Dong‐Jin Yoon

1.4k total citations
66 papers, 1.2k citations indexed

About

Dong‐Jin Yoon is a scholar working on Mechanics of Materials, Mechanical Engineering and Civil and Structural Engineering. According to data from OpenAlex, Dong‐Jin Yoon has authored 66 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Mechanics of Materials, 26 papers in Mechanical Engineering and 25 papers in Civil and Structural Engineering. Recurrent topics in Dong‐Jin Yoon's work include Ultrasonics and Acoustic Wave Propagation (15 papers), Smart Materials for Construction (14 papers) and Non-Destructive Testing Techniques (13 papers). Dong‐Jin Yoon is often cited by papers focused on Ultrasonics and Acoustic Wave Propagation (15 papers), Smart Materials for Construction (14 papers) and Non-Destructive Testing Techniques (13 papers). Dong‐Jin Yoon collaborates with scholars based in South Korea, United States and United Kingdom. Dong‐Jin Yoon's co-authors include Joung‐Man Park, Jung‐Ryul Lee, Surendra P. Shah, Jason Weiss, Il‐Bum Kwon, Yong‐Hak Huh, Jin-Won Kim, Chen Ciang Chia, K. Lawrence DeVries and Sung‐Ju Kim and has published in prestigious journals such as Journal of Colloid and Interface Science, Optics Express and Composites Science and Technology.

In The Last Decade

Dong‐Jin Yoon

62 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dong‐Jin Yoon South Korea 21 499 383 378 250 200 66 1.2k
Zhifang Zhang China 22 520 1.0× 544 1.4× 275 0.7× 354 1.4× 207 1.0× 86 1.4k
Matthieu Grésil United Kingdom 22 821 1.6× 501 1.3× 507 1.3× 183 0.7× 263 1.3× 90 1.5k
Marc Kreutzbruck Germany 23 840 1.7× 298 0.8× 681 1.8× 304 1.2× 251 1.3× 148 1.6k
Vivek T. Rathod India 11 471 0.9× 218 0.6× 278 0.7× 204 0.8× 122 0.6× 40 970
Tyler N. Tallman United States 18 254 0.5× 272 0.7× 252 0.7× 456 1.8× 139 0.7× 73 1.0k
Hideaki Murayama Japan 21 358 0.7× 344 0.9× 278 0.7× 952 3.8× 137 0.7× 105 1.5k
Kiyoshi Uzawa Japan 16 323 0.6× 118 0.3× 255 0.7× 244 1.0× 79 0.4× 63 944
Andreas J. Brunner Switzerland 27 1.9k 3.7× 608 1.6× 693 1.8× 135 0.5× 216 1.1× 100 2.4k
Xiaojun Chen China 19 585 1.2× 521 1.4× 226 0.6× 286 1.1× 393 2.0× 49 1.3k
Jifeng Zhang China 22 591 1.2× 281 0.7× 685 1.8× 76 0.3× 231 1.2× 71 1.4k

Countries citing papers authored by Dong‐Jin Yoon

Since Specialization
Citations

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

Fields of papers citing papers by Dong‐Jin Yoon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dong‐Jin Yoon

