World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
63
Citations
13189
World Ranking
2795
National Ranking
380

Zhaolong Ning 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 Zhaolong Ning 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: 229 publications — 56th percentile

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

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

Zhaolong Ning 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 Zhaolong Ning 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: 63 D-Index — 81st percentile

81% of scientists in this discipline score the same or lower.

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

Overview

Zhaolong Ning is affiliated with Chongqing University of Posts and Telecommunications in China. Their research primarily spans the fields of Computer Science and Engineering, with a notable focus on Computer Networks and Communications, Electrical and Electronic Engineering, Aerospace Engineering, Artificial Intelligence, and Information Systems.

Their scholarly work covers a range of topics including IoT and Edge/Fog Computing, UAV Applications and Optimization, Blockchain Technology Applications and Security, Age of Information Optimization, Privacy-Preserving Technologies in Data, Energy Harvesting in Wireless Networks, and Caching and Content Delivery.

Frequent publication venues for this researcher include:

  • IEEE Transactions on Mobile Computing
  • IEEE Internet of Things Journal
  • IEEE Transactions on Industrial Informatics
  • arXiv (Cornell University)
  • IEEE Journal on Selected Areas in Communications

Collaborations have been established with several co-authors such as Xiaojie Wang, Lei Guo, Song Guo, Shupeng Wang, and Xiping Hu, with the highest number of joint publications being with Xiaojie Wang.

Some recent papers by Zhaolong Ning include:

  • "Mobile Edge Computing Enabled 5G Health Monitoring for Internet of Medical Things: A Decentralized Game Theoretic Approach", 2020, IEEE Journal on Selected Areas in Communications
  • "Intelligent Edge Computing in Internet of Vehicles: A Joint Computation Offloading and Caching Solution", 2020, IEEE Transactions on Intelligent Transportation Systems
  • "Joint Computing and Caching in 5G-Envisioned Internet of Vehicles: A Deep Reinforcement Learning-Based Traffic Control System", 2020, IEEE Transactions on Intelligent Transportation Systems

Other relevant recent publications include works such as "Edge Computing in Industrial Internet of Things: Architecture, Advances and Challenges", 2020, IEEE Communications Surveys & Tutorials, and "Imitation Learning Enabled Task Scheduling for Online Vehicular Edge Computing", 2020, IEEE Transactions on Mobile Computing.

Best Publications

  • Edge Computing in Industrial Internet of Things: Architecture, Advances and Challenges

    Tie Qiu;Jiancheng Chi;Xiaobo Zhou;Zhaolong Ning

  • Energy-Latency Tradeoff for Energy-Aware Offloading in Mobile Edge Computing Networks

    Jiao Zhang;Xiping Hu;Zhaolong Ning;Edith C.-H. Ngai

  • A Cooperative Partial Computation Offloading Scheme for Mobile Edge Computing Enabled Internet of Things

    Zhaolong Ning;Peiran Dong;Xiangjie Kong;Feng Xia

  • Vehicular Fog Computing: Enabling Real-Time Traffic Management for Smart Cities

    Zhaolong Ning;Jun Huang;Xiaojie Wang

  • Offloading in Internet of Vehicles: A Fog-Enabled Real-Time Traffic Management System

    Xiaojie Wang;Zhaolong Ning;Lei Wang

  • Mobile Edge Computing Enabled 5G Health Monitoring for Internet of Medical Things: A Decentralized Game Theoretic Approach

    Zhaolong Ning;Peiran Dong;Xiaojie Wang;Xiping Hu

  • Vehicular Social Networks: Enabling Smart Mobility

    Zhaolong Ning;Feng Xia;Noor Ullah;Xiangjie Kong

  • Intelligent Edge Computing in Internet of Vehicles: A Joint Computation Offloading and Caching Solution

    Zhaolong Ning;Kaiyuan Zhang;Xiaojie Wang;Lei Guo

  • A Cooperative Quality-Aware Service Access System for Social Internet of Vehicles

    Zhaolong Ning;Xiping Hu;Zhikui Chen;MengChu Zhou

  • Deep Reinforcement Learning for Vehicular Edge Computing: An Intelligent Offloading System

