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Chan Ghee Koh

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Engineering and Technology 41 7045 6800 88 86 196 6024

Chan Ghee Koh publications per year

The chart shows the history of publications by Chan Ghee Koh between 1984 and 2021, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Chan Ghee Koh published across 38 years, from 1984 to 2021, averaging 5.2 papers a year. Output peaked at 15 publications in 2015. 11 of the 197 publications appeared in the last two years.

No. of publications
5 10 15
Bar chart. Horizontal axis: year, 1984 to 2021. Vertical axis: number of publications, 0 to 15. Peak 15 publications in 2015. 1984: 3 publications 1985: 0 publications 1986: 0 publications 1987: 0 publications 1988: 1 publication 1989: 6 publications 1990: 4 publications 1991: 7 publications 1992: 0 publications 1993: 2 publications 1994: 4 publications 1995: 7 publications 1996: 0 publications 1997: 3 publications 1998: 0 publications 1999: 3 publications 2000: 1 publication 2001: 4 publications 2002: 6 publications 2003: 10 publications 2004: 3 publications 2005: 3 publications 2006: 5 publications 2007: 9 publications 2008: 7 publications 2009: 9 publications 2010: 7 publications 2011: 5 publications 2012: 8 publications 2013: 7 publications 2014: 8 publications 2015: 15 publications 2016: 11 publications 2017: 14 publications 2018: 6 publications 2019: 8 publications 2020: 7 publications 2021: 4 publications
1984 2021

197 publications in total across all disciplines

View publications per year as a table
Chan Ghee Koh: publications per year, 1984 to 2021
Year Publications
1984 3
1985 0
1986 0
1987 0
1988 1
1989 6
1990 4
1991 7
1992 0
1993 2
1994 4
1995 7
1996 0
1997 3
1998 0
1999 3
2000 1
2001 4
2002 6
2003 10
2004 3
2005 3
2006 5
2007 9
2008 7
2009 9
2010 7
2011 5
2012 8
2013 7
2014 8
2015 15
2016 11
2017 14
2018 6
2019 8
2020 7
2021 4
Total 197
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Chan Ghee Koh publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Chan Ghee Koh sits on this spectrum.

No. of scientists
100 200 300 400
Bar chart with 78 bars. Horizontal axis: publications, 38–47 to 804+. Vertical axis: number of scientists, 0 to 457. Most scientists, 457, have 148–157 publications. The last bar groups every scientist with 804 publications or more. The highlighted bar, 188–197 publications, is where this scientist sits. 38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38–47 publications 804+

This scientist: 196 publications — 46th percentile

46% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

View publications distribution as a table
Number of Engineering and Technology scientists by publication count, Research.com 2026 ranking edition. Based on 9,796 ranked scientists.
Publications Scientists This scientist
38–47 20
48–57 35
58–67 96
68–77 135
78–87 190
88–97 259
98–107 283
108–117 369
118–127 341
128–137 386
138–147 372
148–157 457
158–167 415
168–177 407
178–187 421
188–197 378 196
198–207 403
208–217 317
218–227 346
228–237 321
238–247 260
248–257 280
258–267 240
268–277 214
278–287 242
288–297 203
298–307 166
308–317 154
318–327 175
328–337 159
338–347 99
348–357 131
358–367 106
368–377 118
378–387 97
388–397 108
398–407 82
408–417 71
418–427 64
428–437 55
438–447 54
448–457 60
458–467 47
468–477 40
478–487 30
488–497 29
498–507 38
508–517 40
518–527 32
528–537 23
538–547 28
548–557 23
558–567 19
568–577 16
578–587 17
588–597 18
598–607 22
608–617 15
618–627 9
628–637 11
638–647 21
648–657 12
658–667 9
668–677 11
678–687 9
688–697 6
698–707 14
708–717 7
718–727 8
728–737 10
738–747 9
748–757 5
758–767 5
768–777 11
778–787 7
788–797 2
798–803 4
804+ 100
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Chan Ghee Koh D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Chan Ghee Koh sits on this spectrum.

No. of scientists
100 200 300 400
Bar chart with 78 bars. Horizontal axis: D-Index, 30 to 107+. Vertical axis: number of scientists, 0 to 426. Most scientists, 426, have 42 D-Index. The last bar groups every scientist with 107 D-Index or more. The highlighted bar, 41 D-Index, is where this scientist sits. 30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 41 D-Index — 31st percentile

31% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

View D-Index distribution as a table
Number of Engineering and Technology scientists by D-index, Research.com 2026 ranking edition. Based on 9,796 ranked scientists.
D-Index Scientists This scientist
30 59
31 114
32 129
33 189
34 200
35 262
36 311
37 312
38 350
39 385
40 348
41 362 41
42 426
43 380
44 310
45 341
46 301
47 306
48 271
49 246
50 210
51 253
52 213
53 221
54 195
55 186
56 170
57 167
58 166
59 144
60 152
61 141
62 138
63 131
64 118
65 114
66 119
67 95
68 87
69 77
70 89
71 69
72 54
73 46
74 55
75 54
76 49
77 53
78 46
79 28
80 39
81 36
82 24
83 26
84 36
85 18
86 25
87 19
88 26
89 27
90 23
91 15
92 12
93 9
94 15
95 10
96 13
97 13
98 9
99 7
100 7
101 8
102 7
103 7
104 9
105 6
106 9
107+ 99
Download as CSV

Overview

What is he best known for?

