Shanna Chu

424 total citations
11 papers, 279 citations indexed

About

Shanna Chu is a scholar working on Geophysics, Artificial Intelligence and Civil and Structural Engineering. According to data from OpenAlex, Shanna Chu has authored 11 papers receiving a total of 279 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Geophysics, 3 papers in Artificial Intelligence and 1 paper in Civil and Structural Engineering. Recurrent topics in Shanna Chu's work include earthquake and tectonic studies (10 papers), High-pressure geophysics and materials (6 papers) and Geological and Geochemical Analysis (4 papers). Shanna Chu is often cited by papers focused on earthquake and tectonic studies (10 papers), High-pressure geophysics and materials (6 papers) and Geological and Geochemical Analysis (4 papers). Shanna Chu collaborates with scholars based in United States, New Zealand and Germany. Shanna Chu's co-authors include Daniel T. Trugman, Victor C. Tsai, Carolin Boese, C. J. Chamberlain, Emily Warren‐Smith, Chet Hopp, John Townend, Greg Hirth, Rachel E. Abercrombie and A. Baltay and has published in prestigious journals such as Science, SHILAP Revista de lepidopterología and Geophysical Research Letters.

In The Last Decade

Shanna Chu

11 papers receiving 275 citations

Peers

Shanna Chu

GEOPH

AI

CSE

AMPO

BE

Takaki Iwata Japan

Brittany A. Erickson United States

Taro Yabuki Japan

Tomotake Ueno Japan

William H. K. Lee United States

T. H. Heaton United States

Yijian Zhou China

K. McCandless United States

Malcolm C. A. White United States

Takaki Iwata Japan

Shanna Chu

280 ×1.1

GEOPH

97 ×0.9

AI

55 ×1.3

CSE

4 ×0.3

AMPO

3 ×0.4

BE

Citations per year, relative to Shanna Chu Shanna Chu (= 1×) peers Takaki Iwata

Countries citing papers authored by Shanna Chu

Since Specialization

Citations

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

Fields of papers citing papers by Shanna Chu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shanna Chu

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

All Works

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11 of 11 papers shown

1.

Abercrombie, Rachel E., Xiaowei Chen, Yihe Huang, & Shanna Chu. (2025). Comparison of EGF Methods for Ridgecrest Sequence: Can EGFs Help Resolve Ambiguity in Isolating Source Spectra?. Bulletin of the Seismological Society of America. 115(3). 1132–1148. 2 indexed citations

2.

Baltay, A., Rachel E. Abercrombie, Shanna Chu, & T. Taira. (2024). The SCEC/USGS Community Stress Drop Validation Study Using the 2019 Ridgecrest Earthquake Sequence. SHILAP Revista de lepidopterología. 3(1). 35 indexed citations

3.

Chu, Shanna, A. Baltay, & Rachel E. Abercrombie. (2024). Characterizing Directivity in Small (M 2.4–5) Aftershocks of the Ridgecrest Sequence. Bulletin of the Seismological Society of America. 115(3). 1177–1188. 6 indexed citations

4.

Cochran, E. S., A. Baltay, Shanna Chu, et al.. (2024). SCEC/USGS Community Stress-Drop Validation Study: How Spectral Fitting Approaches Influence Measured Source Parameters. Bulletin of the Seismological Society of America. 115(3). 760–776. 10 indexed citations

5.

Chu, Shanna & Gregory C. Beroza. (2022). Aftershock productivity of intermediate-depth earthquakes in Japan. Geophysical Journal International. 230(1). 448–463. 10 indexed citations

6.

Trugman, Daniel T., Shanna Chu, & Victor C. Tsai. (2021). Earthquake Source Complexity Controls the Frequency Dependence of Near‐Source Radiation Patterns. Geophysical Research Letters. 48(17). 28 indexed citations

7.

Chu, Shanna, Victor C. Tsai, Daniel T. Trugman, & Greg Hirth. (2021). Fault Interactions Enhance High‐Frequency Earthquake Radiation. Geophysical Research Letters. 48(20). 32 indexed citations

8.

Tsai, Victor C., Greg Hirth, Daniel T. Trugman, & Shanna Chu. (2021). Impact Versus Frictional Earthquake Models for High‐Frequency Radiation in Complex Fault Zones. Journal of Geophysical Research Solid Earth. 126(8). 17 indexed citations

9.

Chu, Shanna, Gregory C. Beroza, & William L. Ellsworth. (2019). Source Parameter Variability of Intermediate‐Depth Earthquakes in Japanese Subduction Zones. Journal of Geophysical Research Solid Earth. 124(8). 8704–8725. 11 indexed citations

10.

Chamberlain, C. J., Chet Hopp, Carolin Boese, et al.. (2017). EQcorrscan: Repeating and Near‐Repeating Earthquake Detection and Analysis in Python. Seismological Research Letters. 89(1). 173–181. 110 indexed citations

11.

Fernandez, J.M., Shanna Chu, & Andrés F. Oberhauser. (2001). Pulling on Hair(pins). Science. 292(5517). 653–654. 18 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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