Kyoobin Lee

2.0k total citations
59 papers, 1.1k citations indexed

About

Kyoobin Lee is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Cognitive Neuroscience. According to data from OpenAlex, Kyoobin Lee has authored 59 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 13 papers in Artificial Intelligence and 11 papers in Cognitive Neuroscience. Recurrent topics in Kyoobin Lee's work include Advanced Memory and Neural Computing (8 papers), Advanced Neural Network Applications (8 papers) and Gaze Tracking and Assistive Technology (5 papers). Kyoobin Lee is often cited by papers focused on Advanced Memory and Neural Computing (8 papers), Advanced Neural Network Applications (8 papers) and Gaze Tracking and Assistive Technology (5 papers). Kyoobin Lee collaborates with scholars based in South Korea, United States and Switzerland. Kyoobin Lee's co-authors include Seunghyeok Back, Hogeon Seo, Dong‐Soo Kwon, Tae Kim, Sanghyub Lee, Deok-Won Lee, Mun Sang Kim, Eunji Cheong, Hee‐Sup Shin and Sungho Shin and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Neuron and Scientific Reports.

In The Last Decade

Kyoobin Lee

53 papers receiving 1.0k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kyoobin Lee South Korea 18 308 255 205 187 170 59 1.1k
Mohamed A. Bencherif Saudi Arabia 19 611 2.0× 218 0.9× 211 1.0× 235 1.3× 240 1.4× 32 1.4k
Abhay Upadhyay India 15 578 1.9× 91 0.4× 243 1.2× 142 0.8× 70 0.4× 51 1.1k
Gaetano Di Caterina United Kingdom 15 161 0.5× 208 0.8× 174 0.8× 153 0.8× 80 0.5× 69 811
José Manuel Ferrández Spain 17 406 1.3× 155 0.6× 114 0.6× 115 0.6× 187 1.1× 101 1.0k
M. Ramasubba Reddy India 16 572 1.9× 108 0.4× 241 1.2× 68 0.4× 205 1.2× 105 1.1k
Baikun Wan China 18 794 2.6× 130 0.5× 260 1.3× 131 0.7× 321 1.9× 92 1.2k
Tae‐Gyu Chang South Korea 12 438 1.4× 212 0.8× 715 3.5× 88 0.5× 165 1.0× 77 1.2k
M.P. Paulraj Malaysia 14 281 0.9× 65 0.3× 91 0.4× 106 0.6× 86 0.5× 106 713
Rami Alazrai Jordan 18 305 1.0× 216 0.8× 189 0.9× 260 1.4× 85 0.5× 59 853
Sachin Taran India 14 582 1.9× 140 0.5× 208 1.0× 50 0.3× 183 1.1× 38 846

Countries citing papers authored by Kyoobin Lee

Since Specialization
Citations

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

Fields of papers citing papers by Kyoobin Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kyoobin Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Kyoobin Lee. A scholar is included among the top collaborators of Kyoobin Lee 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 Kyoobin Lee. Kyoobin Lee 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
2.
Kim, Jongwon, et al.. (2025). GraspSAM: When Segment Anything Model Meets Grasp Detection. 14023–14029.
4.
Shin, Sung-Ho, et al.. (2024). Domain-Specific Block Selection and Paired-View Pseudo-Labeling for Online Test-Time Adaptation. 22723–22732. 1 indexed citations
5.
Back, Seunghyeok, et al.. (2024). Learning to Place Unseen Objects Stably Using a Large-Scale Simulation. IEEE Robotics and Automation Letters. 9(3). 3005–3012. 2 indexed citations
6.
Shin, Sungho, et al.. (2023). BattleSound: A Game Sound Benchmark for the Sound-Specific Feedback Generation in a Battle Game. Sensors. 23(2). 770–770. 1 indexed citations
7.
Back, Seunghyeok, et al.. (2023). SleePyCo: Automatic sleep scoring with feature pyramid and contrastive learning. Expert Systems with Applications. 240. 122551–122551. 26 indexed citations
8.
Moon, Seong‐Yong, et al.. (2022). Deep Learning Based Detection of Missing Tooth Regions for Dental Implant Planning in Panoramic Radiographic Images. Applied Sciences. 12(3). 1595–1595. 20 indexed citations
9.
Shin, Sungho, et al.. (2021). Self-Supervised Transfer Learning from Natural Images for Sound Classification. Applied Sciences. 11(7). 3043–3043. 8 indexed citations
10.
Lee, Kyoobin, et al.. (2021). Deep Learning based Food Instance Segmentation using Synthetic Data. 499–505. 25 indexed citations
11.
Ryu, Seungjun, et al.. (2021). Pilot study of a single-channel EEG seizure detection algorithm using machine learning. Child s Nervous System. 37(7). 2239–2244. 8 indexed citations
12.
13.
Suh, Yunjae, Sungho Kim, Heejae Jung, et al.. (2017). 4.1 A 640×480 dynamic vision sensor with a 9µm pixel and 300Meps address-event representation. 66–67. 122 indexed citations
14.
Cho, Baek Hwan, Jin Man Park, Kyoobin Lee, et al.. (2016). Performance improvement of deep learning based gesture recognition using spatiotemporal demosaicing technique. 1624–1628. 20 indexed citations
15.
Lee, Jungryun, Kyoobin Lee, Joohyeon Hong, et al.. (2013). Sleep spindles are generated in the absence of T-type calcium channel-mediated low-threshold burst firing of thalamocortical neurons. Proceedings of the National Academy of Sciences. 110(50). 20266–20271. 32 indexed citations
16.
Maeda, S., Youngwook Ko, Jin‐Ok Jeong, et al.. (2013). 3 dimensional scaling extensibility on epitaxial source drain strain technology toward Fin FET and beyond. Symposium on VLSI Technology. 3 indexed citations
17.
Lee, Kyoobin & Dong‐Soo Kwon. (2008). Synaptic plasticity model of a spiking neural network for reinforcement learning. Neurocomputing. 71(13-15). 3037–3043. 8 indexed citations
18.
Bien, Zeungnam, Pyung‐Hun Chang, Dong‐Soo Kwon, et al.. (2004). Integration of a Rehabilitation Robotic System (KARES II) with Human-Friendly Man-Machine Interaction Units. Autonomous Robots. 16(2). 165–191. 60 indexed citations
19.
Kim, K. W., et al.. (1993). Development of a MUSE-to-NTSC converter. IEEE Transactions on Consumer Electronics. 39(3). 437–441. 1 indexed citations
20.
Lee, Kyoobin. (1983). Non-Linear Corona Models in an Electromagnetic Transients Program (EMTP). IEEE Transactions on Power Apparatus and Systems. PAS-102(9). 2936–2942. 43 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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