Seongwoo Woo

659 citations
44 papers · 321 indexed · h-index 11
Topics
Fatigue and fracture mechanics (14 papers)Probabilistic and Robust Engineering Design (11 papers)Mechanical Failure Analysis and Simulation (11 papers)

In The Last Decade

Seongwoo Woo

40 papers receiving 304 citations

Peers

Seongwoo Woo
Comparison fields: 5 of 67
  • Mechanical Engineering 128
  • Biomedical Engineering 82
  • Cognitive Neuroscience 77
  • Radiology, Nuclear Medicine and Imaging 75
  • Mechanics of Materials 72
Replace Pranesh Krishnan with:
Pranesh Krishnan Malaysia
Nejra Beganović Germany
Flávio de Souza Barbosa Brazil
Fred M. Discenzo United States
Junjiang Zhu China
Xiaoyan Tong China
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Seongwoo Woo relative to Pranesh Krishnan Malaysia Pranesh Krishnan's profile →
Citations per field
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Citations per year

Countries citing papers authored by Seongwoo Woo

Since Specialization
Citations

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

Fields of papers citing papers by Seongwoo Woo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seongwoo Woo

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

All Works

20 of 20 papers shown
#WorkIndexed citations
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Classification of three categories from prefrontal cortex using LSTM networks: fNIRS study
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Reliability Design of the Hinge Kit System in Common Refrigerator Under Repetitive Load
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Reliability Design of the Newly Designed Reciprocating Compressor for a Refrigerator
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About Seongwoo Woo

Seongwoo Woo is a scholar working on Statistics, Probability and Uncertainty, Mechanics of Materials and Mechanical Engineering, having authored 44 papers that have together received 321 indexed citations. Recurring topics across this work include Fatigue and fracture mechanics (14 papers), Probabilistic and Robust Engineering Design (11 papers) and Mechanical Failure Analysis and Simulation (11 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (55 citations), Cognitive Neuroscience (77 citations) and Neurology (29 citations). Seongwoo Woo has collaborated with scholars based in United States, South Korea and Ethiopia. Frequent co-authors include Dennis L. O’Neal, Michael Pecht, Keum‐Shik Hong, Yong‐Il Shin, Jin A Yoon, Myung‐Jun Shin, Min‐Kyoung Kang, Jungwan Park, Yu. G. Matvienko and Dereje Engida Woldemichael. Their work appears in journals such as IEEE Access, Sustainability and Mechanical Systems and Signal Processing.

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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