Tae–Kyeong Yeu

436 total citations
52 papers, 339 citations indexed

About

Tae–Kyeong Yeu is a scholar working on Ocean Engineering, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Tae–Kyeong Yeu has authored 52 papers receiving a total of 339 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Ocean Engineering, 18 papers in Control and Systems Engineering and 13 papers in Computer Vision and Pattern Recognition. Recurrent topics in Tae–Kyeong Yeu's work include Underwater Vehicles and Communication Systems (20 papers), Robotic Path Planning Algorithms (13 papers) and Soil Mechanics and Vehicle Dynamics (5 papers). Tae–Kyeong Yeu is often cited by papers focused on Underwater Vehicles and Communication Systems (20 papers), Robotic Path Planning Algorithms (13 papers) and Soil Mechanics and Vehicle Dynamics (5 papers). Tae–Kyeong Yeu collaborates with scholars based in South Korea, United States and Japan. Tae–Kyeong Yeu's co-authors include Jong-Su Choi, Sup Hong, Shigeyasu Kawaji, Hyung-Woo Kim, Hyung Woo Kim, Tae Hee Lee, Chang-Ho Lee, Jongdae Jung, Jeonghong Park and Hyun‐Taek Choi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Ocean Engineering and International Journal of Precision Engineering and Manufacturing-Green Technology.

In The Last Decade

Tae–Kyeong Yeu

45 papers receiving 304 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tae–Kyeong Yeu South Korea 9 134 83 74 56 48 52 339
Zongyu Chang China 11 138 1.0× 128 1.5× 108 1.5× 61 1.1× 30 0.6× 55 369
Qingqing Xu China 8 68 0.5× 79 1.0× 107 1.4× 148 2.6× 60 1.3× 30 405
Christos Spandonidis Greece 10 69 0.5× 96 1.2× 76 1.0× 89 1.6× 28 0.6× 40 368
Khairul Alam United States 9 37 0.3× 137 1.7× 95 1.3× 46 0.8× 24 0.5× 28 358
Ahmed A. Adeniran Saudi Arabia 6 117 0.9× 105 1.3× 98 1.3× 46 0.8× 37 0.8× 9 314
G. Bernasconi Italy 10 31 0.2× 167 2.0× 102 1.4× 75 1.3× 69 1.4× 71 355
Lei Song China 12 73 0.5× 62 0.7× 68 0.9× 93 1.7× 28 0.6× 55 447
Guan Guan China 11 34 0.3× 131 1.6× 69 0.9× 44 0.8× 25 0.5× 33 294
Mohammed Islam Canada 11 78 0.6× 161 1.9× 60 0.8× 36 0.6× 81 1.7× 67 439

Countries citing papers authored by Tae–Kyeong Yeu

Since Specialization
Citations

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

Fields of papers citing papers by Tae–Kyeong Yeu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tae–Kyeong Yeu. 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 Tae–Kyeong Yeu. The network helps show where Tae–Kyeong Yeu may publish in the future.

