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D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Mechanical and Aerospace Engineering 39 2198 2045 265 265 163 4220

Kam Tim Tse publications per year

The chart shows the history of publications by Kam Tim Tse between 2002 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Kam Tim Tse published across 24 years, from 2002 to 2025, averaging 9 papers a year. Output peaked at 37 publications in 2024. 49 of the 215 publications appeared in the last two years.

No. of publications
10 20 30
Bar chart. Horizontal axis: year, 2002 to 2025. Vertical axis: number of publications, 0 to 37. Peak 37 publications in 2024. 2002: 4 publications 2003: 0 publications 2004: 5 publications 2005: 1 publication 2006: 1 publication 2007: 1 publication 2008: 3 publications 2009: 2 publications 2010: 0 publications 2011: 2 publications 2012: 5 publications 2013: 4 publications 2014: 11 publications 2015: 6 publications 2016: 14 publications 2017: 16 publications 2018: 6 publications 2019: 9 publications 2020: 8 publications 2021: 24 publications 2022: 21 publications 2023: 23 publications 2024: 37 publications 2025: 12 publications
2002 2025

215 publications in total across all disciplines

View publications per year as a table
Kam Tim Tse: publications per year, 2002 to 2025
Year Publications
2002 4
2003 0
2004 5
2005 1
2006 1
2007 1
2008 3
2009 2
2010 0
2011 2
2012 5
2013 4
2014 11
2015 6
2016 14
2017 16
2018 6
2019 9
2020 8
2021 24
2022 21
2023 23
2024 37
2025 12
Total 215
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Kam Tim Tse 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 Kam Tim Tse sits on this spectrum.

No. of scientists
50 100 150
Bar chart with 63 bars. Horizontal axis: publications, 47–56 to 659+. Vertical axis: number of scientists, 0 to 155. Most scientists, 155, have 147–156 publications. The last bar groups every scientist with 659 publications or more. The highlighted bar, 157–166 publications, is where this scientist sits. 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
47–56 publications 659+

This scientist: 163 publications — 30th percentile

30% of scientists in this discipline score the same or lower.

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

View publications distribution as a table
Number of Mechanical and Aerospace Engineering scientists by publication count, Research.com 2026 ranking edition. Based on 3,445 ranked scientists.
Publications Scientists This scientist
47–56 10
57–66 23
67–76 32
77–86 62
87–96 67
97–106 91
107–116 113
117–126 115
127–136 130
137–146 140
147–156 155
157–166 132 163
167–176 133
177–186 130
187–196 140
197–206 115
207–216 125
217–226 117
227–236 99
237–246 92
247–256 100
257–266 95
267–276 88
277–286 77
287–296 74
297–306 74
307–316 62
317–326 70
327–336 59
337–346 58
347–356 45
357–366 44
367–376 36
377–386 41
387–396 32
397–406 23
407–416 28
417–426 27
427–436 25
437–446 23
447–456 23
457–466 20
467–476 12
477–486 24
487–496 18
497–506 12
507–516 13
517–526 21
527–536 12
537–546 8
547–556 16
557–566 3
567–576 11
577–586 6
587–596 5
597–606 6
607–616 7
617–626 7
627–636 10
637–646 4
647–656 3
657–658 2
659+ 100
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Kam Tim Tse 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 Kam Tim Tse sits on this spectrum.

No. of scientists
50 100 150
Bar chart with 64 bars. Horizontal axis: D-Index, 30 to 93+. Vertical axis: number of scientists, 0 to 189. Most scientists, 189, have 34 D-Index. The last bar groups every scientist with 93 D-Index or more. The highlighted bar, 39 D-Index, is where this scientist sits. 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: 39 D-Index — 40th percentile

40% of scientists in this discipline score the same or lower.