The fields of study he is best known for:

  • Structural engineering
  • Thermodynamics
  • Artificial intelligence

His primary areas of study are Algorithm, System identification, Noise, Structural engineering and Computer simulation. His Algorithm study combines topics from a wide range of disciplines, such as Genetic algorithm and Numerical analysis. In System identification, Chan Ghee Koh works on issues like Degrees of freedom, which are connected to Identification methods, Modal analysis and Modal.

His Structural engineering research includes elements of Elastomer and Natural rubber. His Computer simulation research is multidisciplinary, incorporating perspectives in Plane, Geometry, Computation and Substructure. His work in Identification covers topics such as Structural system which are related to areas like Mathematical optimization.

His most cited work include:

  • Application of fractional derivatives to seismic analysis of base‐isolated models (198 citations)
  • Buckling of a stiff thin film on a compliant substrate in large deformation (188 citations)
  • Estimation of structural parameters in time domain: A substructure approach (171 citations)

What are the main themes of his work throughout his whole career to date?

His scientific interests lie mostly in Structural engineering, System identification, Finite element method, Mechanics and Identification. Chan Ghee Koh focuses mostly in the field of Structural engineering, narrowing it down to topics relating to Numerical analysis and, in certain cases, Geometry. The concepts of his System identification study are interwoven with issues in Time domain, Reduction, Structural system, Structural health monitoring and Algorithm.

His Finite element method research is multidisciplinary, incorporating elements of Velocity potential and Applied mathematics. His Mechanics research includes themes of Vibration and Classical mechanics. His Identification study incorporates themes from Genetic algorithm and Mathematical optimization.

He most often published in these fields:

  • Structural engineering (41.42%)
  • System identification (15.38%)
  • Finite element method (14.20%)

What were the highlights of his more recent work (between 2016-2021)?

  • Structural engineering (41.42%)
  • Drilling riser (4.14%)
  • Finite element method (14.20%)

In recent papers he was focusing on the following fields of study:

Chan Ghee Koh mainly focuses on Structural engineering, Drilling riser, Finite element method, Acoustics and Forensic engineering. His studies in Structural engineering integrate themes in fields like Slip and Time series. His Drilling riser study also includes

  • Offshore drilling and Submersible drilling rig most often made with reference to Marine engineering,
  • Operability and related Envelope, Multi-objective optimization, Genetic algorithm and Drilling.

The various areas that Chan Ghee Koh examines in his Finite element method study include Slip, Deformation, Excavation and Structural material. His Acoustics research focuses on Wavelet and how it connects with Crack closure, Power and Frequency band. His Forensic engineering study which covers Full scale test that intersects with Vibration.

Between 2016 and 2021, his most popular works were:

  • Shared-Memory parallelization of consistent particle method for violent wave impact problems (15 citations)
  • Enhancing static-load-test identification of bridges using dynamic data (12 citations)
  • Fatigue crack sizing in rail steel using crack closure-induced acoustic emission waves (12 citations)

In his most recent research, the most cited papers focused on:

  • Structural engineering
  • Thermodynamics
  • Artificial intelligence

His primary areas of study are Acoustics, Acoustic emission, Fracture mechanics, Wavelet and Finite element method. His Acoustic emission research incorporates elements of Tsallis entropy, Wavelet entropy, Wavelet transform and Noise. As part of one scientific family, Chan Ghee Koh deals mainly with the area of Fracture mechanics, narrowing it down to issues related to the Strain energy, and often Composite material.

His Finite element method research integrates issues from Estimation theory, Normalization and Applied mathematics. Stiffness is a subfield of Structural engineering that Chan Ghee Koh investigates. His Structural engineering study integrates concerns from other disciplines, such as Shear and Monotonic function.