Co-authorship network of co-authors of Tae–Kyeong Yeu

This figure shows the co-authorship network connecting the top 25 collaborators of Tae–Kyeong Yeu. A scholar is included among the top collaborators of Tae–Kyeong Yeu 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 Tae–Kyeong Yeu. Tae–Kyeong Yeu 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.
Yeu, Tae–Kyeong, et al.. (2025). Development of a Real-Time Track Solver for Digital Twin of the Underwater Tracked Vehicle. International Journal of Precision Engineering and Manufacturing-Green Technology. 12(3). 1023–1036. 1 indexed citations
2.
Jung, Jongdae, et al.. (2023). Consistent mapping of marine structures with an autonomous surface vehicle using motion compensation and submap-based filtering. Ocean Engineering. 290. 116418–116418. 3 indexed citations
3.
Yeu, Tae–Kyeong, et al.. (2023). Preliminary Study on Development of CPOS(Cyber Physical Operation System) for underwater robots. 1–4. 1 indexed citations
4.
Yeu, Tae–Kyeong, et al.. (2023). Development of HILS for Validation of Cyber Physical Operation System of Underwater Robot. Transactions of the Korean Society of Mechanical Engineers A. 47(10). 821–827.
5.
Yeu, Tae–Kyeong, et al.. (2023). Development of CPOS (Cyber Physical Operation System) Framework for Working-class Underwater Unmanned Robot - Perspective of Sensory Perception. Journal of Institute of Control Robotics and Systems. 29(11). 872–879.
6.
Yeu, Tae–Kyeong, et al.. (2022). A Simulation of Real-time Seabed Mapping using Multi-Beam Echo Sounder Measurement Model. Journal of Institute of Control Robotics and Systems. 28(5). 436–443. 1 indexed citations
7.
Jung, Jongdae, et al.. (2022). Multi-Modal Sonar Mapping of Offshore Cable Lines with an Autonomous Surface Vehicle. Journal of Marine Science and Engineering. 10(3). 361–361. 14 indexed citations
8.
Yeu, Tae–Kyeong, et al.. (2022). A Study on the Digital Twin Modeling of an Underwater Tracked Vehicle Based on the Multibody Dynamics. Journal of Institute of Control Robotics and Systems. 28(5). 427–435. 1 indexed citations
9.
Yeu, Tae–Kyeong, et al.. (2022). Development of Undercarriage of Underwater Rover with Driving Mechanism of Quad-track. Journal of Institute of Control Robotics and Systems. 28(5). 452–458. 2 indexed citations
10.
Yeu, Tae–Kyeong, et al.. (2019). Development of Robot Platform for Autonomous Underwater Intervention. SHILAP Revista de lepidopterología. 33(2). 168–177. 7 indexed citations
11.
Choi, Hyun‐Taek, et al.. (2018). Development of Underwater Laser Scanner with Efficient and Flexible Installation for Unmanned Underwater Vehicle. SHILAP Revista de lepidopterología. 32(6). 511–517. 4 indexed citations
12.
13.
Choi, Jong-Su, et al.. (2011). Probability distribution for the shear strength of seafloor sediment in the KR5 area for the development of manganese nodule miner. Ocean Engineering. 38(17-18). 2033–2041. 59 indexed citations
14.
Kim, Hyung-Woo, et al.. (2011). Dynamic Analysis of an Articulated Tracked Vehicle On Undulating And Inclined Ground. 4 indexed citations
15.
Choi, Jong-Su, Sup Hong, Tae Hee Lee, Hyung-Woo Kim, & Tae–Kyeong Yeu. (2009). Application Study on FMEA(Failure Mode and Effect Analysis) for Waterjet-lifter of Deep-Sea Manganese Nodule Miner. Journal of Ocean Engineering and Technology. 23(6). 32–38. 1 indexed citations
16.
Yeu, Tae–Kyeong, et al.. (2008). Development of Operating S/W and DBMS for Deep-sea Manganese Nodule Miner. Symposium on Experimental and Efficient Algorithms. 13(3). 229–236. 1 indexed citations
17.
Kim, Hyung-Woo, Sup Hong, Jong-Su Choi, & Tae–Kyeong Yeu. (2007). Multibody Dynamic Analysis of a Tracked Vehicle on Soft Cohesive Soil. Journal of Ocean Engineering and Technology. 21(1). 69–74. 4 indexed citations
18.
Yeu, Tae–Kyeong, et al.. (2007). An Experimental Study on Relationship of Tractive Force to Slip for Tracked Vehicle on Deep-sea Soft Sediment. Journal of Ocean Engineering and Technology. 21(1). 75–80. 5 indexed citations
19.
Kim, Hyung-Woo, et al.. (2005). Dynamic Analysis of Underwater Tracked Vehicle On Extremely Soft Soil By Using Euler Parameters. Journal of Ocean Engineering and Technology. 20(6). 93–100. 15 indexed citations
20.
Yeu, Tae–Kyeong, et al.. (2000). Fault Detection in Linear Descriptor Systems Via Unknown Input PI Observer. 2(2). 17–20. 21 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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