World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
59
Citations
15229
World Ranking
1722
National Ranking
692

Sung-Mo Kang publication distribution in Electronics and Electrical Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Electronics and Electrical Engineering in 2026. The highlighted bar marks where Sung-Mo Kang sits on this spectrum.

34–53 publications: 24 scientists 54–73 publications: 52 scientists 74–93 publications: 114 scientists 94–113 publications: 203 scientists 114–133 publications: 269 scientists 134–153 publications: 355 scientists 154–173 publications: 403 scientists 174–193 publications: 445 scientists 194–213 publications: 430 scientists 214–233 publications: 431 scientists 234–253 publications: 399 scientists 254–273 publications: 366 scientists 274–293 publications: 335 scientists 294–313 publications: 300 scientists 314–333 publications: 276 scientists 334–353 publications: 250 scientists 354–373 publications: 214 scientists 374–393 publications: 187 scientists 394–413 publications: 152 scientists 414–433 publications: 169 scientists 434–453 publications: 147 scientists 454–473 publications: 111 scientists 474–493 publications: 117 scientists 494–513 publications: 103 scientists 514–533 publications: 99 scientists 534–553 publications: 92 scientists 554–573 publications: 75 scientists 574–593 publications: 58 scientists 594–613 publications: 69 scientists 614–633 publications: 50 scientists 634–653 publications: 62 scientists 654–673 publications: 54 scientists 674–693 publications: 44 scientists 694–713 publications: 37 scientists 714–733 publications: 28 scientists 734–753 publications: 26 scientists 754–773 publications: 26 scientists 774–793 publications: 19 scientists 794–813 publications: 23 scientists 814–833 publications: 20 scientists 834–853 publications: 16 scientists 854–873 publications: 20 scientists 874–893 publications: 11 scientists 894–913 publications: 11 scientists 914–933 publications: 16 scientists 934–953 publications: 13 scientists 954–973 publications: 10 scientists 974–993 publications: 11 scientists 994–1,013 publications: 9 scientists 1,014–1,033 publications: 9 scientists 1,034–1,053 publications: 10 scientists 1,054–1,064 publications: 6 scientists 1,065+ publications: 99 scientists
34 publications 1,065+

This scientist: 451 publications — 80th percentile

80% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,065 publications or more.

Sung-Mo Kang D-index placement in Electronics and Electrical Engineering in 2026

The chart shows the D-index (discipline H-index) distribution of Electronics and Electrical Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Sung-Mo Kang sits on this spectrum.

30 D-Index: 178 scientists 31 D-Index: 257 scientists 32 D-Index: 263 scientists 33 D-Index: 262 scientists 34 D-Index: 244 scientists 35 D-Index: 236 scientists 36 D-Index: 211 scientists 37 D-Index: 220 scientists 38 D-Index: 214 scientists 39 D-Index: 214 scientists 40 D-Index: 205 scientists 41 D-Index: 187 scientists 42 D-Index: 194 scientists 43 D-Index: 201 scientists 44 D-Index: 155 scientists 45 D-Index: 189 scientists 46 D-Index: 148 scientists 47 D-Index: 160 scientists 48 D-Index: 134 scientists 49 D-Index: 130 scientists 50 D-Index: 141 scientists 51 D-Index: 156 scientists 52 D-Index: 108 scientists 53 D-Index: 130 scientists 54 D-Index: 112 scientists 55 D-Index: 97 scientists 56 D-Index: 111 scientists 57 D-Index: 102 scientists 58 D-Index: 108 scientists 59 D-Index: 120 scientists 60 D-Index: 103 scientists 61 D-Index: 93 scientists 62 D-Index: 92 scientists 63 D-Index: 74 scientists 64 D-Index: 77 scientists 65 D-Index: 73 scientists 66 D-Index: 64 scientists 67 D-Index: 69 scientists 68 D-Index: 60 scientists 69 D-Index: 39 scientists 70 D-Index: 57 scientists 71 D-Index: 59 scientists 72 D-Index: 46 scientists 73 D-Index: 49 scientists 74 D-Index: 38 scientists 75 D-Index: 35 scientists 76 D-Index: 32 scientists 77 D-Index: 35 scientists 78 D-Index: 31 scientists 79 D-Index: 22 scientists 80 D-Index: 34 scientists 81 D-Index: 31 scientists 82 D-Index: 34 scientists 83 D-Index: 23 scientists 84 D-Index: 18 scientists 85 D-Index: 30 scientists 86 D-Index: 19 scientists 87 D-Index: 19 scientists 88 D-Index: 20 scientists 89 D-Index: 8 scientists 90 D-Index: 17 scientists 91 D-Index: 7 scientists 92 D-Index: 14 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 12 scientists 97 D-Index: 10 scientists 98 D-Index: 10 scientists 99 D-Index: 12 scientists 100 D-Index: 16 scientists 101 D-Index: 5 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 8 scientists 105 D-Index: 9 scientists 106 D-Index: 13 scientists 107 D-Index: 4 scientists 108 D-Index: 5 scientists 109 D-Index: 10 scientists 110 D-Index: 8 scientists 111+ D-Index: 96 scientists
30 D-Index 111+

