Kwang-Eun Ko

821 total citations
68 papers, 538 citations indexed

About

Kwang-Eun Ko is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Kwang-Eun Ko has authored 68 papers receiving a total of 538 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Cognitive Neuroscience, 21 papers in Computer Vision and Pattern Recognition and 17 papers in Signal Processing. Recurrent topics in Kwang-Eun Ko's work include EEG and Brain-Computer Interfaces (23 papers), Blind Source Separation Techniques (13 papers) and Face recognition and analysis (10 papers). Kwang-Eun Ko is often cited by papers focused on EEG and Brain-Computer Interfaces (23 papers), Blind Source Separation Techniques (13 papers) and Face recognition and analysis (10 papers). Kwang-Eun Ko collaborates with scholars based in South Korea, Bulgaria and Greece. Kwang-Eun Ko's co-authors include Kwee-Bo Sim, Seung Min Park, Jaehyeon Kang, Byeong‐Kwon Ju, Seung Min Park, Jeong‐Ho Lim, Jeong Hee Choi, Jung-Hoon Hwang, Young-Hwan Lee and Xinyang Yu and has published in prestigious journals such as Sensors, Computers and Electronics in Agriculture and Electronics Letters.

In The Last Decade

Kwang-Eun Ko

56 papers receiving 483 citations

Peers

Kwang-Eun Ko

CVPR

ECP

Rajdeep Chatterjee India

Lun Xie China

Pilar Gómez‐Gil Mexico

Fawad Fawad Pakistan

Natheer Khasawneh Jordan

Kwang‐Seok Hong South Korea

Deepak Ghimire South Korea

Tongguang Ni China

Venkata Krishna Kishore Kolli India

M. Rizon Malaysia

Rajdeep Chatterjee India

Kwang-Eun Ko

122 ×0.6

CVPR

144 ×1.0

163 ×1.3

49 ×0.5

ECP

35 ×0.5

Citations per year, relative to Kwang-Eun Ko Kwang-Eun Ko (= 1×) peers Rajdeep Chatterjee

Countries citing papers authored by Kwang-Eun Ko

Since Specialization

Citations

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

Fields of papers citing papers by Kwang-Eun Ko

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kwang-Eun Ko. 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 Kwang-Eun Ko. The network helps show where Kwang-Eun Ko may publish in the future.

Co-authorship network of co-authors of Kwang-Eun Ko

This figure shows the co-authorship network connecting the top 25 collaborators of Kwang-Eun Ko. A scholar is included among the top collaborators of Kwang-Eun Ko 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 Kwang-Eun Ko. Kwang-Eun Ko is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Choi, Dongkyu, et al.. (2025). AI-driven adaptive grasping and precise detaching robot for efficient citrus harvesting. Computers and Electronics in Agriculture. 232. 110131–110131. 5 indexed citations

Seo, Jeongil, et al.. (2024). Harvesting Information Estimation Algorithm for Occluded Fruits in Autonomous Open-Field Orchard Robotic Systems. 1–3.

Ko, Kwang-Eun, et al.. (2023). A Meal-Assistance Robot System for Asian Food and Its Food Acquisition Point Estimation and User Interface Based on Face Recognition. Applied Sciences. 13(5). 3216–3216. 6 indexed citations

Kang, Jaehyeon, et al.. (2022). Tomato harvesting robotic system based on Deep-ToMaToS: Deep learning network using transformation loss for 6D pose estimation of maturity classified tomatoes with side-stem. Computers and Electronics in Agriculture. 201. 107300–107300. 52 indexed citations

Ko, Kwang-Eun, et al.. (2021). Real-Time Tomato Instance Tracking Algorithm by using Deep Learning and Probability Model. The Journal of Korea Robotics Society. 16(1). 49–55.

Ko, Kwang-Eun, et al.. (2017). Robust lip detection based on histogram of oriented gradient features and convolutional neural network under effects of light and background. Optik. 136. 462–469. 6 indexed citations

Ko, Kwang-Eun, et al.. (2017). Method that determining the Hyperparameter of CNN using HS algorithm. Journal of Korean institute of intelligent systems. 27(1). 22–28. 9 indexed citations

Ko, Kwang-Eun, et al.. (2017). Automated System for Shoe-upper Pattern Recognition using Deep Neural Network. Journal of Institute of Control Robotics and Systems. 23(9). 705–710.

Ko, Kwang-Eun & Kwee-Bo Sim. (2016). Unsupervised stochastic segmentation of behaviour for learning by demonstration. Electronics Letters. 52(21). 1767–1769. 1 indexed citations

10.

Ko, Kwang-Eun & Kwee-Bo Sim. (2013). Harmony search-based hidden Markov model optimization for online classification of single trial eegs during motor imagery tasks. International Journal of Control Automation and Systems. 11(3). 608–613. 4 indexed citations

11.

Park, Seung Min, et al.. (2013). Real-Time Heart Rate Monitoring System based on Ring-Type Pulse Oximeter Sensor. Journal of Electrical Engineering and Technology. 8(2). 376–384. 21 indexed citations

12.

Kim, Dong‐Eun, et al.. (2013). EEG Analysis Following Change in Hand Grip Force Level for BCI Based Robot Arm Force Control. Journal of Korean institute of intelligent systems. 23(2). 172–177. 5 indexed citations

13.

Yu, Xinyang, Seung Min Park, Kwang-Eun Ko, & Kwee-Bo Sim. (2013). Discriminative Power Feature Selection Method for Motor Imagery EEG Classification in Brain Computer Interface Systems. International Journal of Fuzzy Logic and Intelligent Systems. 13(1). 12–18. 3 indexed citations

14.

Park, Seung Min, et al.. (2012). Independent Component Analysis-based Robust Feature Extraction of Two Class-Hand Movements from Auditory Stimuli. 한국지능시스템학회 학술발표 논문집. 22(1). 7–8. 1 indexed citations

15.

Park, Seung Min, et al.. (2012). Optimal EEG feature extraction based on R-square coefficients for motor imagery BCI system. International Conference on Control, Automation and Systems. 754–758. 2 indexed citations

16.

Park, Seung Min, et al.. (2012). Multi-class stationary CSP for optimal feature separation of brain source in BCI system. International Conference on Control, Automation and Systems. 1035–1039. 3 indexed citations

17.

Park, Seung Min, et al.. (2012). Orthonormal Polynomial based Optimal EEG Feature Extraction for Motor Imagery Brain-Computer Interface. Journal of Korean institute of intelligent systems. 22(6). 793–798. 2 indexed citations

18.

Ko, Kwang-Eun & Kwee-Bo Sim. (2011). An EEG signals classification system using optimized adaptive neuro-fuzzy inference model based on harmony search algorithm. International Conference on Control, Automation and Systems. 1457–1461. 5 indexed citations

19.

Ko, Kwang-Eun & Kwee-Bo Sim. (2011). Development of Facial Emotion Recognition System Based on Optimization of HMM Structure by using Harmony Search Algorithm. Journal of Korean institute of intelligent systems. 21(3). 395–400. 1 indexed citations

20.

Ko, Kwang-Eun, et al.. (2009). Development of advanced Active Appearance Model for facial emotion recognition. 1019–1022. 3 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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