal-and-noise orthogonalization

    Yangkang Chen;Sergey B Fomel

  • Deep-Learning Inversion of Seismic Data

    Shucai Li;Bin Liu;Yuxiao Ren;Yangkang Chen

  • Iterative deblending of simultaneous-source seismic data using seislet-domain shaping regularization

    Yangkang Chen;Sergey B Fomel;Jingwei Hu

  • Random noise attenuation by f-x empirical mode decomposition predictive filtering

    Yangkang Chen;Jitao Ma

  • Damped multichannel singular spectrum analysis for 3D random noise attenuation

    Weilin Huang;Runqiu Wang;Yangkang Chen;Huijian Li

  • Simultaneous denoising and reconstruction of 5-D seismic data via damped rank-reduction method

    Yangkang Chen;Dong Zhang;Zhaoyu Jin;Xiaohong Chen

  • Applications of variational mode decomposition in seismic time-frequency analysis

    Wei Liu;Siyuan Cao;Yangkang Chen

  • Seismic Time–Frequency Analysis via Empirical Wavelet Transform

    Wei Liu;Siyuan Cao;Yangkang Chen

  • Double Sparsity Dictionary for Seismic Noise Attenuation

    Yangkang Chen;Jianwei Ma;Sergey B Fomel

  • Deep denoising autoencoder for seismic random noise attenuation

    Omar M. Saad;Yangkang Chen

  • Deep learning for seismic lithology prediction

    Guoyin Zhang;Zhizhang Wang;Yangkang Chen

  • Dealiased Seismic Data Interpolation Using Seislet Transform With Low-Frequency Constraint

    Shuwei Gan;Shoudong Wang;Yangkang Chen;Yizhuo Zhang

  • Fast dictionary learning for noise attenuation of multidimensional seismic data

    Yangkang Chen

  • Automatic microseismic event picking via unsupervised machine learning

    Yangkang Chen

  • Seismic imaging of incomplete data and simultaneous-source data using least-squares reverse time migration with shaping regularization

    Zhiguang Xue;Yangkang Chen;Sergey B Fomel;Junzhe Sun

  • EMD-seislet transform

    Yangkang Chen;Sergey Fomel

  • Empirical Low-Rank Approximation for Seismic Noise Attenuation

    Yangkang Chen;Yatong Zhou;Wei Chen;Shaohuan Zu

  • An open-source Matlab code package for improved rank-reduction 3D seismic data denoising and reconstruction

    Yangkang Chen;Weilin Huang;Dong Zhang;Wei Chen

  • A method for low-frequency noise suppression based on mathematical morphology in microseismic monitoring

    Huijian Li;Runqiu Wang;Siyuan Cao;Yangkang Chen

  • Compressive sensing for seismic data reconstruction via fast projection onto convex sets based on seislet transform

    Shuwei Gan;Shoudong Wang;Yangkang Chen;Xiaohong Chen

  • Simultaneous denoising and interpolation of 2D seismic data using data-driven non-negative dictionary learning

    Mohammad Amir Nazari Siahsar;Saman Gholtashi;Vahid Abolghasemi;Yangkang Chen

  • Damped Multichannel Singular Spectrum Analysis for 3D Random Noise Attenuation

    Weilin Huang;Runqui Wang;Ming Zhang;Yangkang Chen

Frequent Co-Authors

Sergey Fomel
Sergey Fomel The University of Texas at Austin
Jianwei Ma
Jianwei Ma Harbin Institute of Technology
Dimitri Komatitsch
Dimitri Komatitsch Aix-Marseille University
Douglas R. Schmitt
Douglas R. Schmitt Purdue University West Lafayette
Jeroen Tromp
Jeroen Tromp Princeton University
Xiang-Yang Li
Xiang-Yang Li China University of Petroleum, Beijing
Norbert Podhorszki
Norbert Podhorszki Oak Ridge National Laboratory

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