This scientist: 59 D-Index — 75th percentile

75% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 111 D-Index or more.

Research.com Recognitions

  • 2001 - ACM Fellow For outstanding contributions to computer-aided design for performance and reliability of CMOS VLSI and optoelectronic circuits and systems for high performance computing and communications.
  • 1990 - IEEE Fellow For technical contributions to and leadership in the development of computer-aided design of very-large-scale integrated (VLSI) circuits and systems.

Overview

Sung-Mo Kang is a researcher affiliated with the Korea Advanced Institute of Science and Technology in South Korea. Their work spans across several fields including engineering and neuroscience, with a focus on electrical and electronic engineering as well as cellular and molecular neuroscience. Their research portfolio is particularly concentrated on advanced memory and neural computing, neuroscience and neural engineering, and ferroelectric and negative capacitance devices.

The scientist has contributed to the body of knowledge on neural dynamics and brain function, CCD and CMOS imaging sensors, photoreceptor and optogenetics research, and neural networks stability and synchronization. This multidisciplinary approach aligns with their research interests bridging electronics and biological systems.

Frequent collaboration has been a notable aspect of their career, working extensively with coauthors such as Xiaoyuan Wang, Herbert Ho-Ching Iu, Jason K. Eshraghian, Rajeev Kumar Ranjan, and Xinhui Chen. These partnerships have supported a productive output of scholarly articles primarily published in IEEE journals.

Publications are predominantly found in the following venues:

  • IEEE Transactions on Circuits and Systems I Regular Papers
  • IEEE Circuits and Systems Magazine
  • Nonlinear Dynamics
  • IEEE Transactions on Circuits & Systems II Express Briefs
  • IEEE Journal on Emerging and Selected Topics in Circuits and Systems

Among recent papers authored or coauthored by Sung-Mo Kang are:

  • "High-Density Memristor-CMOS Ternary Logic Family" (2020), IEEE Transactions on Circuits and Systems I Regular Papers
  • "Theoretical Foundations of Memristor Cellular Nonlinear Networks: A DRM2-Based Method to Design Memcomputers With Dynamic Memristors" (2020), IEEE Transactions on Circuits and Systems I Regular Papers
  • "Low-Variance Memristor-Based Multi-Level Ternary Combinational Logic" (2022), IEEE Transactions on Circuits and Systems I Regular Papers
  • "Gradient-Based Neuromorphic Learning on Dynamical RRAM Arrays" (2022), IEEE Journal on Emerging and Selected Topics in Circuits and Systems
  • "A Memristor Emulation in 180-nm CMOS Process for Spiking Signal Generation and Chaos Application" (2024), IEEE Transactions on Circuits and Systems I Regular Papers

Sung-Mo Kang's contributions have been recognized by two major fellowships. They were named an ACM Fellow in 2001, cited for contributions to computer-aided design for the performance and reliability of CMOS VLSI and optoelectronic circuits and systems. Earlier, in 1990, they were awarded IEEE Fellow status for technical contributions and leadership in the development of computer-aided design of very-large-scale integrated circuits and systems.