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

View D-Index distribution as a table
Number of Mechanical and Aerospace Engineering scientists by D-index, Research.com 2026 ranking edition. Based on 3,445 ranked scientists.
D-Index Scientists This scientist
30 83
31 113
32 144
33 153
34 189
35 158
36 139
37 127
38 130
39 126 39
40 104
41 100
42 107
43 101
44 103
45 79
46 88
47 70
48 83
49 44
50 64
51 56
52 50
53 48
54 58
55 52
56 48
57 42
58 34
59 42
60 37
61 42
62 44
63 22
64 33
65 29
66 23
67 29
68 24
69 19
70 34
71 26
72 19
73 18
74 19
75 14
76 19
77 8
78 18
79 16
80 12
81 17
82 11
83 16
84 7
85 9
86 8
87 6
88 6
89 7
90 10
91 4
92 4
93+ 100
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Overview

Kam Tim Tse is affiliated with the Hong Kong University of Science and Technology in China. Their research spans multiple fields within engineering and environmental science, with a particular focus on computational and environmental engineering disciplines.

The main fields of study for Kam Tim Tse include:

  • Engineering
  • Environmental Science

Within these fields, their work is concentrated in several subfields:

  • Computational Mechanics
  • Environmental Engineering
  • Aerospace Engineering
  • Civil and Structural Engineering
  • Statistical and Nonlinear Physics

Their research covers a range of topics including:

  • Wind and Air Flow Studies
  • Fluid Dynamics and Vibration Analysis
  • Aerodynamics and Fluid Dynamics Research
  • Fluid Dynamics and Turbulent Flows
  • Model Reduction and Neural Networks
  • Building Energy and Comfort Optimization
  • Vibration and Dynamic Analysis

Kam Tim Tse has contributed to several recent papers published in notable journals. Selected examples include:

  • "Simulation optimisation towards energy efficient green buildings: Current status and future trends", 2020, Journal of Cleaner Production
  • "Deep learning-based investigation of wind pressures on tall building under interference effects", 2020, Journal of Wind Engineering and Industrial Aerodynamics
  • "CFD simulation of natural ventilation of a generic building in various incident wind directions: Comparison of turbulence modelling, evaluation methods, and ventilation mechanisms", 2020, Energy and Buildings
  • "Explainable Machine Learning (XML) to predict external wind pressure of a low-rise building in urban-like settings", 2022, Journal of Wind Engineering and Industrial Aerodynamics
  • "Dynamic Mode Decomposition on pressure flow field analysis: Flow field reconstruction, accuracy, and practical significance", 2020, Journal of Wind Engineering and Industrial Aerodynamics

Frequent co-authors collaborating with Kam Tim Tse include:

  • Cruz Y. Li
  • Zengshun Chen
  • Yunfei Fu
  • Gang Hu
  • Lei Zhou

Kam Tim Tse has a significant presence in several publication venues, reflecting the focus of their research areas. These venues include:

  • Physics of Fluids
  • Journal of Wind Engineering and Industrial Aerodynamics
  • Building and Environment
  • SSRN Electronic Journal
  • Ocean Engineering

Best Publications

  • Investigation into the differences among several outdoor thermal comfort indices against field survey in subtropics

    Zhaosong Fang;Xiwen Feng;Jianlin Liu;Zhang Lin

  • A new method to assess spatial variations of outdoor thermal comfort: Onsite monitoring results and implications for precinct planning

    Jianlei Niu;Jianlei Niu;Jianlin Liu;Tsz cheung Lee;Zhang Lin

  • Experimental investigation on the efficiency of circular cylinder-based wind energy harvester with different rod-shaped attachments

    Gang Hu;Kam Tim Tse;Minghai Wei;Rashid Naseer

  • Simulation optimisation towards energy efficient green buildings: Current status and future trends

    Vincent J.L. Gan;Irene M.C. Lo;Jun Ma;K.T. Tse

  • Investigation into sensitivities of factors in outdoor thermal comfort indices

    Zhaosong Fang;Zhaosong Fang;Zhang Lin;Cheuk Ming Mak;Jianlei Niu;Jianlei Niu

  • Economic perspectives of aerodynamic treatments of square tall buildings

    Kam-Tim Tse;Peter A Hitchcock;Kenny C. S Kwok;Sukit Thepmongkorn

  • Aerodynamic Modification to a Circular Cylinder to Enhance the Piezoelectric Wind Energy Harvesting

    Gang Hu;Kam Tim Tse;Kenny Chung Sau Kwok;Jie Song

  • New criteria for assessing low wind environment at pedestrian level in Hong Kong

