World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
47
Citations
8043
World Ranking
6550
National Ranking
2896

Rong Yan 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 Rong Yan 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: 149 publications — 26th percentile

26% of scientists in this discipline score the same or lower.

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

Rong Yan 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 Rong Yan 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: 47 D-Index — 56th percentile

56% of scientists in this discipline score the same or lower.

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

Overview

Rong Yan is affiliated with Nanyang Technological University in Singapore and has contributed extensively to multiple fields, primarily focusing on Engineering and Biochemistry, Genetics, and Molecular Biology. Their research spans various subfields including Molecular Biology, Electrical and Electronic Engineering, Artificial Intelligence, Plant Science, and Public Health, Environmental and Occupational Health.

The main topics of Rong Yan's work cover a range of scientific and engineering disciplines:

  • Reproductive Biology and Fertility
  • Optimal Power Flow Distribution
  • Power System Optimization and Stability
  • Epigenetics and DNA Methylation
  • Genomics and Chromatin Dynamics
  • Mycotoxins in Agriculture and Food
  • Power System Reliability and Maintenance

Rong Yan has contributed to a number of recent publications in well-known scientific journals. Examples of recent papers include:

  • Research Progress on Fumonisin B1 Contamination and Toxicity: A Review, 2021, published in Molecules
  • Antifungal and Mycotoxin Detoxification Ability of Essential Oils: A Review, 2021, published in Phytotherapy Research
  • Transcriptome Study Reveals Apoptosis of Porcine Kidney Cells Induced by Fumonisin B1 via TNF Signalling Pathway, 2020, published in Food and Chemical Toxicology
  • Cyclophosphamide Exposure Causes Long-Term Detrimental Effect of Oocytes Developmental Competence Through Affecting the Epigenetic Modification and Maternal Factors' Transcription During Oocyte Growth, 2021, published in Frontiers in Cell and Developmental Biology
  • USP16-mediated Histone H2A Lysine-119 Deubiquitination During Oocyte Maturation Is a Prerequisite for Zygotic Genome Activation, 2022, published in Nucleic Acids Research

Frequent publication venues for Rong Yan include:

  • Scientific Reports
  • arXiv (Cornell University)
  • Food and Chemical Toxicology
  • IEEE Transactions on Power Systems
  • Experimental Cell Research

Rong Yan has collaborated with several co-authors repeatedly, including:

  • Yun-Wen Wu
  • Heng-Yu Fan
  • Guangchao Geng
  • Jing Cai
  • Miao Long

Best Publications

  • Cross-domain video concept detection using adaptive svms

    Jun Yang;Rong Yan;Alexander G. Hauptmann

  • Proceedings of the 20th ACM international conference on Multimedia

    Noboru Babaguchi;Kiyoharu Aizawa;John Smith;Shin'ichi Satoh

  • Pyrolysis of palm oil wastes for enhanced production of hydrogen rich gases

    Haiping Yang;Rong Yan;Hanping Chen;Dong Ho Lee

  • Multimedia search with pseudo-relevance feedback

    Rong Yan;Alexander Hauptmann;Rong Jin

  • Semantic concept-based query expansion and re-ranking for multimedia retrieval

    Apostol (Paul) Natsev;Alexander Haubold;Jelena Tešić;Lexing Xie

  • Automatically labeling video data using multi-class active learning

    Yan;Jie Yang;Hauptmann

  • Can High-Level Concepts Fill the Semantic Gap in Video Retrieval? A Case Study With Broadcast News

    A. Hauptmann;Rong Yan;Wei-Hao Lin;M. Christel

  • Mining Social Emotions from Affective Text

    Shenghua Bao;Shengliang Xu;Li Zhang;Rong Yan

  • On predicting rare classes with SVM ensembles in scene classification

    Rong Yan;Yan Liu;Rong Jin;A. Hauptmann

  • Catalytic effect of metal oxides on pyrolysis of sewage sludge

    Jingai Shao;Rong Yan;Hanping Chen;Haiping Yang

  • Learning query-class dependent weights in automatic video retrieval

    Rong Yan;Jun Yang;Alexander G. Hauptmann

  • IBM Research TRECVID-2007 Video Retrieval System

    Murray Campbell;Alexander Haubold;Ming Liu;Apostol Natsev

  • Extreme video retrieval: joint maximization of human and computer performance

    Alexander G. Hauptmann;Wei-Hao Lin;Rong Yan;Jun Yang

  • Adapting SVM Classifiers to Data with Shifted Distributions

    Jun Yang;Rong Yan;Alexander G. Hauptmann

  • Influence of Surface Properties on the Mechanism of H2S Removal by Alkaline Activated Carbons

    Rong Yan;Terence Chin;Yuen Ling Ng;Huiqi Duan

  • Model-shared subspace boosting for multi-label classification

    Rong Yan;Jelena Tesic;John R. Smith

  • Retweet Modeling Using Conditional Random Fields

    Huan-Kai Peng;Jiang Zhu;Dongzhen Piao;Rong Yan

  • How many high-level concepts will fill the semantic gap in news video retrieval?

    Alexander Hauptmann;Rong Yan;Wei-Hao Lin

  • A discriminative learning framework with pairwise constraints for video object classification

    Rong Yan;Jian Zhang;Jie Yang;A.G. Hauptmann

  • Negative pseudo-relevance feedback in content-based video retrieval

    Rong Yan;Alexander G. Hauptmann;Rong Jin

  • IBM Research TRECVID 2004 Video Retrieval System.

    Arnon Amir;Janne Argillander;Marco Berg;Shih-Fu Chang

Frequent Co-Authors

Alexander G. Hauptmann
Alexander G. Hauptmann Carnegie Mellon University
David Tee Liang
David Tee Liang Nanyang Technological University
Apostol Natsev
Apostol Natsev Google (United States)
John R. Smith
John R. Smith IBM (United States)
Chuguang Zheng
Chuguang Zheng Huazhong University of Science and Technology
Hanping Chen
Hanping Chen Huazhong University of Science and Technology
Joo-Hwa Tay
Joo-Hwa Tay University of Calgary
Lexing Xie
Lexing Xie Australian National University
Michael G. Christel
Michael G. Christel Carnegie Mellon University
Haiping Yang
Haiping Yang Huazhong University of Science and Technology

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