Keun-Tae Kim

671 total citations
32 papers, 482 citations indexed

About

Keun-Tae Kim is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Human-Computer Interaction. According to data from OpenAlex, Keun-Tae Kim has authored 32 papers receiving a total of 482 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Cognitive Neuroscience, 26 papers in Cellular and Molecular Neuroscience and 13 papers in Human-Computer Interaction. Recurrent topics in Keun-Tae Kim's work include EEG and Brain-Computer Interfaces (28 papers), Neuroscience and Neural Engineering (26 papers) and Gaze Tracking and Assistive Technology (13 papers). Keun-Tae Kim is often cited by papers focused on EEG and Brain-Computer Interfaces (28 papers), Neuroscience and Neural Engineering (26 papers) and Gaze Tracking and Assistive Technology (13 papers). Keun-Tae Kim collaborates with scholars based in South Korea, Switzerland and Singapore. Keun-Tae Kim's co-authors include Seong‐Whan Lee, Heung‐Il Suk, Cuntai Guan, Song Joo Lee, Hyungmin Kim, Laehyun Kim, Ji-Hoon Jeong, Tom Carlson, Dong‐Joo Kim and Siamac Fazli and has published in prestigious journals such as PLoS ONE, Scientific Reports and IEEE Access.

In The Last Decade

Keun-Tae Kim

27 papers receiving 472 citations

Peers

Keun-Tae Kim

CMN

EEE

Tushar Chouhan Singapore

Reinmar J. Kobler Austria

Yunjun Nam South Korea

Xiaokang Shu China

Yaqi Chu China

Qiyun Huang China

Ricardo Ron-Angevín Spain

Natasha Padfield United Kingdom

Michele Tavella Switzerland

John W. Kelly United States

Tushar Chouhan Singapore

Keun-Tae Kim

366 ×0.9

164 ×0.7

CMN

117 ×0.7

106 ×0.7

95 ×1.1

EEE

Citations per year, relative to Keun-Tae Kim Keun-Tae Kim (= 1×) peers Tushar Chouhan

Countries citing papers authored by Keun-Tae Kim

Since Specialization

Citations

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

Fields of papers citing papers by Keun-Tae Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keun-Tae Kim

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

All Works

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20 of 20 papers shown

Kim, Keun-Tae, et al.. (2025). Convolutional neural network approach for motor imagery and steady-state somatosensory evoked potential-based hybrid brain-computer interface using dry electrodes. Biomedical Signal Processing and Control. 110. 108343–108343.

Lee, Song Joo, et al.. (2025). Developing a Multi-Directional Lower-Limb Training System Toward Aging in Place Rehabilitation: A Preliminary Feasibility Study on Healthy Individuals. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 33. 975–983.

Kim, Keun-Tae, et al.. (2025). Towards Feasible Deep Learning Approach Using EEG for Neurodegenerative Diseases. 1–5.

Lee, Minji, et al.. (2024). Multi-Task Heterogeneous Ensemble Learning-Based Cross-Subject EEG Classification Under Stroke Patients. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 32. 1767–1778. 8 indexed citations

Kim, Keun-Tae, et al.. (2024). Improving inter-session performance via relevant session-transfer for multi-session motor imagery classification. Heliyon. 10(17). e37343–e37343. 3 indexed citations

Kim, Keun-Tae, et al.. (2023). Convolutional Neural Network Approach for Steady-State Somatosensory Evoked Potential-Based Robotic Exoskeleton Control. 10. 88–91.

Kim, Keun-Tae, et al.. (2023). Classification of deep vein thrombosis stages using convolutional neural network of electromyogram with vibrotactile stimulation toward developing an early diagnostic tool: A preliminary study on a pig model. PLoS ONE. 18(2). e0281219–e0281219. 3 indexed citations

Kim, Keun-Tae, et al.. (2022). High‐Frequency Vibrating Stimuli Using the Low‐Cost Coin‐Type Motors for SSSEP‐Based BCI. BioMed Research International. 2022(1). 4100381–4100381. 2 indexed citations

Kim, Keun-Tae, et al.. (2022). Garcinia Cambogia-Induced Refractory Status Epilepticus. Journal of the Korean Neurological Association. 40(2). 141–143.

10.

Park, Jong Woong, et al.. (2021). Developing an in-vivo physiological porcine model of inducing acute atraumatic compartment syndrome towards a non-invasive diagnosis using shear wave elastography. Scientific Reports. 11(1). 21891–21891. 7 indexed citations

11.

Kim, Keun-Tae, et al.. (2021). Upper-Limb Electromyogram Classification of Reaching-to-Grasping Tasks Based on Convolutional Neural Networks for Control of a Prosthetic Hand. Frontiers in Neuroscience. 15. 733359–733359. 16 indexed citations

12.

Kim, Keun-Tae, et al.. (2020). Classification of Selective Attention Within Steady-State Somatosensory Evoked Potentials From Dry Electrodes Using Mutual Information-Based Spatio-Spectral Feature Selection. IEEE Access. 8. 85464–85472. 11 indexed citations

13.

Kim, Keun-Tae, et al.. (2020). Developing a Motor Imagery-Based Real-Time Asynchronous Hybrid BCI Controller for a Lower-Limb Exoskeleton. Sensors. 20(24). 7309–7309. 65 indexed citations

14.

Kim, Keun-Tae, et al.. (2020). Robust Semi-synchronous BCI Controller for Brain-Actuated Exoskeleton System. 1–3. 8 indexed citations

15.

Kim, Keun-Tae, Cuntai Guan, & Seong‐Whan Lee. (2019). A Subject-Transfer Framework Based on Single-Trial EMG Analysis Using Convolutional Neural Networks. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 28(1). 94–103. 93 indexed citations

16.

Jeong, Ji-Hoon, et al.. (2018). Design of a brain-controlled robot arm system based on upper-limb movement imagery. 1–3. 10 indexed citations

17.

Lee, Min-Ho, Siamac Fazli, Keun-Tae Kim, & Seong‐Whan Lee. (2016). Development of an open source platform for brain-machine interface: openBMI. 1–2. 15 indexed citations

18.

Kim, Keun-Tae & Seong‐Whan Lee. (2016). Towards an EEG-based intelligent wheelchair driving system with vibro-tactile stimuli. 2382–2385. 17 indexed citations

19.

Kim, Keun-Tae & Seong‐Whan Lee. (2015). Wheelchair Control Based on Steady-State Somatosensory Evoked Potentials. 1504–1507. 6 indexed citations

20.

Kim, Keun-Tae & Seong‐Whan Lee. (2014). Steady-state somatosensory evoked potentials for brain-controlled wheelchair. 1–2. 7 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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