World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
44
Citations
10474
World Ranking
7457
National Ranking
983

Li Guo 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 Li Guo 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: 428 publications — 89th percentile

89% of scientists in this discipline score the same or lower.

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

Li Guo 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 Li Guo 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: 44 D-Index — 48th percentile

48% of scientists in this discipline score the same or lower.

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

Overview

Li Guo is affiliated with the Chinese Academy of Sciences in China. Their research primarily spans the fields of Engineering and Computer Science, with a strong focus on Electrical and Electronic Engineering and Artificial Intelligence. Other subfields include Aerospace Engineering, Computer Vision and Pattern Recognition, and Computer Networks and Communications.

Their main research topics encompass various advanced technological areas, such as:

  • Advanced Wireless Communication Technologies
  • Advanced Topics in Algebra
  • Satellite Communication Systems
  • Algebraic structures and combinatorial models
  • Topic Modeling
  • Advanced Graph Neural Networks
  • Optical Wireless Communication Technologies

Li Guo has contributed to multiple recent publications in high-impact venues. Notable papers include:

  • Simultaneously Transmitting And Reflecting (STAR) RIS Aided Wireless Communications, 2021, arXiv (Cornell University)
  • Accelerating eye movement research via accurate and affordable smartphone eye tracking, 2020, Nature Communications
  • Capacity and Optimal Resource Allocation for IRS-Assisted Multi-User Communication Systems, 2021, IEEE Transactions on Communications
  • NOMA-Aided Joint Radar and Multicast-Unicast Communication Systems, 2022, IEEE Journal on Selected Areas in Communications
  • Heterogeneous Semantic and Bit Communications: A Semi-NOMA Scheme, 2022, IEEE Journal on Selected Areas in Communications

Frequent co-authors collaborating with Li Guo include:

  • Xidong Mu
  • Shibiao Xu
  • Yuanwei Liu
  • Ao Huang
  • Guangyu Zhu

The scientist's work appears regularly in the following publication venues, indicating the channels through which their research is disseminated:

  • arXiv (Cornell University)
  • IEEE Transactions on Wireless Communications
  • IEEE Transactions on Communications
  • IEEE Journal on Selected Areas in Communications
  • IEEE Transactions on Vehicular Technology

Li Guo's research integrates principles from electrical engineering and computer science to address challenges in wireless communication systems, resource allocation, semantic communication, and eye tracking methodologies. Their contributions span both theoretical aspects, such as algebraic models and graph neural networks, and applied areas involving communication technologies and sensing techniques.

Best Publications

  • Knowledge Graph Embedding: A Survey of Approaches and Applications

    Quan Wang;Zhendong Mao;Bin Wang;Li Guo

  • The Microarray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive models

    Leming Shi;Gregory Campbell;Wendell D. Jones;Fabien Campagne

  • Simultaneously Transmitting And Reflecting (STAR) RIS Aided Wireless Communications

    Xidong Mu;Yuanwei Liu;Li Guo;Jiaru Lin

  • Knowledge Graph Embedding with Iterative Guidance from Soft Rules

    Unknown

  • Jointly Embedding Knowledge Graphs and Logical Rules

    Shu Guo;Quan Wang;Lihong Wang;Bin Wang

  • DAN: Deep Attention Neural Network for News Recommendation

    Qiannan Zhu;Xiaofei Zhou;Zeliang Song;Jianlong Tan

  • Survey and taxonomy of feature selection algorithms in intrusion detection system

    You Chen;Yang Li;Xue-Qi Cheng;Li Guo

  • An active learning based TCM-KNN algorithm for supervised network intrusion detection

    Unknown

  • A semantics aware approach to automated reverse engineering unknown protocols

    Yipeng Wang;Xiaochun Yun;M. Zubair Shafiq;Liyan Wang

  • Improving Knowledge Graph Embedding Using Simple Constraints

    Unknown

  • Meso-scale oriented simulation towards virtual process engineering (VPE)-The EMMS Paradigm

    Wei Ge;Wei Wang;Ning Yang;Jinghai Li

  • Semantically Smooth Knowledge Graph Embedding

    Shu Guo;Quan Wang;Bin Wang;Lihong Wang

  • Knowledge base completion using embeddings and rules

    Unknown

  • Neighborhood-Aware Attentional Representation for Multilingual Knowledge Graphs.

    Qiannan Zhu;Xiaofei Zhou;Jia Wu;Jianlong Tan

  • Heterogeneous Semantic and Bit Communications: A Semi-NOMA Scheme

    Unknown

  • Capacity and Optimal Resource Allocation for IRS-Assisted Multi-User Communication Systems

    Xidong Mu;Yuanwei Liu;Li Guo;Jiaru Lin

  • Pyrolysis simulations of Fugu coal by large-scale ReaxFF molecular dynamics

    Mingjie Gao;Xiaoxia Li;Li Guo

  • Robust ensemble learning for mining noisy data streams

    Peng Zhang;Xingquan Zhu;Yong Shi;Li Guo

  • On the Upper Bounds of Spread for Greedy Algorithms in Social Network Influence Maximization

    Chuan Zhou;Peng Zhang;Wenyu Zang;Li Guo

  • Personalized influence maximization on social networks

    Jing Guo;Peng Zhang;Chuan Zhou;Yanan Cao

  • Algorithms of GPU-enabled reactive force field (ReaxFF) molecular dynamics.

    Mo Zheng;Xiaoxia Li;Li Guo

  • Inferring Protocol State Machine from Network Traces: A Probabilistic Approach

    Unknown

  • Classifier and Cluster Ensembles for Mining Concept Drifting Data Streams

    Peng Zhang;Xingquan Zhu;Jianlong Tan;Li Guo

  • NOMA-Aided Joint Radar and Multicast-Unicast Communication Systems.

    Xidong Mu;Yuanwei Liu;Li Guo;Jiaru Lin

  • A relation-specific attention network for joint entity and relation extraction

    Yue Yuan;Xiaofei Zhou;Shirui Pan;Qiannan Zhu

  • NTIRE 2019 Challenge on Real Image Super-Resolution: Methods and Results

    Jianrui Cai;Shuhang Gu;Radu Timofte;Lei Zhang

  • Network anomaly detection based on TCM-KNN algorithm

    Yang Li;Binxing Fang;Li Guo;You Chen

  • Mining Data Streams with Labeled and Unlabeled Training Examples

    Peng Zhang;Xingquan Zhu;Li Guo

  • Combining heterogenous social and geographical information for event recommendation

    Zhi Qiao;Peng Zhang;Yanan Cao;Chuan Zhou

  • Reaction analysis and visualization of ReaxFF molecular dynamics simulations.

    Jian Liu;Xiaoxia Li;Li Guo;Mo Zheng

  • UBLF: An Upper Bound Based Approach to Discover Influential Nodes in Social Networks

    Chuan Zhou;Peng Zhang;Jing Guo;Xingquan Zhu

Frequent Co-Authors

Peng Zhang
Peng Zhang Huazhong University of Science and Technology
Wei Ge
Wei Ge Chinese Academy of Sciences
Jinghai Li
Jinghai Li Chinese Academy of Sciences
Jia Wu
Jia Wu Macquarie University
Xingquan Zhu
Xingquan Zhu Florida Atlantic University
Xueqi Cheng
Xueqi Cheng Chinese Academy of Sciences
Weida Tong
Weida Tong National Center for Toxicological Research
Hong Fang
Hong Fang National Center for Toxicological Research
Min Zhang
Min Zhang Jiangnan University
Xiaowei Xu
Xiaowei Xu University of Arkansas at Little Rock

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