Mingu Kang

2.1k total citations
70 papers, 1.2k citations indexed

About

Mingu Kang is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Hardware and Architecture. According to data from OpenAlex, Mingu Kang has authored 70 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Electrical and Electronic Engineering, 16 papers in Artificial Intelligence and 10 papers in Hardware and Architecture. Recurrent topics in Mingu Kang's work include Advanced Memory and Neural Computing (25 papers), Ferroelectric and Negative Capacitance Devices (18 papers) and Low-power high-performance VLSI design (11 papers). Mingu Kang is often cited by papers focused on Advanced Memory and Neural Computing (25 papers), Ferroelectric and Negative Capacitance Devices (18 papers) and Low-power high-performance VLSI design (11 papers). Mingu Kang collaborates with scholars based in United States, South Korea and Japan. Mingu Kang's co-authors include Naresh R. Shanbhag, Sujan K. Gonugondla, Ameya D. Patil, Min-Sun Keel, Sean Eilert, Sungmin Lim, Youn Tae Kim, Seonwook Park, Sérgio Pereira and Dong‐Geun Yoo and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Advanced Functional Materials.

In The Last Decade

Mingu Kang

57 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
Mingu Kang United States 19 900 291 212 158 108 70 1.2k
Rajiv Joshi United States 19 1.2k 1.3× 125 0.4× 347 1.6× 71 0.4× 94 0.9× 130 1.4k
Dongjoo Shin South Korea 17 916 1.0× 339 1.2× 163 0.8× 642 4.1× 110 1.0× 64 1.4k
Liang Chang China 17 533 0.6× 150 0.5× 59 0.3× 100 0.6× 43 0.4× 92 895
Alexander Fish Israel 28 1.9k 2.1× 244 0.8× 456 2.2× 190 1.2× 92 0.9× 163 2.4k
Santosh Kumar Vishvakarma India 22 1.3k 1.5× 98 0.3× 238 1.1× 54 0.3× 66 0.6× 149 1.6k
Bo Liu China 16 408 0.5× 303 1.0× 96 0.5× 69 0.4× 88 0.8× 119 1.0k
Shuangchen Li China 9 573 0.6× 119 0.4× 156 0.7× 41 0.3× 111 1.0× 25 682
Arindam Sanyal United States 18 958 1.1× 125 0.4× 97 0.5× 61 0.4× 88 0.8× 94 1.2k
Yasuhiko Nakashima Japan 17 411 0.5× 290 1.0× 187 0.9× 141 0.9× 222 2.1× 182 971
Nima Karimian United States 16 233 0.3× 107 0.4× 272 1.3× 100 0.6× 57 0.5× 44 785

Countries citing papers authored by Mingu Kang

Since Specialization
Citations

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

Fields of papers citing papers by Mingu Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingu Kang

This figure shows the co-authorship network connecting the top 25 collaborators of Mingu Kang. A scholar is included among the top collaborators of Mingu Kang 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 Mingu Kang. Mingu Kang 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.
Kang, Mingu, Jinglan Hong, & Suntae Kim. (2025). Harnessing technical indicators with deep learning based price forecasting for cryptocurrency trading. Physica A Statistical Mechanics and its Applications. 660. 130359–130359. 1 indexed citations
2.
Bakir, Muhannad S., et al.. (2025). Exploiting Chiplet Integration Technology for Fast High-Capacity DRAM Modules. IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 33(5). 1202–1214.
3.
Pan, Yue, Zihan Xia, Minxuan Zhou, et al.. (2025). Stratum: System-Hardware Co-Design with Tiered Monolithic 3D-Stackable DRAM for Efficient MoE Serving. ArXiv.org. 1–17.
4.
Kang, Mingu, et al.. (2025). End-to-End Acceleration of Generative Models With Runtime Regularized KV Cache Management. IEEE Journal on Emerging and Selected Topics in Circuits and Systems. 15(2). 217–230.
5.
Oh, Jungyeop, Sang‐Hun Lee, Sung-Kyu Kim, et al.. (2024). Ultrathin All‐Solid‐State MoS 2 ‐Based Electrolyte Gated Synaptic Transistor with Tunable Organic–Inorganic Hybrid Film. Advanced Science. 11(23). e2308847–e2308847. 19 indexed citations
6.
Wu, Xiangjin, Zheyu Li, Anton E. O. Persson, et al.. (2024). SpecPCM: A Low-Power PCM-Based In-Memory Computing Accelerator for Full-Stack Mass Spectrometry Analysis. IEEE Journal on Exploratory Solid-State Computational Devices and Circuits. 10. 161–169. 2 indexed citations
7.
Li, Yidong, et al.. (2023). FreFlex: A High-Performance Processor for Convolution and Attention Computations via Sparsity-Adaptive Dynamic Frequency Boosting. IEEE Journal of Solid-State Circuits. 59(3). 855–866. 6 indexed citations
8.
9.
Yoon, Sang Sun, Mingu Kang, Seungwoo Lee, et al.. (2023). Intracellular delivery of nuclear localization sequence peptide mitigates COVID-19 by inhibiting nuclear transport of inflammation-associated transcription factors. Molecular Therapy. 32(1). 227–240. 1 indexed citations
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Cho, Seokhee, et al.. (2023). Split WL 6T SRAM-Based Bit Serial Computing-in-Memory Macro With High Signal Margin and High Throughput. IEEE Transactions on Circuits & Systems II Express Briefs. 71(4). 1869–1873. 1 indexed citations
13.
Kang, Mingu, et al.. (2022). On-the-Fly Lowering Engine: Offloading Data Layout Conversion for Convolutional Neural Networks. IEEE Access. 10. 79730–79746. 2 indexed citations
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15.
Kang, Mingu, et al.. (2021). Classification of Mental Stress Using CNN-LSTM Algorithms with Electrocardiogram Signals. Journal of Healthcare Engineering. 2021. 1–11. 39 indexed citations
16.
Kang, Mingu, et al.. (2015). Energy-efficient and high throughput sparse distributed memory architecture. 2505–2508. 22 indexed citations
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18.
Kim, Dong-Joon, et al.. (2008). Magnetic Flux Saturation Analysis of Matching Transformer Considering Characteristic of Dynamic Voltage Restorer(DVR). The Transactions of The Korean Institute of Electrical Engineers. 57(3). 236–243.
19.
Kang, Mingu, et al.. (2004). Development of PC-based PVC scheduling system connected with ERP system. 제어로봇시스템학회 국제학술대회 논문집. 945–949. 2 indexed citations
20.
Kang, Mingu, et al.. (2002). Scheduling model for a polymerization process with batch and continuous operations. 제어로봇시스템학회 국제학술대회 논문집. 745–750. 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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