Jinsu Lee

1.8k total citations
67 papers, 1.2k citations indexed

About

Jinsu Lee is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Cellular and Molecular Neuroscience. According to data from OpenAlex, Jinsu Lee has authored 67 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computer Vision and Pattern Recognition, 23 papers in Electrical and Electronic Engineering and 8 papers in Cellular and Molecular Neuroscience. Recurrent topics in Jinsu Lee's work include Advanced Memory and Neural Computing (12 papers), Advanced Neural Network Applications (11 papers) and Advanced Vision and Imaging (7 papers). Jinsu Lee is often cited by papers focused on Advanced Memory and Neural Computing (12 papers), Advanced Neural Network Applications (11 papers) and Advanced Vision and Imaging (7 papers). Jinsu Lee collaborates with scholars based in South Korea, United States and Australia. Jinsu Lee's co-authors include Hoi‐Jun Yoo, Jinmook Lee, Dongjoo Shin, Juhyoung Lee, Donghyeon Han, Gwangtae Park, Ji-Hoon Kim, Sanghoon Kang, Joo-Young Kim and Ki-Jong Kim and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Nature Neuroscience.

In The Last Decade

Jinsu Lee

65 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jinsu Lee South Korea 19 578 525 228 136 87 67 1.2k
César Torres-Huitzil Mexico 15 371 0.6× 263 0.5× 159 0.7× 47 0.3× 54 0.6× 82 737
J. M. Pierre Langlois Canada 15 285 0.5× 223 0.4× 92 0.4× 66 0.5× 90 1.0× 93 918
Lukas Cavigelli Switzerland 17 664 1.1× 619 1.2× 307 1.3× 97 0.7× 113 1.3× 46 1.4k
Jun Zhou China 18 491 0.8× 242 0.5× 204 0.9× 34 0.3× 192 2.2× 137 1.4k
Shanq-Jang Ruan Taiwan 19 239 0.4× 823 1.6× 162 0.7× 149 1.1× 13 0.1× 161 1.4k
G. Jiménez Spain 20 925 1.6× 120 0.2× 177 0.8× 79 0.6× 483 5.6× 90 1.3k
Paolo Crippa Italy 20 283 0.5× 167 0.3× 191 0.8× 129 0.9× 35 0.4× 100 1.1k
Chua‐Chin Wang Taiwan 22 1.6k 2.7× 214 0.4× 136 0.6× 234 1.7× 164 1.9× 318 2.1k
Guangshe Zhao China 20 487 0.8× 130 0.2× 418 1.8× 26 0.2× 80 0.9× 52 1.2k
Feng Wu China 23 549 0.9× 861 1.6× 266 1.2× 29 0.2× 20 0.2× 151 1.9k

Countries citing papers authored by Jinsu Lee

Since Specialization
Citations

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

Fields of papers citing papers by Jinsu Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinsu Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Jinsu Lee. A scholar is included among the top collaborators of Jinsu 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 Jinsu Lee. Jinsu 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.
Sehgal, Megha, Daniel Almeida Filho, George Kastellakis, et al.. (2025). Compartmentalized dendritic plasticity in the mouse retrosplenial cortex links contextual memories formed close in time. Nature Neuroscience. 28(3). 602–615. 2 indexed citations
2.
Lee, Jinsu, Taeyeong Yun, Namhyung Kim, et al.. (2024). Architecting Sturdy Si/Graphite Composite with Lubricative Graphene Nanoplatelets for High‐Density Electrodes. Small. 21(10). e2404949–e2404949.
3.
Im, Dongseok, Gwangtae Park, Zhiyong Li, et al.. (2023). A Mobile 3-D Object Recognition Processor With Deep-Learning-Based Monocular Depth Estimation. IEEE Micro. 43(3). 74–82. 2 indexed citations
4.
Im, Dongseok, Gwangtae Park, Zhiyong Li, et al.. (2022). DSPU: An Efficient Deep Learning-Based Dense RGB-D Data Acquisition With Sensor Fusion and 3-D Perception SoC. IEEE Journal of Solid-State Circuits. 58(1). 177–188. 3 indexed citations
5.
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
6.
Lee, Jinsu & Hoi‐Jun Yoo. (2021). An Overview of Energy-Efficient Hardware Accelerators for On-Device Deep-Neural-Network Training. SHILAP Revista de lepidopterología. 1. 115–128. 20 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, 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
9.
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
10.
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
11.
Han, Donghyeon, Jinsu Lee, & Hoi‐Jun Yoo. (2020). DF-LNPU: A Pipelined Direct Feedback Alignment-Based Deep Neural Network Learning Processor for Fast Online Learning. IEEE Journal of Solid-State Circuits. 56(5). 1630–1640. 15 indexed citations
12.
Lee, Jinsu, Sanghoon Kang, Jinmook Lee, et al.. (2020). The Hardware and Algorithm Co-Design for Energy-Efficient DNN Processor on Edge/Mobile Devices. IEEE Transactions on Circuits and Systems I Regular Papers. 67(10). 3458–3470. 36 indexed citations
13.
Cha, Seungman, Sung‐Tae Hong, Jinsu Lee, et al.. (2020). Comparison of the Change in the Prevalence and Intensity of Schistosoma haematobium Infection Between High and Low Prevalence Areas of White Nile State, Sudan. Korean Journal of Parasitology. 58(4). 421–430. 6 indexed citations
14.
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
15.
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
16.
Han, Donghyeon, Jinsu Lee, Jinmook Lee, & Hoi‐Jun Yoo. (2018). A Low-Power Deep Neural Network Online Learning Processor for Real-Time Object Tracking Application. IEEE Transactions on Circuits and Systems I Regular Papers. 66(5). 1794–1804. 32 indexed citations
17.
Shin, Dongjoo, Jinmook Lee, Jinsu Lee, & Hoi‐Jun Yoo. (2017). 14.2 DNPU: An 8.1TOPS/W reconfigurable CNN-RNN processor for general-purpose deep neural networks. 240–241. 239 indexed citations
18.
Lee, Jinsu, Dongjoo Shin, Youchang Kim, & Hoi‐Jun Yoo. (2017). A 17.5-fJ/bit Energy-Efficient Analog SRAM for Mixed-Signal Processing. IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 25(10). 2714–2723. 15 indexed citations
19.
Joubert, Lynette, et al.. (2013). The Contribution of Psychosocial Factors to Secondary Risk Prevention for Myocardial Infarction in Young Adults. Social Work in Health Care. 52(2-3). 191–206. 2 indexed citations
20.
Kim, Beop‐Min, et al.. (2006). Image Analysis Algorithm for the Corneal Endothelium. Journal of Biomedical Engineering Research. 27(3). 125–130. 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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