World's Best Scientists 2026 revealed!
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Heung-Il Suk

Heung-Il Suk

Korea University
Korea

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 42 8172 7941 81 81 187 13143

Heung-Il Suk publications per year

The chart shows the history of publications by Heung-Il Suk between 2006 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Heung-Il Suk published across 20 years, from 2006 to 2025, averaging 12.1 papers a year. Output peaked at 28 publications in 2021. 32 of the 242 publications appeared in the last two years.

No. of publications
5 10 15 20 25
Bar chart. Horizontal axis: year, 2006 to 2025. Vertical axis: number of publications, 0 to 28. Peak 28 publications in 2021. 2006: 2 publications 2007: 1 publication 2008: 6 publications 2009: 2 publications 2010: 6 publications 2011: 6 publications 2012: 4 publications 2013: 12 publications 2014: 18 publications 2015: 16 publications 2016: 16 publications 2017: 14 publications 2018: 7 publications 2019: 16 publications 2020: 15 publications 2021: 28 publications 2022: 18 publications 2023: 23 publications 2024: 17 publications 2025: 15 publications
2006 2025

242 publications in total across all disciplines

View publications per year as a table
Heung-Il Suk: publications per year, 2006 to 2025
Year Publications
2006 2
2007 1
2008 6
2009 2
2010 6
2011 6
2012 4
2013 12
2014 18
2015 16
2016 16
2017 14
2018 7
2019 16
2020 15
2021 28
2022 18
2023 23
2024 17
2025 15
Total 242
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Heung-Il Suk 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 Heung-Il Suk 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, 182–191 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: 187 publications — 41st percentile

41% 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
182–191 583 187
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

Heung-Il Suk 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 Heung-Il Suk 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, 42–43 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: 42 D-Index — 43rd percentile

43% 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 42
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

Heung-Il Suk is affiliated with Korea University in South Korea and has a research profile encompassing neuroscience, computer science, and medicine. Their work spans multiple subfields such as cognitive neuroscience, artificial intelligence, radiology, nuclear medicine and imaging, computer vision and pattern recognition, and neurology. The scientist's main research topics include machine learning applications in healthcare, functional brain connectivity studies, EEG and brain-computer interfaces, neural dynamics and brain function, brain tumor detection and classification, radiomics and machine learning in medical imaging, and the use of AI in cancer detection.

The scientist has published frequently in a variety of venues including:

  • arXiv (Cornell University)
  • UNC Libraries
  • IEEE Transactions on Neural Networks and Learning Systems
  • NeuroImage
  • Korean Journal of Radiology

Frequent co-authors collaborating with Heung-Il Suk are:

  • Eunjin Jeon
  • Jee Seok Yoon
  • Wonjun Ko
  • Wonsik Jung
  • Eunsong Kang

Selected recent papers authored or co-authored by Heung-Il Suk include:

  • Multi-Scale Neural Network for EEG Representation Learning in BCI, 2021, IEEE Computational Intelligence Magazine
  • Deep Learning Algorithm for Automated Segmentation and Volume Measurement of the Liver and Spleen Using Portal Venous Phase Computed Tomography Images, 2020, Korean Journal of Radiology
  • TransSleep: Transitioning-Aware Attention-Based Deep Neural Network for Sleep Staging, 2022, IEEE Transactions on Cybernetics
  • A Survey on Deep Learning-Based Short/Zero-Calibration Approaches for EEG-Based Brain-Computer Interfaces, 2021, Frontiers in Human Neuroscience
  • Identifying resting-state effective connectivity abnormalities in drug-naïve major depressive disorder diagnosis via graph convolutional networks, 2020, Human Brain Mapping

Best Publications

  • Deep Learning in Medical Image Analysis

    Dinggang Shen;Guorong Wu;Heung Il Suk

  • Hierarchical feature representation and multimodal fusion with deep learning for AD/MCI diagnosis.

    Heung-Il Suk;Seong-Whan Lee;Dinggang Shen

  • Latent feature representation with stacked auto-encoder for AD/MCI diagnosis

    Heung Il Suk;Seong Whan Lee;Dinggang Shen;Dinggang Shen

  • Deep learning based imaging data completion for improved brain disease diagnosis.