    Yaxing Du;Cheuk Ming Mak;Kenny Kwok;Kam Tim Tse

  • Parametric modelling and evolutionary optimization for cost-optimal and low-carbon design of high-rise reinforced concrete buildings

    Vincent J. L. Gan;C. L. Wong;Kam Tim Tse;Jack C. P. Cheng

  • CFD simulation of natural ventilation of a generic building in various incident wind directions: Comparison of turbulence modelling, evaluation methods, and ventilation mechanisms

    Xuelin Zhang;Asiri Umenga Weerasuriya;Asiri Umenga Weerasuriya;Kam Tim Tse

  • Performance of a circular cylinder piezoelectric wind energy harvester fitted with a splitter plate

    Jie Song;Gang Hu;K. T. Tse;S. W. Li

  • Adopting 'lift-up' building design to improve the surrounding pedestrian-level wind environment.

    Kimtim Tse;Xuelin Zhang;Asiri Umenga Weerasuriya;Sunwei Li

  • Shear-Mode Rotary Magnetorheological Damper for Small-Scale Structural Control Experiments

    Tim Tse;C. C. Chang

  • Simulation-based evolutionary optimization for energy-efficient layout plan design of high-rise residential buildings

    Vincent J.L. Gan;H.K. Wong;K.T. Tse;Jack C.P. Cheng

  • Large eddy simulation of flow around an inclined finite square cylinder

    Gang Hu;Kam-Tim Tse;Kenny C. S Kwok;Kenny C. S Kwok;Yu Zhang

  • Cross-ventilation of a generic building with various configurations of external and internal openings

    Xuelin Zhang;A.U. Weerasuriya;Jiayao Wang;Cruz Y. Li

  • Dynamic Mode Decomposition on pressure flow field analysis: Flow field reconstruction, accuracy, and practical significance

    Unknown

  • Wind-induced responses of a tall building with a double-skin façade system

    Gang Hu;Gang Hu;Sina Hassanli;Kenny C. S Kwok;Kam-Tim Tse

  • Higher order dynamic mode decomposition of wind pressures on square buildings

    Lei Zhou;Kam Tim Tse;Gang Hu;Yutong Li

  • Machine learning-based prediction of crosswind vibrations of rectangular cylinders

    Pengfei Lin;Gang Hu;Chao Li;Lixiao Li

  • Enhanced performance of wind energy harvester by aerodynamic treatment of a square prism

    Gang Hu;K. T. Tse;K. C. S. Kwok

  • Pedestrian-Level Wind Environment around Isolated Buildings Under The Influence of Twisted Wind Flows

    K.T. Tse;A.U. Weerasuriya;X. Zhang;S. Li

  • Performance and Cost Evaluation of a Smart Tuned Mass Damper for Suppressing Wind-Induced Lateral-Torsional Motion of Tall Structures

    Kam-Tim Tse;Kenny C. S Kwok;Yukio Tamura

  • New inflow boundary conditions for modeling twisted wind profiles in CFD simulation for evaluating the pedestrian-level wind field near an isolated building.

    Asiri Umenga Weerasuriya;Z. Z. Hu;Xulin Zhang;Kam Tim Tse

  • Wind profile observations in tropical cyclone events using wind-profilers and doppler SODARs

    Kam Tim Tse;Sun Wei Li;P.W. Chan;H.Y. Mok

Frequent Co-Authors

Kenny C. S Kwok
Kenny C. S Kwok University of Sydney
Jianlei Niu
Jianlei Niu Hong Kong Polytechnic University
Yukio Tamura
Yukio Tamura Tokyo Polytechnic University
Pak Wai Chan
Pak Wai Chan Hong Kong Observatory
Jack Chin Pang Cheng
Jack Chin Pang Cheng Hong Kong University of Science and Technology
Irene M.C. Lo
Irene M.C. Lo Hong Kong University of Science and Technology
Cheuk Ming Mak
Cheuk Ming Mak Hong Kong Polytechnic University
Ahsan Kareem
Ahsan Kareem University of Notre Dame
Zhang Lin
Zhang Lin South China University of Technology
Hyo Seon Park
Hyo Seon Park Yonsei University

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