World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
38
Citations
7544
World Ranking
10101
National Ranking
4262

Wei Tan 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 Wei Tan 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: 157 publications — 30th percentile

30% of scientists in this discipline score the same or lower.

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

Wei Tan 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 Wei Tan 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: 38 D-Index — 30th percentile

30% of scientists in this discipline score the same or lower.

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

Overview

Wei Tan is affiliated with Citadel LLC in the United States and has contributed to research predominantly in the field of medicine. Their work spans various subfields, including safety research, genetics, information systems, pediatrics, perinatology and child health, as well as sociology and political science.

Their research topics cover a range of areas such as forensic fingerprint detection methods, forensic and genetic research, digital and cyber forensics, childhood cancer survivors' quality of life, family support in illness, palliative care and end-of-life issues, and cardiovascular health and disease prevention.

Recent publications by Wei Tan include:

  • "Evaluation of the performance of IND/Zn and DFO on various porous substrates in Singapore context," 2020, Forensic Science International
  • "A deep learning-based, real-time image report system for linear EUS," 2024, Gastrointestinal Endoscopy
  • "Experiences of paediatric terminal oncology patients and their parents in palliative care: A qualitative systematic review," 2024, Journal of Pediatric Nursing
  • "Predictive value of Cmmi-MHR combined with thromboelastography parameters in acute cerebral infarction," 2024, BMC Medical Imaging
  • "Design of Vehicle Big Data Analysis System Based on Structured Data," 2025, Science, technology and social development proceedings series.

Frequent coauthors collaborating with Wei Tan include Cheng Ngee Loh, Wei Lin Kimiie Chia, Siong Chun Shawn Foo, Xiuhui Xu, and Xun Li.

The venues where their work has been published reflect the interdisciplinary nature of their research, including Forensic Science International, Gastrointestinal Endoscopy, Journal of Pediatric Nursing, BMC Medical Imaging, and the Science, technology and social development proceedings series.

Best Publications

  • Process Mining Manifesto

    Wil van der Aalst;Wil van der Aalst;Arya Adriansyah;Ana Karla Alves de Medeiros;Franco Arcieri

  • Self-Adaptive Learning PSO-Based Deadline Constrained Task Scheduling for Hybrid IaaS Cloud

    Xingquan Zuo;Guoxiang Zhang;Wei Tan

  • A Petri Net-Based Method for Compatibility Analysis and Composition of Web Services in Business Process Execution Language

    Wei Tan;Yushun Fan;MengChu Zhou

  • Social-Network-Sourced Big Data Analytics

    Wei Tan;M. B. Blake;I. Saleh;S. Dustdar

  • Review of Current Methods, Applications, and Data Management for the Bioinformatics Analysis of Whole Exome Sequencing

    Riyue Bao;Lei Huang;Jorge Andrade;Wei Tan

  • Taverna, reloaded

    Paolo Missier;Stian Soiland-Reyes;Stuart Owen;Wei Tan

  • Dilated Recurrent Neural Networks

    Shiyu Chang;Yang Zhang;Wei Han;Mo Yu

  • TTSA: An Effective Scheduling Approach for Delay Bounded Tasks in Hybrid Clouds

    Haitao Yuan;Jing Bi;Wei Tan;MengChu Zhou

  • Vehicle Scheduling of an Urban Bus Line via an Improved Multiobjective Genetic Algorithm

    Xingquan Zuo;Cheng Chen;Wei Tan;MengChu Zhou

  • Category-Aware API Clustering and Distributed Recommendation for Automatic Mashup Creation

    Bofei Xia;Yushun Fan;Wei Tan;Keman Huang

  • Application-Aware Dynamic Fine-Grained Resource Provisioning in a Virtualized Cloud Data Center

    Jing Bi;Haitao Yuan;Wei Tan;MengChu Zhou

  • From the Service-Oriented Architecture to the Web API Economy

    Wei Tan;Yushun Fan;Ahmed Ghoneim;M. Anwar Hossain

  • Data-Driven Service Composition in Enterprise SOA Solutions: A Petri Net Approach

    Wei Tan;Yushun Fan;MengChu Zhou;Zhong Tian

  • DLTSR: A Deep Learning Framework for Recommendations of Long-Tail Web Services

    Bing Bai;Yushun Fan;Wei Tan;Jia Zhang

  • Timed Compatibility Analysis of Web Service Composition: A Modular Approach Based on Petri Nets

    Yanhua Du;Wei Tan;MengChu Zhou

  • An Empirical Study of Programmable Web: A Network Analysis on a Service-Mashup System

    Keman Huang;Yushun Fan;Wei Tan

  • Network Analysis of Scientific Workflows: A Gateway to Reuse

    Wei Tan;Jia Zhang;I Foster

  • Recommendation in an Evolving Service Ecosystem Based on Network Prediction

    Keman Huang;Yushun Fan;Wei Tan

  • Recommend-As-You-Go: A Novel Approach Supporting Services-Oriented Scientific Workflow Reuse

    Jia Zhang;Wei Tan;John Alexander;Ian Foster

  • Temporal Task Scheduling With Constrained Service Delay for Profit Maximization in Hybrid Clouds

    Haitao Yuan;Jing Bi;Wei Tan;Bo Hu Li

Frequent Co-Authors

Jing Bi
Jing Bi Beijing University of Technology
MengChu Zhou
MengChu Zhou New Jersey Institute of Technology
Ian Foster
Ian Foster University of Chicago
Carole Goble
Carole Goble University of Manchester
Shiyu Chang
Shiyu Chang University of California, Santa Barbara
Liangliang Cao
Liangliang Cao Google (United States)
David De Roure
David De Roure University of Oxford
Yun Liang
Yun Liang Peking University

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