Young-Chul Bae

889 citations
112 papers · 639 · h-index 14

Impact in

Papers in

Young-Chul Bae

90 papers receiving 522 citations

Peers

Young-Chul Bae
Comparison fields: 5 of 75
  • Statistical and Nonlinear Physics 286
  • Modeling and Simulation 62
  • Public Health, Environmental and Occupational Health 153
  • Computer Networks and Communications 118
  • Control and Systems Engineering 82
Replace Zhaohui Yuan with:
Zhaohui Yuan China
Eduardo Mojica‐Nava Colombia
Fangzhou Liu China
Dan Huang China
Fernando Martínez Mexico
E. G. Hernández-Martínez Mexico
Feng Pan China
Tamás Péni Hungary
Mahdi Pourgholi Iran
Young-Chul Bae relative to Zhaohui Yuan China Zhaohui Yuan's profile →
Citations per field
00.5×5.2×
Zhaohui Yuan · 1×
Citations per year

Countries citing papers authored by Young-Chul Bae

Since Specialization
Citations

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

Fields of papers citing papers by Young-Chul Bae

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Young-Chul 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 Young-Chul Bae. The network helps show where Young-Chul Bae may publish in the future.

Co-authors

The 25 scholars most cited alongside Young-Chul 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 Young-Chul Bae Line = papers co-authored together Young-Chul Bae links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 112 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201332
2 201430
3 201823
4 200922
5 201422
6 201420
7 201820
8 201319
9 201418
10 200317
11 201916
12 201515
13 201415
14 201613
15 201413
16 201513
17 201412
18 201512
19 201711
20 201611

About Young-Chul Bae

Young-Chul Bae is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications, Control and Systems Engineering, Electrical and Electronic Engineering and Mechanical Engineering, having authored 112 papers that have together received 639 indexed citations. Recurring topics across this work include Chaos control and synchronization (30 papers), Mathematical and Theoretical Epidemiology and Ecology Models (13 papers), Robotics and Automated Systems (11 papers), Opinion Dynamics and Social Influence (10 papers), Modular Robots and Swarm Intelligence (8 papers), Network Time Synchronization Technologies (7 papers), Robotics and Sensor-Based Localization (7 papers) and Quantum chaos and dynamical systems (7 papers). The work is most often cited by research in Statistical and Nonlinear Physics (286 citations), Modeling and Simulation (62 citations), Public Health, Environmental and Occupational Health (153 citations), Computer Networks and Communications (118 citations) and Control and Systems Engineering (82 citations). Young-Chul Bae has collaborated with scholars based in South Korea, China and United States. Frequent co-authors include Jong-Kyu Park, Suk-Seung Hwang, Ju‐Wan Kim, Nak Yong Ko, Kwangseok Lee, Chen Li, Kwang-Heon Kim, Youngho Park, Hyun-Rok Cha and Dongjin Seo. Their work appears in journals such as International Journal of Fuzzy Systems, Energies, Sensors, International Journal of Fuzzy Logic and Intelligent Systems and Energy and AI.

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.

Explore authors with similar magnitude of impact