    Zhaolong Ning;Peiran Dong;Xiaojie Wang;Joel J. P. C. Rodrigues

  • Mobile Edge Computing-Enabled Internet of Vehicles: Toward Energy-Efficient Scheduling

    Zhaolong Ning;Jun Huang;Xiaojie Wang;Joel J. P. C. Rodrigues

  • Joint Computing and Caching in 5G-Envisioned Internet of Vehicles: A Deep Reinforcement Learning-Based Traffic Control System

    Zhaolong Ning;Kaiyuan Zhang;Xiaojie Wang;Mohammad S. Obaidat

  • Imitation Learning Enabled Task Scheduling for Online Vehicular Edge Computing

    Xiaojie Wang;Zhaolong Ning;Song Guo;Lei Wang

  • Wireless Power Transfer and Energy Harvesting: Current Status and Future Prospects

    Jun Huang;Yide Zhou;Zhaolong Ning;Hamid Gharavi

  • Dynamic Computation Offloading and Server Deployment for UAV-Enabled Multi-Access Edge Computing

    Zhaolong Ning;Yuxuan Yang;Xiaojie Wang;Lei Guo

  • Partial Computation Offloading and Adaptive Task Scheduling for 5G-enabled Vehicular Networks

    Zhaolong Ning;Peiran Dong;Xiaojie Wang;Xiping Hu

  • Wireless Powered Mobile Edge Computing Networks: A Survey

    Unknown

  • Green and Sustainable Cloud of Things: Enabling Collaborative Edge Computing

    Zhaolong Ning;Xiangjie Kong;Feng Xia;Weigang Hou

  • Deep Reinforcement Learning for Intelligent Internet of Vehicles: An Energy-Efficient Computational Offloading Scheme

    Zhaolong Ning;Peiran Dong;Xiaojie Wang;Lei Guo

  • Privacy-Preserving Content Dissemination for Vehicular Social Networks: Challenges and Solutions

    Xiaojie Wang;Zhaolong Ning;MengChu Zhou;Xiping Hu

  • Blockchain-enabled Intelligent Transportation Systems: A Distributed Crowdsensing Framework

    Zhaolong Ning;Shouming Sun;Xiaojie Wang;Lei Guo

  • A City-Wide Real-Time Traffic Management System: Enabling Crowdsensing in Social Internet of Vehicles

    Xiaojie Wang;Zhaolong Ning;Xiping Hu;Edith C.-H. Ngai

  • Mobility Dataset Generation for Vehicular Social Networks Based on Floating Car Data

    Xiangjie Kong;Feng Xia;Zhaolong Ning;Azizur Rahim

  • When Deep Reinforcement Learning Meets 5G-Enabled Vehicular Networks: A Distributed Offloading Framework for Traffic Big Data

    Zhaolong Ning;Ye Li;Peiran Dong;Xiaojie Wang

Frequent Co-Authors

Lei Guo
Lei Guo Beijing University of Posts and Telecommunications
Xiping Hu
Xiping Hu Lanzhou University
Feng Xia
Feng Xia RMIT University
Bin Hu
Bin Hu Lanzhou University
Mohammad S. Obaidat
Mohammad S. Obaidat University of Jordan
Xiangjie Kong
Xiangjie Kong Zhejiang University of Technology
Joel J. P. C. Rodrigues
Joel J. P. C. Rodrigues Federal University of Piauí
Amr Tolba
Amr Tolba King Saud University
Jun Cheng
Jun Cheng University of Chinese Academy of Sciences
Song Guo
Song Guo Hong Kong University of Science and Technology

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 degree options can open up flexible learning opportunities for students pursuing Computer Science in the USA. Many students are now considering quickest cheapest masters degree programs that allow them to advance their education in a cost-effective and timely manner.

Choosing the right path can mean focusing on graduate degrees that are worth it, ensuring that both the time and money invested lead to strong job prospects and career growth. Fields like data science, artificial intelligence, and cybersecurity are among those in high demand.

For those just starting their academic journey, many reputable institutions now offer online associate degree programs in computer science and related fields. These programs can be a great way to build foundational skills before pursuing further education.

Affordability remains a top concern for many students. Researching the cheapest online college can help you find quality education that fits your budget, making a computer science degree more accessible than ever.

Best Scientists Citing Zhaolong Ning

Trending Scientists

Recently Published Articles