Dae‐Sung Bae

809 citations
21 papers · 575 · h-index 8

Impact in

Papers in

Dae‐Sung Bae

20 papers receiving 539 citations

Peers

Dae‐Sung Bae
Comparison fields: 5 of 50
  • Control and Systems Engineering 423
  • Automotive Engineering 107
  • Numerical Analysis 33
  • Mechanical Engineering 185
  • Civil and Structural Engineering 85
Replace Jan De Caigny with:
Jan De Caigny Belgium
Rudranarayan Mukherjee United States
Mohammad Poursina United States
Toshiji Kato Japan
D.K. Lindner United States
John Penny United Kingdom
An Li China
MC Turner United Kingdom
Aurelio Medina Mexico
Joaquı́n Collado Mexico
Dae‐Sung Bae relative to Jan De Caigny Belgium Jan De Caigny's profile →
Citations per field
00.5×2.7×
Jan De Caigny · 1×
Citations per year

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-authors

The 12 scholars most cited alongside Dae‐Sung Bae, 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 Dae‐Sung Bae Line = papers co-authored together Dae‐Sung Bae links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1987239
2 1987191
3 198850
4 199122
5 200916
6 200110
7 19917
8 20157
9 20166
10 20225
11 20174
12 20173
13 20163
14 20183
15 20153
16 20062
17
An Efficient Dynamics Analysis using a Parametric Generalized Coordinate
20081
18 20151
19 20111
20 20041

About Dae‐Sung Bae

Dae‐Sung Bae is a scholar working on Control and Systems Engineering, Mechanical Engineering, Civil and Structural Engineering, Automotive Engineering and Computational Theory and Mathematics, having authored 21 papers that have together received 575 indexed citations. Recurring topics across this work include Dynamics and Control of Mechanical Systems (11 papers), Vehicle Dynamics and Control Systems (4 papers), Robotic Mechanisms and Dynamics (4 papers), Real-time simulation and control systems (4 papers), Engineering Applied Research (3 papers), Railway Engineering and Dynamics (2 papers), Hydraulic and Pneumatic Systems (2 papers) and Mechanical stress and fatigue analysis (2 papers). The work is most often cited by research in Control and Systems Engineering (423 citations), Automotive Engineering (107 citations), Numerical Analysis (33 citations), Mechanical Engineering (185 citations) and Civil and Structural Engineering (85 citations). Dae‐Sung Bae has collaborated with scholars based in South Korea, United States and Ireland. Frequent 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 Changhee Lee. Their work appears in journals such as Ocean Engineering, SAE technical papers on CD-ROM/SAE technical paper series, International Journal for Numerical Methods in Engineering, Computer Methods in Applied Mechanics and Engineering and Multibody System Dynamics.

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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