World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
47
Citations
7513
World Ranking
6584
National Ranking
883

Fangming Liu 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 Fangming Liu 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: 129 publications — 18th percentile

18% of scientists in this discipline score the same or lower.

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

Fangming Liu 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 Fangming Liu 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: 47 D-Index — 56th percentile

56% of scientists in this discipline score the same or lower.

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

Overview

Fangming Liu is affiliated with Huazhong University of Science and Technology in China. Their research spans the disciplines of Computer Science and Engineering, with a focus on subfields such as Computer Networks and Communications, Electrical and Electronic Engineering, Materials Chemistry, Computer Vision and Pattern Recognition, and Information Systems.

Their work covers a range of topics including IoT and Edge/Fog Computing, Cloud Computing and Resource Management, Advanced Battery Technologies Research, Caching and Content Delivery, Advanced Battery Materials and Technologies, Electrocatalysts for Energy Conversion, and Ammonia Synthesis and Nitrogen Reduction.

Liu has published extensively in several venues, among which the most frequent are arXiv (Cornell University) with 22 publications, IEEE Transactions on Parallel and Distributed Systems with 10, IEEE Transactions on Mobile Computing with 5, International Journal of Hydrogen Energy with 4, and IEEE INFOCOM 2022 - IEEE Conference on Computer Communications with 3 publications.

Notable recent papers include:

  • Boosting the Kinetics and Stability of Zn Anodes in Aqueous Electrolytes with Supramolecular Cyclodextrin Additives, 2022, Journal of the American Chemical Society
  • Electroless Formation of a Fluorinated Li/Na Hybrid Interphase for Robust Lithium Anodes, 2021, Journal of the American Chemical Society
  • Anionic Formulation of Electrolyte Additive Towards Stable Electrocatalytic Oxygen Evolution in Seawater Splitting, 2022, Journal of Energy Chemistry
  • Stabilizing Zinc Electrodes with a Vanillin Additive in Mild Aqueous Electrolytes, 2021, ACS Applied Materials & Interfaces
  • An Online Framework for Joint Network Selection and Service Placement in Mobile Edge Computing, 2021, IEEE Transactions on Mobile Computing

Fangming Liu collaborates frequently with several researchers, among whom are Fangyi Cheng with 18 joint publications, Jinhan Li with 10, Meng Yu with 10, Zhi Zhou with 9, and Jiuding Liu with 8.

Best Publications

  • Gearing resource-poor mobile devices with powerful clouds: architectures, challenges, and applications

    Fangming Liu;Peng Shu;Hai Jin;Linjie Ding

  • Managing Performance Overhead of Virtual Machines in Cloud Computing: A Survey, State of the Art, and Future Directions

    Fei Xu;Fangming Liu;Hai Jin;Athanasios V. Vasilakos

  • A Framework for Truthful Online Auctions in Cloud Computing with Heterogeneous User Demands

    Hong Zhang;Hongbo Jiang;Bo Li;Fangming Liu

  • A framework for truthful online auctions in cloud computing with heterogeneous user demands

    Hong Zhang;Bo Li;Hongbo Jiang;Fangming Liu

  • iAware: Making Live Migration of Virtual Machines Interference-Aware in the Cloud

    Fei Xu;Fangming Liu;Linghui Liu;Hai Jin

  • Building a network highway for big data: architecture and challenges

    Xiaomeng Yi;Fangming Liu;Jiangchuan Liu;Hai Jin

  • Dynamic SDN controller assignment in data center networks: Stable matching with transfers

    Tao Wang;Fangming Liu;Jian Guo;Hong Xu

  • Harnessing renewable energy in cloud datacenters: opportunities and challenges

    Wei Deng;Fangming Liu;Hai Jin;Bo Li

  • Winning at the Starting Line: Joint Network Selection and Service Placement for Mobile Edge Computing

    Bin Gao;Zhi Zhou;Fangming Liu;Fei Xu

  • NFVdeep: adaptive online service function chain deployment with deep reinforcement learning

    Yikai Xiao;Qixia Zhang;Fangming Liu;Jia Wang

  • Adaptive VNF Scaling and Flow Routing with Proactive Demand Prediction

    Xincai Fei;Fangming Liu;Hong Xu;Hai Jin

  • eTime: Energy-efficient transmission between cloud and mobile devices

    Peng Shu;Fangming Liu;Hai Jin;Min Chen

  • On Arbitrating the Power-Performance Tradeoff in SaaS Clouds

    Fangming Liu;Zhi Zhou;Hai Jin;Bo Li

  • An Efficient Online Algorithm for Dynamic SDN Controller Assignment in Data Center Networks

    Tao Wang;Fangming Liu;Hong Xu

  • Joint Optimization of Chain Placement and Request Scheduling for Network Function Virtualization

    Qixia Zhang;Yikai Xiao;Fangming Liu;John C.S. Lui

  • Adaptive Interference-Aware VNF Placement for Service-Customized 5G Network Slices

    Qixia Zhang;Fangming Liu;Chaobing Zeng

  • Latency-aware VNF Chain Deployment with Efficient Resource Reuse at Network Edge

    Panpan Jin;Xincai Fei;Qixia Zhang;Fangming Liu

  • An Online Framework for Joint Network Selection and Service Placement in Mobile Edge Computing

    Bin Gao;Zhi Zhou;Fangming Liu;Fei Xu

  • Heterogeneity and Interference-Aware Virtual Machine Provisioning for Predictable Performance in the Cloud

    Fei Xu;Fangming Liu;Hai Jin

  • Fair network bandwidth allocation in iaas datacenters via a cooperative game approach

    Jian Guo;Fangming Liu;John C. S. Lui;Hai Jin

  • Carbon-Aware Load Balancing for Geo-distributed Cloud Services

    Zhi Zhou;Fangming Liu;Yong Xu;Ruolan Zou

  • AppATP : An Energy Conserving Adaptive Mobile-Cloud Transmission Protocol

    Fangming Liu;Peng Shu;John C.S. Lui

Frequent Co-Authors

Hai Jin
Hai Jin Huazhong University of Science and Technology
Baochun Li
Baochun Li University of Toronto
John C. S. Lui
John C. S. Lui Chinese University of Hong Kong
Hong Xu
Hong Xu City University of Hong Kong
Jiangchuan Liu
Jiangchuan Liu Simon Fraser University
Zongpeng Li
Zongpeng Li Tsinghua University
Dan Wang
Dan Wang Hong Kong Polytechnic University
Hongbo Jiang
Hongbo Jiang Hunan University
Shaolei Ren
Shaolei Ren University of California, Riverside
Kui Wu
Kui Wu University of Victoria

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