World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
55
Citations
14545
World Ranking
2146
National Ranking
71

Ming Ding publication distribution in Electronics and Electrical Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Electronics and Electrical Engineering in 2026. The highlighted bar marks where Ming Ding sits on this spectrum.

34–53 publications: 24 scientists 54–73 publications: 52 scientists 74–93 publications: 114 scientists 94–113 publications: 203 scientists 114–133 publications: 269 scientists 134–153 publications: 355 scientists 154–173 publications: 403 scientists 174–193 publications: 445 scientists 194–213 publications: 430 scientists 214–233 publications: 431 scientists 234–253 publications: 399 scientists 254–273 publications: 366 scientists 274–293 publications: 335 scientists 294–313 publications: 300 scientists 314–333 publications: 276 scientists 334–353 publications: 250 scientists 354–373 publications: 214 scientists 374–393 publications: 187 scientists 394–413 publications: 152 scientists 414–433 publications: 169 scientists 434–453 publications: 147 scientists 454–473 publications: 111 scientists 474–493 publications: 117 scientists 494–513 publications: 103 scientists 514–533 publications: 99 scientists 534–553 publications: 92 scientists 554–573 publications: 75 scientists 574–593 publications: 58 scientists 594–613 publications: 69 scientists 614–633 publications: 50 scientists 634–653 publications: 62 scientists 654–673 publications: 54 scientists 674–693 publications: 44 scientists 694–713 publications: 37 scientists 714–733 publications: 28 scientists 734–753 publications: 26 scientists 754–773 publications: 26 scientists 774–793 publications: 19 scientists 794–813 publications: 23 scientists 814–833 publications: 20 scientists 834–853 publications: 16 scientists 854–873 publications: 20 scientists 874–893 publications: 11 scientists 894–913 publications: 11 scientists 914–933 publications: 16 scientists 934–953 publications: 13 scientists 954–973 publications: 10 scientists 974–993 publications: 11 scientists 994–1,013 publications: 9 scientists 1,014–1,033 publications: 9 scientists 1,034–1,053 publications: 10 scientists 1,054–1,064 publications: 6 scientists 1,065+ publications: 99 scientists
34 publications 1,065+

This scientist: 305 publications — 58th percentile

58% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,065 publications or more.

Ming Ding D-index placement in Electronics and Electrical Engineering in 2026

The chart shows the D-index (discipline H-index) distribution of Electronics and Electrical Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Ming Ding sits on this spectrum.

30 D-Index: 178 scientists 31 D-Index: 257 scientists 32 D-Index: 263 scientists 33 D-Index: 262 scientists 34 D-Index: 244 scientists 35 D-Index: 236 scientists 36 D-Index: 211 scientists 37 D-Index: 220 scientists 38 D-Index: 214 scientists 39 D-Index: 214 scientists 40 D-Index: 205 scientists 41 D-Index: 187 scientists 42 D-Index: 194 scientists 43 D-Index: 201 scientists 44 D-Index: 155 scientists 45 D-Index: 189 scientists 46 D-Index: 148 scientists 47 D-Index: 160 scientists 48 D-Index: 134 scientists 49 D-Index: 130 scientists 50 D-Index: 141 scientists 51 D-Index: 156 scientists 52 D-Index: 108 scientists 53 D-Index: 130 scientists 54 D-Index: 112 scientists 55 D-Index: 97 scientists 56 D-Index: 111 scientists 57 D-Index: 102 scientists 58 D-Index: 108 scientists 59 D-Index: 120 scientists 60 D-Index: 103 scientists 61 D-Index: 93 scientists 62 D-Index: 92 scientists 63 D-Index: 74 scientists 64 D-Index: 77 scientists 65 D-Index: 73 scientists 66 D-Index: 64 scientists 67 D-Index: 69 scientists 68 D-Index: 60 scientists 69 D-Index: 39 scientists 70 D-Index: 57 scientists 71 D-Index: 59 scientists 72 D-Index: 46 scientists 73 D-Index: 49 scientists 74 D-Index: 38 scientists 75 D-Index: 35 scientists 76 D-Index: 32 scientists 77 D-Index: 35 scientists 78 D-Index: 31 scientists 79 D-Index: 22 scientists 80 D-Index: 34 scientists 81 D-Index: 31 scientists 82 D-Index: 34 scientists 83 D-Index: 23 scientists 84 D-Index: 18 scientists 85 D-Index: 30 scientists 86 D-Index: 19 scientists 87 D-Index: 19 scientists 88 D-Index: 20 scientists 89 D-Index: 8 scientists 90 D-Index: 17 scientists 91 D-Index: 7 scientists 92 D-Index: 14 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 12 scientists 97 D-Index: 10 scientists 98 D-Index: 10 scientists 99 D-Index: 12 scientists 100 D-Index: 16 scientists 101 D-Index: 5 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 8 scientists 105 D-Index: 9 scientists 106 D-Index: 13 scientists 107 D-Index: 4 scientists 108 D-Index: 5 scientists 109 D-Index: 10 scientists 110 D-Index: 8 scientists 111+ D-Index: 96 scientists
30 D-Index 111+

