World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
46
Citations
10427
World Ranking
3334
National Ranking
150

Jie Han 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 Jie Han 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: 215 publications — 34th percentile

34% of scientists in this discipline score the same or lower.

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

Jie Han 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 Jie Han 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: 46 D-Index — 52nd percentile

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

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

Overview

Jie Han is affiliated with the University of Alberta in Canada and has a research portfolio primarily rooted in computer science and engineering. Their work spans various subfields including electrical and electronic engineering, computational theory and mathematics, artificial intelligence, computer networks and communications, and molecular biology.

The core areas of Jie Han's research focus on:

  • Low-power high-performance VLSI design
  • Error correcting code techniques
  • Advancements in semiconductor devices and circuit design
  • Numerical methods and algorithms
  • Quantum computing algorithms and architecture
  • Limits and structures in graph theory
  • Advanced graph theory research

They have contributed extensively to scholarly literature, with notable recent papers including:

  • Approximate Arithmetic Circuits: A Survey, Characterization, and Recent Applications, 2020, Proceedings of the IEEE
  • A Survey of Stochastic Computing Neural Networks for Machine Learning Applications, 2020, IEEE Transactions on Neural Networks and Learning Systems
  • An Improved Logarithmic Multiplier for Energy-Efficient Neural Computing, 2020, IEEE Transactions on Computers
  • High Performance CNN Accelerators Based on Hardware and Algorithm Co-Optimization, 2020, IEEE Transactions on Circuits and Systems I Regular Papers
  • Hybrid Partial Product-Based High-Performance Approximate Recursive Multipliers, 2020, IEEE Transactions on Emerging Topics in Computing

Jie Han frequently collaborates with several researchers, including Tingting Zhang, Honglan Jiang, Leibo Liu, Guangjun Xie, and Fabrizio Lombardi.

Their publications are commonly found in well-regarded venues such as:

  • arXiv (Cornell University)
  • IEEE Transactions on Circuits and Systems I Regular Papers
  • IEEE Transactions on Nanotechnology
  • IEEE Transactions on Emerging Topics in Computing
  • IEEE Transactions on Circuits & Systems II Express Briefs

This range of publication venues reflects the interdisciplinary nature of Jie Han's research, spanning theoretical, applied, and emerging areas within computer science and engineering disciplines.

Best Publications

  • Approximate computing: An emerging paradigm for energy-efficient design

    Jie Han;Michael Orshansky

  • Design and Analysis of Approximate Compressors for Multiplication

    Amir Momeni;Jie Han;Paolo Montuschi;Fabrizio Lombardi

  • New Metrics for the Reliability of Approximate and Probabilistic Adders

    Jinghang Liang;Jie Han;F. Lombardi

  • Approximate XOR/XNOR-based adders for inexact computing

    Zhixi Yang;Ajaypat Jain;Jinghang Liang;Jie Han

  • A low-power, high-performance approximate multiplier with configurable partial error recovery

    Cong Liu;Jie Han;Fabrizio Lombardi

  • Design of Approximate Radix-4 Booth Multipliers for Error-Tolerant Computing

    Weiqiang Liu;Liangyu Qian;Chenghua Wang;Honglan Jiang

  • Approximate Arithmetic Circuits: A Survey, Characterization, and Recent Applications

    Honglan Jiang;Francisco Javier Hernandez Santiago;Hai Mo;Leibo Liu

  • A Review, Classification, and Comparative Evaluation of Approximate Arithmetic Circuits

    Honglan Jiang;Cong Liu;Leibo Liu;Fabrizio Lombardi

  • A system architecture solution for unreliable nanoelectronic devices

    Jie Han;P. Jonker

  • Approximate Radix-8 Booth Multipliers for Low-Power and High-Performance Operation

    Honglan Jiang;Jie Han;Fei Qiao;Fabrizio Lombardi

  • Low-Power Approximate Multipliers Using Encoded Partial Products and Approximate Compressors

    Mohammad Saeed Ansari;Honglan Jiang;Bruce F. Cockburn;Jie Han

  • A Comparative Review and Evaluation of Approximate Adders

    Honglan Jiang;Jie Han;Fabrizio Lombardi

  • A Survey of Coarse-Grained Reconfigurable Architecture and Design: Taxonomy, Challenges, and Applications

    Leibo Liu;Jianfeng Zhu;Zhaoshi Li;Yanan Lu

  • Toward hardware-redundant, fault-tolerant logic for nanoelectronics

    Jie Han;J. Gao;P. Jonker;Yan Qi

  • A Survey of Stochastic Computing Neural Networks for Machine Learning Applications

    Yidong Liu;Siting Liu;Yanzhi Wang;Fabrizio Lombardi

  • Reliability evaluation of logic circuits using probabilistic gate models

    Jie Han;Hao Chen;Erin Boykin;José A. B. Fortes

  • A Stochastic Computational Approach for Accurate and Efficient Reliability Evaluation

    Jie Han;Hao Chen;Jinghang Liang;Peican Zhu

  • Design and Evaluation of Multiple Valued Logic Gates Using Pseudo N-Type Carbon Nanotube FETs

    Jinghang Liang;Linbin Chen;Jie Han;Fabrizio Lombardi

  • A defect-?and fault-tolerant architecture for nanocomputers

    Jie Han;Pieter Jonker

  • Approximate compressors for error-resilient multiplier design

    Zhixi Yang;Jie Han;Fabrizio Lombardi

  • A Stochastic Computational Multi-Layer Perceptron with Backward Propagation

    Yidong Liu;Siting Liu;Yanzhi Wang;Fabrizio Lombardi

Frequent Co-Authors

Fabrizio Lombardi
Fabrizio Lombardi Northeastern University
Leibo Liu
Leibo Liu Tsinghua University
Weiqiang Liu
Weiqiang Liu Nanjing University of Aeronautics and Astronautics
Shaojun Wei
Shaojun Wei Tsinghua University
Shouyi Yin
Shouyi Yin Tsinghua University
Yanzhi Wang
Yanzhi Wang Northeastern University
José A. B. Fortes
José A. B. Fortes University of Florida
Weisheng Zhao
Weisheng Zhao Beihang University
Shaahin Angizi
Shaahin Angizi New Jersey Institute of Technology
Deliang Fan
Deliang Fan Johns Hopkins University

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Related Online Degrees & Career Pathways

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Exploring these related pathways not only broadens expertise but also enhances employability in the evolving tech landscape.

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