World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
41
Citations
6946
World Ranking
4292
National Ranking
654

Qiang Xu 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 Qiang Xu 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: 236 publications — 40th percentile

40% of scientists in this discipline score the same or lower.

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

Qiang Xu 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 Qiang Xu 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: 41 D-Index — 39th percentile

39% of scientists in this discipline score the same or lower.

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

Overview

Qiang Xu is affiliated with the Chinese University of Hong Kong in China. Their research spans the fields of Computer Science and Engineering, with significant contributions across these domains. The primary subfields of study include Artificial Intelligence, Electrical and Electronic Engineering, and Computer Vision and Pattern Recognition. Additional involvement extends to Materials Chemistry and Biomedical Engineering.

The scientist's work addresses diverse topics such as Human Pose and Action Recognition, Anomaly Detection Techniques and Applications, Diabetic Foot Ulcer Assessment and Management, Advanced oxidation water treatment, Generative Adversarial Networks and Image Synthesis, Adversarial Robustness in Machine Learning, and Time Series Analysis and Forecasting.

Frequent collaborators in Qiang Xu's research include Ailing Zeng, Zhengyuan Shi, Sadaf Khan, Ruiyuan Gao, and Shengxiao Zhang.

They have published extensively in a variety of venues, notably:

  • arXiv (Cornell University)
  • SSRN Electronic Journal
  • Processes
  • Proceedings of the 59th ACM/IEEE Design Automation Conference
  • The Science of The Total Environment

Some of their recent papers include:

  • "Are Transformers Effective for Time Series Forecasting?", 2023, Proceedings of the AAAI Conference on Artificial Intelligence
  • "New opportunities and challenges of natural products research: When target identification meets single-cell multiomics", 2022, Acta Pharmaceutica Sinica B
  • "Are Transformers Effective for Time Series Forecasting?", 2022, arXiv (Cornell University)
  • "Learning Skeletal Graph Neural Networks for Hard 3D Pose Estimation", 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • "The Deep Features and Attention Mechanism-Based Method to Dish Healthcare Under Social IoT Systems: An Empirical Study With a Hand-Deep Local-Global Net", 2021, IEEE Transactions on Computational Social Systems

In addition to journal and conference publications, Qiang Xu has contributed to scholarly books. They authored a book titled Physical Model and Applications of High-Efficiency Electro-Optical Conversion Devices - Volume II, published by Frontiers Media in 2023.

Best Publications

  • Approximate Computing: A Survey

    Qiang Xu;Todd Mytkowicz;Nam Sung Kim

  • VeriTrust: Verification for Hardware Trust

    Jie Zhang;Feng Yuan;Lingxiao Wei;Yannan Liu

  • Trace signal selection for visibility enhancement in post-silicon validation

    Xiao Liu;Qiang Xu

  • On reconfiguration-oriented approximate adder design and its application

    Rong Ye;Ting Wang;Feng Yuan;Rakesh Kumar

  • VeriTrust: verification for hardware trust

    Jie Zhang;Feng Yuan;Lingxiao Wei;Zelong Sun

  • ApproxANN: an approximate computing framework for artificial neural network

    Qian Zhang;Ting Wang;Ye Tian;Feng Yuan

  • DeTrust: Defeating Hardware Trust Verification with Stealthy Implicitly-Triggered Hardware Trojans

    Jie Zhang;Feng Yuan;Qiang Xu

  • On Reusing Test Access Mechanisms for Debug Data Transfer in SoC Post-Silicon Validation

    Xiao Liu;Qiang Xu

  • Lifetime reliability-aware task allocation and scheduling for MPSoC platforms

    Lin Huang;Feng Yuan;Qiang Xu

  • Test architecture design and optimization for three-dimensional SoCs

    Li Jiang;Lin Huang;Qiang Xu

  • On effective TSV repair for 3D-stacked ICs

    Li Jiang;Qiang Xu;Bill Eklow

  • On Topology Reconfiguration for Defect-Tolerant NoC-Based Homogeneous Manycore Systems

    Lei Zhang;Yinhe Han;Qiang Xu;Xiao wei Li

  • Layout-driven test-architecture design and optimization for 3D SoCs under pre-bond test-pin-count constraint

    Li Jiangs;Qiang Xu;Krishnendu Chakrabarty;T. M. Mak

  • ApproxIt: An Approximate Computing Framework for Iterative Methods

    Qian Zhang;Feng Yuan;Rong Ye;Qiang Xu

  • On Code Execution Tracking via Power Side-Channel

    Yannan Liu;Lingxiao Wei;Zhe Zhou;Kehuan Zhang

  • Yield enhancement for 3D-stacked memory by redundancy sharing across dies

    Li Jiang;Rong Ye;Qiang Xu

  • Defect tolerance in homogeneous manycore processors using core-level redundancy with unified topology

    Lei Zhang;Yinhe Han;Qiang Xu;Xiaowei Li

  • Mapping of applications to MPSoCs

    Peter Marwedel;Iuliana Bacivarov;Chanhee Lee;Jurgen Teich

  • On Effective Through-Silicon Via Repair for 3-D-Stacked ICs

    Li Jiang;Qiang Xu;B. Eklow

  • On Task Allocation and Scheduling for Lifetime Extension of Platform-Based MPSoC Designs

    Lin Huang;Feng Yuan;Qiang Xu

  • A multi-core debug platform for NoC-based systems

    Shan Tang;Qiang Xu

Frequent Co-Authors

Nicola Nicolici
Nicola Nicolici McMaster University
Krishnendu Chakrabarty
Krishnendu Chakrabarty Arizona State University
Yu Hu
Yu Hu Institute Of Computing Technology
Nam Sung Kim
Nam Sung Kim University of Illinois at Urbana-Champaign
Philip H. W. Leong
Philip H. W. Leong University of Sydney
Huazhong Yang
Huazhong Yang Tsinghua University
Yuan Xie
Yuan Xie Hong Kong University of Science and Technology
Stephen Lin
Stephen Lin Microsoft Research Asia (China)
Rakesh Kumar
Rakesh Kumar University of Illinois at Urbana-Champaign
Sung Kyu Lim
Sung Kyu Lim Georgia Institute of Technology

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