World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
71
Citations
18112
World Ranking
1790
National Ranking
248

Shengli Xie 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 Shengli Xie 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: 320 publications — 77th percentile

77% of scientists in this discipline score the same or lower.

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

Shengli Xie 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 Shengli Xie 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: 71 D-Index — 88th percentile

88% of scientists in this discipline score the same or lower.

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

Overview

Shengli Xie is affiliated with Guangdong University of Technology in China. Their research spans key areas within engineering and computer science, with particular focus on subfields including computer vision and pattern recognition, artificial intelligence, electrical and electronic engineering, computer networks and communications, and control and systems engineering.

The scientist's work covers a variety of topics, prominently featuring blind source separation techniques, face and expression recognition, optical measurement and interference techniques, IoT and edge/fog computing, adaptive dynamic programming control, optical coherence tomography applications, and indoor and outdoor localization technologies.

Shengli Xie has contributed to numerous recent papers, including:

  • Optimal energy management for multi-energy multi-microgrid networks considering carbon emission limitations, 2022, published in Energy
  • Cooperative Offloading and Resource Management for UAV-Enabled Mobile Edge Computing in Power IoT System, 2020, published in IEEE Transactions on Vehicular Technology
  • Cooperative P2P Energy Trading in Active Distribution Networks: An MILP-Based Nash Bargaining Solution, 2020, published in IEEE Transactions on Smart Grid
  • Multi-view clustering by non-negative matrix factorization with co-orthogonal constraints, 2020, published in Knowledge-Based Systems
  • Uniform Distribution Non-Negative Matrix Factorization for Multiview Clustering, 2020, published in IEEE Transactions on Cybernetics

Their frequent co-authors include:

  • Zhenni Li
  • Kan Xie
  • Jiawen Kang
  • Zhaoshui He
  • Guoxu Zhou

Publication venues where Shengli Xie has frequently contributed include:

  • IEEE Internet of Things Journal
  • arXiv (Cornell University)
  • SSRN Electronic Journal
  • IEEE Transactions on Vehicular Technology
  • IEEE Transactions on Neural Networks and Learning Systems

Best Publications

  • Incentive Mechanism for Reliable Federated Learning: A Joint Optimization Approach to Combining Reputation and Contract Theory

    Jiawen Kang;Zehui Xiong;Dusit Niyato;Shengli Xie

  • Blockchain for Secure and Efficient Data Sharing in Vehicular Edge Computing and Networks

    Jiawen Kang;Rong Yu;Xumin Huang;Maoqiang Wu

  • Home M2M networks: Architectures, standards, and QoS improvement

    Yan Zhang;Rong Yu;Shengli Xie;Wenqing Yao

  • Intelligent Edge Computing for IoT-Based Energy Management in Smart Cities

    Yi Liu;Chao Yang;Li Jiang;Shengli Xie

  • Deep Reinforcement Learning for Offloading and Resource Allocation in Vehicle Edge Computing and Networks

    Yi Liu;Huimin Yu;Shengli Xie;Yan Zhang

  • Underdetermined blind source separation based on sparse representation

    Yuanqing Li;S. Amari;A. Cichocki;D.W.C. Ho

  • Cognitive machine-to-machine communications: visions and potentials for the smart grid

    Yan Zhang;Rong Yu;Maziar Nekovee;Yi Liu

  • Gradient-Based Structural Similarity for Image Quality Assessment

    Guan-Hao Chen;Chun-Ling Yang;Sheng-Li Xie

  • Cognitive radio based hierarchical communications infrastructure for smart grid

    Rong Yu;Yan Zhang;S. Gjessing;Chau Yuen

  • An ant colony optimization algorithm for image edge detection

    Jing Tian;Weiyu Yu;Shengli Xie

  • Finite-Time Distributed State Estimation Over Sensor Networks With Round-Robin Protocol and Fading Channels

    Yong Xu;Renquan Lu;Peng Shi;Hongyi Li

  • Peak-to-Average Ratio Constrained Demand-Side Management With Consumer's Preference in Residential Smart Grid

    Yi Liu;Chau Yuen;Shisheng Huang;Naveed Ul Hassan

  • Symmetric Nonnegative Matrix Factorization: Algorithms and Applications to Probabilistic Clustering

    Zhaoshui He;Shengli Xie;R. Zdunek;Guoxu Zhou

  • Reinforcement Learning-Based Adaptive Optimal Exponential Tracking Control of Linear Systems With Unknown Dynamics

    Ci Chen;Hamidreza Modares;Kan Xie;Frank L. Lewis

  • Detecting the Number of Clusters in n-Way Probabilistic Clustering

    Zhaoshui He;Andrzej Cichocki;Shengli Xie;Kyuwan Choi

  • Edge-Based Structural Similarity for Image Quality Assessment

    Guan-Hao Chen;Chun-Ling Yang;Lai-Man Po;Sheng-Li Xie

  • Balancing Power Demand Through EV Mobility in Vehicle-to-Grid Mobile Energy Networks

    Rong Yu;Weifeng Zhong;Shengli Xie;Chau Yuen

  • Efficient Mobility-Aware Task Offloading for Vehicular Edge Computing Networks

    Chao Yang;Yi Liu;Xin Chen;Weifeng Zhong

  • Linked Component Analysis From Matrices to High-Order Tensors: Applications to Biomedical Data

    Guoxu Zhou;Qibin Zhao;Yu Zhang;Tulay Adali

  • Blind Spectral Unmixing Based on Sparse Nonnegative Matrix Factorization

    Zuyuan Yang;Guoxu Zhou;Shengli Xie;Shuxue Ding

  • Multiview Subspace Clustering via Tensorial t-Product Representation

    Ming Yin;Junbin Gao;Shengli Xie;Yi Guo

  • A Parallel Cooperative Spectrum Sensing in Cognitive Radio Networks

    Shengli Xie;Yi Liu;Yan Zhang;Rong Yu

Frequent Co-Authors

Rong Yu
Rong Yu Guangdong University of Technology
Guoxu Zhou
Guoxu Zhou Guangdong University of Technology
Andrzej Cichocki
Andrzej Cichocki Systems Research Institute
Yun Zhang
Yun Zhang Guangdong University of Technology
Zhi Liu
Zhi Liu Guangdong University of Technology
C. L. Philip Chen
C. L. Philip Chen South China University of Technology
Chau Yuen
Chau Yuen Nanyang Technological University
Yong Xiang
Yong Xiang Deakin University
Junbin Gao
Junbin Gao University of Sydney
Jiawen Kang
Jiawen Kang Guangdong University of Technology

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