World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
47
Citations
10618
World Ranking
3174
National Ranking
1188

Computer Science

D-Index
50
Citations
11211
World Ranking
5574
National Ranking
2545

Gang Qu 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 Gang Qu 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: 279 publications — 52nd percentile

52% of scientists in this discipline score the same or lower.

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

Gang Qu 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 Gang Qu 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: 47 D-Index — 54th percentile

54% of scientists in this discipline score the same or lower.

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

Overview

Gang Qu is a researcher affiliated with the University of Maryland, College Park in the United States. Their work spans multiple areas within computer science and engineering, with a distinct focus on hardware security, computing optimization, and advanced technologies in artificial intelligence and electronics.

The primary fields of study for Gang Qu include Computer Science and Engineering. Their research interests branch into several specialized subfields:

  • Electrical and Electronic Engineering
  • Artificial Intelligence
  • Hardware and Architecture
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

The main topics of Gang Qu's research feature:

  • Physical Unclonable Functions (PUFs) and Hardware Security
  • Security and Verification in Computing
  • Advanced Memory and Neural Computing
  • Advanced Malware Detection Techniques
  • Ferroelectric and Negative Capacitance Devices
  • Parallel Computing and Optimization Techniques
  • Radiation Effects in Electronics

Gang Qu has contributed extensively to scholarly literature, with a significant number of publications in reputable scientific journals and conference proceedings. Frequent venues where their work appears include:

  • arXiv (Cornell University)
  • IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
  • IEEE Transactions on Computers
  • IEEE Transactions on Emerging Topics in Computing
  • IEEE Internet of Things Journal

Some of their recent papers include:

  • "AoI-Minimal Trajectory Planning and Data Collection in UAV-Assisted Wireless Powered IoT Networks", 2020, IEEE Internet of Things Journal
  • "Voltage Over-Scaling-Based Lightweight Authentication for IoT Security", 2021, IEEE Transactions on Computers
  • "Security in Approximate Computing and Approximate Computing for Security: Challenges and Opportunities", 2020, Proceedings of the IEEE
  • "Write+Sync: Software Cache Write Covert Channels Exploiting Memory-Disk Synchronization", 2024, IEEE Transactions on Information Forensics and Security
  • "A novel weight pruning strategy for light weight neural networks with application to the diagnosis of skin disease", 2021, Applied Soft Computing

Gang Qu collaborates frequently with several other researchers, with repeated coauthor partnerships including:

  • Xueyan Wang
  • Yongqiang Lyu
  • Dongsheng Wang
  • Jianlei Yang
  • Xiaotao Jia

Best Publications

  • Exposure in wireless Ad-Hoc sensor networks

    Seapahn Meguerdichian;Farinaz Koushanfar;Gang Qu;Miodrag Potkonjak

  • Power optimization of variable-voltage core-based systems

    I. Hong;D. Kirovski;Gang Qu;M. Potkonjak

  • A Survey on Recent Advances in Vehicular Network Security, Trust, and Privacy

    Zhaojun Lu;Gang Qu;Zhenglin Liu

  • A Privacy-Preserving Trust Model Based on Blockchain for VANETs

    Zhaojun Lu;Wenchao Liu;Qian Wang;Gang Qu

  • Minimal and maximal exposure path algorithms for wireless embedded sensor networks

    Giacomino Veltri;Qingfeng Huang;Gang Qu;Miodrag Potkonjak

  • AoI-Minimal Trajectory Planning and Data Collection in UAV-Assisted Wireless Powered IoT Networks

    Huimin Hu;Ke Xiong;Gang Qu;Qiang Ni

  • Synthesis techniques for low-power hard real-time systems on variable voltage processors

    Inki Hong;Gang Qu;M. Potkonjak;M.B. Srivastavas

  • Exposure in wireless sensor networks: theory and practical solutions

    Seapahn Megerian;Farinaz Koushanfar;Gang Qu;Giacomino Veltri

  • BARS: A Blockchain-Based Anonymous Reputation System for Trust Management in VANETs

    Zhaojun Lu;Qian Wang;Gang Qu;Zhenglin Liu

  • A Blockchain-Based Privacy-Preserving Authentication Scheme for VANETs

    Zhaojun Lu;Qian Wang;Gang Qu;Haichun Zhang

  • A PUF-FSM Binding Scheme for FPGA IP Protection and Pay-Per-Device Licensing

    Jiliang Zhang;Yaping Lin;Yongqiang Lyu;Gang Qu

  • Temperature-aware cooperative ring oscillator PUF

    Chi-En Yin;Gang Qu

  • Effective iterative techniques for fingerprinting design IP

    A.E. Caldwell;Hyun-Jin Choi;A.B. Kahng;S. Mantik

  • Analysis of watermarking techniques for graph coloring problem

    Gang Qu;K. Potkonjak

  • Secure Routing Protocol based on Multi-objective Ant-colony-optimization for wireless sensor networks

    Unknown

  • Hardware metering

    Farinaz Koushanfar;Gang Qu

  • A Survey on Silicon PUFs and Recent Advances in Ring Oscillator PUFs

    Ji-Liang Zhang;Ji-Liang Zhang;Gang Qu;Yong-Qiang Lv;Qiang Zhou

  • LISA: Maximizing RO PUF's secret extraction

    Chi-En Daniel Yin;Gang Qu

  • Function-level power estimation methodology for microprocessors

    Gang Qu;N. Kawabe;K. Usarni;M. Potkonjak

  • A Highly Flexible Ring Oscillator PUF

    Mingze Gao;Khai Lai;Gang Qu

  • Physical Unclonable Function-Based Key Sharing via Machine Learning for IoT Security

    Jiliang Zhang;Gang Qu

  • What is the limit of energy saving by dynamic voltage scaling

    Gang Qu

Frequent Co-Authors

Miodrag Potkonjak
Miodrag Potkonjak University of California, Los Angeles
Shuvra S. Bhattacharyya
Shuvra S. Bhattacharyya University of Maryland, College Park
Farinaz Koushanfar
Farinaz Koushanfar University of California, San Diego
Uzi Vishkin
Uzi Vishkin University of Maryland, College Park
Ahmed Bouridane
Ahmed Bouridane University of Sharjah
Young-Ho Cho
Young-Ho Cho Korea Advanced Institute of Science and Technology
Andrew B. Kahng
Andrew B. Kahng University of California, San Diego
Yehea Ismail
Yehea Ismail American University in Cairo
Weisheng Zhao
Weisheng Zhao Beihang University
Khaled Ben Letaief
Khaled Ben Letaief Hong Kong University of Science and Technology

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Related Online Degrees & Career Pathways

Pursuing a degree in Electronics and Electrical Engineering opens doors to various interdisciplinary fields. For those interested in leading teams and managing technical projects, a bachelor's degree in project management can complement engineering skills, enhancing career prospects in supervisory roles.

Many professionals balance work and study by opting for online degrees for working adults. These programs offer flexible scheduling, making it easier to upskill without pausing your career.

For educators within the engineering sector or those aiming to design technical training content, programs in instructional design provide valuable expertise in curriculum development and training strategies.

Competency matters in technical fields, which is why competency based programs are gaining traction. These pathways focus on demonstrated skills over traditional credit hours, allowing faster progress for those with prior experience or strong proficiency in specific areas.

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