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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 55 894 816 111 111 298 12530

Zhongqing Su publications per year

The chart shows the history of publications by Zhongqing Su between 1999 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Zhongqing Su published across 27 years, from 1999 to 2025, averaging 15.4 papers a year. Output peaked at 36 publications in 2024. 71 of the 415 publications appeared in the last two years.

No. of publications
10 20 30
Bar chart. Horizontal axis: year, 1999 to 2025. Vertical axis: number of publications, 0 to 36. Peak 36 publications in 2024. 1999: 1 publication 2000: 0 publications 2001: 0 publications 2002: 2 publications 2003: 2 publications 2004: 9 publications 2005: 8 publications 2006: 10 publications 2007: 9 publications 2008: 6 publications 2009: 19 publications 2010: 8 publications 2011: 17 publications 2012: 16 publications 2013: 18 publications 2014: 25 publications 2015: 22 publications 2016: 19 publications 2017: 19 publications 2018: 17 publications 2019: 22 publications 2020: 16 publications 2021: 23 publications 2022: 23 publications 2023: 33 publications 2024: 36 publications 2025: 35 publications
1999 2025

415 publications in total across all disciplines

View publications per year as a table
Zhongqing Su: publications per year, 1999 to 2025
Year Publications
1999 1
2000 0
2001 0
2002 2
2003 2
2004 9
2005 8
2006 10
2007 9
2008 6
2009 19
2010 8
2011 17
2012 16
2013 18
2014 25
2015 22
2016 19
2017 19
2018 17
2019 22
2020 16
2021 23
2022 23
2023 33
2024 36
2025 35
Total 415
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Zhongqing Su publications per year - data summary

  • Zhongqing Su, a Mechanical and Aerospace Engineering scholar from Hong Kong Polytechnic University, has 415 publications recorded across 27 years, from 1999 to 2025.
  • The oldest publication on record dates to 1999 and the most recent to 2025.
  • The most productive year is 2024, with 36 publications.
  • The least productive year with any output is 1999, with 1 publication.
  • 2 of the 27 years in the span carry no publications at all (2000 and 2001).
  • The rate of publication averages 15.4 papers per year over the whole span, or 16.6 per year counting only the 25 years with at least one publication.
  • The last 5 years on the chart (2021-2025) hold 150 publications, 36% of the career total.
  • Split into equal eras - 1999-2007: 41 publications (4.6 per year); 2008-2016: 150 publications (16.7 per year); 2017-2025: 224 publications (24.9 per year).
  • Comparing the opening and closing eras, the overall trend of publication is rising.

Zhongqing Su 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 Zhongqing Su 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, 297–306 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: 298 publications — 72nd percentile

72% 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
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 74 298
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
Download as CSV

Zhongqing Su publication distribution in Mechanical and Aerospace Engineering in 2026 - data summary

  • The chart plots the publication count of all 3,445 Mechanical and Aerospace Engineering scientists ranked by Research.com in 2026, grouped into 63 ranges running from 47–56 to 659+ publications.
  • Zhongqing Su, a Mechanical and Aerospace Engineering scholar from Hong Kong Polytechnic University, records 298 publications - the 72nd percentile of the discipline.
  • 72% of ranked Mechanical and Aerospace Engineering scientists score the same or lower than Zhongqing Su, and about 28% score higher.
  • The median of the discipline falls in the 217–226 publications range, and Zhongqing Su ranks above the median.
  • The most crowded range is 147–156 publications, holding 155 scientists (4% of the field).
  • 46% of the field sits in the lowest quarter of the value range (up to 197–206 publications), so the distribution leans towards the lower end of the scale.
  • The final bar has no upper bound: it groups every scientist with 659 publications or more, 100 scientists in all (3% of the field).

Zhongqing Su 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 Zhongqing Su 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, 55 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: 55 D-Index — 75th percentile

75% 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
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 55
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
Download as CSV

Zhongqing Su D-index placement in Mechanical and Aerospace Engineering in 2026 - data summary

  • The chart plots the discipline H-index (D-index) of all 3,445 Mechanical and Aerospace Engineering scientists ranked by Research.com in 2026, grouped into 64 ranges running from 30 to 93+ D-Index.
  • Zhongqing Su, a Mechanical and Aerospace Engineering scholar from Hong Kong Polytechnic University, records 55 D-Index - the 75th percentile of the discipline.
  • 75% of ranked Mechanical and Aerospace Engineering scientists score the same or lower than Zhongqing Su, and about 25% score higher.
  • The median of the discipline falls in the 43 D-Index range, and Zhongqing Su ranks above the median.
  • The most crowded range is 34 D-Index, holding 189 scientists (5% of the field).
  • 57% of the field sits in the lowest quarter of the value range (up to 45 D-Index), so the distribution is heavily right-skewed and high scores are rare.
  • The final bar has no upper bound: it groups every scientist with 93 D-Index or more, 100 scientists in all (3% of the field).

Overview

Zhongqing Su is affiliated with Hong Kong Polytechnic University in China and has contributed extensively to the field of engineering, with a particular focus on mechanics and materials. Their research spans several subfields including mechanics of materials, atomic and molecular physics and optics, biomedical engineering, civil and structural engineering, and mechanical engineering.

The scientist's primary research areas include ultrasonics and acoustic wave propagation, structural health monitoring techniques, topological materials and phenomena, non-destructive testing techniques, acoustic wave phenomena research, acoustic wave resonator technologies, and thermography and photoacoustic techniques.

