World's Best Scientists 2026 revealed!

D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
33
Citations
2956
World Ranking
3103
National Ranking
385

Fanrang Kong publication distribution in Mechanical and Aerospace Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Mechanical and Aerospace Engineering in 2026. The highlighted bar marks where Fanrang Kong sits on this spectrum.

47–56 publications: 10 scientists 57–66 publications: 23 scientists 67–76 publications: 32 scientists 77–86 publications: 62 scientists 87–96 publications: 67 scientists 97–106 publications: 91 scientists 107–116 publications: 113 scientists 117–126 publications: 115 scientists 127–136 publications: 130 scientists 137–146 publications: 140 scientists 147–156 publications: 155 scientists 157–166 publications: 132 scientists 167–176 publications: 133 scientists 177–186 publications: 130 scientists 187–196 publications: 140 scientists 197–206 publications: 115 scientists 207–216 publications: 125 scientists 217–226 publications: 117 scientists 227–236 publications: 99 scientists 237–246 publications: 92 scientists 247–256 publications: 100 scientists 257–266 publications: 95 scientists 267–276 publications: 88 scientists 277–286 publications: 77 scientists 287–296 publications: 74 scientists 297–306 publications: 74 scientists 307–316 publications: 62 scientists 317–326 publications: 70 scientists 327–336 publications: 59 scientists 337–346 publications: 58 scientists 347–356 publications: 45 scientists 357–366 publications: 44 scientists 367–376 publications: 36 scientists 377–386 publications: 41 scientists 387–396 publications: 32 scientists 397–406 publications: 23 scientists 407–416 publications: 28 scientists 417–426 publications: 27 scientists 427–436 publications: 25 scientists 437–446 publications: 23 scientists 447–456 publications: 23 scientists 457–466 publications: 20 scientists 467–476 publications: 12 scientists 477–486 publications: 24 scientists 487–496 publications: 18 scientists 497–506 publications: 12 scientists 507–516 publications: 13 scientists 517–526 publications: 21 scientists 527–536 publications: 12 scientists 537–546 publications: 8 scientists 547–556 publications: 16 scientists 557–566 publications: 3 scientists 567–576 publications: 11 scientists 577–586 publications: 6 scientists 587–596 publications: 5 scientists 597–606 publications: 6 scientists 607–616 publications: 7 scientists 617–626 publications: 7 scientists 627–636 publications: 10 scientists 637–646 publications: 4 scientists 647–656 publications: 3 scientists 657–658 publications: 2 scientists 659+ publications: 100 scientists
47 publications 659+

This scientist: 71 publications — 1st percentile

1% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 659 publications or more.

Fanrang Kong D-index placement in Mechanical and Aerospace Engineering in 2026

The chart shows the D-index (discipline H-index) distribution of Mechanical and Aerospace Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Fanrang Kong sits on this spectrum.

30 D-Index: 83 scientists 31 D-Index: 113 scientists 32 D-Index: 144 scientists 33 D-Index: 153 scientists 34 D-Index: 189 scientists 35 D-Index: 158 scientists 36 D-Index: 139 scientists 37 D-Index: 127 scientists 38 D-Index: 130 scientists 39 D-Index: 126 scientists 40 D-Index: 104 scientists 41 D-Index: 100 scientists 42 D-Index: 107 scientists 43 D-Index: 101 scientists 44 D-Index: 103 scientists 45 D-Index: 79 scientists 46 D-Index: 88 scientists 47 D-Index: 70 scientists 48 D-Index: 83 scientists 49 D-Index: 44 scientists 50 D-Index: 64 scientists 51 D-Index: 56 scientists 52 D-Index: 50 scientists 53 D-Index: 48 scientists 54 D-Index: 58 scientists 55 D-Index: 52 scientists 56 D-Index: 48 scientists 57 D-Index: 42 scientists 58 D-Index: 34 scientists 59 D-Index: 42 scientists 60 D-Index: 37 scientists 61 D-Index: 42 scientists 62 D-Index: 44 scientists 63 D-Index: 22 scientists 64 D-Index: 33 scientists 65 D-Index: 29 scientists 66 D-Index: 23 scientists 67 D-Index: 29 scientists 68 D-Index: 24 scientists 69 D-Index: 19 scientists 70 D-Index: 34 scientists 71 D-Index: 26 scientists 72 D-Index: 19 scientists 73 D-Index: 18 scientists 74 D-Index: 19 scientists 75 D-Index: 14 scientists 76 D-Index: 19 scientists 77 D-Index: 8 scientists 78 D-Index: 18 scientists 79 D-Index: 16 scientists 80 D-Index: 12 scientists 81 D-Index: 17 scientists 82 D-Index: 11 scientists 83 D-Index: 16 scientists 84 D-Index: 7 scientists 85 D-Index: 9 scientists 86 D-Index: 8 scientists 87 D-Index: 6 scientists 88 D-Index: 6 scientists 89 D-Index: 7 scientists 90 D-Index: 10 scientists 91 D-Index: 4 scientists 92 D-Index: 4 scientists 93+ D-Index: 100 scientists
30 D-Index 93+

