Dae‐Sung Bae

809 total citations
21 papers, 575 citations indexed

About

Dae‐Sung Bae is a scholar working on Control and Systems Engineering, Mechanical Engineering and Civil and Structural Engineering. According to data from OpenAlex, Dae‐Sung Bae has authored 21 papers receiving a total of 575 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Control and Systems Engineering, 6 papers in Mechanical Engineering and 5 papers in Civil and Structural Engineering. Recurrent topics in Dae‐Sung Bae's work include Dynamics and Control of Mechanical Systems (11 papers), Vehicle Dynamics and Control Systems (4 papers) and Robotic Mechanisms and Dynamics (4 papers). Dae‐Sung Bae is often cited by papers focused on Dynamics and Control of Mechanical Systems (11 papers), Vehicle Dynamics and Control Systems (4 papers) and Robotic Mechanisms and Dynamics (4 papers). Dae‐Sung Bae collaborates with scholars based in South Korea, United States and Ireland. Dae‐Sung Bae's co-authors include Edward J. Haug, Jon G. Kuhl, Sup Hong, Wonkyu Moon, Hyung-Woo Kim, Su‐gil Cho, Sung‐Soo Kim, Jung‐Yeul Jung, Chang-Ho Lee and Jeong‐Woo Park and has published in prestigious journals such as Computer Methods in Applied Mechanics and Engineering, International Journal for Numerical Methods in Engineering and SAE technical papers on CD-ROM/SAE technical paper series.

In The Last Decade

Dae‐Sung Bae

20 papers receiving 539 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dae‐Sung Bae South Korea 8 423 185 107 85 54 21 575
Mohammad Poursina United States 11 232 0.5× 97 0.5× 55 0.5× 46 0.5× 21 0.4× 50 357
Rudranarayan Mukherjee United States 10 183 0.4× 112 0.6× 32 0.3× 45 0.5× 23 0.4× 40 430
S. V. Emel'Yanov Russia 11 596 1.4× 84 0.5× 45 0.4× 26 0.3× 17 0.3× 55 745
An Li China 17 206 0.5× 85 0.5× 65 0.6× 19 0.2× 14 0.3× 92 918
Emmanuel Cruz‐Zavala Mexico 14 945 2.2× 105 0.6× 30 0.3× 22 0.3× 42 0.8× 38 1.0k
Jenq‐Lang Wu Taiwan 13 571 1.3× 40 0.2× 32 0.3× 36 0.4× 73 1.4× 53 666
Pauline Bernard France 14 517 1.2× 65 0.4× 27 0.3× 11 0.1× 82 1.5× 49 698
J.R. Winkelman United States 12 231 0.5× 69 0.4× 120 1.1× 12 0.1× 6 0.1× 37 475
Josep M. Olm Spain 14 505 1.2× 81 0.4× 53 0.5× 9 0.1× 14 0.3× 76 690
İbrahim Haskara United States 17 467 1.1× 156 0.8× 196 1.8× 8 0.1× 15 0.3× 48 722

Countries citing papers authored by Dae‐Sung Bae

Since Specialization
Citations

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

Fields of papers citing papers by Dae‐Sung Bae

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dae‐Sung Bae. 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 Dae‐Sung Bae. The network helps show where Dae‐Sung Bae may publish in the future.