Best Publications

  • Memristive devices and systems

    L.O. Chua;Sung Mo Kang

  • CMOS Digital Integrated Circuits Analysis & Design

    Sung-Mo (Steve) Kang;Yusuf Leblebici

  • Memristor Applications for Programmable Analog ICs

    Sangho Shin;Kyungmin Kim;Sung-Mo Kang

  • An exact solution to the transistor sizing problem for CMOS circuits using convex optimization

    S.S. Sapatnekar;V.B. Rao;P.M. Vaidya;Sung-Mo Kang

  • Section-wise piecewise-linear functions: Canonical representation, properties, and applications

    L.O. Chua;Sung Mo Kang

  • Accurate simulation of power dissipation in VLSI circuits

    S.M. Kang

  • Cell-level placement for improving substrate thermal distribution

    Ching-Han Tsai;Sung-Mo Kang

  • Compact Models for Memristors Based on Charge-Flux Constitutive Relationships

    Sangho Shin;Kyungmin Kim;Sung-Mo Kang

  • A simple rate-equation-based thermal VCSEL model

    P.V. Mena;J.J. Morikuni;S.-M. Kang;A.V. Harton

  • Coupling-driven signal encoding scheme for low-power interface design

    Ki-Wook Kim;Kwang-Hyun-Baek;N. Shanbhag;C.L. Liu

  • ILLIADS-T: an electrothermal timing simulator for temperature-sensitive reliability diagnosis of CMOS VLSI chips

    Yi-Kan Cheng;P. Raha;Chin-Chi Teng;E. Rosenbaum

  • Memristors: Devices, Models, and Applications [Scanning the Issue]

    Pinaki Mazumder;Sung Mo Kang;Rainer Waser

  • A comprehensive circuit-level model of vertical-cavity surface-emitting lasers

    P.V. Mena;J.J. Morikuni;S.-M. Kang;A.V. Harton

  • Modeling and simulation of interconnection delays and crosstalks in high-speed integrated circuits

    D.S. Gao;A.T. Yang;S.M. Kang

  • Metal--Metal Matrix (M /sup 3/) for High-Speed MOS VLSI Layout

    Sung Mo Kang

  • Development of a wide tuning range MEMS tunable capacitor for wireless communication systems

    Jun Zou;Chang Liu;J. Schutt-Aine;Jinghong Chen

  • Electrothermal Analysis of VLSI Systems

    Yi-Kan Cheng;Ching-Chi Teng;Sung-Mo Kang;Ching-Han Tsai

  • Worst-case analysis and optimization of VLSI circuit performances

    A. Dharchoudhury;S.M. Kang

  • A global representation of multidimensional piecewise-linear functions with linear partitions

    S. Kang;L. Chua

  • Interconnect thermal modeling for accurate simulation of circuit timing and reliability

    Danqing Chen;Erhong Li;E. Rosenbaum;Sung-Mo Kang

Frequent Co-Authors

Yusuf Leblebici
Yusuf Leblebici École Polytechnique Fédérale de Lausanne
Elyse Rosenbaum
Elyse Rosenbaum University of Illinois at Urbana-Champaign
Chulwoo Kim
Chulwoo Kim Korea University
Sachin S. Sapatnekar
Sachin S. Sapatnekar University of Minnesota
Ali Shakouri
Ali Shakouri Purdue University West Lafayette
Ibrahim N. Hajj
Ibrahim N. Hajj University of Illinois at Urbana-Champaign
Kwyro Lee
Kwyro Lee Korea Advanced Institute of Science and Technology
Chang Liu
Chang Liu University of Chinese Academy of Sciences
Ilesanmi Adesida
Ilesanmi Adesida University of Illinois at Urbana-Champaign
M. S. Ünlü
M. S. Ünlü Boston University

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