Euntai Kim

215 papers receiving 3.9k citations

Hit Papers

New approaches to relaxed quadratic stability condition o...20002026200820172000200400600

Peers

Euntai Kim
Comparison fields: 5 of 132
  • Control and Systems Engineering 1.5k
  • Computer Vision and Pattern Recognition 1.3k
  • Artificial Intelligence 1.2k
  • Computer Networks and Communications 856
  • Electrical and Electronic Engineering 655
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Erfu Yang United Kingdom
Uwe D. Hanebeck Germany
Dongbing Gu United Kingdom
Emmanuel G. Collins United States
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J. Zico Kolter United States
Jianqiang Yi China
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Euntai Kim relative to Erfu Yang United Kingdom Erfu Yang's profile →
Citations per field
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Erfu Yang · 1×
Citations per year

Countries citing papers authored by Euntai Kim

Since Specialization
Citations

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

Fields of papers citing papers by Euntai Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Euntai Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Euntai Kim. A scholar is included among the top collaborators of Euntai Kim 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 Euntai Kim. Euntai Kim 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 2
4 12
5 5
6 10
7 15
8 13
9 2
10 13
11 63
12 1
13
Ceiling vision based SLAM approach using sensor fusion of sonar sensor and monocular camera
4
14
Intelligent Systems for Future Vehicle
1
15
Fusion of multiple gait cycles for human identification
2
16 1
17
Adaptive Fuzzy Output Feedback Control for the Nonlinear Heating, Ventilating, and Air Conditioning System
4
18
Camera Calibration using the TSK fuzzy system
1
19
PCA based vehicle detection system for ACC
4
20
Numerical Robust Stability Analysis and Design of Fuzzy Feedback Linearization Regulator
2

About Euntai Kim

Euntai Kim is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Automotive Engineering, having authored 233 papers that have together received 4.1k indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (46 papers), Robotics and Sensor-Based Localization (45 papers) and Advanced Image and Video Retrieval Techniques (31 papers). The work is most often cited by research in Control and Systems Engineering (1.5k citations), Computer Vision and Pattern Recognition (1.3k citations) and Computer Networks and Communications (856 citations). Euntai Kim has collaborated with scholars based in South Korea, Spain and United States. Frequent co-authors include Heejin Lee, Mignon Park, Jae Pil Hwang, Hongje Seong, Sungjun Hong, Jun Ho Lee, Jeonghyun Baek, Wooyong Chung, Seongkeun Park and Jisu Kim. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Signal Processing and Expert Systems with Applications.

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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