This figure shows the co-authorship network connecting the top 25 collaborators of Dong‐Jin Yoon. A scholar is included among the top collaborators of Dong‐Jin 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 Dong‐Jin Yoon. Dong‐Jin 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, Dong‐Jin, et al.. (2024). Experimental Verification on Deep Learning based Monitoring Algorithms for Early Detection of Damage in Buried Pipelines. e-Journal of Nondestructive Testing. 29(7).
2.
3.
Yoon, Dong‐Jin, et al.. (2020). Experimental Verification of Impact Damage Detection in Long Range Buried Water Supply Pipeline. Journal of the Korean Society for Nondestructive Testing. 40(4). 241–250. 3 indexed citations
4.
Yoon, Dong‐Jin, et al.. (2016). Impact Source Location on Composite CNG Storage Tank Using Acoustic Emission Energy Based Signal Mapping Method. Journal of the Korean Society for Nondestructive Testing. 36(5). 391–398. 2 indexed citations
5.
Yoon, Dong‐Jin, et al.. (2014). Improved Estimation of Leak Location of Pipelines Using Frequency Band Variation. Journal of the Korean Society for Nondestructive Testing. 34(1). 44–52. 4 indexed citations
6.
Yoon, Dong‐Jin, et al.. (2013). Damage assessment of wind turbine blade under static loading test using acoustic emission. Journal of Intelligent Material Systems and Structures. 25(5). 621–630. 31 indexed citations
7.
Yoon, Dong‐Jin, et al.. (2011). Damage Detection Method of Wind Turbine Blade Using Acoustic Emission Signal Mapping. Journal of the Korean Society for Nondestructive Testing. 31(1). 68–76. 1 indexed citations
8.
Kim, Yong‐Il, Dong‐Jin Yoon, Seung‐Seok Lee, Yun‐Hee Lee, & Ki-Bok Kim. (2011). Application of laser-induced breakdown spectroscopy for detecting leakage of boric acid. NDT & E International. 44(3). 311–314. 8 indexed citations
9.
Hwang, Dusun, Dong‐Jin Yoon, Il‐Bum Kwon, Dae-Cheol Seo, & Youngjoo Chung. (2010). Novel auto-correction method in a fiber-optic distributed-temperature sensor using reflected anti-Stokes Raman scattering. Optics Express. 18(10). 9747–9747. 71 indexed citations
10.
Lee, Jung‐Ryul, et al.. (2010). Investigation of cladding and coating stripping methods for specialty optical fibers. Optics and Lasers in Engineering. 49(3). 324–330. 17 indexed citations
11.
Park, Joung‐Man, et al.. (2007). Inherent sensing and interfacial evaluation of carbon nanofiber and nanotube/epoxy composites using electrical resistance measurement and micromechanical technique. Composites Part B Engineering. 38(7-8). 847–861. 87 indexed citations
12.
Yoon, Dong‐Jin & Philip Park. (2006). ASSESSMENT OF CRACK ACTIVITY BY ACOUSTIC EMISSION IN CONCRETE STRUCTURES. 4 indexed citations
13.
Yoon, Dong‐Jin, et al.. (2005). Forming Technology for Cold Forging Processes of Ball Stud Using Non-Heat-Treated Cold Forging Materials. Materials science forum. 475-479. 3247–3250. 2 indexed citations
14.
Kang, Ho, et al.. (2005). Pattern Classification of Acoustic Emission Signals during Wood Drying by Principal Component Analysis and Artificial Neural Network. Key engineering materials. 297-300. 1962–1967. 21 indexed citations
15.
16.
Lee, Young Sup, et al.. (2004). Leak Location Identification of Water Pipes Using Elastic Waves. Key engineering materials. 270-273. 965–970. 1 indexed citations
17.
Yoon, Dong‐Jin, et al.. (2003). Leak Location Detection of Underground Water Pipes using Acoustic Emission and Acceleration Signals. Journal of the Korean Society for Nondestructive Testing. 23(3). 227–236. 2 indexed citations
18.
Park, Joung‐Man, et al.. (2003). Interfacial evaluation of electrodeposited single carbon fiber/epoxy composites by fiber fracture source location using fragmentation test and acoustic emission. Composites Science and Technology. 64(7-8). 983–999. 27 indexed citations
19.
Park, Joung‐Man, Jin-Won Kim, & Dong‐Jin Yoon. (2002). Comparison of Interfacial Properties of Electrodeposited Single Carbon Fiber/Epoxy Composites Using Tensile and Compressive Fragmentation Tests and Acoustic Emission. Journal of Colloid and Interface Science. 247(1). 231–245. 18 indexed citations
20.
Park, Joung‐Man, Yeongmin Kim, Ki-Won Kim, & Dong‐Jin Yoon. (2000). Interfacial Aspects of Electrodeposited Carbon Fiber-Reinforced Epoxy Composites Using Monomeric and Polymeric Coupling Agents. Journal of Colloid and Interface Science. 231(1). 114–128. 41 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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