World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
60
Citations
14305
World Ranking
3244
National Ranking
436

Jun Ye 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 Jun Ye 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: 396 publications — 87th percentile

87% of scientists in this discipline score the same or lower.

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

Jun Ye 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 Jun Ye 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: 60 D-Index — 78th percentile

78% of scientists in this discipline score the same or lower.

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

Overview

Jun Ye is affiliated with Ningbo University in China and has an extensive publication record primarily within the field of Engineering. Their research spans several key subfields, including Management Science and Operations Research, Control and Systems Engineering, Artificial Intelligence, Statistics and Probability, and Safety, Risk, Reliability and Quality.

The scientist's work covers a variety of topics, emphasizing Multi-Criteria Decision Making, Optimization and Mathematical Programming, Fuzzy Systems and Optimization, Rough Sets and Fuzzy Logic, Metaheuristic Optimization Algorithms Research, Rock Mechanics and Modeling, and Fuzzy Logic and Control Systems.

Among recent notable papers authored or co-authored by Jun Ye are:

  • Quantum Simulators: Architectures and Opportunities, 2021, PRX Quantum
  • Distributed MPC-based energy scheduling for islanded multi-microgrid considering battery degradation and cyclic life deterioration, 2022, Applied Energy
  • ACO Resampling: Enhancing the performance of oversampling methods for class imbalance classification, 2020, Knowledge-Based Systems
  • Acceptor-donor-acceptor structured deep-red AIE photosensitizer: Lysosome-specific targeting, in vivo long-term imaging, and effective photodynamic therapy, 2021, Chemical Engineering Journal
  • The spectral characteristics and cadmium complexation of soil dissolved organic matter in a wide range of forest lands, 2022, Environmental Pollution

Jun Ye has contributed to academic book publications, including a title published by the University of New Mexico titled Neutrosophic Multi-Criteria Decision Making (2020).

Their collaboration network includes frequent co-authors such as Shigui Du, Rui Yong, Fangwei Zhang, Mai Mohamed, and Murat Olgun, indicating sustained partnerships within their research community.

The scientist's work is represented in several publication venues, including:

  • DOAJ (DOAJ: Directory of Open Access Journals)
  • Computer Modeling in Engineering & Sciences
  • Journal of Mathematics
  • Journal of Intelligent & Fuzzy Systems
  • Mathematical Problems in Engineering

Best Publications

  • A multicriteria decision-making method using aggregation operators for simplified neutrosophic sets

    Jun Ye

  • Cosine similarity measures for intuitionistic fuzzy sets and their applications

    Jun Ye

  • Multicriteria decision-making method using the correlation coefficient under single-valued neutrosophic environment

    Jun Ye

  • Similarity measures between interval neutrosophic sets and their applications in multicriteria decision-making

    Jun Ye

  • Multicriteria fuzzy decision-making method based on a novel accuracy function under interval-valued intuitionistic fuzzy environment

    Jun Ye

  • Fuzzy decision-making method based on the weighted correlation coefficient under intuitionistic fuzzy environment

    Jun Ye

  • Single valued neutrosophic cross-entropy for multicriteria decision making problems

    Jun Ye

  • Multicriteria fuzzy decision-making method using entropy weights-based correlation coefficients of interval-valued intuitionistic fuzzy sets

    Jun Ye

  • Improved cosine similarity measures of simplified neutrosophic sets for medical diagnoses

    Jun Ye

  • Scale Effect and Anisotropy Analyzed for Neutrosophic Numbers of Rock Joint Roughness Coefficient Based on Neutrosophic Statistics

    Unknown

  • Expressions of Rock Joint Roughness Coefficient Using Neutrosophic Interval Statistical Numbers

    Unknown

  • Correlation coefficient of dual hesitant fuzzy sets and its application to multiple attribute decision making

    Jun Ye

  • Trapezoidal neutrosophic set and its application to multiple attribute decision-making

    Jun Ye

  • Single-Valued Neutrosophic Minimum Spanning Tree and Its Clustering Method

    Jun Ye

  • Vector Similarity Measures of Simplified Neutrosophic Sets and Their Application in Multicriteria Decision Making

    Jun Ye

  • Some Single-Valued Neutrosophic Dombi Weighted Aggregation Operators for Multiple Attribute Decision-Making

    Jiqian Chen;Jun Ye

  • Single-valued neutrosophic similarity measures based on cotangent function and their application in the fault diagnosis of steam turbine

    Jun Ye

  • Improved method of multicriteria fuzzy decision-making based on vague sets

    Jun Ye

  • Fuzzy cross entropy of interval-valued intuitionistic fuzzy sets and its optimal decision-making method based on the weights of alternatives

    Jun Ye

  • Expected value method for intuitionistic trapezoidal fuzzy multicriteria decision-making problems

    Jun Ye

  • Multiple-attribute Decision-Making Method under a Single-Valued Neutrosophic Hesitant Fuzzy Environment

    Jun Ye

  • Adaptive control of nonlinear PID-based analog neural networks for a nonholonomic mobile robot

    Jun Ye

Frequent Co-Authors

Florentin Smarandache
Florentin Smarandache University of New Mexico
Tahir Mahmood
Tahir Mahmood International Islamic University, Islamabad
Yanhui Guo
Yanhui Guo Fudan University
Said Broumi
Said Broumi University of Hassan II Casablanca
Abdulkadir Sengur
Abdulkadir Sengur Fırat University
Peide Liu
Peide Liu Shandong University of Finance and Economics
Shigen Shen
Shigen Shen Huzhou University
Bibhas C. Giri
Bibhas C. Giri Jadavpur University

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