World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
43
Citations
8733
World Ranking
7922
National Ranking
1039

Liang Feng 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 Liang Feng 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: 145 publications — 25th percentile

25% of scientists in this discipline score the same or lower.

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

Liang Feng 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 Liang Feng 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: 43 D-Index — 46th percentile

46% of scientists in this discipline score the same or lower.

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

Overview

Liang Feng is affiliated with Chongqing University in China and specializes in research primarily within the fields of Computer Science and Engineering. Their work encompasses a broad range of subfields including Artificial Intelligence, Computational Theory and Mathematics, Industrial and Manufacturing Engineering, Computer Networks and Communications, and Electrical and Electronic Engineering.

The scientist has contributed extensively to topics such as Metaheuristic Optimization Algorithms Research, Advanced Multi-Objective Optimization Algorithms, Evolutionary Algorithms and Applications, Vehicle Routing Optimization Methods, Reinforcement Learning in Robotics, 3D Surveying and Cultural Heritage, and Infrastructure Maintenance and Monitoring.

Liang Feng's frequent coauthors include Kay Chen Tan, Yew-Soon Ong, Yuxiao Huang, Abhishek Gupta, and Yaqing Hou, indicating collaboration with experts who have made multiple contributions in their shared fields of study.

Their recent published papers include:

  • "Evolutionary Transfer Optimization - A New Frontier in Evolutionary Computation Research" (2021, IEEE Computational Intelligence Magazine)
  • "Toward Adaptive Knowledge Transfer in Multifactorial Evolutionary Computation" (2020, IEEE Transactions on Cybernetics)
  • "Affine Transformation-Enhanced Multifactorial Optimization for Heterogeneous Problems" (2020, IEEE Transactions on Cybernetics)
  • "Explicit Evolutionary Multitasking for Combinatorial Optimization: A Case Study on Capacitated Vehicle Routing Problem" (2020, IEEE Transactions on Cybernetics)
  • "Solving Dynamic Multiobjective Problem via Autoencoding Evolutionary Search" (2020, IEEE Transactions on Cybernetics)

The venues where Liang Feng frequently publishes include IEEE Transactions on Evolutionary Computation, IEEE Computational Intelligence Magazine, arXiv (Cornell University), IEEE Transactions on Cybernetics, and Automation in Construction. These venues reflect a strong focus on evolutionary computation and intelligent systems within engineering and computer science domains.

Best Publications

  • Multifactorial Evolution: Toward Evolutionary Multitasking

    Abhishek Gupta;Yew-Soon Ong;Liang Feng

  • Extreme Learning Machine

    Erik Cambria;Guang-Bin Huang;Liyanaarachchi Lekamalage Chamara Kasun;Hongming Zhou

  • Multiobjective Multifactorial Optimization in Evolutionary Multitasking

    Abhishek Gupta;Yew-Soon Ong;Liang Feng;Kay Chen Tan

  • Evolutionary Multitasking via Explicit Autoencoding

    Liang Feng;Lei Zhou;Jinghui Zhong;Abhishek Gupta

  • Consistencies and contradictions of performance metrics in multiobjective optimization.

    Siwei Jiang;Yew-Soon Ong;Jie Zhang;Liang Feng

  • Insights on Transfer Optimization: Because Experience is the Best Teacher

    Abhishek Gupta;Yew-Soon Ong;Liang Feng

  • Evolutionary Transfer Optimization - A New Frontier in Evolutionary Computation Research

    Kay Chen Tan;Liang Feng;Min Jiang

  • Affine Transformation-Enhanced Multifactorial Optimization for Heterogeneous Problems

    Xiaoming Xue;Kai Zhang;Kay Chen Tan;Liang Feng

  • Toward Adaptive Knowledge Transfer in Multifactorial Evolutionary Computation

    Lei Zhou;Liang Feng;Kay Chen Tan;Jinghui Zhong

  • Memetic Search With Interdomain Learning: A Realization Between CVRP and CARP

    Liang Feng;Yew-Soon Ong;Meng-Hiot Lim;Ivor W. Tsang

  • Explicit Evolutionary Multitasking for Combinatorial Optimization: A Case Study on Capacitated Vehicle Routing Problem

    Liang Feng;Yuxiao Huang;Lei Zhou;Jinghui Zhong

  • TripImputor: Real-Time Imputing Taxi Trip Purpose Leveraging Multi-Sourced Urban Data

    Chao Chen;Shuhai Jiao;Shu Zhang;Weichen Liu

  • Gene Expression Programming: A Survey [Review Article]

    Jinghui Zhong;Liang Feng;Yew-Soon Ong

  • An Adaptive Archive-Based Evolutionary Framework for Many-Task Optimization

    Yongliang Chen;Jinghui Zhong;Liang Feng;Jun Zhang

  • An empirical study of multifactorial PSO and multifactorial DE

    L. Feng;W. Zhou;L. Zhou;S. W. Jiang

  • Linearized domain adaptation in evolutionary multitasking

    Kavitesh Kumar Bali;Abhishek Gupta;Liang Feng;Yew Soon Ong

  • Evolutionary Multitasking for Multiobjective Continuous Optimization: Benchmark Problems, Performance Metrics and Baseline Results

    Yuan Yuan;Yew-Soon Ong;Liang Feng;A. K. Qin

  • Multifactorial Genetic Programming for Symbolic Regression Problems

    Jinghui Zhong;Liang Feng;Wentong Cai;Yew-Soon Ong

  • Autoencoding Evolutionary Search With Learning Across Heterogeneous Problems

    Liang Feng;Yew-Soon Ong;Siwei Jiang;Abhishek Gupta

  • Solving Generalized Vehicle Routing Problem With Occasional Drivers via Evolutionary Multitasking

    Liang Feng;Lei Zhou;Abhishek Gupta;Jinghui Zhong

  • TrajCompressor : An Online Map-matching-based Trajectory Compression Framework Leveraging Vehicle Heading Direction and Change

    Chao Chen;Yan Ding;Xuefeng Xie;Shu Zhang

Frequent Co-Authors

Yew-Soon Ong
Yew-Soon Ong Nanyang Technological University
Jinghui Zhong
Jinghui Zhong South China University of Technology
Kay Chen Tan
Kay Chen Tan Hong Kong Polytechnic University
Zexuan Zhu
Zexuan Zhu Shenzhen University
Victor C. S. Lee
Victor C. S. Lee University of Hong Kong
Jiepeng Liu
Jiepeng Liu Chongqing University
Ah-Hwee Tan
Ah-Hwee Tan Singapore Management University
Sang H. Son
Sang H. Son University of Virginia
Songtao Guo
Songtao Guo Chongqing University
Ivor W. Tsang
Ivor W. Tsang Agency for Science, Technology and Research

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