World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
56
Citations
10169
World Ranking
4144
National Ranking
558

Weifa Liang 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 Weifa Liang 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: 293 publications — 72nd percentile

72% of scientists in this discipline score the same or lower.

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

Weifa Liang 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 Weifa Liang 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: 56 D-Index — 72nd percentile

72% of scientists in this discipline score the same or lower.

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

Overview

Weifa Liang is affiliated with the City University of Hong Kong in China and conducts research primarily in the fields of Computer Science and Engineering.

Their work focuses extensively on several subfields, including:

  • Computer Networks and Communications
  • Electrical and Electronic Engineering
  • Aerospace Engineering
  • Information Systems
  • Artificial Intelligence

Main topics within their research encompass:

  • IoT and Edge/Fog Computing
  • Software-Defined Networks and 5G
  • Age of Information Optimization
  • Caching and Content Delivery
  • UAV Applications and Optimization
  • IoT Networks and Protocols
  • Cloud Computing and Resource Management

Weifa Liang has published extensively, with notable recent papers including:

  • "Mobility-Aware and Delay-Sensitive Service Provisioning in Mobile Edge-Cloud Networks" (2020) in IEEE Transactions on Mobile Computing
  • "Data Collection Maximization in IoT-Sensor Networks via an Energy-Constrained UAV" (2021) in IEEE Transactions on Mobile Computing
  • "Energy-Aware Inference Offloading for DNN-Driven Applications in Mobile Edge Clouds" (2020) in IEEE Transactions on Parallel and Distributed Systems
  • "Minimizing the Maximum Charging Delay of Multiple Mobile Chargers Under the Multi-Node Energy Charging Scheme" (2020) in IEEE Transactions on Mobile Computing
  • "Throughput Maximization of Delay-Aware DNN Inference in Edge Computing by Exploring DNN Model Partitioning and Inference Parallelism" (2021) in IEEE Transactions on Mobile Computing

Their frequent coauthors include:

  • Zichuan Xu
  • Wenzheng Xu
  • Xiaohua Jia
  • Jing Li
  • Qiufen Xia

The key publication venues where Weifa Liang frequently contributes are:

  • IEEE Transactions on Mobile Computing
  • IEEE/ACM Transactions on Networking
  • IEEE Transactions on Parallel and Distributed Systems
  • IEEE Transactions on Computers
  • IEEE Transactions on Services Computing

Best Publications

  • Optimal Cloudlet Placement and User to Cloudlet Allocation in Wireless Metropolitan Area Networks

    Mike Jia;Jiannong Cao;Weifa Liang

  • Constructing minimum-energy broadcast trees in wireless ad hoc networks

    Weifa Liang

  • Efficient Algorithms for Capacitated Cloudlet Placements

    Zichuan Xu;Weifa Liang;Wenzheng Xu;Mike Jia

  • Prolonging Network Lifetime via a Controlled Mobile Sink in Wireless Sensor Networks

    Weifa Liang;Jun Luo;Xu Xu

  • Online Data Gathering for Maximizing Network Lifetime in Sensor Networks

    Weifa Liang;Yuzhen Liu

  • Cloudlet load balancing in wireless metropolitan area networks

    Mike Jia;Weifa Liang;Zichuan Xu;Meitian Huang

  • Capacity of Cooperative Vehicular Networks with Infrastructure Support: Multiuser Case

    Jieqiong Chen;Guoqiang Mao;Changle Li;Weifa Liang

  • Charging Utility Maximization in Wireless Rechargeable Sensor Networks by Charging Multiple Sensors Simultaneously

    Yu Ma;Weifa Liang;Wenzheng Xu

  • Efficiently computing k-edge connected components via graph decomposition

    Lijun Chang;Jeffrey Xu Yu;Lu Qin;Xuemin Lin

  • Finding maximal k-edge-connected subgraphs from a large graph

    Rui Zhou;Chengfei Liu;Jeffrey Xu Yu;Weifa Liang

  • Maximizing Sensor Lifetime with the Minimal Service Cost of a Mobile Charger in Wireless Sensor Networks

    Wenzheng Xu;Weifa Liang;Xiaohua Jia;Zichuan Xu

  • Approximation Algorithms for Charging Reward Maximization in Rechargeable Sensor Networks via a Mobile Charger

    Weifa Liang;Zichuan Xu;Wenzheng Xu;Jiugen Shi

  • Maintaining Large-Scale Rechargeable Sensor Networks Perpetually via Multiple Mobile Charging Vehicles

    Weifa Liang;Wenzheng Xu;Xiaojiang Ren;Xiaohua Jia

  • A Unified Spatio-Temporal Model for Short-Term Traffic Flow Prediction

    Peibo Duan;Guoqiang Mao;Weifa Liang;Degan Zhang

  • Pyramid: Enabling Hierarchical Neural Networks with Edge Computing

    Unknown

  • Efficient Scheduling of Multiple Mobile Chargers for Wireless Sensor Networks

    Wenzheng Xu;Weifa Liang;Xiaola Lin;Guoqiang Mao

  • Data Collection Maximization in IoT-Sensor Networks Via an Energy-Constrained UAV

    Yuchen Li;Weifa Liang;Wenzheng Xu;Zichuan Xu

  • Mobility-Aware and Delay-Sensitive Service Provisioning in Mobile Edge-Cloud Networks

    Yu Ma;Weifa Liang;Jing Li;Xiaohua Jia

  • Approximate coverage in wireless sensor networks

    Yuzhen Liu;Weifa Liang

  • Approximate minimum-energy multicasting in wireless ad hoc networks

    Weifa Liang

  • Throughput maximization for online request admissions in mobile cloudlets

    Qiufen Xia;Weifa Liang;Wenzheng Xu

  • Charging utility maximization in wireless rechargeable sensor networks

    Xiaoguo Ye;Weifa Liang

  • Capacity of Cooperative Vehicular Networks with Infrastructure Support: Multi-user Case

    Jieqiong Chen;Guoqiang Mao;Changle Li;Weifa Liang

Frequent Co-Authors

Zichuan Xu
Zichuan Xu Dalian University of Technology
Wenzheng Xu
Wenzheng Xu Sichuan University
Song Guo
Song Guo Hong Kong University of Science and Technology
Jeffrey Xu Yu
Jeffrey Xu Yu Chinese University of Hong Kong
Xiaohua Jia
Xiaohua Jia City University of Hong Kong
Alex Galis
Alex Galis University College London
Guoqiang Mao
Guoqiang Mao Xidian University
Maria E. Orlowska
Maria E. Orlowska Polish-Japanese Institute of Information Technology
Hong Shen
Hong Shen Sun Yat-sen University
Yinlong Xu
Yinlong Xu University of Science and Technology of China

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 computer science study in the USA opens up various online degree options and career advancement pathways. Many students are now considering the flexibility and affordability of online programs in related disciplines. For those interested in foundational sciences, enrolling in an online physics bachelor's degree can provide a strong analytical and problem-solving background useful in technology roles.

Specialized programs like the cheapest data science masters in usa cater to the increasing demand for expertise in data analysis and big data, while remaining budget-friendly for international and domestic students alike. For those focusing on technical and hands-on fields, consider exploring online electrical engineering courses USA, which can lead to high-demand careers in engineering and technology.

Additionally, short-term certifications that pay well are available in many IT and tech-adjacent disciplines. These certifications offer a flexible, fast-track way to boost your credentials and earning potential. Choosing the right mix of online degrees and certifications can help you stand out in a competitive tech job market.

Best Scientists Citing Weifa Liang

Trending Scientists

Recently Published Articles