2026 Jianwei Ma: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	44	7614	7394	1002	996	157	7445

Overview

Jianwei Ma is affiliated with the Harbin Institute of Technology in China and has a research focus spanning Earth and Planetary Sciences, Engineering, and Computer Science. The scientist's work primarily advances knowledge in geophysics and its applications through interdisciplinary methods.

Their notable recent publications reflect this multifaceted research approach and include:

Deep Learning for Geophysics: Current and Future Trends, 2021, Reviews of Geophysics
Sensing prior constraints in deep neural networks for solving exploration geophysical problems, 2023, Proceedings of the National Academy of Sciences
FWIGAN: Full-Waveform Inversion via a Physics-Informed Generative Adversarial Network, 2023, Journal of Geophysical Research Solid Earth
Automatic velocity picking from semblances with a new deep-learning regression strategy: Comparison with a classification approach, 2020, Geophysics
Elastic isotropic and anisotropic full-waveform inversions using automatic differentiation for gradient calculations in a framework of recurrent neural networks, 2021, Geophysics

Jianwei Ma collaborates frequently with several researchers, including:

Siwei Yu
Fangshu Yang
Florian Boßmann
Yuhan Sui
Pierre Boué

The scientist's research has been published across various venues with multiple contributions, notably:

Geophysics
IEEE Transactions on Geoscience and Remote Sensing
Zenodo (CERN European Organization for Nuclear Research)
IEEE Geoscience and Remote Sensing Letters
Journal of Geophysical Research Machine Learning and Computation

Jianwei Ma's main fields of study include Earth and Planetary Sciences, with significant work also in Engineering and Computer Science. The scientist's subfields reflect a concentrated interest in Geophysics, Artificial Intelligence, Ocean Engineering, Computer Vision and Pattern Recognition, and Mechanical Engineering.

The primary topics addressed in their work are:

Seismic Imaging and Inversion Techniques
Seismic Waves and Analysis
Seismology and Earthquake Studies
Image and Signal Denoising Methods
Hydraulic Fracturing and Reservoir Analysis
Reservoir Engineering and Simulation Methods
Sparse and Compressive Sensing Techniques

Best Publications

The Curvelet Transform

Jianwei Ma;G. Plonka

560
Citations
Deep-learning inversion: A next-generation seismic velocity model building method

Fangshu Yang;Jianwei Ma

551
Citations
Deep learning for geophysics: Current and future trends

Siwei Yu;Jianwei Ma

462
Citations
Deep learning for denoising

Siwei Yu;Jianwei Ma;Wenlong Wang

379
Citations
Double Sparsity Dictionary for Seismic Noise Attenuation

Yangkang Chen;Jianwei Ma;Sergey B Fomel

238
Citations
What can machine learning do for seismic data processing? An interpolation application

Yongna Jia;Jianwei Ma

238
Citations
Simultaneous dictionary learning and denoising for seismic data

Simon Beckouche;Jianwei Ma

225
Citations
Combined Curvelet Shrinkage and Nonlinear Anisotropic Diffusion

Jianwei Ma;G. Plonka

211
Citations
Three-dimensional irregular seismic data reconstruction via low-rank matrix completion

Jianwei Ma

201
Citations
Single-Pixel Remote Sensing

Jianwei Ma

194
Citations
Deblurring From Highly Incomplete Measurements for Remote Sensing

Jianwei Ma;F.-X. Le Dimet

182
Citations
Can learning from natural image denoising be used for seismic data interpolation

Hao Zhang;Xiuyan Yang;Jianwei Ma

173
Citations
Interpolation and denoising of high-dimensional seismic data by learning a tight frame

Siwei Yu;Jianwei Ma;Xiaoqun Zhang;Mauricio D. Sacchi

159
Citations
Comparisons of wavelets, contourlets and curvelets in seismic denoising

Hao Shan;Jianwei Ma;Jianwei Ma;Huizhu Yang

154
Citations
Seismic data restoration via data-driven tight frame

Jingwei Liang;Jianwei Ma;Xiaoqun Zhang

124
Citations
CURVELET-WAVELET REGULARIZED SPLIT BREGMAN ITERATION FOR COMPRESSED SENSING

Gerlind Plonka;Jianwei Ma;Jianwei Ma

117
Citations
Improved Iterative Curvelet Thresholding for Compressed Sensing and Measurement

Jianwei Ma

109
Citations
Nonlinear Regularized Reaction-Diffusion Filters for Denoising of Images With Textures

G. Plonka;Jianwei Ma

106
Citations
Applications of Compressed Sensing for SAR Moving-Target Velocity Estimation and Image Compression

A. S. Khwaja;Jianwei Ma

101
Citations
Application of Total-Variation-Based Curvelet Shrinkage for Three-Dimensional Seismic Data Denoising

Gang Tang;Jianwei Ma

99
Citations
A new fuzzy c-means method with total variation regularization for segmentation of images with noisy and incomplete data

Yanyan He;M. Yousuff Hussaini;Jianwei Ma;Behrang Shafei

94
Citations
Seismic data reconstruction via matrix completion

Yi Yang;Jianwei Ma;Stanley Osher

94
Citations

Frequent Co-Authors

Yangkang Chen The University of Texas at Austin

Stanley Osher University of California, Los Angeles

Michael Unser École Polytechnique Fédérale de Lausanne

George A. McMechan The University of Texas at Dallas

Sergey Fomel The University of Texas at Austin

Xiangqian Jiang University of Huddersfield

Matthias P. Lutolf École Polytechnique Fédérale de Lausanne

Zhonglin Chen Harbin Institute of Technology

Jacques Verron Centre national de la recherche scientifique, CNRS

Fuzhai Cui Tsinghua University

External Links

Personal website of Jianwei Ma Google Scholar page

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