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Jae-sun Seo

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 40 9219 8952 3927 3764 179 7801

Jae-sun Seo publications per year

The chart shows the history of publications by Jae-sun Seo between 2007 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Jae-sun Seo published across 19 years, from 2007 to 2025, averaging 13.7 papers a year. Output peaked at 29 publications in 2020. 34 of the 261 publications appeared in the last two years.

No. of publications
5 10 15 20 25
Bar chart. Horizontal axis: year, 2007 to 2025. Vertical axis: number of publications, 0 to 29. Peak 29 publications in 2020. 2007: 5 publications 2008: 4 publications 2009: 2 publications 2010: 3 publications 2011: 4 publications 2012: 3 publications 2013: 4 publications 2014: 3 publications 2015: 15 publications 2016: 18 publications 2017: 20 publications 2018: 17 publications 2019: 23 publications 2020: 29 publications 2021: 22 publications 2022: 27 publications 2023: 28 publications 2024: 18 publications 2025: 16 publications
2007 2025

261 publications in total across all disciplines

View publications per year as a table
Jae-sun Seo: publications per year, 2007 to 2025
Year Publications
2007 5
2008 4
2009 2
2010 3
2011 4
2012 3
2013 4
2014 3
2015 15
2016 18
2017 20
2018 17
2019 23
2020 29
2021 22
2022 27
2023 28
2024 18
2025 16
Total 261
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Jae-sun Seo publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Jae-sun Seo sits on this spectrum.

No. of scientists
200 400 600
Bar chart with 97 bars. Horizontal axis: publications, 32–41 to 991+. Vertical axis: number of scientists, 0 to 609. Most scientists, 609, have 142–151 publications. The last bar groups every scientist with 991 publications or more. The highlighted bar, 172–181 publications, is where this scientist sits. 32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32–41 publications 991+

This scientist: 179 publications — 38th percentile

38% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

View publications distribution as a table
Number of Computer Science scientists by publication count, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
Publications Scientists This scientist
32–41 7
42–51 22
52–61 82
62–71 134
72–81 249
82–91 324
92–101 421
102–111 420
112–121 497
122–131 544
132–141 555
142–151 609
152–161 559
162–171 534
172–181 556 179
182–191 583
192–201 519
202–211 508
212–221 490
222–231 437
232–241 423
242–251 408
252–261 377
262–271 301
272–281 335
282–291 320
292–301 293
302–311 250
312–321 238
322–331 206
332–341 209
342–351 208
352–361 162
362–371 176
372–381 127
382–391 158
392–401 128
402–411 104
412–421 94
422–431 99
432–441 83
442–451 108
452–461 73
462–471 77
472–481 69
482–491 84
492–501 62
502–511 54
512–521 57
522–531 51
532–541 51
542–551 32
552–561 38
562–571 28
572–581 43
582–591 33
592–601 41
602–611 32
612–621 28
622–631 25
632–641 27
642–651 17
652–661 20
662–671 17
672–681 15
682–691 14
692–701 21
702–711 13
712–721 12
722–731 19
732–741 14
742–751 12
752–761 10
762–771 10
772–781 11
782–791 10
792–801 11
802–811 8
812–821 8
822–831 7
832–841 11
842–851 10
852–861 5
862–871 9
872–881 4
882–891 6
892–901 3
902–911 6
912–921 3
922–931 2
932–941 2
942–951 2
952–961 3
962–971 3
972–981 3
982–990 5
991+ 100
Download as CSV

Jae-sun Seo D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Jae-sun Seo sits on this spectrum.

No. of scientists
200 400 600 800
Bar chart with 52 bars. Horizontal axis: D-Index, 30–31 to 131+. Vertical axis: number of scientists, 0 to 990. Most scientists, 990, have 36–37 D-Index. The last bar groups every scientist with 131 D-Index or more. The highlighted bar, 40–41 D-Index, is where this scientist sits. 30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30–31 D-Index 131+

This scientist: 40 D-Index — 37th percentile

37% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

View D-Index distribution as a table
Number of Computer Science scientists by D-index, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
D-Index Scientists This scientist
30–31 879
32–33 983
34–35 918
36–37 990
38–39 968
40–41 907 40
42–43 821
44–45 763
46–47 689
48–49 543
50–51 543
52–53 518
54–55 500
56–57 458
58–59 400
60–61 337
62–63 308
64–65 292
66–67 249
68–69 213
70–71 192
72–73 189
74–75 165
76–77 139
78–79 119
80–81 121
82–83 113
84–85 88
86–87 87
88–89 75
90–91 69
92–93 57
94–95 46
96–97 38
98–99 34
100–101 36
102–103 27
104–105 37
106–107 18
108–109 31
110–111 19
112–113 16
114–115 12
116–117 20
118–119 15
120–121 5
122–123 20
124–125 8
126–127 5
128–129 7
130 3
131+ 98
Download as CSV

Overview

Jae-sun Seo is affiliated with Cornell University in the United States and has an extensive research portfolio primarily located in the fields of engineering and computer science. The scientist's work spans several specialized subfields including electrical and electronic engineering, computer vision and pattern recognition, artificial intelligence, hardware and architecture, and cellular and molecular neuroscience.

