World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
49
Citations
9491
World Ranking
5898
National Ranking
45

Yong Man Ro 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 Yong Man Ro sits on this spectrum.

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 publications 991+

This scientist: 530 publications — 94th percentile

94% of scientists in this discipline score the same or lower.

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

Yong Man Ro 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 Yong Man Ro sits on this spectrum.

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 D-Index 131+

This scientist: 49 D-Index — 60th percentile

60% of scientists in this discipline score the same or lower.

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

Overview

Yong Man Ro is affiliated with the Korea Advanced Institute of Science and Technology in South Korea. Their research primarily spans the field of Computer Science, with a particular focus on subfields such as Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Media Technology, and Electrical and Electronic Engineering.

The scientist has contributed extensively to topics related to Speech and Audio Processing, Face Recognition and Analysis, Adversarial Robustness in Machine Learning, Anomaly Detection Techniques and Applications, Advanced Neural Network Applications, Video Surveillance and Tracking Methods, and Music and Audio Processing.

Recent notable publications by Yong Man Ro include:

  • Uncertainty-Guided Cross-Modal Learning for Robust Multispectral Pedestrian Detection, 2021, IEEE Transactions on Circuits and Systems for Video Technology
  • SyncTalkFace: Talking Face Generation with Precise Lip-Syncing via Audio-Lip Memory, 2022, Proceedings of the AAAI Conference on Artificial Intelligence
  • Distinguishing Homophenes Using Multi-Head Visual-Audio Memory for Lip Reading, 2022, Proceedings of the AAAI Conference on Artificial Intelligence
  • Robust Small-scale Pedestrian Detection with Cued Recall via Memory Learning, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • Multimodal facial biometrics recognition: Dual-stream convolutional neural networks with multi-feature fusion layers, 2020, Image and Vision Computing

The scholar's frequent coauthors include Minsu Kim, Byung-Kwan Lee, Jeongsoo Choi, Youngjoon Yu, and Jeong Hun Yeo, with multiple collaborations documented over time.

Publication venues where Yong Man Ro has had significant presence include arXiv (Cornell University), Proceedings of the AAAI Conference on Artificial Intelligence, IEEE Transactions on Circuits and Systems for Video Technology, Pattern Recognition, and SSRN Electronic Journal.

Yong Man Ro has also contributed to book publications with Frontiers Media, including a work entitled Big data and artificial intelligence in ophthalmology - clinical application and future exploration published in 2023.

Best Publications

  • Multi-Objective Based Spatio-Temporal Feature Representation Learning Robust to Expression Intensity Variations for Facial Expression Recognition

    Dae Hoe Kim;Wissam J. Baddar;Jinhyeok Jang;Yong Man Ro

  • MPEG-7 Homogeneous Texture Descriptor

    Yong Man Ro;Munchurl Kim;Ho Kyung Kang;B.S. Manjunath

  • Reduction of susceptibility artifact in gradient-echo imaging.

    Z. H. Cho;Y. M. Ro

  • Micro-Expression Recognition with Expression-State Constrained Spatio-Temporal Feature Representations

    Dae Hoe Kim;Wissam J. Baddar;Yong Man Ro

  • Method, system and computer program for identification and sharing of digital images with face signatures

    Ray Ganong;Donald Craig Waugh;Yong Man Ro;Konstantinos N. Plataniotis

  • Color Local Texture Features for Color Face Recognition

    Jae Young Choi;Yong Man Ro;K. N. Plataniotis

  • An Evaluation of Bitrate Adaptation Methods for HTTP Live Streaming

    Truong Cong Thang;Hung T. Le;Anh T. Pham;Yong Man Ro

  • Deep Virtual Reality Image Quality Assessment With Human Perception Guider for Omnidirectional Image

    Hak Gu Kim;Heoun-Taek Lim;Yong Man Ro

  • Local Color Vector Binary Patterns From Multichannel Face Images for Face Recognition

    Seung Ho Lee;Jae Young Choi;Yong Man Ro;K. N. Plataniotis

  • Color Face Recognition for Degraded Face Images

    Jae Young Choi;Yong Man Ro;K.N. Plataniotis

  • Collaborative Face Recognition for Improved Face Annotation in Personal Photo Collections Shared on Online Social Networks

    Jae Young Choi;W De Neve;K N Plataniotis;Y M Ro

  • Intra-Class Variation Reduction Using Training Expression Images for Sparse Representation Based Facial Expression Recognition

    Seung Ho Lee;Konstantinos N. Kostas Plataniotis;Yong Man Ro

  • Structure Boundary Preserving Segmentation for Medical Image With Ambiguous Boundary

    Hong Joo Lee;Jung Uk Kim;Sangmin Lee;Hak Gu Kim

  • BMAN: Bidirectional Multi-Scale Aggregation Networks for Abnormal Event Detection

    Sangmin Lee;Hak Gu Kim;Yong Man Ro

  • Method and apparatus for category-based photo clustering in digital photo album

    Sangkyun Kim;Jiyeun Kim;Youngsu Moon;Yongman Ro

  • Privacy Protection in Video Surveillance Systems: Analysis of Subband-Adaptive Scrambling in JPEG XR

    Hosik Sohn;Wesley De Neve;Yong Man Ro

  • Uncertainty-Guided Cross-Modal Learning for Robust Multispectral Pedestrian Detection

    Jung Uk Kim;Sungjune Park;Yong Man Ro

  • Predicting Visual Discomfort of Stereoscopic Images Using Human Attention Model

    Yong Ju Jung;Hosik Sohn;Seong-Il Lee;Hyun Wook Park

  • Using colour local binary pattern features for face recognition

    Jae Young Choi;Konstantinos N. Plataniotis;Yong Man Ro

  • Method, medium, and apparatus for detecting situation change of digital photos and method, medium, and apparatus for situation-based photo clustering in digital photo album

    Sangkyun Kim;Jlyeun Kim;Youngsu Moon;Yongman Ro

  • Predicting Visual Discomfort Using Object Size and Disparity Information in Stereoscopic Images

    Hosik Sohn;Yong Ju Jung;Seong-il Lee;Yong Man Ro

Frequent Co-Authors

Jae-Young Choi
Jae-Young Choi Sungkyunkwan University
Konstantinos N. Plataniotis
Konstantinos N. Plataniotis University of Toronto
Munchurl Kim
Munchurl Kim Korea Advanced Institute of Science and Technology
HyunWook Park
HyunWook Park Korea Advanced Institute of Science and Technology
Eunjoon Kim
Eunjoon Kim Korea Advanced Institute of Science and Technology
Hyoung Joong Kim
Hyoung Joong Kim Korea University
Erol Gelenbe
Erol Gelenbe Institute of Theoretical and Applied Informatics
Nassir Navab
Nassir Navab Technical University of Munich
Jong-Ho Lee
Jong-Ho Lee Soongsil University
M. Tamer Özsu
M. Tamer Özsu University of Waterloo

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