Mingoo Seok

5.6k total citations · 1 hit paper
186 papers, 4.2k citations indexed

About

Mingoo Seok is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Hardware and Architecture. According to data from OpenAlex, Mingoo Seok has authored 186 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 165 papers in Electrical and Electronic Engineering, 47 papers in Biomedical Engineering and 46 papers in Hardware and Architecture. Recurrent topics in Mingoo Seok's work include Low-power high-performance VLSI design (71 papers), Advanced Memory and Neural Computing (56 papers) and Advancements in Semiconductor Devices and Circuit Design (49 papers). Mingoo Seok is often cited by papers focused on Low-power high-performance VLSI design (71 papers), Advanced Memory and Neural Computing (56 papers) and Advancements in Semiconductor Devices and Circuit Design (49 papers). Mingoo Seok collaborates with scholars based in United States, China and South Korea. Mingoo Seok's co-authors include Dennis Sylvester, Jae-sun Seo, Zhewei Jiang, Shihui Yin, David Blaauw, David Blaauw, Gyouho Kim, Scott Hanson, Seongjong Kim and Gregory Chen and has published in prestigious journals such as Nature Communications, IEEE Transactions on Power Electronics and IEEE Journal of Solid-State Circuits.

In The Last Decade

Mingoo Seok

177 papers receiving 4.1k citations

Hit Papers

XNOR-SRAM: In-Memory Computing SRAM Macro for Binary/Tern... 2020 2026 2022 2024 2020 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mingoo Seok United States 34 3.7k 1.3k 716 481 335 186 4.2k
Arijit Raychowdhury United States 42 4.9k 1.3× 1.1k 0.9× 878 1.2× 1.1k 2.2× 564 1.7× 292 6.0k
Yvon Savaria Canada 25 2.4k 0.7× 706 0.6× 923 1.3× 253 0.5× 592 1.8× 541 3.4k
Massimo Alioto Singapore 38 3.8k 1.0× 1.4k 1.1× 1.2k 1.7× 582 1.2× 308 0.9× 302 4.7k
Chris H. Kim United States 39 4.6k 1.3× 1.2k 1.0× 994 1.4× 391 0.8× 373 1.1× 200 5.8k
Baker Mohammad United Arab Emirates 29 2.3k 0.6× 906 0.7× 378 0.5× 277 0.6× 179 0.5× 237 3.3k
Said F. Al-Sarawi Australia 33 3.4k 0.9× 1.2k 0.9× 662 0.9× 236 0.5× 174 0.5× 169 4.4k
Nan Sun United States 42 4.2k 1.2× 3.1k 2.4× 560 0.8× 238 0.5× 285 0.9× 246 5.1k
Shreyas Sen United States 29 1.6k 0.4× 1.1k 0.8× 695 1.0× 590 1.2× 487 1.5× 210 2.9k
Abbas Rahimi United States 35 3.0k 0.8× 527 0.4× 710 1.0× 1.2k 2.5× 432 1.3× 115 4.0k
Saibal Mukhopadhyay United States 39 4.4k 1.2× 404 0.3× 1.6k 2.2× 912 1.9× 628 1.9× 352 5.7k

