World's Best Scientists 2026 revealed!
Sung-Bae Cho

Sung-Bae Cho

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Computer Science
Korea
2025

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 63 2741 2659 12 12 683 17152

Sung-Bae Cho publications per year

The chart shows the history of publications by Sung-Bae Cho between 1990 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Sung-Bae Cho published across 36 years, from 1990 to 2025, averaging 21 papers a year. Output peaked at 46 publications in 2006. 41 of the 757 publications appeared in the last two years.

No. of publications
10 20 30 40
Bar chart. Horizontal axis: year, 1990 to 2025. Vertical axis: number of publications, 0 to 46. Peak 46 publications in 2006. 1990: 3 publications 1991: 1 publication 1992: 3 publications 1993: 2 publications 1994: 3 publications 1995: 6 publications 1996: 7 publications 1997: 8 publications 1998: 10 publications 1999: 11 publications 2000: 21 publications 2001: 22 publications 2002: 29 publications 2003: 33 publications 2004: 28 publications 2005: 24 publications 2006: 46 publications 2007: 36 publications 2008: 40 publications 2009: 33 publications 2010: 38 publications 2011: 30 publications 2012: 26 publications 2013: 23 publications 2014: 22 publications 2015: 32 publications 2016: 18 publications 2017: 20 publications 2018: 19 publications 2019: 32 publications 2020: 24 publications 2021: 22 publications 2022: 25 publications 2023: 19 publications 2024: 15 publications 2025: 26 publications
1990 2025

757 publications in total across all disciplines

View publications per year as a table
Sung-Bae Cho: publications per year, 1990 to 2025
Year Publications
1990 3
1991 1
1992 3
1993 2
1994 3
1995 6
1996 7
1997 8
1998 10
1999 11
2000 21
2001 22
2002 29
2003 33
2004 28
2005 24
2006 46
2007 36
2008 40
2009 33
2010 38
2011 30
2012 26
2013 23
2014 22
2015 32
2016 18
2017 20
2018 19
2019 32
2020 24
2021 22
2022 25
2023 19
2024 15
2025 26
Total 757
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Sung-Bae Cho 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 Sung-Bae Cho 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, 682–691 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: 683 publications — 98th percentile

98% 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
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 14 683
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
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Sung-Bae Cho 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 Sung-Bae Cho 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, 62–63 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: 63 D-Index — 81st percentile

81% 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
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 63
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
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Research.com Recognitions

  • 2025 - Research.com Computer Science in Korea Leader Award
  • 2023 - Research.com Computer Science in Korea Leader Award
  • 2022 - Research.com Computer Science in Korea Leader Award

Overview

Sung-Bae Cho is affiliated with Yonsei University in South Korea. Their research spans several interdisciplinary fields predominantly within computer science and engineering. The main fields of study include Computer Science, with 131 publications, and Engineering, with 55 publications.

The subfields of Sung-Bae Cho's work reflect a focus on advanced computational methods and systems, including:

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering
  • Computer Networks and Communications
  • Information Systems

Their research covers various key topics, emphasizing practical and theoretical aspects of computing technology. These topics are:

  • Network Security and Intrusion Detection
  • Energy Load and Power Forecasting
  • Anomaly Detection Techniques and Applications
  • Neural Networks and Applications
  • Advanced Malware Detection Techniques
  • Stock Market Forecasting Methods
  • Recommender Systems and Techniques

Sung-Bae Cho has contributed to numerous publications frequently appearing in specific venues, including:

  • IEEE Access
  • Neurocomputing
  • Journal of KIISE
  • arXiv (Cornell University)
  • Expert Systems with Applications

A selection of recent papers illustrates the focus and diversity of their work:

  • "Obfuscated Malware Detection Using Deep Generative Model based on Global/Local Features" (2021), Computers & Security
  • "Optimizing CNN-LSTM neural networks with PSO for anomalous query access control" (2021), Neurocomputing
  • "3D-Convolutional Neural Network with Generative Adversarial Network and Autoencoder for Robust Anomaly Detection in Video Surveillance" (2020), International Journal of Neural Systems
  • "Towards effective detection of elderly falls with CNN-LSTM neural networks" (2022), Neurocomputing
  • "Explainable prediction of electric energy demand using a deep autoencoder with interpretable latent space" (2021), Expert Systems with Applications

