Fangshu Yang

862 total citations · 1 hit paper
10 papers, 621 citations indexed

About

Fangshu Yang is a scholar working on Geophysics, Ocean Engineering and Artificial Intelligence. According to data from OpenAlex, Fangshu Yang has authored 10 papers receiving a total of 621 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Geophysics, 7 papers in Ocean Engineering and 2 papers in Artificial Intelligence. Recurrent topics in Fangshu Yang's work include Seismic Imaging and Inversion Techniques (8 papers), Seismic Waves and Analysis (6 papers) and Drilling and Well Engineering (5 papers). Fangshu Yang is often cited by papers focused on Seismic Imaging and Inversion Techniques (8 papers), Seismic Waves and Analysis (6 papers) and Drilling and Well Engineering (5 papers). Fangshu Yang collaborates with scholars based in China, Australia and Germany. Fangshu Yang's co-authors include Jianwei Ma, Wenlong Wang, Jialin Ma, Harshit Gupta, Thanh-an Pham, Huadong Mo, Stefan Kollmannsberger, Michaël Unser, Jing Rao and E. Rank and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, Optics Express and Geophysics.

In The Last Decade

Fangshu Yang

10 papers receiving 611 citations

Hit Papers

Deep-learning inversion: A next-generation seismic veloci... 2019 2026 2021 2023 2019 100 200 300 400

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Fangshu Yang China 9 527 340 152 122 56 10 621
Wenlong Wang China 13 723 1.4× 417 1.2× 186 1.2× 131 1.1× 62 1.1× 25 814
Taylor Dahlke United States 5 530 1.0× 339 1.0× 159 1.0× 164 1.3× 43 0.8× 7 598
Qie Zhang United States 12 546 1.0× 244 0.7× 127 0.8× 80 0.7× 51 0.9× 20 630
Vladimir Kazei Saudi Arabia 15 679 1.3× 427 1.3× 161 1.1× 127 1.0× 36 0.6× 60 725
Senlin Yang China 10 530 1.0× 384 1.1× 134 0.9× 135 1.1× 66 1.2× 26 630
Nasher M. AlBinHassan United States 7 434 0.8× 323 0.9× 183 1.2× 102 0.8× 72 1.3× 16 505
Weijian Mao China 16 782 1.5× 363 1.1× 153 1.0× 106 0.9× 54 1.0× 84 917
Ying Rao China 16 624 1.2× 359 1.1× 174 1.1× 35 0.3× 98 1.8× 64 737
Jingye Li China 12 413 0.8× 230 0.7× 182 1.2× 45 0.4× 107 1.9× 68 499
Soon Jee Seol South Korea 14 498 0.9× 376 1.1× 82 0.5× 75 0.6× 30 0.5× 81 559

Countries citing papers authored by Fangshu Yang

Since Specialization
Citations

This map shows the geographic impact of Fangshu Yang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Fangshu Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fangshu Yang more than expected).

Fields of papers citing papers by Fangshu Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fangshu Yang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Fangshu Yang. The network helps show where Fangshu Yang may publish in the future.

Co-authorship network of co-authors of Fangshu Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Fangshu Yang. A scholar is included among the top collaborators of Fangshu Yang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Fangshu Yang. Fangshu Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Yang, Fangshu & Siwei Ma. (2025). Gabor wavelet-activation implicit neural learning for full-waveform inversion. Geophysics. 90(3). R71–R87. 1 indexed citations
2.
Yang, Fangshu & Jianwei Ma. (2023). FWIGAN: Full‐Waveform Inversion via a Physics‐Informed Generative Adversarial Network. Journal of Geophysical Research Solid Earth. 128(4). 42 indexed citations
3.
Yang, Fangshu & Jianwei Ma. (2023). Wasserstein Distance-Based Full-Waveform Inversion With a Regularizer Powered by Learned Gradient. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–13. 11 indexed citations
4.
Yang, Fangshu, et al.. (2023). Full-Waveform Inversion Using a Learned Regularization. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–15. 11 indexed citations
5.
Yang, Fangshu, et al.. (2022). Seismic Random Noise Attenuation via Self-Supervised Transfer Learning. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 29 indexed citations
6.
Rao, Jing, Fangshu Yang, Huadong Mo, Stefan Kollmannsberger, & E. Rank. (2022). Quantitative reconstruction of defects in multi-layered bonded composites using fully convolutional network-based ultrasonic inversion. Journal of Sound and Vibration. 542. 117418–117418. 21 indexed citations
7.
Yang, Fangshu, Thanh-an Pham, Harshit Gupta, Michaël Unser, & Jianwei Ma. (2020). Deep-learning projector for optical diffraction tomography. Optics Express. 28(3). 3905–3905. 20 indexed citations
8.
Yang, Fangshu & Jianwei Ma. (2019). Deep-learning inversion: A next-generation seismic velocity model building method. Geophysics. 84(4). R583–R599. 411 indexed citations breakdown →
9.
Yang, Fangshu, et al.. (2018). Automatic Salt Detection with Machine Learning. Proceedings. 18 indexed citations
10.
Wang, Wenlong, Fangshu Yang, & Jianwei Ma. (2018). Velocity model building with a modified fully convolutional network. 2086–2090. 57 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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