Taesik Na

756 total citations
29 papers, 403 citations indexed

About

Taesik Na is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Taesik Na has authored 29 papers receiving a total of 403 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Electrical and Electronic Engineering, 13 papers in Computer Vision and Pattern Recognition and 9 papers in Artificial Intelligence. Recurrent topics in Taesik Na's work include Advanced Memory and Neural Computing (8 papers), CCD and CMOS Imaging Sensors (7 papers) and Advanced Neural Network Applications (7 papers). Taesik Na is often cited by papers focused on Advanced Memory and Neural Computing (8 papers), CCD and CMOS Imaging Sensors (7 papers) and Advanced Neural Network Applications (7 papers). Taesik Na collaborates with scholars based in United States and South Korea. Taesik Na's co-authors include Saibal Mukhopadhyay, Jong Hwan Ko, Yun Long, Duck-Hwan Kim, Burhan Ahmad Mudassar, Jaeha Kung, Sudhakar Yalamanchili, Sheldon Weng, Xiaosen Liu and Harish K. Krishnamurthy and has published in prestigious journals such as IEEE Communications Magazine, IEEE Journal of Solid-State Circuits and IEEE Sensors Journal.

In The Last Decade

Taesik Na

26 papers receiving 394 citations

Peers

Taesik Na
Li Du China
Mingyu Wang China
Daniel Bankman United States
Jinwook Oh South Korea
Shimpei Sato Japan
Xiaoyang Zeng China
Injoon Hong South Korea
Qi Wei China
Ahmad Shawahna Saudi Arabia
Alfio Di Mauro Italy
Li Du China
Taesik Na
Citations per year, relative to Taesik Na Taesik Na (= 1×) peers Li Du

Countries citing papers authored by Taesik Na

Since Specialization
Citations

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

Fields of papers citing papers by Taesik Na

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Taesik Na

This figure shows the co-authorship network connecting the top 25 collaborators of Taesik Na. A scholar is included among the top collaborators of Taesik Na 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 Taesik Na. Taesik Na 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.
Liu, Xiaosen, Harish K. Krishnamurthy, Taesik Na, et al.. (2021). A Universal Modular Hybrid LDO With Fast Load Transient Response and Programmable PSRR in 14-nm CMOS Featuring Dynamic Clamp Strength Tuning. IEEE Journal of Solid-State Circuits. 56(8). 2402–2415. 13 indexed citations
2.
Lee, Minah, et al.. (2020). Cross-Layer Noise Analysis in Smart Digital Pixel Sensors With Integrated Deep Neural Network. IEEE Journal on Emerging and Selected Topics in Circuits and Systems. 10(4). 444–457. 1 indexed citations
3.
Lee, Minah, Burhan Ahmad Mudassar, Taesik Na, & Saibal Mukhopadhyay. (2020). WarningNet: A Deep Learning Platform for Early Warning of Task Failures under Input Perturbation for Reliable Autonomous Platforms. 1–6. 2 indexed citations
4.
Lee, Minah, et al.. (2020). Effect of Process Variations in Digital Pixel Circuits on the Accuracy of DNN based Smart Sensor. 8693. 296–300. 5 indexed citations
5.
Mudassar, Burhan Ahmad, Yun Long, Taesik Na, et al.. (2019). CAMEL: An Adaptive Camera With Embedded Machine Learning-Based Sensor Parameter Control. IEEE Journal on Emerging and Selected Topics in Circuits and Systems. 9(3). 498–508. 11 indexed citations
6.
Lee, Minah, Burhan Ahmad Mudassar, Taesik Na, & Saibal Mukhopadhyay. (2019). A Spatiotemporal Pre-processing Network for Activity Recognition under Rain.. British Machine Vision Conference. 178. 3 indexed citations
7.
Mudassar, Burhan Ahmad, Yun Long, Taesik Na, et al.. (2019). A Camera with Brain – Embedding Machine Learning in 3D Sensors. 680–685. 4 indexed citations
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Long, Yun, Taesik Na, & Saibal Mukhopadhyay. (2018). ReRAM-Based Processing-in-Memory Architecture for Recurrent Neural Network Acceleration. IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 26(12). 2781–2794. 82 indexed citations
11.
Ko, Jong Hwan, et al.. (2018). 3-D Stacked Image Sensor With Deep Neural Network Computation. IEEE Sensors Journal. 18(10). 4187–4199. 30 indexed citations
12.
Ko, Jong Hwan, Duck-Hwan Kim, Taesik Na, & Saibal Mukhopadhyay. (2018). Design and Analysis of a Neural Network Inference Engine Based on Adaptive Weight Compression. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 38(1). 109–121. 8 indexed citations
13.
Kim, Duck-Hwan, Taesik Na, Sudhakar Yalamanchili, & Saibal Mukhopadhyay. (2018). DeepTrain: A Programmable Embedded Platform for Training Deep Neural Networks. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 37(11). 2360–2370. 27 indexed citations
14.
Long, Yun, et al.. (2018). A ferroelectric FET based power-efficient architecture for data-intensive computing. 1–8. 21 indexed citations
15.
Ko, Jong Hwan, Taesik Na, & Saibal Mukhopadhyay. (2018). An Energy-Quality Scalable Wireless Image Sensor Node for Object-Based Video Surveillance. IEEE Journal on Emerging and Selected Topics in Circuits and Systems. 8(3). 591–602. 6 indexed citations
16.
Na, Taesik, Jong Hwan Ko, & Saibal Mukhopadhyay. (2017). Clock data compensation aware clock tree synthesis in digital circuits with adaptive clock generation. 1504–1509. 5 indexed citations
17.
Ko, Jong Hwan, Duck-Hwan Kim, Taesik Na, Jaeha Kung, & Saibal Mukhopadhyay. (2017). Adaptive weight compression for memory-efficient neural networks. 199–204. 29 indexed citations
18.
Ko, Jong Hwan, et al.. (2017). A Single-Chip Image Sensor Node With Energy Harvesting From a CMOS Pixel Array. IEEE Transactions on Circuits and Systems I Regular Papers. 64(9). 2295–2307. 15 indexed citations
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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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