The scientist's collaborations include frequent coauthors:

  • Seok-Jun Bu (21 publications)
  • Satchidananda Dehuri (15 publications)
  • Hyung-Jun Moon (13 publications)
  • Sandeep Kumar Satapathy (8 publications)
  • Sarat Chandra Nayak (7 publications)

In addition to journal articles, Sung-Bae Cho has authored books published by renowned academic publishers. These book publications include:

  • Intelligent Data Engineering and Automated Learning - IDEAL 2021 (2021), Springer Science+Business Media
  • Pattern Recognition (2023), Springer Science+Business Media
  • Biologically Inspired Techniques in Many-Criteria Decision Making (2020), Springer International Publishing

Best Publications

  • Predicting residential energy consumption using CNN-LSTM neural networks

    Tae Young Kim;Sung Bae Cho

  • Human activity recognition with smartphone sensors using deep learning neural networks

    Charissa Ann Ronao;Sung-Bae Cho

  • Location-based recommendation system using Bayesian user's preference model in mobile devices

    Moon-Hee Park;Jin-Hyuk Hong;Sung-Bae Cho

  • Combining multiple neural networks by fuzzy integral for robust classification

    Sung-Bae Cho;J.H. Kim

  • Application of interactive genetic algorithm to fashion design

    Hee Su Kim;Sung Bae Cho

  • Machine learning in DNA microarray analysis for cancer classification

    Sung-Bae Cho;Hong-Hee Won

  • Web traffic anomaly detection using C-LSTM neural networks

    Tae Young Kim;Sung Bae Cho

  • Multiple network fusion using fuzzy logic

    Sung-Bae Cho;J.H. Kim

  • Activity recognition using hierarchical hidden markov models on a smartphone with 3D accelerometer

    Young-Seol Lee;Sung-Bae Cho

  • Neural-network classifiers for recognizing totally unconstrained handwritten numerals

    Sung-Bae Cho

  • Zero-day malware detection using transferred generative adversarial networks based on deep autoencoders

    Jin Young Kim;Seok Jun Bu;Sung Bae Cho

  • Efficient anomaly detection by modeling privilege flows using hidden Markov model

    Sung-Bae Cho;Hyuk-Jang Park

  • A context-aware music recommendation system using fuzzy bayesian networks with utility theory

    Han-Saem Park;Ji-Oh Yoo;Sung-Bae Cho

  • Evolutionary neural networks for anomaly detection based on the behavior of a program

    Sang-Jun Han;Sung-Bae Cho

  • A comprehensive survey on functional link neural networks and an adaptive PSO–BP learning for CFLNN

    Satchidananda Dehuri;Sung-Bae Cho

  • Deep Convolutional Neural Networks for Human Activity Recognition with Smartphone Sensors

    Charissa Ann Ronao;Sung Bae Cho

  • An efficient genetic algorithm with less fitness evaluation by clustering

    Hee-Su Kim;Sung-Bae Cho

  • Fingerprint classification using one-vs-all support vector machines dynamically ordered with naïve Bayes classifiers

    Jin-Hyuk Hong;Jun-Ki Min;Ung-Keun Cho;Sung-Bae Cho

  • Hybrid Artificial Intelligent Systems

    Emilio Corchado;Vaclav Snasel;Ajith Abraham;Michał Woźniak

  • Estimating the efficiency of recognizing gender and affect from biological motion.

    Frank E. Pollick;Vaia Lestou;Jungwon Ryu;Sung Bae Cho

Frequent Co-Authors

Satchidananda Dehuri
Satchidananda Dehuri Fakir Mohan University
Ashish Ghosh
Ashish Ghosh Indian Statistical Institute
Frank E. Pollick
Frank E. Pollick University of Glasgow
Ajith Abraham
Ajith Abraham Sai University
Emilio Corchado
Emilio Corchado University of Salamanca
Xin Yao
Xin Yao Lingnan University
Hideyuki Takagi
Hideyuki Takagi Kyushu University
Vaclav Snasel
Vaclav Snasel Technical University of Ostrava
Bernard J. Baars
Bernard J. Baars Florida Atlantic University
Jong-Hwan Kim
Jong-Hwan Kim Korea Advanced Institute of Science and Technology

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