Daeung Yoon

645 citations
33 papers · 468 · h-index 11

Impact in

  • Geophysics top 5%
    • Seismic Imaging and Inversion Techniques
    • Geophysical and Geoelectrical Methods
    • Seismic Waves and Analysis
    • Reservoir Engineering and Simulation Methods
    • Geophysical Methods and Applications
    • Drilling and Well Engineering

Papers in

    • Seismic Imaging and Inversion Techniques 18
    • Geophysical and Geoelectrical Methods 13
    • Seismic Waves and Analysis 7
    • Geophysical Methods and Applications 10
    • Reservoir Engineering and Simulation Methods 8
    • Drilling and Well Engineering 4

Daeung Yoon

31 papers receiving 458 citations

Peers

Daeung Yoon
Comparison fields: 5 of 48
  • Geophysics 281
  • Ocean Engineering 321
  • Mechanical Engineering 157
  • Mechanics of Materials 70
  • Oceanography 30
Replace Qie Zhang with:
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Gulan Zhang China
Xingjian Wang China
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Citations per field
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Citations per year

Countries citing papers authored by Daeung Yoon

Since Specialization
Citations

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

Fields of papers citing papers by Daeung Yoon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Daeung Yoon, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daeung Yoon Line = papers co-authored together Daeung Yoon links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019120
2 202063
3 201945
4 201835
5 201929
6 202026
7 201425
8 201625
9 201914
10 201411
11 201810
12 20197
13 20207
14 20236
15 20166
16 20235
17 20195
18 20235
19 20114
20 20243

About Daeung Yoon

Daeung Yoon is a scholar working on Geophysics, Ocean Engineering, Artificial Intelligence, Mechanical Engineering and Oceanography, having authored 33 papers that have together received 468 indexed citations. Recurring topics across this work include Seismic Imaging and Inversion Techniques (18 papers), Geophysical and Geoelectrical Methods (13 papers), Geophysical Methods and Applications (10 papers), Reservoir Engineering and Simulation Methods (8 papers), Seismic Waves and Analysis (7 papers), Drilling and Well Engineering (4 papers), Hydraulic Fracturing and Reservoir Analysis (4 papers) and Heavy metals in environment (3 papers). The work is most often cited by research in Geophysics (281 citations), Ocean Engineering (321 citations), Mechanical Engineering (157 citations), Mechanics of Materials (70 citations) and Oceanography (30 citations). Daeung Yoon has collaborated with scholars based in South Korea, United States and Russia. Frequent co-authors include Joongmoo Byun, Hyungsik Jung, Kyungbook Lee, Michael S. Zhdanov, Soon Jee Seol, Johan Mattsson, Jiho Park, Hongzhu Cai, Alexander Gribenko and Martin Čuma. Their work appears in journals such as IEEE Geoscience and Remote Sensing Letters, Journal of Petroleum Science and Engineering, Applied Sciences, Geophysics and Environmental Geochemistry and Health.

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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