Kyuho Lee

1.0k total citations
51 papers, 777 citations indexed

About

Kyuho Lee is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Aerospace Engineering. According to data from OpenAlex, Kyuho Lee has authored 51 papers receiving a total of 777 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Electrical and Electronic Engineering, 26 papers in Computer Vision and Pattern Recognition and 9 papers in Aerospace Engineering. Recurrent topics in Kyuho Lee's work include CCD and CMOS Imaging Sensors (14 papers), Advanced Memory and Neural Computing (8 papers) and Advanced Neural Network Applications (8 papers). Kyuho Lee is often cited by papers focused on CCD and CMOS Imaging Sensors (14 papers), Advanced Memory and Neural Computing (8 papers) and Advanced Neural Network Applications (8 papers). Kyuho Lee collaborates with scholars based in South Korea and United States. Kyuho Lee's co-authors include Hoi‐Jun Yoo, Minseo Kim, Yongsu Lee, Kyeongryeol Bong, Sungpill Choi, Injoon Hong, Gyeonghoon Kim, Jaeeun Jang, Unsoo Ha and Youchang Kim and has published in prestigious journals such as Advanced Materials, IEEE Journal of Solid-State Circuits and Journal of Sound and Vibration.

In The Last Decade

Kyuho Lee

41 papers receiving 758 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kyuho Lee South Korea 17 454 202 198 68 68 51 777
Nouri Masmoudi Tunisia 16 338 0.7× 608 3.0× 173 0.9× 53 0.8× 74 1.1× 205 1.2k
Alicia Klinefelter United States 12 760 1.7× 220 1.1× 241 1.2× 147 2.2× 123 1.8× 19 1.0k
Mototsugu Hamada Japan 18 969 2.1× 110 0.5× 304 1.5× 85 1.3× 69 1.0× 106 1.1k
Jordi Carrabina Spain 17 725 1.6× 77 0.4× 422 2.1× 201 3.0× 39 0.6× 119 1.3k
Dongsuk Jeon South Korea 19 842 1.9× 122 0.6× 292 1.5× 65 1.0× 151 2.2× 58 1.2k
Tobias Gemmeke Germany 12 338 0.7× 41 0.2× 87 0.4× 125 1.8× 100 1.5× 70 517
David Bol Belgium 25 1.5k 3.4× 71 0.4× 410 2.1× 146 2.1× 162 2.4× 156 1.8k
Vasily G. Moshnyaga Japan 13 253 0.6× 207 1.0× 115 0.6× 131 1.9× 31 0.5× 102 571
Jaeyoung Kim South Korea 14 707 1.6× 75 0.4× 312 1.6× 46 0.7× 313 4.6× 62 1.2k
Sujata Pandey India 12 324 0.7× 85 0.4× 109 0.6× 91 1.3× 35 0.5× 123 586

