Guangfu Shao

418 total citations
10 papers, 348 citations indexed

About

Guangfu Shao is a scholar working on Geophysics, Ocean Engineering and Mechanical Engineering. According to data from OpenAlex, Guangfu Shao has authored 10 papers receiving a total of 348 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Geophysics, 3 papers in Ocean Engineering and 2 papers in Mechanical Engineering. Recurrent topics in Guangfu Shao's work include Seismic Waves and Analysis (6 papers), earthquake and tectonic studies (6 papers) and Seismic Imaging and Inversion Techniques (5 papers). Guangfu Shao is often cited by papers focused on Seismic Waves and Analysis (6 papers), earthquake and tectonic studies (6 papers) and Seismic Imaging and Inversion Techniques (5 papers). Guangfu Shao collaborates with scholars based in France, United States and Japan. Guangfu Shao's co-authors include Chen Ji, Takahiro Maeda, Xiangyu Li, Dapeng Zhao, Egill Hauksson, Ralph J. Archuleta, Pedro Páramo, Ping Wang, Rongxin Huang and Xu Zhao and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Geophysical Research Letters and Geophysical Journal International.

In The Last Decade

Guangfu Shao

10 papers receiving 335 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Guangfu Shao France	6	335	49	36	26	15	10	348
M. Cleveland United States	7	329 1.0×	83 1.7×	33 0.9×	19 0.7×	13 0.9×	13	337
Arantza Ugalde Spain	14	452 1.3×	60 1.2×	21 0.6×	34 1.3×	41 2.7×	42	505
Takao Eguchi Japan	10	370 1.1×	53 1.1×	28 0.8×	23 0.9×	6 0.4×	23	397
Jianling Cao China	9	374 1.1×	41 0.8×	16 0.4×	10 0.4×	7 0.5×	13	406
Kazuo Nakahigashi Japan	14	575 1.7×	86 1.8×	8 0.2×	14 0.5×	17 1.1×	35	595
Rigobert Tibi United States	14	626 1.9×	143 2.9×	20 0.6×	18 0.7×	16 1.1×	33	658
F. Kruger Germany	6	437 1.3×	60 1.2×	43 1.2×	21 0.8×	10 0.7×	7	458
Yih‐Hsiung Yeh Taiwan	12	462 1.4×	68 1.4×	28 0.8×	33 1.3×	11 0.7×	22	502
Masahiro Kosuga Japan	12	399 1.2×	60 1.2×	14 0.4×	8 0.3×	10 0.7×	37	405
O. Sufri United States	7	474 1.4×	70 1.4×	30 0.8×	16 0.6×	5 0.3×	9	491

Countries citing papers authored by Guangfu Shao

Since Specialization

Citations

This map shows the geographic impact of Guangfu Shao'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 Guangfu Shao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guangfu Shao more than expected).

Fields of papers citing papers by Guangfu Shao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Guangfu Shao. 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 Guangfu Shao. The network helps show where Guangfu Shao may publish in the future.

Co-authorship network of co-authors of Guangfu Shao

This figure shows the co-authorship network connecting the top 25 collaborators of Guangfu Shao. A scholar is included among the top collaborators of Guangfu Shao 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 Guangfu Shao. Guangfu Shao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

1.

Shao, Guangfu, et al.. (2020). FWI-driven orthorhombic modeling with OBS data for reservoir imaging offshore Trinidad. 745–749. 1 indexed citations

2.

Shao, Guangfu, et al.. (2017). Least-squares Q migration: The path to improved seismic resolution and amplitude fidelity. 4400–4404. 6 indexed citations

3.

Shao, Guangfu, et al.. (2017). Deblending OBC data with dual and triple simultaneous sources offshore Trinidad. 4914–4918. 4 indexed citations

4.

Shao, Guangfu, et al.. (2015). Premigration data anti-aliasing for reverse time migration. 4641–4645. 1 indexed citations

5.

Shao, Guangfu, et al.. (2014). Coseismic and potential early afterslip distribution of the 2009 Mw 6.3 L'Aquila, Italy earthquake. Geophysical Journal International. 199(1). 23–40. 21 indexed citations

6.

Shao, Guangfu, Chen Ji, & Egill Hauksson. (2012). Rupture process and energy budget of the 29 July 2008 M_w 5.4 Chino Hills, California, earthquake. Journal of Geophysical Research Atmospheres. 117(B7). 20 indexed citations

7.

Shao, Guangfu & Chen Ji. (2012). What the exercise of the SPICE source inversion validation BlindTest 1 did not tell you. Geophysical Journal International. 189(1). 569–590. 29 indexed citations

8.

Shao, Guangfu, Chen Ji, & Dapeng Zhao. (2011). Rupture process of the 9 March, 2011 Mw 7.4 Sanriku-Oki, Japan earthquake constrained by jointly inverting teleseismic waveforms, strong motion data and GPS observations. Geophysical Research Letters. 38(7). n/a–n/a. 32 indexed citations

9.

Shao, Guangfu, Xiangyu Li, Chen Ji, & Takahiro Maeda. (2011). Focal mechanism and slip history of the 2011 M w 9.1 off the Pacific coast of Tohoku Earthquake, constrained with teleseismic body and surface waves. Earth Planets and Space. 63(7). 559–564. 233 indexed citations

10.

Shao, Guangfu, et al.. (2010). A Slip model of the Feb 27, 2010 Mw 8.9 Maule, Chile Earthquake. EGU General Assembly Conference Abstracts. 15704. 1 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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