Fangshu Yang

862 citations
10 papers · 621 indexed · 1 hit paper · h-index 9
Topics
Seismic Imaging and Inversion Techniques (8 papers)Seismic Waves and Analysis (6 papers)Drilling and Well Engineering (5 papers)
Partner nations
ChinaAustraliaGermany

In The Last Decade

Fangshu Yang

10 papers receiving 611 citations

Hit Papers

Deep-learning inversion: A next-generation seismic veloci...20192026202120232019100200300400

Peers

Fangshu Yang
Comparison fields: 5 of 52
  • Geophysics 527
  • Ocean Engineering 340
  • Mechanical Engineering 152
  • Artificial Intelligence 122
  • Mechanics of Materials 56
Replace Vladimir Kazei with:
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Wenlong Wang China
Nasher M. AlBinHassan United States
Taylor Dahlke United States
Qie Zhang United States
Senlin Yang China
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Huailai Zhou China
Soon Jee Seol South Korea
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Fangshu Yang relative to Vladimir Kazei Saudi Arabia Vladimir Kazei's profile →
Citations per field
00.5×1.6×
Vladimir Kazei · 1×
Citations per year

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
#WorkIndexed citations
1 1
2 42
3 11
4 11
5 29
6 21
7 20
8
Deep-learning inversion: A next-generation seismic velocity model building methodbreakdown →
411
9 18
10 57

About Fangshu Yang

Fangshu Yang is a scholar working on Geophysics, Ocean Engineering and Computer Graphics and Computer-Aided Design, having authored 10 papers that have together received 621 indexed citations. Recurring topics across this work include Seismic Imaging and Inversion Techniques (8 papers), Seismic Waves and Analysis (6 papers) and Drilling and Well Engineering (5 papers). The work is most often cited by research in Geophysics (527 citations), Ocean Engineering (340 citations) and Mechanical Engineering (152 citations). Fangshu Yang has collaborated with scholars based in China, Australia and Germany. Frequent 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. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, Optics Express and Geophysics.

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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