Daeung Yoon

623 total citations
33 papers, 436 citations indexed

About

Daeung Yoon is a scholar working on Geophysics, Ocean Engineering and Artificial Intelligence. According to data from OpenAlex, Daeung Yoon has authored 33 papers receiving a total of 436 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Geophysics, 17 papers in Ocean Engineering and 6 papers in Artificial Intelligence. Recurrent topics in Daeung Yoon's work include Seismic Imaging and Inversion Techniques (16 papers), Geophysical and Geoelectrical Methods (13 papers) and Geophysical Methods and Applications (9 papers). Daeung Yoon is often cited by papers focused on Seismic Imaging and Inversion Techniques (16 papers), Geophysical and Geoelectrical Methods (13 papers) and Geophysical Methods and Applications (9 papers). Daeung Yoon collaborates with scholars based in South Korea, United States and Russia. Daeung Yoon's co-authors include Joongmoo Byun, Hyungsik Jung, Kyungbook Lee, Michael S. Zhdanov, Soon Jee Seol, Johan Mattsson, Jiho Park, Hongzhu Cai, Alexander Gribenko and Masashi Endo and has published in prestigious journals such as Geophysics, Applied Sciences and Journal of Petroleum Science and Engineering.

In The Last Decade

Daeung Yoon

31 papers receiving 424 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daeung Yoon South Korea 11 310 264 151 67 66 33 436
Soon Jee Seol South Korea 14 376 1.2× 498 1.9× 82 0.5× 75 1.1× 30 0.5× 81 559
Heidi Anderson Kuzma United States 8 177 0.6× 220 0.8× 71 0.5× 42 0.6× 32 0.5× 24 328
Xingjian Wang China 13 156 0.5× 290 1.1× 112 0.7× 40 0.6× 114 1.7× 52 417
Shihang Feng United States 9 154 0.5× 229 0.9× 63 0.4× 63 0.9× 45 0.7× 27 324
Christof Stork United States 13 316 1.0× 628 2.4× 174 1.2× 51 0.8× 43 0.7× 48 689
Yi-an Cui China 12 211 0.7× 274 1.0× 78 0.5× 44 0.7× 41 0.6× 55 377
Senlin Yang China 10 384 1.2× 530 2.0× 134 0.9× 135 2.0× 66 1.0× 26 630
Jiachun You China 12 131 0.4× 222 0.8× 120 0.8× 73 1.1× 102 1.5× 52 349
Huailai Zhou China 11 220 0.7× 370 1.4× 131 0.9× 74 1.1× 125 1.9× 45 474
Jie Qi United States 17 370 1.2× 625 2.4× 241 1.6× 133 2.0× 211 3.2× 50 745

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-authorship network of co-authors of Daeung Yoon

This figure shows the co-authorship network connecting the top 25 collaborators of Daeung Yoon. A scholar is included among the top collaborators of Daeung Yoon 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 Daeung Yoon. Daeung Yoon 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
1.
Yoon, Daeung, et al.. (2025). LUOR: A Framework for Language Understanding in Object Retrieval and Grasping. International Journal of Control Automation and Systems. 23(2). 530–540. 1 indexed citations
2.
Yoon, Daeung, et al.. (2024). Soil pollution with heavy metals in the vicinity of coal-fired power plants in Taean and Seocheon, Chungnam Province, South Korea. Environmental Geochemistry and Health. 47(1). 10–10. 1 indexed citations
3.
4.
Yu, Jiyun, et al.. (2024). Deep Learning in Geophysics: Current Status, Challenges, and Future Directions. Journal of the Korean Society of Mineral and Energy Resources Engineers. 61(1). 61–81.
5.
Yoon, Daeung, et al.. (2023). Integrating Deep Learning and Deterministic Inversion for Enhancing Fault Detection in Electrical Resistivity Surveys. Applied Sciences. 13(10). 6250–6250. 4 indexed citations
6.
Yoon, Daeung, et al.. (2023). Cross-Streamer Wavefield Reconstruction of a Towed Streamer System Using Bidirectional LSTM Networks With a Traces-to-Trace Approach. IEEE Geoscience and Remote Sensing Letters. 20. 1–5. 1 indexed citations
7.
Yoon, Daeung, et al.. (2023). Machine Learning for Flood Prediction in Indonesia: Providing Online Access for Disaster Management Control. Economic and Environmental Geology. 56(1). 65–73. 3 indexed citations
8.
Yoon, Daeung, et al.. (2022). Predicting As Contamination Risk in Red River Delta using Machine Learning Algorithms. Economic and Environmental Geology. 55(2). 127–135. 1 indexed citations
9.
Yoon, Daeung, et al.. (2020). Hyperparameter Search for Facies Classification with Bayesian Optimization. Geophysics and Geophysical Exploration. 23(3). 157–167. 3 indexed citations
10.
Yoon, Daeung, et al.. (2020). Spatial pseudo-labeling for semi-supervised facies classification. Journal of Petroleum Science and Engineering. 195. 107834–107834. 24 indexed citations
11.
Yoon, Daeung, et al.. (2020). Seismic Data Reconstruction Using Deep Bidirectional Long Short-Term Memory With Skip Connections. IEEE Geoscience and Remote Sensing Letters. 18(7). 1298–1302. 60 indexed citations
12.
Yoon, Daeung, et al.. (2019). Resistivity Imaging from Electromagnetic Data Using a Fully Convolutional Network. 81st EAGE Conference and Exhibition 2019. 1–5. 1 indexed citations
13.
Yoon, Daeung, et al.. (2019). Facies classification using semi-supervised deep learning with pseudo-labeling strategy. 3171–3175. 13 indexed citations
14.
Park, Jiho, Daeung Yoon, Soon Jee Seol, & Joongmoo Byun. (2019). Reconstruction of seismic field data with convolutional U-Net considering the optimal training input data. 4650–4654. 28 indexed citations
15.
Yoon, Daeung, et al.. (2019). Petrofacies characterization using best combination of multiple elastic properties. Journal of Petroleum Science and Engineering. 181. 106161–106161. 5 indexed citations
16.
17.
Yoon, Daeung, Michael S. Zhdanov, Johan Mattsson, Hongzhu Cai, & Alexander Gribenko. (2016). A hybrid finite-difference and integral-equation method for modeling and inversion of marine controlled-source electromagnetic data. Geophysics. 81(5). E323–E336. 24 indexed citations
18.
Zhdanov, Michael S., et al.. (2014). Anisotropic 3D inversion of towed-streamer electromagnetic data: Case study from the Troll West Oil Province. Interpretation. 2(3). SH97–SH113. 26 indexed citations
19.
20.
Yoon, Daeung & Michael S. Zhdanov. (2014). Optimal Synthetic Aperture Method for Marine Controlled-Source EM Surveys. IEEE Geoscience and Remote Sensing Letters. 12(2). 414–418. 10 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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