World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
32
Citations
4588
World Ranking
13142
National Ranking
5277

Chengcui Zhang 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 Chengcui Zhang 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: 182 publications — 39th percentile

39% of scientists in this discipline score the same or lower.

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

Chengcui Zhang 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 Chengcui Zhang 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: 32 D-Index — 10th percentile

10% of scientists in this discipline score the same or lower.

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

Best Publications

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

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

  • Deep Multimodal Data Fusion

    Unknown

  • Graph K-means Based on Leader Identification, Dynamic Game, and Opinion Dynamics

    Zhan Bu;Hui-Jia Li;Chengcui Zhang;Jie Cao

  • A fast parallel modularity optimization algorithm (FPMQA) for community detection in online social network

    Zhan Bu;Chengcui Zhang;Zhengyou Xia;Jiandong Wang

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

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

  • 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

  • A PCA-Based Vehicle Classification Framework

    Unknown

  • 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

  • A three-way investigation of a game-CAPTCHA: automated attacks, relay attacks and usability

    Manar Mohamed;Niharika Sachdeva;Michael Georgescu;Song Gao

  • An automated bacterial colony counting and classification system

    Unknown

  • DETECTION OF SOCCER GOAL SHOTS USING JOINT MULTIMEDIA FEATURES AND CLASSIFICATION RULES

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

  • A latent semantic indexing based method for solving multiple instance learning problem in region-based image retrieval

    Xin Chen;Chengcui Zhang;Shu-Ching Chen;Min Chen

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

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

  • A Human-Centered Multiple Instance Learning Framework for Semantic Video Retrieval

    Xin Chen;Chengcui Zhang;Shu-Ching Chen;S. Rubin

  • User concept pattern discovery using relevance feedback and multiple instance learning for content-based image retrieval

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

  • Innovative Shot Boundary Detection for Video Indexing

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

  • Image database retrieval utilizing affinity relationships

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

  • A Multiple Instance Learning Approach for Content Based Image Retrieval Using One-Class Support Vector Machine

    Chengcui Zhang;Xin Chen;Min Chen;Shu-Ching Chen

Frequent Co-Authors

Shu-Ching Chen
Shu-Ching Chen Florida International University
Mei-Ling Shyu
Mei-Ling Shyu University of Missouri–Kansas City
Nitesh Saxena
Nitesh Saxena Texas A&M University
David B. Allison
David B. Allison Indiana University
James Joshi
James Joshi University of Pittsburgh
Steven Bethard
Steven Bethard University of Arizona
Srinivas Peeta
Srinivas Peeta Georgia Institute of Technology
Paul C. van Oorschot
Paul C. van Oorschot Carleton University
Ponnurangam Kumaraguru
Ponnurangam Kumaraguru International Institute of Information Technology, Hyderabad
Elisa Bertino
Elisa Bertino Purdue University West Lafayette

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