This scientist: 55 D-Index — 69th percentile

69% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 111 D-Index or more.

Overview

Ming Ding is affiliated with the Commonwealth Scientific and Industrial Research Organisation in Australia. Their work spans a broad range of topics primarily situated within computer science and engineering.

Their research contributions are notably concentrated in the subfields of artificial intelligence, electrical and electronic engineering, computer networks and communications, computer vision and pattern recognition, and aerospace engineering.

The main topics Ming Ding has addressed include:

  • Privacy-Preserving Technologies in Data
  • Cryptography and Data Security
  • Advanced MIMO Systems Optimization
  • Blockchain Technology Applications and Security
  • IoT and Edge/Fog Computing
  • Cooperative Communication and Network Coding
  • Adversarial Robustness in Machine Learning

Frequent collaborators throughout Ming Ding's career have been:

  • Jun Li
  • Kang Wei
  • H. Vincent Poor
  • Chuan Ma
  • Bo Liu

Ming Ding has published extensively with notable presence in several publication venues. These include:

  • arXiv (Cornell University)
  • IEEE Internet of Things Journal
  • IEEE Transactions on Information Forensics and Security
  • IEEE Transactions on Vehicular Technology
  • IEEE Transactions on Mobile Computing

Among recent publications are:

  • Federated Learning With Differential Privacy: Algorithms and Performance Analysis, 2020, IEEE Transactions on Information Forensics and Security
  • 6G Internet of Things: A Comprehensive Survey, 2021, IEEE Internet of Things Journal
  • Federated Learning for Smart Healthcare: A Survey, 2022, ACM Computing Surveys
  • Blockchain for 5G and beyond networks: A state of the art survey, 2020, Journal of Network and Computer Applications
  • When Machine Learning Meets Privacy, 2021, ACM Computing Surveys

In addition to journal articles, Ming Ding has contributed to book literature, including the publication:

  • Fundamentals of Ultra-Dense Wireless Networks, 2022, Cambridge University Press

Best Publications

  • Federated Learning for Internet of Things: A Comprehensive Survey

    Dinh C. Nguyen;Ming Ding;Pubudu N. Pathirana;Aruna Seneviratne

  • Federated Learning With Differential Privacy: Algorithms and Performance Analysis

    Kang Wei;Jun Li;Ming Ding;Chuan Ma

  • Survey on UAV Cellular Communications: Practical Aspects, Standardization Advancements, Regulation, and Security Challenges

    Azade Fotouhi;Haoran Qiang;Ming Ding;Mahbub Hassan

  • Towards 1 Gbps/UE in Cellular Systems: Understanding Ultra-Dense Small Cell Deployments

