World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
52
Citations
7660
World Ranking
5179
National Ranking
704

Shu-Ping Wan 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 Shu-Ping Wan 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: 139 publications — 22nd percentile

22% of scientists in this discipline score the same or lower.

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

Shu-Ping Wan 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 Shu-Ping Wan 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: 52 D-Index — 65th percentile

65% of scientists in this discipline score the same or lower.

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

Overview

Shu-Ping Wan is affiliated with Jiangxi University of Finance and Economics in China. Their research primarily focuses on areas intersecting computer science and decision sciences, particularly within management science and operations research, artificial intelligence, control and systems engineering, statistics and probability, and computational theory and mathematics.

The scientist has a strong publication record, contributing extensively to topics such as multi-criteria decision making, optimization and mathematical programming, cognitive science and mapping, fuzzy systems and optimization, Bayesian modeling and causal inference, rough sets and fuzzy logic, and facility location and emergency management.

Recent notable papers by Shu-Ping Wan include:

  • "Fuzzy best-worst method based on triangular fuzzy numbers for multi-criteria decision-making," 2020, published in Information Sciences
  • "Personalized individual semantics based consensus reaching process for large-scale group decision making with probabilistic linguistic preference relations and application to COVID-19 surveillance," 2021, published in Expert Systems with Applications
  • "An integrated interval type-2 fuzzy technique for democratic-autocratic multi-criteria decision making," 2021, published in Knowledge-Based Systems
  • "A Novel Extension of Best-Worst Method With Intuitionistic Fuzzy Reference Comparisons," 2021, published in IEEE Transactions on Fuzzy Systems
  • "Interactive multi-criteria group decision-making with probabilistic linguistic information for emergency assistance of COVID-19," 2021, published in Applied Soft Computing

The venues where Shu-Ping Wan frequently publishes include:

  • Information Sciences (18 publications)
  • Expert Systems with Applications (10 publications)
  • Applied Soft Computing (7 publications)
  • SSRN Electronic Journal (6 publications)
  • Computer Modeling in Engineering & Sciences (4 publications)

Coauthor collaborations are an important aspect of their work. Frequent coauthors include:

  • Jiu-Ying Dong (57 joint publications)
  • Xiao-Yun Lu (9 joint publications)
  • Wen-Chang Zou (8 joint publications)
  • Shyi-Ming Chen (6 joint publications)
  • Ze-hui Chen (6 joint publications)

Best Publications

  • The extended VIKOR method for multi-attribute group decision making with triangular intuitionistic fuzzy numbers

    Shu-Ping Wan;Qiang-Ying Wang;Jiu-Ying Dong

  • Fuzzy LINMAP approach to heterogeneous MADM considering comparisons of alternatives with hesitation degrees

    Shu-Ping Wan;Deng-Feng Li

  • Fuzzy best-worst method based on triangular fuzzy numbers for multi-criteria decision-making

    Jiuying Dong;Shuping Wan;Shyi-Ming Chen

  • Supplier selection using ANP and ELECTRE II in interval 2-tuple linguistic environment

    Shu-ping Wan;Gai-li Xu;Jiu-ying Dong

  • Atanassov's Intuitionistic Fuzzy Programming Method for Heterogeneous Multiattribute Group Decision Making With Atanassov's Intuitionistic Fuzzy Truth Degrees

    Shu-Ping Wan;Deng-Feng Li

  • Fuzzy mathematical programming approach to heterogeneous multiattribute decision-making with interval-valued intuitionistic fuzzy truth degrees

    Shu-Ping Wan;Deng-Feng Li

  • Power average operators of trapezoidal intuitionistic fuzzy numbers and application to multi-attribute group decision making

    Unknown

  • A new method for probabilistic linguistic multi-attribute group decision making: Application to the selection of financial technologies

    Xiao-Bing Mao;Min Wu;Jiu-Ying Dong;Shu-Ping Wan

  • Interval-valued intuitionistic fuzzy mathematical programming method for hybrid multi-criteria group decision making with interval-valued intuitionistic fuzzy truth degrees