The main topics covered in Seo's research include advanced memory and neural computing, ferroelectric and negative capacitance devices, advanced neural network applications, semiconductor materials and devices, CCD and CMOS imaging sensors, domain adaptation and few-shot learning, as well as neuroscience and neural engineering.

Seo has published multiple papers in significant venues, with a high concentration of publications in journals and conferences focused on solid-state circuits and electronic devices. Frequent publication venues include:

  • IEEE Journal of Solid-State Circuits
  • arXiv (Cornell University)
  • IEEE Solid-State Circuits Letters
  • IEEE Transactions on Electron Devices
  • IEEE Journal on Emerging and Selected Topics in Circuits and Systems

Among recent publications, notable papers include:

  • "XNOR-SRAM: In-Memory Computing SRAM Macro for Binary/Ternary Deep Neural Networks," 2020, IEEE Journal of Solid-State Circuits
  • "C3SRAM: An In-Memory-Computing SRAM Macro Based on Robust Capacitive Coupling Computing Mechanism," 2020, IEEE Journal of Solid-State Circuits
  • "Recent Advances and Future Prospects for Memristive Materials, Devices, and Systems," 2023, ACS Nano
  • "Benchmarking TinyML Systems: Challenges and Direction," 2020, arXiv (Cornell University)
  • "High-Throughput In-Memory Computing for Binary Deep Neural Networks With Monolithically Integrated RRAM and 90-nm CMOS," 2020, IEEE Transactions on Electron Devices

Seo has collaborated frequently with several co-authors, reflecting ongoing partnerships in their research areas. Frequent co-authors include:

  • Jian Meng
  • Yu Cao
  • Deliang Fan
  • Injune Yeo
  • Shihui Yin

Their research contributions have concentrated heavily on the development of memory technologies and neural computing architectures, illustrating a technical focus on hardware-related implementations and enhancements in neural network systems.

Best Publications

  • Throughput-Optimized OpenCL-based FPGA Accelerator for Large-Scale Convolutional Neural Networks

    Naveen Suda;Vikas Chandra;Ganesh Dasika;Abinash Mohanty

  • XNOR-SRAM: In-Memory Computing SRAM Macro for Binary/Ternary Deep Neural Networks

    Shihui Yin;Zhewei Jiang;Jae-Sun Seo;Mingoo Seok

  • A 45nm CMOS neuromorphic chip with a scalable architecture for learning in networks of spiking neurons

    Jae-sun Seo;Bernard Brezzo;Yong Liu;Benjamin D. Parker

  • Optimizing Loop Operation and Dataflow in FPGA Acceleration of Deep Convolutional Neural Networks

    Yufei Ma;Yu Cao;Sarma Vrudhula;Jae-sun Seo

  • Optimizing the Convolution Operation to Accelerate Deep Neural Networks on FPGA

    Yufei Ma;Yu Cao;Sarma Vrudhula;Jae-sun Seo

  • Large-Scale Neuromorphic Spiking Array Processors: A Quest to Mimic the Brain

    Chetan Singh Thakur;Jamal Lottier Molin;Gert Cauwenberghs;Giacomo Indiveri

  • C3SRAM: An In-Memory-Computing SRAM Macro Based on Robust Capacitive Coupling Computing Mechanism

    Zhewei Jiang;Shihui Yin;Jae-Sun Seo;Mingoo Seok

  • XNOR-RRAM: A scalable and parallel resistive synaptic architecture for binary neural networks

    Xiaoyu Sun;Shihui Yin;Xiaochen Peng;Rui Liu

  • Scalable and modularized RTL compilation of Convolutional Neural Networks onto FPGA

    Yufei Ma;Naveen Suda;Yu Cao;Jae-sun Seo

  • Specifications of Nanoscale Devices and Circuits for Neuromorphic Computational Systems

    B. Rajendran;Yong Liu;Jae-sun Seo;K. Gopalakrishnan

  • Fully parallel write/read in resistive synaptic array for accelerating on-chip learning.