This scientist: 33 D-Index — 14th percentile

14% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 93 D-Index or more.

Best Publications

  • Fault diagnosis of rotating machinery based on the statistical parameters of wavelet packet paving and a generic support vector regressive classifier

    Changqing Shen;Changqing Shen;Dong Wang;Fanrang Kong;Peter W. Tse

  • 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

  • Machine condition monitoring using principal component representations

    Qingbo He;Ruqiang Yan;Fanrang Kong;Ruxu Du

  • 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

  • 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

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

    Siliang Lu;Qingbo He;Tao Yuan;Fanrang Kong

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

    Siliang Lu;Qingbo He;Haibin Zhang;Fanrang Kong

  • Multiscale slope feature extraction for rotating machinery fault diagnosis using wavelet analysis

    Peng Li;Fanrang Kong;Qingbo He;Yongbin Liu

  • Detection of signal transients using independent component analysis and its application in gearbox condition monitoring

    Qingbo He;Zhihua Feng;Fanrang Kong

  • Enhanced Rotating Machine Fault Diagnosis Based on Time-Delayed Feedback Stochastic Resonance

    Siliang Lu;Qingbo He;Haibin Zhang;Fanrang Kong

  • An improved multiscale noise tuning of stochastic resonance for identifying multiple transient faults in rolling element bearings

    Jun Wang;Qingbo He;Fanrang Kong

  • Time-varying singular value decomposition for periodic transient identification in bearing fault diagnosis

    Shangbin Zhang;Siliang Lu;Qingbo He;Fanrang Kong

  • A fast and adaptive varying-scale morphological analysis method for rolling element bearing fault diagnosis

    Changqing Shen;Changqing Shen;Qingbo He;Fanrang Kong;Peter W Tse

  • Adaptive variational mode decomposition based on artificial fish swarm algorithm for fault diagnosis of rolling bearings

    Unknown

  • Bearing fault diagnosis based on an improved morphological filter

    Unknown

  • Doppler effect reduction based on time-domain interpolation resampling for wayside acoustic defective bearing detector system

    Fang Liu;Qingbo He;Fanrang Kong;Yongbin Liu

  • Machine fault signature analysis by midpoint-based empirical mode decomposition

    Qingbo He;Yongbin Liu;Fanrang Kong

Frequent Co-Authors

Qingbo He
Qingbo He Shanghai Jiao Tong University
Siliang Lu
Siliang Lu Anhui University
Changqing Shen
Changqing Shen Soochow University
Fang Liu
Fang Liu Beihang University
Peter W. Tse
Peter W. Tse City University of Hong Kong
Ruxu Du
Ruxu Du South China University of Technology
Ruqiang Yan
Ruqiang Yan Xi'an Jiaotong University
Dong Wang
Dong Wang Shanghai Jiao Tong University
Zhongkui Zhu
Zhongkui Zhu Soochow University

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Related Online Degrees & Career Pathways

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For those considering further specialization, options like the accelerated applied behavior analysis masters online provide efficient pathways to gain expertise in behavior science, useful for system design and safety management.

Finally, it’s important to understand entrance challenges in various graduate programs. Insights on how hard is it to get into speech pathology grad school reveal the competitiveness and prerequisites required, highlighting the importance of preparation when transitioning to interdisciplinary studies.

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