Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Hierarchical interlocked orthogonal faulting in the 2019 Ridgecrest earthquake sequence
2019346 citationsZachary E. Ross, Benjamín Idini et al.Scienceprofile →
Slow rupture in a fluid-rich fault zone initiated the 2024 Mw 7.5 Noto earthquake
202436 citationsSang‐Ho Yun et al.Scienceprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Sang‐Ho Yun'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 Sang‐Ho Yun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sang‐Ho Yun more than expected).
This network shows the impact of papers produced by Sang‐Ho Yun. 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 Sang‐Ho Yun. The network helps show where Sang‐Ho Yun may publish in the future.
Co-authorship network of co-authors of Sang‐Ho Yun
This figure shows the co-authorship network connecting the top 25 collaborators of Sang‐Ho Yun.
A scholar is included among the top collaborators of Sang‐Ho Yun 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 Sang‐Ho Yun. Sang‐Ho Yun is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Hua, Hook, S. E. Owen, Sang‐Ho Yun, et al.. (2017). Large-Scale Sentinel-1 Processing for Solid Earth Science and Urgent Response using Cloud Computing and Machine Learning. AGU Fall Meeting Abstracts. 2017.1 indexed citations
14.
Yun, Sang‐Ho, S. E. Owen, Hook Hua, et al.. (2017). Global Rapid Flood Mapping System with Spaceborne SAR Data. AGU Fall Meeting Abstracts. 2017.2 indexed citations
Agram, P. S., S. E. Owen, G. Manipon, et al.. (2016). ARIA: delivering state-of-the-art InSAR products for end users. AGUFM. 2016.1 indexed citations
17.
Owen, S. E., E. J. Fielding, Sang‐Ho Yun, et al.. (2015). The Advanced Rapid Imaging and Analysis (ARIA) Project's Response to the April 25, 2015 M7.8 Nepal Earthquake: Rapid Measurements and Models for Science and Situational Awareness. 2015 AGU Fall Meeting. 2015.1 indexed citations
18.
Hua, Hook, S. E. Owen, Sang‐Ho Yun, et al.. (2013). Integrating Remote Sensing Data, Hybrid-Cloud Computing, and Event Notifications for Advanced Rapid Imaging & Analysis (Invited). AGU Fall Meeting Abstracts. 2013.
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.