World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
84
Citations
29472
World Ranking
849
National Ranking
464

Keqin 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 Keqin 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: 250 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: 560 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: 424 scientists 242–251 publications: 408 scientists 252–261 publications: 378 scientists 262–271 publications: 300 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: 1,069 publications — 99th percentile

99% of scientists in this discipline score the same or lower.

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

Keqin 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 Keqin Li sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 984 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 969 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 765 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 517 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: 84 D-Index — 94th percentile

94% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2015 - IEEE Fellow For contributions to parallel and distributed computing
  • 2007 - ACM Senior Member

Overview

Keqin Li is affiliated with the State University of New York at New Paltz in the United States and has an extensive publication record within the field of Computer Science, with a particular focus on Computer Networks and Communications, Artificial Intelligence, and Information Systems. Their research contributions span a variety of interconnected subfields including Computer Vision and Pattern Recognition and Electrical and Electronic Engineering.

Their work primarily addresses topics such as IoT and Edge/Fog Computing, Cloud Computing and Resource Management, Age of Information Optimization, Distributed and Parallel Computing Systems, Caching and Content Delivery, Parallel Computing and Optimization Techniques, and Blockchain Technology Applications and Security.

Keqin Li has been involved in publishing recent academic papers in several respected venues. Notable works include:

  • Citywide Traffic Flow Prediction Based on Multiple Gated Spatio-temporal Convolutional Neural Networks, 2020, ACM Transactions on Knowledge Discovery from Data
  • Enhancing MOEA/D with information feedback models for large-scale many-objective optimization, 2020, Information Sciences
  • Distributed Task Migration Optimization in MEC by Extending Multi-Agent Deep Reinforcement Learning Approach, 2020, IEEE Transactions on Parallel and Distributed Systems
  • Min-Max Cost Optimization for Efficient Hierarchical Federated Learning in Wireless Edge Networks, 2021, IEEE Transactions on Parallel and Distributed Systems
  • A Stackelberg game approach to multiple resources allocation and pricing in mobile edge computing, 2020, Future Generation Computer Systems

Frequent collaborators in Li's research include Kenli Li, Tao Meng, Weiwei Lin, Yuntao Shou, and Wei Ai.

Keqin Li has published extensively in several frequent publication venues, including:

  • arXiv (Cornell University)
  • IEEE Internet of Things Journal
  • IEEE Transactions on Services Computing
  • Future Generation Computer Systems
  • SSRN Electronic Journal

Among the professional recognitions, Keqin Li was named an IEEE Fellow in 2015 for contributions to parallel and distributed computing and became an ACM Senior Member in 2007.

Best Publications

  • A Comprehensive Survey of Network Function Virtualization

    Bo Yi;Xingwei Wang;Keqin Li;Sajal k. Das

  • 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

  • A Survey of Intrusion Detection for In-Vehicle Networks

    Wufei Wu;Renfa Li;Guoqi Xie;Jiyao An

  • Sustainable Computing: Informatics and Systems

    Keqin 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

  • Optimal Multiserver Configuration for Profit Maximization in Cloud Computing

    Junwei Cao;Kai Hwang;Keqin Li;Albert Y. Zomaya

  • Multi-User Multi-Task Computation Offloading in Green Mobile Edge Cloud Computing

    Weiwei Chen;Dong Wang;Keqin Li

  • Energy-Efficient Stochastic Task Scheduling on Heterogeneous Computing Systems

    Kenli Li;Xiaoyong Tang;Keqin Li

  • SeDaSC: Secure Data Sharing in Clouds

    Mazhar Ali;Revathi Dhamotharan;Eraj Khan;Samee U. Khan

  • Optimal dynamic mobility management for PCS networks

    Jie Li;Hisao Kameda;Keqin Li

  • Minimizing SLA violation and power consumption in Cloud data centers using adaptive energy-aware algorithms

    Zhou Zhou;Zhou Zhou;Jemal Abawajy;Morshed Chowdhury;Zhigang Hu

  • Optimal Power Allocation and Load Distribution for Multiple Heterogeneous Multicore Server Processors across Clouds and Data Centers

    Junwei Cao;Keqin Li;Ivan Stojmenovic

  • 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

  • A two dimensional buddy system for dynamic resource allocation in a partitionable mesh connected system

    Keqin Li;Kam Hoi Cheng

  • 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

  • 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

  • A two-dimensional buddy systems for dynamic resource allocation in a partitionable mesh connected system

    Keqin Li;Kam-Hoi Cheng

Frequent Co-Authors

Kenli Li
Kenli Li Hunan University
Guoqi Xie
Guoqi Xie Hunan University
Samee U. Khan
Samee U. Khan Mississippi State University
Albert Y. Zomaya
Albert Y. Zomaya University of Sydney
Kashif Bilal
Kashif Bilal COMSATS University Islamabad
Fan Zhang
Fan Zhang Chinese Academy of Sciences
Weimin Zheng
Weimin Zheng Tsinghua University
Philip S. Yu
Philip S. Yu University of Illinois at Chicago
Hong Shen
Hong Shen Sun Yat-sen University
Jie Li
Jie Li Shanghai Jiao Tong University

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