Juhyoung Lee

1.0k total citations
44 papers, 741 citations indexed

About

Juhyoung Lee is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Juhyoung Lee has authored 44 papers receiving a total of 741 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computer Vision and Pattern Recognition, 21 papers in Electrical and Electronic Engineering and 14 papers in Artificial Intelligence. Recurrent topics in Juhyoung Lee's work include Advanced Memory and Neural Computing (19 papers), Advanced Neural Network Applications (19 papers) and Ferroelectric and Negative Capacitance Devices (12 papers). Juhyoung Lee is often cited by papers focused on Advanced Memory and Neural Computing (19 papers), Advanced Neural Network Applications (19 papers) and Ferroelectric and Negative Capacitance Devices (12 papers). Juhyoung Lee collaborates with scholars based in South Korea and Canada. Juhyoung Lee's co-authors include Hoi‐Jun Yoo, Jinsu Lee, Donghyeon Han, Sangyeob Kim, Jinmook Lee, Sanghoon Kang, Gwangtae Park, Dongseok Im, Sangjin Kim and Ji-Hoon Kim and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Journal of Solid-State Circuits and IEEE Transactions on Circuits and Systems I Regular Papers.

In The Last Decade

Juhyoung Lee

43 papers receiving 735 citations

Peers

Juhyoung Lee
Lingzhi Sui China
Donghyeon Han South Korea
Eunhyeok Park South Korea
Liangzhen Lai United States
Sungpill Choi South Korea
Jungwook Choi South Korea
Qingcheng Xiao China
Jinmook Lee South Korea
Xiaolong Ma United States
Shuanglong Liu United Kingdom
Lingzhi Sui China
Juhyoung Lee
Citations per year, relative to Juhyoung Lee Juhyoung Lee (= 1×) peers Lingzhi Sui

Countries citing papers authored by Juhyoung Lee

Since Specialization
Citations

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

Fields of papers citing papers by Juhyoung Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Juhyoung Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Juhyoung Lee. A scholar is included among the top collaborators of Juhyoung 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 Juhyoung Lee. Juhyoung 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.
2.
Kim, Sangjin, Zhiyong Li, Juhyoung Lee, et al.. (2023). DynaPlasia: An eDRAM In-Memory Computing-Based Reconfigurable Spatial Accelerator With Triple-Mode Cell. IEEE Journal of Solid-State Circuits. 59(1). 102–115. 16 indexed citations
3.
Kim, Sangyeob, et al.. (2023). SNPU: An Energy-Efficient Spike Domain Deep-Neural-Network Processor With Two-Step Spike Encoding and Shift-and-Accumulation Unit. IEEE Journal of Solid-State Circuits. 58(10). 2812–2825. 10 indexed citations
4.
Han, Donghyeon, et al.. (2022). A DNN Training Processor for Robust Object Detection with Real-World Environmental Adaptation. 501–501. 2 indexed citations
5.
Han, Donghyeon, Sanghoon Kang, Sangyeob Kim, Juhyoung Lee, & Hoi‐Jun Yoo. (2022). Energy-Efficient DNN Training Processors on Micro-AI Systems. SHILAP Revista de lepidopterología. 2. 259–275. 5 indexed citations
6.
Lee, Juhyoung, Ji-Hoon Kim, Sangyeob Kim, et al.. (2021). A 13.7 TFLOPS/W Floating-point DNN Processor using Heterogeneous Computing Architecture with Exponent-Computing-in-Memory. 1–2. 35 indexed citations
7.
Kim, Ji-Hoon, et al.. (2021). Z-PIM: A Sparsity-Aware Processing-in-Memory Architecture With Fully Variable Weight Bit-Precision for Energy-Efficient Deep Neural Networks. IEEE Journal of Solid-State Circuits. 56(4). 1093–1104. 48 indexed citations
8.
Kim, Sangjin, Juhyoung Lee, Dongseok Im, & Hoi‐Jun Yoo. (2021). PNNPU: A 11.9 TOPS/W High-speed 3D Point Cloud-based Neural Network Processor with Block-based Point Processing for Regular DRAM Access. 1–2. 24 indexed citations
9.
Lee, Juhyoung, et al.. (2021). ECIM: Exponent Computing in Memory for an Energy-Efficient Heterogeneous Floating-Point DNN Training Processor. IEEE Micro. 42(1). 99–107. 9 indexed citations
10.
Lee, Juhyoung, Changhyeon Kim, Donghyeon Han, et al.. (2021). Energy-Efficient Deep Reinforcement Learning Accelerator Designs for Mobile Autonomous Systems. 1–4. 1 indexed citations
11.
Kang, Sanghoon, Donghyeon Han, Juhyoung Lee, et al.. (2020). 7.4 GANPU: A 135TFLOPS/W Multi-DNN Training Processor for GANs with Speculative Dual-Sparsity Exploitation. 140–142. 59 indexed citations
12.
Kim, Sangyeob, Juhyoung Lee, Sanghoon Kang, Jinsu Lee, & Hoi‐Jun Yoo. (2020). A Power-Efficient CNN Accelerator With Similar Feature Skipping for Face Recognition in Mobile Devices. IEEE Transactions on Circuits and Systems I Regular Papers. 67(4). 1181–1193. 23 indexed citations
13.
Lee, Juhyoung, Jinsu Lee, & Hoi‐Jun Yoo. (2020). SRNPU: An Energy-Efficient CNN-Based Super-Resolution Processor With Tile-Based Selective Super-Resolution in Mobile Devices. IEEE Journal on Emerging and Selected Topics in Circuits and Systems. 10(3). 320–334. 45 indexed citations
14.
Lee, Kyoung-Rog, Ji-Hoon Kim, Changhyeon Kim, et al.. (2020). A 1.02-μW STT-MRAM-Based DNN ECG Arrhythmia Monitoring SoC With Leakage-Based Delay MAC Unit. IEEE Solid-State Circuits Letters. 3. 390–393. 16 indexed citations
15.
Kim, Ji-Hoon, Juhyoung Lee, Jinsu Lee, Hoi‐Jun Yoo, & Joo-Young Kim. (2020). Z-PIM: An Energy-Efficient Sparsity Aware Processing-In-Memory Architecture with Fully-Variable Weight Precision. 1–2. 20 indexed citations
16.
17.
Kim, Sangyeob, Juhyoung Lee, Sanghoon Kang, Jinmook Lee, & Hoi‐Jun Yoo. (2020). A 146.52 TOPS/W Deep-Neural-Network Learning Processor with Stochastic Coarse-Fine Pruning and Adaptive Input/Output/Weight Skipping. 1–2. 24 indexed citations
18.
Lee, Jinsu, Juhyoung Lee, Donghyeon Han, et al.. (2019). An Energy-Efficient Sparse Deep-Neural-Network Learning Accelerator With Fine-Grained Mixed Precision of FP8–FP16. IEEE Solid-State Circuits Letters. 2(11). 232–235. 19 indexed citations
19.
Lee, Juhyoung, Dongjoo Shin, Jinsu Lee, et al.. (2019). A Full HD 60 fps CNN Super Resolution Processor with Selective Caching based Layer Fusion for Mobile Devices. 29 indexed citations
20.
Lee, Juhyoung, et al.. (2016). A study on the approach to reduce in the aviation GHG emissions in Korea. Journal of the Korean Society for Aviation and Aeronautics. 24(1). 47–54. 1 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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