Best Publications

  • Application of fractional derivatives to seismic analysis of base‐isolated models

    Chan Ghee Koh;James M. Kelly

  • Buckling of a stiff thin film on a compliant substrate in large deformation

    J. Song;Hanqing Jiang;Z. J. Liu;D. Y. Khang

  • Estimation of structural parameters in time domain: A substructure approach

    Chan Ghee Koh;Lin Ming See;Thambirajah Balendra

  • Impact tests on steel–concrete–steel sandwich beams with lightweight concrete core

    J.Y. Richard Liew;K.M.A. Sohel;C.G. Koh

  • A simple mechanical model for elastomeric bearings used in base isolation

    Chan Ghee Koh;James M. Kelly

  • Substructural and progressive structural identification methods

    C.G. Koh;B. Hong;C.Y. Liaw

  • A hybrid computational strategy for identification of structural parameters

    C.G. Koh;Y.F. Chen;C.-Y. Liaw

  • Moving element method for train‐track dynamics

    C. G. Koh;J. S. Y. Ong;D. K. H. Chua;J. Feng

  • Modified genetic algorithm strategy for structural identification

    M. J. Perry;C. G. Koh;Y. S. Choo

  • Hydroelastic response of very large floating structure with a flexible line connection

    R.P. Gao;Z.Y. Tay;C.M. Wang;C.G. Koh

  • Plastic Optical Fibre Sensors for Structural Health Monitoring: A Review of Recent Progress

    Kevin Sze Chiang Kuang;Sertong T. Quek;Chan Ghee Koh;Wesley J. Cantwell

  • Modelling of liquid sloshing with constrained floating baffle

    C. G. Koh;M. Luo;M. Gao;W. Bai

  • Substructural Identification Method without Interface Measurement

    C. G Koh;K. Shankar

  • Damage Detection of Buildings: Numerical and Experimental Studies

    Chan Ghee Koh;Lin Ming See;Thambirajah Balendra

  • A new particle method for simulation of incompressible free surface flow problems

    C. G. Koh;M. Gao;C. Luo

  • Identification and Uncertainty Estimation of Structural Parameters

    C. G. Koh;L. M. See

  • PARAMETER IDENTIFICATION OF LARGE STRUCTURAL SYSTEMS IN TIME DOMAIN

    C. G. Koh;B. Hong;C.-Y. Liaw

  • Theoretical and experimental studies on rectangular liquid dampers under arbitrary excitations

    C. G. Koh;S. Mahatma;C. M. Wang

  • Complementary metal oxide silicon integrated circuits incorporating monolithically integrated stretchable wavy interconnects

    Dae Hyeong Kim;Won Mook Choi;Jong Hyun Ahn;Hoon Sik Kim

  • Buckling strength of slender circular tubular steel braces strengthened by CFRP

    X.Y. Gao;X.Y. Gao;T. Balendra;C.G. Koh

  • Structural Identification and Damage Detection Using Genetic Algorithms

    Chan Ghee Koh;Michael J. Perry

Frequent Co-Authors

J.Y. Richard Liew
J.Y. Richard Liew National University of Singapore
Chien Ming Wang
Chien Ming Wang University of Queensland
Ser Tong Quek
Ser Tong Quek National University of Singapore
James M. Kelly
James M. Kelly University of California, Berkeley
Zhuangjian Liu
Zhuangjian Liu Institute of High Performance Computing
David Thambiratnam
David Thambiratnam Queensland University of Technology
Jizhou Song
Jizhou Song Zhejiang University
Yu-Chi Ho
Yu-Chi Ho Harvard University
John A. Rogers
John A. Rogers Northwestern University
Yonggang Huang
Yonggang Huang Northwestern University

External Links

Personal website of Chan Ghee Koh

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Best Scientists Citing Chan Ghee Koh

J.Y. Richard Liew

J.Y. Richard Liew

National University of Singapore

Publications: 36

John A. Rogers

John A. Rogers

Northwestern University

Publications: 35

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Jia-Bao Yan

Tianjin University

Publications: 32

Yonggang Huang

Yonggang Huang

Northwestern University

Publications: 28

Gang-Ding Peng

Gang-Ding Peng

University of New South Wales

Publications: 19

Ka-Veng Yuen

Ka-Veng Yuen

University of Macau

Publications: 19

Roozbeh Ghaffari

Roozbeh Ghaffari

Northwestern University

Publications: 18

Chien Ming Wang

Chien Ming Wang

University of Queensland

Publications: 18

Jizhou Song

Jizhou Song

Zhejiang University

Publications: 17

Dae-Hyeong Kim

Dae-Hyeong Kim

Seoul National University

Publications: 16

Hongping Zhu

Hongping Zhu

Huazhong University of Science and Technology

Publications: 15

Xudong Qian

Xudong Qian

National University of Singapore

Publications: 14

Jinping Ou

Jinping Ou

Harbin Institute of Technology

Publications: 14

Hong Hao

Hong Hao

Curtin University

Publications: 13

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Jun Li

Chinese Academy of Sciences

Publications: 13

Yihui Zhang

Yihui Zhang

Tsinghua University

Publications: 13

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