Co-authorship network of co-authors of Dae‐Sung Bae

This figure shows the co-authorship network connecting the top 25 collaborators of Dae‐Sung Bae. A scholar is included among the top collaborators of Dae‐Sung Bae 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 Dae‐Sung Bae. Dae‐Sung Bae 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.
2.
Bae, Dae‐Sung, et al.. (2018). A Jacobian formulation for efficient simulation of multibody chain dynamics. Journal of Mechanical Science and Technology. 32(8). 3745–3754. 3 indexed citations
3.
Bae, Dae‐Sung, et al.. (2017). Accelerating implicit integration in multi-body dynamics using GPU computing. Multibody System Dynamics. 42(2). 169–195. 3 indexed citations
4.
Bae, Dae‐Sung, et al.. (2017). An improved direct linear equation solver using multi-GPU in multi-body dynamics. Advances in Engineering Software. 115. 87–102. 4 indexed citations
5.
Cho, Su‐gil, et al.. (2016). A Study on the Simulation-based Design for Optimum Arrangement of Buoyancy Modules in Marine Riser System. Journal of Ocean Engineering and Technology. 30(1). 10–17. 3 indexed citations
6.
Lee, Chang-Ho, et al.. (2015). Hydraulic Cylinder Design of Lifting Pump Mounting and Structural Safety Estimation of Mounting using Multi-body Dynamics. Journal of Ocean Engineering and Technology. 29(2). 120–127. 1 indexed citations
7.
Jung, Jung‐Yeul, et al.. (2015). Gap size effect on the tribological characteristics of the roller for deep-sea mining robot. Marine Georesources and Geotechnology. 35(1). 120–126. 7 indexed citations
8.
Bae, Dae‐Sung, et al.. (2015). Optimization of operating and assembling mass properties of solid elements on heterogeneous platforms using OpenCL framework. Journal of Mechanical Science and Technology. 29(7). 2631–2637. 3 indexed citations
9.
Park, Jeong‐Woo, et al.. (2011). Estimation of Nominal Frequency of Whangjongeum by Acoustical Analysis of Old Pyeongyeongs. The Journal of the Acoustical Society of Korea. 30(8). 421–427. 1 indexed citations
10.
Bae, Dae‐Sung, et al.. (2009). Sensitivity analysis of suspension characteristics for Korean high speed train. Journal of Mechanical Science and Technology. 23(4). 938–941. 16 indexed citations
11.
Bae, Dae‐Sung, et al.. (2008). An Efficient Dynamics Analysis using a Parametric Generalized Coordinate. 대한기계학회 춘추학술대회. 69–74. 1 indexed citations
12.
Bae, Dae‐Sung, et al.. (2006). Dynamic Modeling and Experiment of Military Tracked Vehicle. SAE technical papers on CD-ROM/SAE technical paper series. 1. 2 indexed citations
13.
Bae, Dae‐Sung, et al.. (2004). Track System Interactions Between the Track Link and the Ground. Transactions of the Korean Society of Mechanical Engineers A. 28(11). 1711–1718. 1 indexed citations
14.
Bae, Dae‐Sung, et al.. (2003). A Linearization Method for Constrained Mechanical System. Transactions of the Korean Society of Mechanical Engineers A. 27(8). 1303–1308.
15.
Bae, Dae‐Sung, et al.. (2001). Recursive formulas for design sensitivity analysis of mechanical systems. Computer Methods in Applied Mechanics and Engineering. 190(29-30). 3865–3879. 10 indexed citations
16.
Haug, Edward J., et al.. (1991). A decoupled flexible‐relative co‐ordinate recursive approach for flexible multibody dynamics. International Journal for Numerical Methods in Engineering. 32(8). 1669–1689. 7 indexed citations
17.
Bae, Dae‐Sung, et al.. (1991). A Recursive Formulation for Real-Time Dynamic Simulation of Mechanical Systems. Journal of Mechanical Design. 113(2). 158–166. 22 indexed citations
18.
Bae, Dae‐Sung, Jon G. Kuhl, & Edward J. Haug. (1988). A Recursive Formulation for Constrained Mechanical System Dynamics: Part III. Parallel Processor Implementation. Mechanics of Structures and Machines. 16(2). 249–269. 50 indexed citations
19.
Bae, Dae‐Sung & Edward J. Haug. (1987). A Recursive Formulation for Constrained Mechanical System Dynamics: Part II. Closed Loop Systems. Mechanics of Structures and Machines. 15(4). 481–506. 239 indexed citations
20.
Bae, Dae‐Sung & Edward J. Haug. (1987). A Recursive Formulation for Constrained Mechanical System Dynamics: Part I. Open Loop Systems. Mechanics of Structures and Machines. 15(3). 359–382. 191 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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