    Rongjian Li;Wenlu Zhang;Heung Il Suk;Li Wang

  • Deep Learning-Based Feature Representation for AD/MCI Classification

    Heung Il Suk;Dinggang Shen

  • State-space model with deep learning for functional dynamics estimation in resting-state fMRI

    Heung Il Suk;Chong Yaw Wee;Seong Whan Lee;Dinggang Shen

  • Deep ensemble learning of sparse regression models for brain disease diagnosis

    Heung Il Suk;Seong Whan Lee;Dinggang Shen;Dinggang Shen

  • A Novel Bayesian Framework for Discriminative Feature Extraction in Brain-Computer Interfaces

    Heung-Il Suk;Seong-Whan Lee

  • A novel relational regularization feature selection method for joint regression and classification in AD diagnosis

    Xiaofeng Zhu;Heung-Il Suk;Li Wang;Seong-Whan Lee

  • Hand gesture recognition based on dynamic Bayesian network framework

    Heung-Il Suk;Bong-Kee Sin;Seong-Whan Lee

  • A novel matrix-similarity based loss function for joint regression and classification in AD diagnosis

    Xiaofeng Zhu;Heung Il Suk;Dinggang Shen;Dinggang Shen

  • Subspace Regularized Sparse Multitask Learning for Multiclass Neurodegenerative Disease Identification

    Xiaofeng Zhu;Heung-Il Suk;Seong-Whan Lee;Dinggang Shen

  • Deep sparse multi-task learning for feature selection in Alzheimer's disease diagnosis.

    Heung Il Suk;Seong Whan Lee;Dinggang Shen;Dinggang Shen

  • Commanding a Brain-Controlled Wheelchair Using Steady-State Somatosensory Evoked Potentials

    Keun-Tae Kim;Heung-Il Suk;Seong-Whan Lee

  • Person authentication from neural activity of face-specific visual self-representation

    Seul-Ki Yeom;Heung-Il Suk;Seong-Whan Lee

  • Non-homogeneous spatial filter optimization for ElectroEncephaloGram (EEG)-based motor imagery classification

    Tae-Eui Kam;Heung-Il Suk;Seong-Whan Lee

  • Multimodal manifold-regularized transfer learning for MCI conversion prediction

    Bo Cheng;Bo Cheng;Bo Cheng;Mingxia Liu;Heung Il Suk;Dinggang Shen;Dinggang Shen

  • Canonical feature selection for joint regression and multi-class identification in Alzheimer’s disease diagnosis

    Xiaofeng Zhu;Heung Il Suk;Seong Whan Lee;Dinggang Shen;Dinggang Shen

  • Subject and class specific frequency bands selection for multiclass motor imagery classification

    Heung-Il Suk;Seong-Whan Lee

  • Multi-Scale Neural Network for EEG Representation Learning in BCI

    Wonjun Ko;Eunjin Jeon;Seungwoo Jeong;Heung-Il Suk

  • Predicting BCI Subject Performance Using Probabilistic Spatio-Temporal Filters

    Heung Il Suk;Siamac Fazli;Jan Mehnert;Klaus Robert Müller

Frequent Co-Authors

Dinggang Shen
Dinggang Shen ShanghaiTech University
Seong-Whan Lee
Seong-Whan Lee Korea University
Chong Yaw Wee
Chong Yaw Wee University of North Carolina at Chapel Hill
Yinghuan Shi
Yinghuan Shi Nanjing University
Guorong Wu
Guorong Wu University of North Carolina at Chapel Hill
Yang Gao
Yang Gao Google (United Kingdom)
Heng Huang
Heng Huang University of Pittsburgh
Daoqiang Zhang
Daoqiang Zhang Nanjing University of Aeronautics and Astronautics
Klaus-Robert Müller
Klaus-Robert Müller Technical University of Berlin
Robert T. Knight
Robert T. Knight University of California, Berkeley

External Links

Personal website of Heung-Il Suk

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Best Scientists Citing Heung-Il Suk

Dinggang Shen

Dinggang Shen

ShanghaiTech University

Publications: 183

Seong-Whan Lee

Seong-Whan Lee

Korea University

Publications: 110

Baiying Lei

Baiying Lei

Shenzhen University

Publications: 48

Mingxia Liu

Mingxia Liu

University of North Carolina at Chapel Hill

Publications: 34

Klaus-Robert Müller

Klaus-Robert Müller

Technical University of Berlin

Publications: 34

Tianfu Wang

Tianfu Wang

Shenzhen University

Publications: 33

Vince D. Calhoun

Vince D. Calhoun

Georgia State University

Publications: 31

Qian Wang

Qian Wang

Shanghai Jiao Tong University

Publications: 28

Dong Ni

Dong Ni

Shenzhen University

Publications: 25

Ehsan Adeli

Ehsan Adeli

Stanford University

Publications: 23

Han Zhang

Han Zhang

ShanghaiTech University

Publications: 21

Daoqiang Zhang

Daoqiang Zhang

Nanjing University of Aeronautics and Astronautics

Publications: 19

Daniel Rueckert

Daniel Rueckert

Technical University of Munich

Publications: 19

Dong Nie

Dong Nie

University of North Carolina at Chapel Hill

Publications: 19

Yaozong Gao

Yaozong Gao

United Imaging Healthcare (China)

Publications: 17

Tianming Liu

Tianming Liu

University of Georgia

Publications: 16

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