    David Lopez-Perez;Ming Ding;Holger Claussen;Amir H. Jafari

  • Blockchain for Secure EHRs Sharing of Mobile Cloud Based E-Health Systems

    Dinh C. Nguyen;Pubudu N. Pathirana;Ming Ding;Aruna Seneviratne

  • Blockchain for 5G and beyond networks: A state of the art survey

    Dinh C. Nguyen;Pubudu N. Pathirana;Ming Ding;Aruna Seneviratne

  • The Impact of Adverse Weather Conditions on Autonomous Vehicles: How Rain, Snow, Fog, and Hail Affect the Performance of a Self-Driving Car

    Shizhe Zang;Ming Ding;David Smith;Paul Tyler

  • When Machine Learning Meets Privacy: A Survey and Outlook

    Bo Liu;Ming Ding;Sina Shaham;Wenny Rahayu

  • Performance Impact of LoS and NLoS Transmissions in Dense Cellular Networks

    Ming Ding;Peng Wang;David Lopez-Perez;Guoqiang Mao

  • On Safeguarding Privacy and Security in the Framework of Federated Learning

    Chuan Ma;Jun Li;Ming Ding;Howard H. Yang

  • Path Planning for UAV-Mounted Mobile Edge Computing With Deep Reinforcement Learning

    Qian Liu;Long Shi;Linlin Sun;Jun Li

  • Privacy-Preserved Task Offloading in Mobile Blockchain With Deep Reinforcement Learning

    Dinh C. Nguyen;Pubudu N. Pathirana;Ming Ding;Aruna Seneviratne

  • Integration of Blockchain and Cloud of Things: Architecture, Applications and Challenges

    Dinh C. Nguyen;Pubudu N. Pathirana;Ming Ding;Aruna Seneviratne

  • Blockchain and AI-Based Solutions to Combat Coronavirus (COVID-19)-Like Epidemics: A Survey

    Dinh C. Nguyen;Ming Ding;Pubudu N. Pathirana;Aruna Seneviratne

  • When Federated Learning Meets Blockchain: A New Distributed Learning Paradigm.

    Chuan Ma;Jun Li;Ming Ding;Long Shi

  • Enabling AI in Future Wireless Networks: A Data Life Cycle Perspective

    Dinh C. Nguyen;Peng Cheng;Ming Ding;David Lopez-Perez

  • BEdgeHealth: A Decentralized Architecture for Edge-Based IoMT Networks Using Blockchain

    Dinh C. Nguyen;Pubudu N. Pathirana;Ming Ding;Aruna Seneviratne

  • Optimal Base Station Antenna Downtilt in Downlink Cellular Networks

    Junnan Yang;Ming Ding;Guoqiang Mao;Zihuai Lin

  • Transmission method, reception method, base station, and user equipment

    チャン,ヤンギュ;Yang-Gyu Chang;リュ,レンマオ;Renmao Liu

  • Enhancing Cellular Communications for UAVs via Intelligent Reflective Surface

    Dong Ma;Ming Ding;Mahbub Hassan

  • Flying Drone Base Stations for Macro Hotspots

    Azade Fotouhi;Ming Ding;Mahbub Hassan

  • Information feedback method and system based on space, time and frequency domain, customer equipment and base station

    Yongming Liang;Renmao Liu;Zhongguang Yan;Ming Ding

Frequent Co-Authors

Zihuai Lin
Zihuai Lin University of Sydney
David Lopez-Perez
David Lopez-Perez Universitat Politècnica de València
Guoqiang Mao
Guoqiang Mao Xidian University
Jun Li
Jun Li Nanjing University of Science and Technology
Mahbub Hassan
Mahbub Hassan University of Sydney
Xiaohu Ge
Xiaohu Ge Huazhong University of Science and Technology
H. Vincent Poor
H. Vincent Poor Princeton University
Pubudu N. Pathirana
Pubudu N. Pathirana Deakin University
Branka Vucetic
Branka Vucetic University of Sydney
Giovanni Geraci
Giovanni Geraci Pompeu Fabra University

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