    Ligang Gao;I-Ting Wang;Pai-Yu Chen;Sarma Vrudhula

  • XNOR-SRAM: In-Memory Computing SRAM Macro for Binary/Ternary Deep Neural Networks

    Zhewei Jiang;Shihui Yin;Mingoo Seok;Jae-sun Seo

  • Mitigating Effects of Non-ideal Synaptic Device Characteristics for On-chip Learning

    Pai-Yu Chen;Binbin Lin;I-Ting Wang;Tuo-Hung Hou

  • An automatic RTL compiler for high-throughput FPGA implementation of diverse deep convolutional neural networks

    Yufei Ma;Yu Cao;Sarma Vrudhula;Jae-sun Seo

  • Low-Power, Adaptive Neuromorphic Systems: Recent Progress and Future Directions

    Arindam Basu;Jyotibdha Acharya;Tanay Karnik;Huichu Liu

  • High-Throughput In-Memory Computing for Binary Deep Neural Networks with Monolithically Integrated RRAM and 90nm CMOS

    Shihui Yin;Xiaoyu Sun;Shimeng Yu;Jae-sun Seo

  • ALAMO: FPGA acceleration of deep learning algorithms with a modularized RTL compiler

    Yufei Ma;Naveen Suda;Yu Cao;Sarma B. K. Vrudhula

  • Technology-design co-optimization of resistive cross-point array for accelerating learning algorithms on chip

    Pai-Yu Chen;Deepak Kadetotad;Zihan Xu;Abinash Mohanty

  • Reconfigurable and customizable general-purpose circuits for neural networks

    Bernard V. Brezzo;Leland Chang;Steven K. Esser;Daniel J. Friedman

  • A Survey on the Optimization of Neural Network Accelerators for Micro-AI On-Device Inference

    Unknown

  • Monolithically Integrated RRAM- and CMOS-Based In-Memory Computing Optimizations for Efficient Deep Learning

    Shihui Yin;Jae-sun Seo;Yulhwa Kim;Xu Han

  • A 2.5 mW 80 dB DR 36 dB SNDR 22 MS/s Logarithmic Pipeline ADC

    Jongwoo Lee;J. Kang;Sunghyun Park;Jae-sun Seo

  • High-Throughput In-Memory Computing for Binary Deep Neural Networks With Monolithically Integrated RRAM and 90-nm CMOS

    Shihui Yin;Xiaoyu Sun;Shimeng Yu;Jae-Sun Seo

Frequent Co-Authors

Yu Cao
Yu Cao University of Minnesota
Shimeng Yu
Shimeng Yu Georgia Institute of Technology
Sarma Vrudhula
Sarma Vrudhula Arizona State University
Chaitali Chakrabarti
Chaitali Chakrabarti Arizona State University
Mingoo Seok
Mingoo Seok Columbia University
Dennis Sylvester
Dennis Sylvester University of Michigan–Ann Arbor
David Blaauw
David Blaauw University of Michigan–Ann Arbor
Pai-Yu Chen
Pai-Yu Chen Arizona State University
Leland Chang
Leland Chang IBM Research - Thomas J. Watson Research Center
Bipin Rajendran
Bipin Rajendran King's College London

External Links

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Best Scientists Citing Jae-sun Seo

Shimeng Yu

Shimeng Yu

Georgia Institute of Technology

Publications: 69

Kaushik Roy

Kaushik Roy

Purdue University West Lafayette

Publications: 51

Dharmendra S. Modha

Dharmendra S. Modha

IBM (United States)

Publications: 40

Arindam Basu

Arindam Basu

City University of Hong Kong

Publications: 28

Giacomo Indiveri

Giacomo Indiveri

University of Zurich

Publications: 24

Yanzhi Wang

Yanzhi Wang

Northeastern University

Publications: 24

Meng-Fan Chang

Meng-Fan Chang

National Tsing Hua University

Publications: 23

Bipin Rajendran

Bipin Rajendran

King's College London

Publications: 21

Hao Yu

Hao Yu

South China University of Technology

Publications: 17

Hyunsang Hwang

Hyunsang Hwang

Pohang University of Science and Technology

Publications: 17

Pai-Yu Chen

Pai-Yu Chen

Arizona State University

Publications: 17

Luca Benini

Luca Benini

ETH Zurich

Publications: 16

Tushar Krishna

Tushar Krishna

Georgia Institute of Technology

Publications: 15

Xuehai Qian

Xuehai Qian

Tsinghua University

Publications: 15

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Jacques-Olivier Klein

University of Paris-Saclay

Publications: 15

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Jong-Ho Lee

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Publications: 14

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