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D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
30
Citations
3880
World Ranking
3388
National Ranking
79

Seung-Han Yang 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 Seung-Han Yang 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: 202 publications — 45th percentile

45% of scientists in this discipline score the same or lower.

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

Seung-Han Yang 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 Seung-Han Yang 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: 30 D-Index — 2nd percentile

2% of scientists in this discipline score the same or lower.

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

Overview

Seung-Han Yang is affiliated with Kyungpook National University in South Korea. Their research spans the fields of Engineering and Computer Science, with a particular focus on Mechanical Engineering, Signal Processing, Artificial Intelligence, Industrial and Manufacturing Engineering, and Computer Vision and Pattern Recognition.

The scientist's research covers a range of topics including Advanced Measurement and Metrology Techniques, Speech Recognition and Synthesis, Advanced machining processes and optimization, Music and Audio Processing, Speech and Audio Processing, Manufacturing Process and Optimization, and Scientific Measurement and Uncertainty Evaluation.

Seung-Han Yang has contributed to several research papers. Recent publications include:

  • Identification of 11 position-independent geometric errors of a five-axis machine tool using 3D geometric sensitivity analysis, 2021, The International Journal of Advanced Manufacturing Technology
  • QTI Submission to DCASE 2021: residual normalization for device-imbalanced acoustic scene classification with efficient design, 2022, arXiv (Cornell University)
  • Domain Generalization with Relaxed Instance Frequency-wise Normalization for Multi-device Acoustic Scene Classification, 2022, Interspeech 2022
  • Dummy Prototypical Networks for Few-Shot Open-Set Keyword Spotting, 2022, Interspeech 2022
  • Efficient Analysis of CFRP Cutting Force and Chip Formation Based on Cutting Force Models Under Various Cutting Conditions, 2023, International Journal of Precision Engineering and Manufacturing

The publication venues where Seung-Han Yang most frequently publishes include:

  • arXiv (Cornell University)
  • Journal of the Korean Society for Precision Engineering
  • International Journal of Precision Engineering and Manufacturing
  • Interspeech 2022
  • The International Journal of Advanced Manufacturing Technology

Seung-Han Yang has collaborated extensively with researchers such as Kwang-Il Lee, Simyung Chang, Byeonggeun Kim, Sungrack Yun, and Inseop Chung. Collaboration counts indicate repeated co-authorship, highlighting ongoing joint research efforts.

Best Publications

  • A study on roughness of the micro-end-milled surface produced by a miniatured machine tool

    W. Wang;S.H. Kweon;S.H. Yang

  • The improvement of thermal error modeling and compensation on machine tools by CMAC neural network

    S. Yang;J. Yuan;J. Ni

  • Accuracy enhancement of a horizontal machining center by real-time error compensation

    S. Yang;J. Yuan;J. Ni

  • Optimization of electric discharge machining using simulated annealing

    Seung-Han Yang;J. Srinivas;Sekar Mohan;Dong-Mok Lee

  • Measurement and verification of position-independent geometric errors of a five-axis machine tool using a double ball-bar

    Kwang-Il Lee;Seung-Han Yang

  • Accuracy improvement of miniaturized machine tool: Geometric error modeling and compensation

    Jae Ha Lee;Yu Liu;Seung-Han Yang

  • Statistical optimization and assessment of a thermal error model for CNC machine tools

    Jin-Hyeon Lee;Seung-Han Yang

  • Multiple-response optimization for micro-endmilling process using response surface methodology

    U. Natarajan;Pr. Periyanan;S. H. Yang

  • Optimization of multi-pass turning using particle swarm intelligence

    J. Srinivas;R. Giri;Seung-Han Yang

  • Multi-objective optimization of cutting parameters in turning process using differential evolution and non-dominated sorting genetic algorithm-II approaches

    S. H. Yang;U. Natarajan

  • A study on the effect of different vibration-assisted methods in micro-WEDM

    K.T. Hoang;S.H. Yang

  • Robust measurement method and uncertainty analysis for position-independent geometric errors of a rotary axis using a double ball-bar

    Kwang-Il Lee;Seung-Han Yang

  • Parametric modeling and estimation of geometric errors for a rotary axis using double ball-bar.

    Kwang-Il Lee;Dong-Mok Lee;Seung-Han Yang

  • Identification and measurement of geometric errors for a five-axis machine tool with a tilting head using a double ball-bar

    Dong-Mok Lee;Zankun Zhu;Kwang-Il Lee;Seung-Han Yang

  • Error analysis and compensation for the volumetric errors of a vertical machining centre using a hemispherical helix ball bar test

    S.-H. Yang;K.-H. Kim;Y. K. Park;S.-G. Lee

  • Damage identification in composite materials using ultrasonic based Lamb wave method

    B.S. Ben;B.A. Ben;K.A. Vikram;S.H. Yang

  • Measurement of spindle thermal errors in machine tool using hemispherical ball bar test

    Seung-Han Yang;Ki-Hoon Kim;Yong Kuk Park

  • Real-time cutting force induced error compensation on a turning center

    S. Yang;J. Yuan;J. Ni

  • A mathematical approach for analyzing ultra precision positioning system with compliant mechanism

    S.R. Park;S.H. Yang

  • Stability analysis of turning process with tailstock-supported workpiece

    M. Sekar;J. Srinivas;K. Rama Kotaiah;S. H. Yang

  • Thermal error modeling of a horizontal machining center using fuzzy logic strategy

    Jin-Hyeon Lee;Jae-Ha Lee;Seung-Han Yang

  • Prediction of surface roughness in turning operations by computer vision using neural network trained by differential evolution algorithm

    S. H. Yang;U. Natarajan;M. Sekar;S. Palani

  • Compensation of position-independent and position-dependent geometric errors in the rotary axes of five-axis machine tools with a tilting rotary table

    Kwang-Il Lee;Seung-Han Yang

  • Atomic force microscopy-based nano-lithography for nano-patterning: a molecular dynamic study

    Y.S. Kim;K.H. Na;S.O. Choi;S.H. Yang

  • MATHEMATICAL APPROACH AND GENERAL FORMULATION FOR ERROR SYNTHESIS MODELING OF MULTI-AXIS SYSTEM

    Dong-Mok Lee;Seung-Han Yang

  • Error Analysis and Compensation for the Volumetric Errors of a Vertical Machining Center Using Hemispherical Helix Ball Bar Test

    Seung-Han Yang;Ki-Hoon Kim;YongKuk Park

Frequent Co-Authors

Debin Shan
Debin Shan Harbin Institute of Technology

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