    Unknown

  • Personalized individual semantics based consensus reaching process for large-scale group decision making with probabilistic linguistic preference relations and application to COVID-19 surveillance

    Unknown

  • A possibility degree method for interval-valued intuitionistic fuzzy multi-attribute group decision making

    Unknown

  • Pythagorean fuzzy mathematical programming method for multi-attribute group decision making with Pythagorean fuzzy truth degrees

    Unknown

  • A new method for Atanassov's interval-valued intuitionistic fuzzy MAGDM with incomplete attribute weight information

    Shu-Ping Wan;Gai-li Xu;Feng Wang;Jiu-ying Dong

  • 2-Tuple linguistic hybrid arithmetic aggregation operators and application to multi-attribute group decision making

    Shu-Ping Wan

  • Fuzzy heterogeneous multiattribute decision making method for outsourcing provider selection

    Deng-Feng Li;Shu-Ping Wan

  • Power geometric operators of trapezoidal intuitionistic fuzzy numbers and application to multi-attribute group decision making

    Unknown

  • Mathematical programming methods for consistency and consensus in group decision making with intuitionistic fuzzy preference relations

    Gai-li Xu;Shu-ping Wan;Feng Wang;Jiu-ying Dong

  • Some new generalized aggregation operators for triangular intuitionistic fuzzy numbers and application to multi-attribute group decision making

    Shu-Ping Wan;Feng Wang;Li-Lian Lin;Jiu-Ying Dong

  • An intuitionistic fuzzy linear programming method for logistics outsourcing provider selection

    Shu-Ping Wan;Feng Wang;Li-Lian Lin;Jiu-Ying Dong

  • Extended VIKOR method for multiple criteria decision-making with linguistic hesitant fuzzy information

    Jiu-ying Dong;Fang-fang Yuan;Shu-ping Wan

  • A fuzzy inhomogenous multiattribute group decision making approach to solve outsourcing provider selection problems

    Deng-Feng Li;Shu-Ping Wan

  • Additive consistent interval-valued Atanassov intuitionistic fuzzy preference relation and likelihood comparison algorithm based group decision making

    Shuping Wan;Feng Wang;Jiuying Dong

  • A group decision making method with interval valued fuzzy preference relations based on the geometric consistency

    Shuping Wan;Feng Wang;Jiuying Dong

  • A three-phase method for Pythagorean fuzzy multi-attribute group decision making and application to haze management

    Shu-Ping Wan;Su-Qin Li;Jiu-Ying Dong

  • A Group Decision-Making Method Considering Both the Group Consensus and Multiplicative Consistency of Interval-Valued Intuitionistic Fuzzy Preference Relations

    Shuping Wan;Feng Wang;Jiuying Dong

  • A novel method for group decision making with interval-valued Atanassov intuitionistic fuzzy preference relations

    Shu-ping Wan;Gai-li Xu;Jiu-ying Dong

Frequent Co-Authors

Deng-Feng Li
Deng-Feng Li Fuzhou University
Luis Martínez
Luis Martínez University of Jaén
Shyi-Ming Chen
Shyi-Ming Chen Asia University Taiwan

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

The landscape of Computer Science education in the USA is evolving rapidly, offering a wide range of online degrees and certifications tailored to diverse interests and career goals. Many students choose an online theoretical physics degree to strengthen their research and analytical skills—a valuable complement to computer science backgrounds.

For those drawn to the world of big data, a data science degree can open doors to high-demand roles in tech, finance, and healthcare. Specializing further, pursuing an online master’s in electrical engineering degree equips graduates for cutting-edge careers in technology, robotics, and hardware design.

Alternatively, short-term programs like certificate programs that pay well offer a fast and flexible route into lucrative tech and computer science fields. Whether you’re beginning your journey or upskilling, the USA’s online learning options make it easier than ever to find a pathway that aligns with your career ambitions.

Best Scientists Citing Shu-Ping Wan

Trending Scientists

Recently Published Articles