World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
57
Citations
14642
World Ranking
3795
National Ranking
505

Sifeng 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 Sifeng 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: 250 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: 560 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: 424 scientists 242–251 publications: 408 scientists 252–261 publications: 378 scientists 262–271 publications: 300 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: 489 publications — 93rd percentile

93% of scientists in this discipline score the same or lower.

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

Sifeng 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 Sifeng Liu sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 984 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 969 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 765 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 517 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: 57 D-Index — 74th percentile

74% of scientists in this discipline score the same or lower.

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

Overview

Sifeng Liu is affiliated with Nanjing University of Aeronautics and Astronautics in China. Their research spans multiple fields including Decision Sciences, Engineering, and Computer Science, with a significant number of publications also focused on specialized subfields such as Management Science and Operations Research, Artificial Intelligence, Safety, Risk, Reliability and Quality, Electrical and Electronic Engineering, and Control and Systems Engineering.

Their work notably addresses several core topics including Grey System Theory Applications, Multi-Criteria Decision Making, Reliability and Maintenance Optimization, Rough Sets and Fuzzy Logic, Energy Load and Power Forecasting, Statistical Distribution Estimation and Applications, and Risk and Safety Analysis.

Recent papers authored or co-authored by Sifeng Liu include the following:

  • Forecast of biofuel production and consumption in top CO2 emitting countries using a novel grey model, 2020, Journal of Cleaner Production
  • A limited cost consensus approach with fairness concern and its application, 2021, European Journal of Operational Research
  • Research on aging mechanism and state of health prediction in lithium batteries, 2023, Journal of Energy Storage
  • A novel grey multi-criteria three-way decisions model and its application, 2021, Computers & Industrial Engineering
  • DISTINGUISHING COEFFICIENT DRIVEN SENSITIVITY ANALYSIS OF GRA MODEL FOR INTELLIGENT DECISIONS: APPLICATION IN PROJECT MANAGEMENT, 2020, Technological and Economic Development of Economy

Sifeng Liu frequently collaborates with several co-authors, including Yingjie Yang, Zhigeng Fang, Wenjie Dong, Jeffrey Yi-Lin Forrest, and Junliang Du. Collaboration counts with these researchers indicate ongoing partnerships that span multiple projects and topics.

Main publication venues where Sifeng Liu has contributed include:

  • Grey Systems Theory and Application
  • arXiv (Cornell University)
  • Computers & Industrial Engineering
  • Reliability Engineering & System Safety
  • SSRN Electronic Journal

In addition to journal publications, Sifeng Liu has contributed to book publications under the Series on grey system, with titles such as Grey Systems Analysis (2022) and Emerging Studies and Applications of Grey Systems (2023).

Best Publications

  • Grey Systems: Theory and Applications

    Sifeng Liu;Yi Lin

  • A brief introduction to grey systems theory

    Sifeng Liu;Jeffrey Forrest;Yingjie Yang

  • Grey system model with the fractional order accumulation

    Lifeng Wu;Sifeng Liu;Ligen Yao;Shuli Yan

  • Discrete grey forecasting model and its optimization

    Nai-ming Xie;Si-feng Liu

  • Grey Data Analysis

    Sifeng Liu;Yingjie Yang;Jeffrey Forrest

  • An Introduction to Grey Systems : Foundations, Methodology, and Applications

    Sifeng Liu;Yi Lin

  • Theory of grey systems: capturing uncertainties of grey information

    Yi Lin;Mian‐yun Chen;Sifeng Liu

  • A novel grey forecasting model and its optimization

    Jie Cui;Si-feng Liu;Bo Zeng;Nai-ming Xie

  • Advances in grey systems research

    Sifeng Liu;Jeffrey Yi-Lin Forrest

  • Grey Control Systems

    Sifeng Liu;Sifeng Liu;Yi Lin

  • New progress of Grey System Theory in the new millennium

    Sifeng Liu;Yingjie Yang;Naiming Xie;Jeffrey Forrest

  • On novel grey forecasting model based on non-homogeneous index sequence

    Nai-Ming Xie;Si-Feng Liu;Ying-Jie Yang;Chao-Qing Yuan

  • An approach to increase prediction precision of GM(1,1) model based on optimization of the initial condition

    Yuhong Wang;Yaoguo Dang;Yueqing Li;Sifeng Liu

  • Introduction to Grey Systems Theory

    Sifeng Liu;Yi Lin

  • Novel models of grey relational analysis based on visual angle of similarity and nearness

    Si‐feng Liu;Nai‐ming Xie;Jeffrey Forrest

  • The Current Developing Status on Grey System Theory

    Sifeng Liu;Jeffrey Forrest

  • The effect of sample size on the grey system model

    Lifeng Wu;Sifeng Liu;Ligen Yao;Shuli Yan

  • Non-homogenous discrete grey model with fractional-order accumulation

    Li-Feng Wu;Si-Feng Liu;Wei Cui;Ding-Lin Liu

  • General grey numbers and their operations

    Sifeng Liu;Zhigeng Fang;Yingjie Yang;Jeffrey Forrest

  • A historical introduction to grey systems theory

    Yi Lin;Sifeng Liu

Frequent Co-Authors

Ye Chen
Ye Chen Nanjing University of Aeronautics and Astronautics
Jian Chen
Jian Chen The Ohio State University
Robert John
Robert John University of Nottingham
Chuan Li
Chuan Li Chongqing Technology and Business University
Hanlin Liao
Hanlin Liao Centre national de la recherche scientifique, CNRS
Yu Liu
Yu Liu University of Electronic Science and Technology of China
Guo Chen
Guo Chen University of New South Wales

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