Countries citing papers authored by Kyuho Lee

Since Specialization
Citations

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

Fields of papers citing papers by Kyuho Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kyuho Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Kyuho Lee. A scholar is included among the top collaborators of Kyuho 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 Kyuho Lee. Kyuho 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
1.
Lee, Kyuho, et al.. (2025). C 2 IM-NN: A Low-Power 3D Point Clouds Matching Processor With 1D-CNN Prediction and CAM-Based In-Memory k-NN Searching. IEEE Transactions on Circuits and Systems I Regular Papers. 72(7). 3286–3297.
2.
Yoon, Heein, et al.. (2025). A Multibit ReRAM Computing-in-Memory Processor With Adaptive Decision Level Nonlinear ADC for Ultra-Low-Energy Keyword Spotting in Mobile Devices. IEEE Transactions on Circuits and Systems I Regular Papers. 73(2). 862–874.
3.
Han, Donghyeon, et al.. (2024). An Energy-Efficient Processor for Real-Time Semantic LiDAR SLAM in Mobile Robots. IEEE Journal of Solid-State Circuits. 60(1). 112–124. 2 indexed citations
4.
Lee, Kyuho, et al.. (2024). A Real-Time Sparsity-Aware 3D-CNN Processor for Mobile Hand Gesture Recognition. IEEE Transactions on Circuits and Systems I Regular Papers. 71(8). 3695–3707.
5.
Lee, Kyuho, et al.. (2024). An Energy-Efficient, Unified CNN Accelerator for Real-Time Multi-Object Semantic Segmentation for Autonomous Vehicle. IEEE Transactions on Circuits and Systems I Regular Papers. 71(5). 2093–2104. 8 indexed citations
6.
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9.
Lee, Kyuho, et al.. (2024). A 701.7 TOPS/W Compute-in-Memory Processor With Time-Domain Computing for Spiking Neural Network. IEEE Transactions on Circuits and Systems I Regular Papers. 72(1). 25–35. 2 indexed citations
10.
Kim, Donghyuk, Jaeyoung Kim, Suk Jin Lee, et al.. (2024). DPIM: A 19.36 TOPS/W 2T1C eDRAM Transformer-in-Memory Chip with Sparsity-Aware Quantization and Heterogeneous Dense-Sparse Core. 141–144. 1 indexed citations
11.
Lee, Kyuho, et al.. (2023). A Ternary Neural Network Computing-in-Memory Processor With 16T1C Bitcell Architecture. IEEE Transactions on Circuits & Systems II Express Briefs. 70(5). 1739–1743. 7 indexed citations
12.
Lee, Kyuho, et al.. (2022). Evaluating Forest Cover Changes in Protected Areas Using Geospatial Analysis in Chiang Mai, Thailand. Chiang Mai University Journal of Natural Sciences. 21(2).
13.
Choi, Sungpill, Jinsu Lee, Kyuho Lee, & Hoi‐Jun Yoo. (2018). A 9.02mW CNN-stereo-based real-time 3D hand-gesture recognition processor for smart mobile devices. Scholarworks@UNIST (Ulsan National Institute of Science and Technology). 220–222. 45 indexed citations
14.
Lee, Jinsu, Dongjoo Shin, Kyuho Lee, & Hoi‐Jun Yoo. (2017). A 31.2pJ/disparity· pixel stereo matching processor with stereo SRAM for mobile UI application. Scholarworks@UNIST (Ulsan National Institute of Science and Technology). C158–C159. 4 indexed citations
15.
Hong, Injoon, Kyeongryeol Bong, Dongjoo Shin, et al.. (2015). 18.1 A 2.71nJ/pixel 3D-stacked gaze-activated object-recognition system for low-power mobile HMD applications. Scholarworks@UNIST (Ulsan National Institute of Science and Technology). 1–3. 16 indexed citations
16.
Hong, Injoon, Kyeongryeol Bong, Dongjoo Shin, et al.. (2015). A 2.71 nJ/Pixel Gaze-Activated Object Recognition System for Low-Power Mobile Smart Glasses. IEEE Journal of Solid-State Circuits. 51(1). 45–55. 17 indexed citations
17.
Hong, Injoon, Dongjoo Shin, Youchang Kim, et al.. (2015). A keypoint-level parallel pipelined object recognition processor with gaze activation image sensor for mobile smart glasses system. Scholarworks@UNIST (Ulsan National Institute of Science and Technology). 1–3. 1 indexed citations
18.
Lee, Kyuho, et al.. (2014). Prediction of sound field from recoilless rifles in terms of source decomposition. Applied Acoustics. 88. 137–145. 2 indexed citations
19.
Kim, Gyeonghoon, Kyuho Lee, Youchang Kim, et al.. (2014). A 1.22 TOPS and 1.52 mW/MHz Augmented Reality Multicore Processor With Neural Network NoC for HMD Applications. IEEE Journal of Solid-State Circuits. 50(1). 113–124. 28 indexed citations
20.
Lee, Kyuho & Jintai Chung. (2013). Dynamic models for the contact analysis of a tensioned beam with a moving oscillator. Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science. 228(4). 676–689. 2 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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