World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
47
Citations
6781
World Ranking
3286
National Ranking
533

Qingbo He 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 Qingbo He 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: 167 publications — 19th percentile

19% of scientists in this discipline score the same or lower.

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

Qingbo He 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 Qingbo He 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

Qingbo He is affiliated with Shanghai Jiao Tong University in China and has a substantial research portfolio in the field of engineering, with a focus on control and systems engineering as well as mechanical and civil engineering disciplines.

The primary fields of study include:

  • Engineering

Subfields where Qingbo He has contributed significantly are:

  • Control and Systems Engineering
  • Mechanical Engineering
  • Civil and Structural Engineering
  • Electrical and Electronic Engineering
  • Mechanics of Materials

The research topics covered in their work are:

  • Machine Fault Diagnosis Techniques
  • Fault Detection and Control Systems
  • Structural Health Monitoring Techniques
  • Gear and Bearing Dynamics Analysis
  • Acoustic Wave Phenomena Research
  • Speech and Audio Processing
  • Ultrasonics and Acoustic Wave Propagation

Qingbo He has coauthored work with several frequent collaborators, including:

  • Zhike Peng
  • Fengshou Gu
  • Tianxi Jiang
  • Xiaoxi Ding
  • Junchao Guo

The scientist's research has been published commonly in the following venues:

  • IEEE Transactions on Instrumentation and Measurement
  • Mechanical Systems and Signal Processing
  • IEEE Transactions on Industrial Electronics
  • IEEE Transactions on Industrial Informatics
  • Journal of Sound and Vibration

Representative recent papers include:

  • Edge Computing on IoT for Machine Signal Processing and Fault Diagnosis: A Review, 2023, IEEE Internet of Things Journal
  • Rotating machinery fault-induced vibration signal modulation effects: A review with mechanisms, extraction methods and applications for diagnosis, 2023, Mechanical Systems and Signal Processing
  • Effectiveness of PEMFC historical state and operating mode in PEMFC prognosis, 2020, International Journal of Hydrogen Energy
  • Randomized resonant metamaterials for single-sensor identification of elastic vibrations, 2020, Nature Communications
  • Manifold Sensing-Based Convolution Sparse Self-Learning for Defective Bearing Morphological Feature Extraction, 2020, IEEE Transactions on Industrial Informatics

Best Publications

  • Energy-Fluctuated Multiscale Feature Learning With Deep ConvNet for Intelligent Spindle Bearing Fault Diagnosis

    Xiaoxi Ding;Qingbo He

  • A review of stochastic resonance in rotating machine fault detection

    Siliang Lu;Qingbo He;Jun Wang

  • Fault diagnosis of rotating machines based on the EMD manifold

    Jun Wang;Guifu Du;Zhongkui Zhu;Changqing Shen

  • Subspace-based gearbox condition monitoring by kernel principal component analysis

    Qingbo He;Fanrang Kong;Ruqiang Yan

  • Multiscale noise tuning of stochastic resonance for enhanced fault diagnosis in rotating machines

    Qingbo He;Jun Wang;Yongbin Liu;Daoyi Dai

  • Effects of multiscale noise tuning on stochastic resonance for weak signal detection

    Qingbo He;Jun Wang

  • Machine condition monitoring using principal component representations

    Qingbo He;Ruqiang Yan;Fanrang Kong;Ruxu Du

  • Vibration signal classification by wavelet packet energy flow manifold learning

    Qingbo He

  • Effects of underdamped step-varying second-order stochastic resonance for weak signal detection

    Siliang Lu;Qingbo He;Fanrang Kong

  • Stochastic resonance with Woods-Saxon potential for rolling element bearing fault diagnosis

    Siliang Lu;Qingbo He;Fanrang Kong

  • Fault diagnosis of motor bearing with speed fluctuation via angular resampling of transient sound signals

    Siliang Lu;Xiaoxian Wang;Qingbo He;Fang Liu

  • Wayside acoustic diagnosis of defective train bearings based on signal resampling and information enhancement

    Qingbo He;Jun Wang;Fei Hu;Fanrang Kong

  • Adaptive Multiscale Noise Tuning Stochastic Resonance for Health Diagnosis of Rolling Element Bearings

    Jun Wang;Qingbo He;Fanrang Kong

  • Structure damage localization with ultrasonic guided waves based on a time-frequency method

    Daoyi Dai;Qingbo He

  • A fusion feature and its improvement based on locality preserving projections for rolling element bearing fault classification

    Xiaoxi Ding;Qingbo He;Nianwu Luo

  • Time-Frequency Manifold as a Signature for Machine Health Diagnosis

    Qingbo He;Yongbin Liu;Qian Long;Jun Wang

  • Online Fault Diagnosis of Motor Bearing via Stochastic-Resonance-Based Adaptive Filter in an Embedded System

    Siliang Lu;Qingbo He;Tao Yuan;Fanrang Kong

  • Sequential Multiscale Noise Tuning Stochastic Resonance for Train Bearing Fault Diagnosis in an Embedded System

    Siliang Lu;Qingbo He;Fei Hu;Fanrang Kong

  • Bearing fault diagnosis of a permanent magnet synchronous motor via a fast and online order analysis method in an embedded system

    Siliang Lu;Qingbo He;Jiwen Zhao

  • Time–frequency manifold for nonlinear feature extraction in machinery fault diagnosis

    Qingbo He

  • Rotating machine fault diagnosis through enhanced stochastic resonance by full-wave signal construction

    Siliang Lu;Qingbo He;Haibin Zhang;Fanrang Kong

Frequent Co-Authors

Fanrang Kong
Fanrang Kong University of Science and Technology of China
Siliang Lu
Siliang Lu Anhui University
Zhike Peng
Zhike Peng Shanghai Jiao Tong University
Changqing Shen
Changqing Shen Soochow University
Wen-Ming Zhang
Wen-Ming Zhang Shanghai Jiao Tong University
Ruxu Du
Ruxu Du South China University of Technology
Robert X. Gao
Robert X. Gao Case Western Reserve University
Patty S. Freedson
Patty S. Freedson University of Massachusetts Amherst
Ruqiang Yan
Ruqiang Yan Xi'an Jiaotong University
Yimin Shao
Yimin Shao Chongqing University

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