Countries citing papers authored by Mingoo Seok

Since Specialization
Citations

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

Fields of papers citing papers by Mingoo Seok

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingoo Seok

This figure shows the co-authorship network connecting the top 25 collaborators of Mingoo Seok. A scholar is included among the top collaborators of Mingoo Seok 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 Mingoo Seok. Mingoo Seok 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.
Wang, Linfang, Junjie An, Jing Liu, et al.. (2025). A near-threshold memristive computing-in-memory engine for edge intelligence. Nature Communications. 16(1). 5897–5897. 2 indexed citations
2.
Oh, Jonghyun, et al.. (2024). iMCU: A 28-nm Digital In-Memory Computing-Based Microcontroller Unit for TinyML. IEEE Journal of Solid-State Circuits. 59(8). 2684–2693. 2 indexed citations
3.
Li, Jieyu, et al.. (2024). A 394-TOPS/W Matched Filter With Charge-Domain Computing for GPS Signal Acquisition. IEEE Journal of Solid-State Circuits. 60(5). 1805–1817.
4.
Krishnan, Gokul, et al.. (2024). 3-D In-Sensor Computing for Real-Time DVS Data Compression: 65-nm Hardware-Algorithm Co-Design. IEEE Solid-State Circuits Letters. 7. 119–122. 4 indexed citations
5.
He, Weifeng, et al.. (2023). A Fully-Digital Variation-Tolerant Runtime Detector for PCB-Level Probing Attack in a 28-nm CMOS. IEEE Solid-State Circuits Letters. 6. 245–248. 3 indexed citations
7.
Oh, Jonghyun, et al.. (2023). A Capacitorless External-Clock-Free Fully Synthesizable Digital LDO With Time-Based Load-State Decision and Asynchronous Recovery. IEEE Transactions on Power Electronics. 39(1). 985–997. 5 indexed citations
8.
Li, Jieyu, Weifeng He, Guanghui He, et al.. (2023). TICA: Timing Slack Inference and Clock Frequency Adaption Technique for a Deeply Pipelined Near-Threshold-Voltage Bitcoin Mining Core. IEEE Journal of Solid-State Circuits. 59(2). 605–615.
9.
He, Weifeng, et al.. (2023). CDAR-DRAM: Enabling Runtime DRAM Performance and Energy Optimization via In-Situ Charge Detection and Adaptive Data Restoration. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 42(9). 3078–3091. 4 indexed citations
10.
Oh, Jonghyun, Young‐Ha Hwang, Jun-Eun Park, Mingoo Seok, & Deog‐Kyoon Jeong. (2022). An Output-Capacitor-Free Synthesizable Digital LDO Using CMP-Triggered Oscillator and Droop Detector. IEEE Journal of Solid-State Circuits. 58(6). 1769–1781. 16 indexed citations
11.
He, Weifeng, et al.. (2022). A DFT-Compatible In-Situ Timing Error Detection and Correction Structure Featuring Low Area and Test Overhead. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 42(3). 1015–1028. 1 indexed citations
12.
Kirichenko, Dmitri E., Timur V. Filippov, Anubhav Sahu, et al.. (2022). Pulse Interfaces and Current Management Techniques for Serially Biased RSFQ Circuits. IEEE Transactions on Applied Superconductivity. 32(4). 1–7. 8 indexed citations
13.
Douglis, Fred, et al.. (2021). FLEET—Fast Lanes for Expedited Execution at 10 Terabits: Program Overview. IEEE Internet Computing. 25(3). 79–87. 5 indexed citations
14.
Yin, Shihui, Minkyu Kim, Soonwan Kwon, et al.. (2021). PIMCA: A 3.4-Mb Programmable In-Memory Computing Accelerator in 28nm for On-Chip DNN Inference. 1–2. 28 indexed citations
15.
He, Weifeng, et al.. (2020). MEDAC: A Metastability Condition Detection and Correction Technique for a Near-Threshold-Voltage Multi-Voltage-/Frequency-Domain Network-on-Chip. IEEE Journal of Solid-State Circuits. 56(7). 2270–2280. 5 indexed citations
16.
Yang, Minhao, et al.. (2018). An Area-Efficient Microprocessor-Based SoC With an Instruction-Cache Transformable to an Ambient Temperature Sensor and a Physically Unclonable Function. IEEE Journal of Solid-State Circuits. 53(3). 728–737. 27 indexed citations
17.
Kinget, Peter R., et al.. (2018). <inline-formula> <tex-math notation="LaTeX">$In~Situ$ </tex-math> </inline-formula> and In-Field Technique for Monitoring and Decelerating NBTI in 6T-SRAM Register Files. IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 26(11). 2241–2253. 6 indexed citations
18.
19.
Seok, Mingoo, et al.. (2017). A Fully Integrated Digital Low-Dropout Regulator Based on Event-Driven Explicit Time-Coding Architecture. IEEE Journal of Solid-State Circuits. 52(11). 3071–3080. 51 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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