World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
36
Citations
9839
World Ranking
11001
National Ranking
690

Kecheng Liu 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 Kecheng Liu 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: 343 publications — 81st percentile

81% of scientists in this discipline score the same or lower.

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

Kecheng Liu 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 Kecheng Liu 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: 36 D-Index — 23rd percentile

23% of scientists in this discipline score the same or lower.

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

Overview

Kecheng Liu is affiliated with the University of Reading in the United Kingdom. Their research primarily spans the field of Engineering, with a focus on several related subfields including Atomic and Molecular Physics, and Optics; Materials Chemistry; Artificial Intelligence; Electrical and Electronic Engineering; and Renewable Energy, Sustainability, and the Environment.

Their body of work encompasses multiple main topics across various scientific and technological domains. These include:

  • Advanced Photocatalysis Techniques
  • Recommender Systems and Techniques
  • Laser-Matter Interactions and Applications
  • Advanced Condensed Matter Physics
  • Advanced Graph Neural Networks
  • Advanced Nanomaterials in Catalysis
  • Quantum Computing Algorithms and Architecture

Kecheng Liu has contributed research to a number of high-impact publication venues. Frequent venues where their work appears include:

  • arXiv (Cornell University)
  • Journal of the Physical Society of Japan
  • SSRN Electronic Journal
  • Journal of Physics Conference Series
  • Journal of Modern Optics

Representative recent publications by Kecheng Liu include:

  • "False Data-Injection Attack Detection in Cyber-Physical Systems With Unknown Parameters: A Deep Reinforcement Learning Approach," 2022, IEEE Transactions on Cybernetics
  • "Fabrication of 3D CuS@ZnIn2S4 hierarchical nanocages with 2D/2D nanosheet subunits p-n heterojunctions for improved photocatalytic hydrogen evolution," 2022, Chemical Engineering Journal
  • "Nodeless electron pairing in CsV3Sb5-derived kagome superconductors," 2023, Nature
  • "Chatbot or human? The impact of online customer service on consumers' purchase intentions," 2023, Psychology and Marketing
  • "Exploring the Mechanism of the Impact of Green Finance and Digital Economy on China's Green Total Factor Productivity," 2022, International Journal of Environmental Research and Public Health

Kecheng Liu collaborates frequently with a set of coauthors, reflecting ongoing research partnerships. These frequent collaborators include:

  • Yigui Zhong
  • Kozo Okazaki
  • Shik Shin
  • Jiro Itatani
  • Takeshi Suzuki

Best Publications

  • Magnetic resonance fingerprinting

    Dan Ma;Vikas Gulani;Vikas Gulani;Nicole Seiberlich;Kecheng Liu

  • Semiotics in Information Systems Engineering

    Kecheng Liu

  • Shape recovery algorithms using level sets in 2-D/3-D medical imagery: a state-of-the-art review

    J.S. Suri;Kecheng Liu;S. Singh;S.N. Laxminarayan

  • Understanding the roles of signs and norms in organizations - a semiotic approach to information systems design

    Ronald K. Stamper;Kecheng Liu;Mark Hafkamp;Yasser Ades

  • Digital business ecosystem: Literature review and a framework for future research

    Prince Kwame Senyo;Kecheng Liu;John Effah

  • The Human Connectome Project and Beyond: Initial Applications of 300 mT/m Gradients

    Jennifer A. McNab;Brian L. Edlow;Thomas Witzel;Susie Yi Huang

  • e-Leadership through strategic alignment: an empirical study of small- and medium-sized enterprises in the digital age

    Weizi Li;Kecheng Liu;Maksim Belitski;Abby Ghobadian

  • A multi-agent decision support system for stock trading

    Yuan Luo;Kecheng Liu;D.N. Davis

  • Portfolio formation with preselection using deep learning from long-term financial data

    Wuyu Wang;Weizi Li;Ning Zhang;Kecheng Liu

  • A review on MR vascular image processing: skeleton versus nonskeleton approaches: part II

    J.S. Suri;Kecheng Liu;L. Reden;S. Laxminarayan

  • Personalisation in web computing and informatics: Theories, techniques, applications, and future research

    Min Gao;Kecheng Liu;Zhongfu Wu

  • Angiography method and apparatus

    Jasjit S. Suri;Kecheng Liu;Dee H. Wu

  • A Multi-Agent System for Building Control

    Bing Qiao;Kecheng Liu;Chris Guy

  • Reproducibility and Repeatability of MR Fingerprinting Relaxometry in the Human Brain.

    Gregor Körzdörfer;Rainer Kirsch;Kecheng Liu;Josef Pfeuffer

  • Black blood angiography method and apparatus

    Jasjit S. Suri;Kecheng Liu

  • A review on MR vascular image processing algorithms: acquisition and prefiltering: part I

    J.S. Suri;Kecheng Liu;L. Reden;S. Laxminarayan

  • Personalized Web Service Ranking via User Group Combining Association Rule

    Wenge Rong;Kecheng Liu;Lin Liang

  • Organisational Semiotics for Business Informatics

    Kecheng Liu;Weizi Li

  • Norm‐based agency for designing collaborative information systems

    Kecheng Liu;Lily Sun;Alan J. Dix;Mohan Narasipuram

  • Integrated clinical pathway management for medical quality improvement – based on a semiotically inspired systems architecture

    Weizi Li;Kecheng Liu;Hongqiao Yang;Changrui Yu

  • A Survey of Context Aware Web Service Discovery: From User's Perspective

    Wenge Rong;Kecheng Liu

Frequent Co-Authors

Jasjit S. Suri
Jasjit S. Suri University of Idaho
Mark A. Griswold
Mark A. Griswold Case Western Reserve University
Maksim Belitski
Maksim Belitski University of Reading
Alan Dix
Alan Dix Swansea University
Runming Yao
Runming Yao University of Reading
Yulan He
Yulan He King's College London
James S. Babb
James S. Babb New York University
Baowen Xu
Baowen Xu Nanjing University
Jeffrey L. Duerk
Jeffrey L. Duerk University of Miami

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