Jaehyun Jin

31 papers receiving 375 citations

Peers

Jaehyun Jin
Comparison fields: 5 of 36
  • Control and Systems Engineering 319
  • Aerospace Engineering 174
  • Mechanical Engineering 43
  • Artificial Intelligence 26
  • Astronomy and Astrophysics 23
Replace Maryam Malekzadeh with:
Maryam Malekzadeh Iran
Fabio Celani Italy
Qinglei Hu China
Shiyuan Jia China
Dae Young Lee United States
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Luiz Carlos Gadelha de Souza Brazil
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Jaehyun Jin relative to Maryam Malekzadeh Iran Maryam Malekzadeh's profile →
Citations per field
00.5×6.3×
Maryam Malekzadeh · 1×
Citations per year

Countries citing papers authored by Jaehyun Jin

Since Specialization
Citations

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

Fields of papers citing papers by Jaehyun Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jaehyun Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Jaehyun Jin. A scholar is included among the top collaborators of Jaehyun Jin 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 Jaehyun Jin. Jaehyun Jin 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
#WorkIndexed citations
1 1
2 0
3 1
4 2
5 2
6 0
7 4
8 0
9 1
10
Spacecraft dynamics and control simulation system based on LabVIEW software
2
11
Development of LabVIEW programs for simulating resonator gyros
2
12 2
13 3
14 1
15 36
16
A Robust PID Control Algorithm for a Servo Manipulator with Friction
1
17
Time-delayed State Estimator for Linear Systems with Unknown Inputs
16
18 14
19 54
20
Position and Force Control Based on Fuzzy Switching Algorithm
3

About Jaehyun Jin

Jaehyun Jin is a scholar working on Control and Systems Engineering, Aerospace Engineering and Fluid Flow and Transfer Processes, having authored 39 papers that have together received 396 indexed citations. Recurring topics across this work include Magnetic Bearings and Levitation Dynamics (11 papers), Adaptive Control of Nonlinear Systems (10 papers) and Fault Detection and Control Systems (8 papers). The work is most often cited by research in Control and Systems Engineering (319 citations), Aerospace Engineering (174 citations) and Statistics, Probability and Uncertainty (11 citations). Jaehyun Jin has collaborated with scholars based in South Korea, China and United States. Frequent co-authors include Chang-Kyung Ryoo, Sangho Ko, Min-Jea Tahk, Min-Jea Tahk, Henzeh Leeghim, Inseok Hwang, Hyochoong Bang, Chang‐Su Park, Donghoon Kim and Hyungjoo Yoon. Their work appears in journals such as IEEE Transactions on Aerospace and Electronic Systems, Journal of Guidance Control and Dynamics and International Journal of Control.

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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