World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
54
Citations
11728
World Ranking
4563
National Ranking
2134

Shu-Ching Chen 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 Shu-Ching Chen 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: 414 publications — 88th percentile

88% of scientists in this discipline score the same or lower.

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

Shu-Ching Chen 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 Shu-Ching Chen 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: 54 D-Index — 69th percentile

69% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2016 - IEEE Fellow For contributions to multimedia data and disaster information management
  • 2016 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 2011 - ACM Distinguished Member
  • 2009 - ACM Senior Member

Overview

Shu-Ching Chen is affiliated with Florida International University in the United States and has an extensive research portfolio predominantly located in the field of Computer Science. Their work spans several subfields including Computer Vision and Pattern Recognition, Artificial Intelligence, Marketing, Sociology and Political Science, and Aerospace Engineering.

The primary areas of research addressed by Shu-Ching Chen include:

  • Anomaly Detection Techniques and Applications
  • Video Analysis and Summarization
  • Advanced Image and Video Retrieval Techniques
  • Advanced Vision and Imaging
  • Video Surveillance and Tracking Methods
  • Advanced Graph Neural Networks
  • Consumer Behavior in Brand Consumption and Identification

Frequent collaborators in their work include Mei-Ling Shyu, Matthew L. Bolton, Ricardo Chavarriaga, Luke, and Birsen Donmez, each contributing to multiple joint publications.

Shu-Ching Chen has published in various academic venues, with notable frequency in:

  • IEEE Transactions on Human-Machine Systems
  • IEEE Multimedia
  • ACM Computing Surveys
  • AHFE International
  • Information Systems Frontiers

Among the recent papers associated with Chen are:

  • "Multimedia Research Toward the Metaverse," 2022, IEEE Multimedia
  • "Evolutionary Programming Based Deep Learning Feature Selection and Network Construction for Visual Data Classification," 2020, Information Systems Frontiers
  • "Data Analytics for Air Travel Data: A Survey and New Perspectives," 2021, ACM Computing Surveys
  • "Effects of concealing vs. displaying prices on consumer perceptions of hospitality products," 2020, International Journal of Hospitality Management
  • "DCC-DNN: A deep neural network model to predict the drag coefficients of spherical and non-spherical particles aided by empirical correlations," 2024, Powder Technology

In recognition of contributions to the field, Shu-Ching Chen has received several awards, including the IEEE Fellow in 2016 for contributions to multimedia data and disaster information management, Fellow of the American Association for the Advancement of Science (AAAS) in 2016, ACM Distinguished Member in 2011, and ACM Senior Member in 2009.

Best Publications

  • A Survey on Deep Learning: Algorithms, Techniques, and Applications

    Samira Pouyanfar;Saad Sadiq;Yilin Yan;Haiman Tian

  • A progressive morphological filter for removing nonground measurements from airborne LIDAR data

    Keqi Zhang;Shu-Ching Chen;D. Whitman;Mei-Ling Shyu

  • A Novel Anomaly Detection Scheme Based on Principal Component Classifier

    Mei-Ling Shyu;Shu-Ching Chen;Kanoksri Sarinnapakorn;LiWu Chang

  • Data-Driven Techniques in Disaster Information Management

    Tao Li;Ning Xie;Chunqiu Zeng;Wubai Zhou

  • Automatic Construction of Building Footprints From Airborne LIDAR Data

    Keqi Zhang;Jianhua Yan;Shu-Ching Chen

  • Survey of data management and analysis in disaster situations

    Vagelis Hristidis;Shu-Ching Chen;Tao Li;Steven Luis

  • Computational Health Informatics in the Big Data Age: A Survey

    Ruogu Fang;Samira Pouyanfar;Yimin Yang;Shu-Ching Chen

  • Multimedia Big Data Analytics: A Survey

    Samira Pouyanfar;Yimin Yang;Shu-Ching Chen;Mei-Ling Shyu

  • Deep Learning for Imbalanced Multimedia Data Classification

    Yilin Yan;Min Chen;Mei-Ling Shyu;Shu-Ching Chen

  • Dynamic Sampling in Convolutional Neural Networks for Imbalanced Data Classification

    Samira Pouyanfar;Yudong Tao;Anup Mohan;Haiman Tian

  • Video Semantic Event/Concept Detection Using a Subspace-Based Multimedia Data Mining Framework

    Mei-Ling Shyu;Zongxing Xie;Min Chen;Shu-Ching Chen

  • A decision tree-based multimodal data mining framework for soccer goal detection

    Shu-Ching Chen;Mei-Ling Shyu;Min Chen;Chengcui Zhang

  • Predicting losses of residential structures in the state of Florida by the public hurricane loss evaluation model

    Shahid Hamid;B.M. Golam Kibria;Sneh Gulati;Mark Powell

  • Learning-based spatio-temporal vehicle tracking and indexing for transportation multimedia database systems

    Shu-Ching Chen;Mei-Ling Shyu;S. Peeta;Chengcui Zhang

  • Video scene change detection method using unsupervised segmentation and object tracking

    Shu-Ching Chen;Mei-Ling Shyu;Cheng-Cui Zhang;R.L. Kashyap

  • Handling nominal features in anomaly intrusion detection problems

    Mei-Ling Shyu;K. Sarinnapakorn;I. Kuruppu-Appuhamilage;Shu-Ching Chen

  • Semantic event detection via multimodal data mining

    Min Chen;Shu-Ching Chen;Mei-Ling Shyu;K. Wickramaratna

  • Towards a business continuity information network for rapid disaster recovery

    Khalid Saleem;Steven Luis;Yi Deng;Shu-Ching Chen

  • Data Mining Meets the Needs of Disaster Information Management

    Li Zheng;Chao Shen;Liang Tang;Chunqiu Zeng

  • Adaptive background learning for vehicle detection and spatio-temporal tracking

    C. Zhang;S.-C. Chen;M.-L. Shyu;S. Peeta

  • An intelligent framework for spatio-temporal vehicle tracking

    Shu-Ching Chen;Mei-Ling Shyu;Chengcui Zhang

Frequent Co-Authors

Mei-Ling Shyu
Mei-Ling Shyu University of Missouri–Kansas City
Chengcui Zhang
Chengcui Zhang University of Alabama at Birmingham
Tao Li
Tao Li Florida International University
Rangasami L. Kashyap
Rangasami L. Kashyap Purdue University West Lafayette
S. Sitharama Iyengar
S. Sitharama Iyengar Florida International University
Srinivas Peeta
Srinivas Peeta Georgia Institute of Technology
Mark D. Powell
Mark D. Powell National Oceanic and Atmospheric Administration
Borko Furht
Borko Furht Florida Atlantic University
Jong Hyuk Park
Jong Hyuk Park Seoul National University of Science and Technology
Arif Ghafoor
Arif Ghafoor Purdue University West Lafayette

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