World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
74
Citations
21740
World Ranking
1495
National Ranking
203

Kenli Li 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 Kenli Li 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: 615 publications — 97th percentile

97% of scientists in this discipline score the same or lower.

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

Kenli Li 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 Kenli Li 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: 74 D-Index — 90th percentile

90% of scientists in this discipline score the same or lower.

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

Overview

Kenli Li is affiliated with Hunan University in China and is active in the field of computer science, with a total of 679 publications contributing to this domain. Their research interests focus on several subfields including Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, and Information Systems.

The main topics covered in their research include:

  • Parallel Computing and Optimization Techniques
  • IoT and Edge/Fog Computing
  • Advanced Neural Network Applications
  • Advanced Graph Neural Networks
  • Cloud Computing and Resource Management
  • Tensor Decomposition and Applications
  • Graph Theory and Algorithms

Kenli Li has published research extensively in key venues such as:

  • arXiv (Cornell University)
  • IEEE Transactions on Parallel and Distributed Systems
  • IEEE Transactions on Knowledge and Data Engineering
  • Information Sciences
  • IEEE Journal of Biomedical and Health Informatics

The scientist has frequently collaborated with a number of coauthors, including:

  • Keqin Li (115 joint publications)
  • Zhuo Tang (42 joint publications)
  • Chubo Liu (29 joint publications)
  • Wangdong Yang (26 joint publications)
  • Guoqing Xiao (22 joint publications)

Selected recent papers from Kenli Li's research portfolio include:

  • "Repurpose Open Data to Discover Therapeutics for COVID-19 Using Deep Learning," 2020, Journal of Proteome Research
  • "Citywide Traffic Flow Prediction Based on Multiple Gated Spatio-temporal Convolutional Neural Networks," 2020, ACM Transactions on Knowledge Discovery from Data
  • "Accurate prediction of molecular properties and drug targets using a self-supervised image representation learning framework," 2022, Nature Machine Intelligence
  • "Automatic Fetal Ultrasound Standard Plane Recognition Based on Deep Learning and IIoT," 2021, IEEE Transactions on Industrial Informatics
  • "Hierarchical Graph Neural Networks for Few-Shot Learning," 2021, IEEE Transactions on Circuits and Systems for Video Technology

Best Publications

  • iProX: an integrated proteome resource.

    Jie Ma;Tao Chen;Songfeng Wu;Chunyuan Yang

  • vCUDA: GPU-Accelerated High-Performance Computing in Virtual Machines

    Lin Shi;Hao Chen;Jianhua Sun;Kenli Li

  • A Parallel Random Forest Algorithm for Big Data in a Spark Cloud Computing Environment

    Jianguo Chen;Kenli Li;Zhuo Tang;Kashif Bilal

  • A genetic algorithm for task scheduling on heterogeneous computing systems using multiple priority queues

    Yuming Xu;Kenli Li;Jingtong Hu;Keqin Li;Keqin Li

  • Hyperspectral Anomaly Detection With Attribute and Edge-Preserving Filters

    Xudong Kang;Xiangping Zhang;Shutao Li;Kenli Li

  • An Energy-Efficient Task Scheduling Algorithm in DVFS-enabled Cloud Environment

    Zhuo Tang;Ling Qi;Zhenzhen Cheng;Kenli Li

  • A hybrid deep learning CNNELM for age and gender classification

    Mingxing Duan;Kenli Li;Canqun Yang;Keqin Li

  • Energy-Efficient Stochastic Task Scheduling on Heterogeneous Computing Systems

    Kenli Li;Xiaoyong Tang;Keqin Li

  • Repurpose Open Data to Discover Therapeutics for COVID-19 Using Deep Learning.

    Xiangxiang Zeng;Xiang Song;Tengfei Ma;Xiaoqin Pan

  • Distributed Deep Learning Model for Intelligent Video Surveillance Systems with Edge Computing

    Jianguo Chen;Kenli Li;Qingying Deng;Keqin Li

  • Performance Analysis and Optimization for SpMV on GPU Using Probabilistic Modeling

    Kenli Li;Wangdong Yang;Keqin Li

  • A scheduling scheme in the cloud computing environment using deep Q-learning

    Zhao Tong;Hongjian Chen;Xiaomei Deng;Kenli Li

  • Gated Residual Recurrent Graph Neural Networks for Traffic Prediction

    Cen Chen;Kenli Li;Sin G. Teo;Xiaofeng Zou

  • Citywide Traffic Flow Prediction Based on Multiple Gated Spatio-temporal Convolutional Neural Networks

    Cen Chen;Kenli Li;Sin G. Teo;Xiaofeng Zou

  • Scheduling Precedence Constrained Stochastic Tasks on Heterogeneous Cluster Systems

    Kenli Li;Xiaoyong Tang;Bharadwaj Veeravalli;Keqin Li

  • Multiple convolutional neural networks for multivariate time series prediction

    Kang Wang;Kenli Li;Liqian Zhou;Yikun Hu

  • Bi-objective workflow scheduling of the energy consumption and reliability in heterogeneous computing systems

    Longxin Zhang;Longxin Zhang;Kenli Li;Changyun Li;Keqin Li;Keqin Li

  • Automatic Fetal Ultrasound Standard Plane Recognition Based on Deep Learning and IIoT

    Bin Pu;Kenli Li;Shengli Li;Ningbo Zhu

  • A robust and fixed-time zeroing neural dynamics for computing time-variant nonlinear equation using a novel nonlinear activation function

    Fei Yu;Li Liu;Lin Xiao;Kenli Li

  • Chemical reaction optimization with greedy strategy for the 0-1 knapsack problem

    Tung Khac Truong;Kenli Li;Yuming Xu

  • A Parallel Multiclassification Algorithm for Big Data Using an Extreme Learning Machine

    Mingxing Duan;Kenli Li;Xiangke Liao;Keqin Li

  • A Hybrid Chemical Reaction Optimization Scheme for Task Scheduling on Heterogeneous Computing Systems

    Yuming Xu;Kenli Li;Ligang He;Longxin Zhang

Frequent Co-Authors

Keqin Li
Keqin Li State University of New York at New Paltz
Lin Xiao
Lin Xiao Hunan Normal University
Xiangke Liao
Xiangke Liao National University of Defense Technology
Kashif Bilal
Kashif Bilal COMSATS University Islamabad
Philip S. Yu
Philip S. Yu University of Illinois at Chicago
Qi Tian
Qi Tian Huawei Technologies (China)
Xiao Qin
Xiao Qin Auburn University
Guojun Wang
Guojun Wang Guangzhou University
Edwin H.-M. Sha
Edwin H.-M. Sha East China Normal University
Albert Y. Zomaya
Albert Y. Zomaya University of Sydney

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

Exploring online education offers you flexibility to start or advance your career in computer science or related fields. Options like 1 year associate degree programs online allow you to gain foundational skills quickly and efficiently. Fast-track programs are ideal for students who need to enter the workforce sooner.

Budget is a key concern for many. Fortunately, there are cheap online degrees fast that help reduce costs and student debt. These affordable options make higher education more accessible to a wide range of students.

If academic performance is a concern, you’ll find support as well. Many college that accepts low gpa applicants provide pathways for those looking to improve or restart their academic journey.

Finally, after graduation, a computer science degree opens up careers in countless sectors. If you are interested in branching out, you might consider allied fields. For example, discover what can i do with an environmental science degree to see how tech skills intersect with environmental impact and innovation.

Best Scientists Citing Kenli Li

Trending Scientists

Recently Published Articles