World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
46
Citations
7032
World Ranking
6930
National Ranking
929

Xibei Yang 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 Xibei Yang 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: 211 publications — 50th percentile

50% of scientists in this discipline score the same or lower.

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

Xibei Yang 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 Xibei Yang 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: 46 D-Index — 53rd percentile

53% of scientists in this discipline score the same or lower.

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

Overview

Xibei Yang is affiliated with Jiangsu University of Science and Technology in China and conducts research primarily in the field of computer science. Their work spans multiple subfields, including artificial intelligence, computational theory and mathematics, information systems, computer vision and pattern recognition, and molecular biology.

The scientist's main areas of focus cover a range of topics such as rough sets and fuzzy logic, text and document classification technologies, data mining algorithms and applications, advanced graph neural networks, machine learning and data classification, data management and algorithms, and imbalanced data classification techniques.

Xibei Yang has published extensively in various scientific venues. The most frequent publication venues include:

  • Information Sciences
  • International Journal of Machine Learning and Cybernetics
  • Applied Soft Computing
  • International Journal of Approximate Reasoning
  • Applied Intelligence

Some recent papers authored or coauthored by Xibei Yang are:

  • "Attribute group for attribute reduction," 2020, Information Sciences
  • "Accelerator for supervised neighborhood based attribute reduction," 2020, International Journal of Approximate Reasoning
  • "Supervised information granulation strategy for attribute reduction," 2020, International Journal of Machine Learning and Cybernetics
  • "Granular ball guided selector for attribute reduction," 2021, Knowledge-Based Systems
  • "Incremental fuzzy probability decision-theoretic approaches to dynamic three-way approximations," 2020, Information Sciences

Collaborations form an important aspect of Xibei Yang's research. Frequent coauthors include:

  • Keyu Liu
  • Hengrong Ju
  • Pingxin Wang
  • Hualong Yu
  • Taihua Xu

Best Publications

  • Combination of interval-valued fuzzy set and soft set

    Xibei Yang;Tsau Young Lin;Jingyu Yang;Yan Li

  • Dominance-based rough set approach and knowledge reductions in incomplete ordered information system

    Xibei Yang;Jingyu Yang;Chen Wu;Dongjun Yu

  • Dominance-based rough set approach to incomplete interval-valued information system

    Xibei Yang;Dongjun Yu;Jingyu Yang;Lihua Wei

  • A comparative study of multigranulation rough sets and concept lattices via rule acquisition

    Jinhai Li;Yue Ren;Changlin Mei;Yuhua Qian

  • Test cost sensitive multigranulation rough set: Model and minimal cost selection

    Xibei Yang;Xibei Yang;Yunsong Qi;Xiaoning Song;Xiaoning Song;Jingyu Yang

  • Multi-label learning with label-specific feature reduction

    Suping Xu;Xibei Yang;Hualong Yu;Dong-Jun Yu

  • Active Learning From Imbalanced Data: A Solution of Online Weighted Extreme Learning Machine

    Hualong Yu;Xibei Yang;Shang Zheng;Changyin Sun

  • Neighborhood systems-based rough sets in incomplete information system

    Xibei Yang;Ming Zhang;Huili Dou;Jingyu Yang

  • Pseudo-label neighborhood rough set: Measures and attribute reductions

    Xibei Yang;Xibei Yang;Shaochen Liang;Hualong Yu;Shang Gao

  • Updating multigranulation rough approximations with increasing of granular structures

    Xibei Yang;Yong Qi;Hualong Yu;Xiaoning Song

  • Generalization of Soft Set Theory: From Crisp to Fuzzy Case

    Xibei Yang;Dongjun Yu;Jingyu Yang;Chen Wu;Chen Wu

  • Rough set based semi-supervised feature selection via ensemble selector

    Keyu Liu;Xibei Yang;Hualong Yu;Jusheng Mi

  • On multigranulation rough sets in incomplete information system

    Xibei Yang;Xiaoning Song;Zehua Chen;Jingyu Yang

  • Support vector machine-based optimized decision threshold adjustment strategy for classifying imbalanced data

    Hualong Yu;Chaoxu Mu;Changyin Sun;Wankou Yang

  • An efficient selector for multi-granularity attribute reduction

    Keyu Liu;Xibei Yang;Hamido Fujita;Dun Liu

  • Attribute group for attribute reduction

    Yan Chen;Keyu Liu;Jingjing Song;Hamido Fujita;Hamido Fujita;Hamido Fujita

  • Constructive and axiomatic approaches to hesitant fuzzy rough set

    Xibei Yang;Xiaoning Song;Yunsong Qi;Jingyu Yang

  • Multi-granulation rough set: from crisp to fuzzy case

    Xi-Bei Yang;Xiaoning Song;Huili Dou;Jingyu Yang

  • Three-way k-means: integrating k-means and three-way decision

    Pingxin Wang;Pingxin Wang;Hong Shi;Xibei Yang;Jusheng Mi

  • Ensemble selector for attribute reduction

    Xibei Yang;Xibei Yang;Yiyu Yao

  • Predicting Protein-DNA Binding Residues by Weightedly Combining Sequence-Based Features and Boosting Multiple SVMs

    Jun Hu;Yang Li;Ming Zhang;Xibei Yang

  • α-Dominance relation and rough sets in interval-valued information systems

    Xibei Yang;Yong Qi;Dong-Jun Yu;Hualong Yu

Frequent Co-Authors

Jingyu Yang
Jingyu Yang Nanjing University of Science and Technology
Dong-Jun Yu
Dong-Jun Yu Nanjing University of Science and Technology
Yuhua Qian
Yuhua Qian Shanxi University
Hamido Fujita
Hamido Fujita University of Technology Malaysia
Dun Liu
Dun Liu Southwest Jiaotong University
Xiaojun Wu
Xiaojun Wu University of Science and Technology of China
Hong-Bin Shen
Hong-Bin Shen Shanghai Jiao Tong University
Xiaohua Hu
Xiaohua Hu Drexel University
Changyin Sun
Changyin Sun Southeast University
Xianzhong Zhou
Xianzhong Zhou Nanjing University

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