Frequent publication venues for Zhongqing Su include:

  • Mechanical Systems and Signal Processing
  • Ultrasonics
  • Journal of Sound and Vibration
  • International Journal of Mechanical Sciences
  • Smart Materials and Structures

Several recent papers authored or co-authored by Zhongqing Su illustrate the scope of their research:

  • "Transient non-Hermitian skin effect," 2022, Nature Communications
  • "Investigation on in-situ sprayed, annealed and corona poled PVDF-TrFE coatings for guided wave-based structural health monitoring: From crystallization to piezoelectricity," 2020, Materials & Design
  • "Ultrasonic detection and characterization of delamination and rich resin in thick composites with waviness," 2020, Composites Science and Technology
  • "Inverse design of photonic and phononic topological insulators: a review," 2022, Nanophotonics
  • "Modelling guided waves in acoustoelastic and complex waveguides: From SAFE theory to an open-source tool," 2023, Ultrasonics

Zhongqing Su collaborates frequently with other researchers in the field, with notable coauthors including Jie Zhu, Yafeng Chen, Kai Wang, Lei Xu, and Yiyin Su.

Best Publications

  • Guided Lamb waves for identification of damage in composite structures: A review

    Zhongqing Su;Lin Ye;Ye Lu

  • Identification of Damage Using Lamb Waves : From Fundamentals to Applications

    Zhongqing Su;Lin Ye

  • Identification of Damage Using Lamb Waves

    Zhongqing Su;Lin Ye

  • Structural damage detection using finite element model updating with evolutionary algorithms: a survey

    Nizar Faisal Alkayem;Maosen Cao;Yufeng Zhang;Mahmoud Bayat

  • Quantitative assessment of through-thickness crack size based on Lamb wave scattering in aluminium plates

    Ye Lu;Lin Ye;Zhongqing Su;Chunhui Yang

  • Functionalized composite structures for new generation airframes: a review

    Lin Ye;Ye Lu;Zhongqing Su;Guang Meng

  • Lamb wave-based quantitative identification of delamination in CF/EP composite structures using artificial neural algorithm

    Zhongqing Su;Lin Ye

  • Acousto-ultrasonics-based fatigue damage characterization: Linear versus nonlinear signal features

    Zhongqing Su;Chao Zhou;Ming Hong;Li Cheng

  • Modeling nonlinearities of ultrasonic waves for fatigue damage characterization: theory, simulation, and experimental validation.

    Ming Hong;Zhongqing Su;Qiang Wang;Li Cheng

  • Crack identification in aluminium plates using Lamb wave signals of a PZT sensor network

    Ye Lu;Lin Ye;Zhongqing Su

  • Some aspects of numerical simulation for Lamb wave propagation in composite laminates

    Chunhui Yang;Lin Ye;Zhongqing Su;Michael Bannister

  • Probabilistic damage identification based on correlation analysis using guided wave signals in aluminum plates

    Dong Wang;Lin Ye;Zhongqing Su;Ye Lu

  • A damage identification technique for CF/EP composite laminates using distributed piezoelectric transducers

    Zhongqing Su;Lin Ye;Xiongzhu Bu;Xiongzhu Bu

  • A built-in active sensor network for health monitoring of composite structures

    Zhongqing Su;Xiaoming Wang;Zhiping Chen;Lin Ye

  • Damage identification for beams in noisy conditions based on Teager energy operator-wavelet transform modal curvature

    Maosen Cao;Maosen Cao;Wei Xu;Wieslaw Ostachowicz;Wieslaw Ostachowicz;Zhongqing Su

  • Probability of the presence of damage estimated from an active sensor network in a composite panel of multiple stiffeners

    Dong Wang;Lin Ye;Lin Ye;Ye Lu;Zhongqing Su

  • Evaluation of fatigue cracks using nonlinearities of acousto-ultrasonic waves acquired by an active sensor network

    Chao Zhou;Chao Zhou;Ming Hong;Zhongqing Su;Qiang Wang;Qiang Wang

  • Selective generation of Lamb wave modes and their propagation characteristics in defective composite laminates

    Zhongqing Su;L. Ye

  • Locating fatigue damage using temporal signal features of nonlinear Lamb waves

    Ming Hong;Ming Hong;Zhongqing Su;Ye Lu;Hoon Sohn

  • Probability-based diagnostic imaging using hybrid features extracted from ultrasonic Lamb wave signals

    Chao Zhou;Zhongqing Su;Li Cheng

  • Lamb Wave Propagation-based Damage Identification for Quasi-isotropic CF/EP Composite Laminates Using Artificial Neural Algorithm: Part II - Implementation and Validation:

    Zhongqing Su;Lin Ye

Frequent Co-Authors

Lin Ye
Lin Ye Southern University of Science and Technology
Li Cheng
Li Cheng Hong Kong Polytechnic University
Maosen Cao
Maosen Cao Hohai University
Limin Zhou
Limin Zhou Southern University of Science and Technology
Wieslaw Ostachowicz
Wieslaw Ostachowicz Polish Academy of Sciences
Lei Qiu
Lei Qiu Nanjing University of Aeronautics and Astronautics
Guang Meng
Guang Meng Shanghai Jiao Tong University
Zhong Zhang
Zhong Zhang National Center for Nanoscience and Technology, China
Xinlin Qing
Xinlin Qing Xiamen University
You-Lin Xu
You-Lin Xu Hong Kong Polytechnic University

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