| Discipline name | D-Index | World Ranking | Current World Ranking | National Ranking | Current National Ranking | Publications | Citations |
|---|---|---|---|---|---|---|---|
| Mechanical and Aerospace Engineering | 36 | 2572 | 2409 | 189 | 172 | 159 | 4325 |
The chart shows the history of publications by Qing Xiao between 1998 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Qing Xiao published across 28 years, from 1998 to 2025, averaging 9.4 papers a year. Output peaked at 37 publications in 2025. 64 of the 264 publications appeared in the last two years.
264 publications in total across all disciplines
| Year | Publications |
|---|---|
| 1998 | 1 |
| 1999 | 0 |
| 2000 | 0 |
| 2001 | 0 |
| 2002 | 3 |
| 2003 | 2 |
| 2004 | 1 |
| 2005 | 2 |
| 2006 | 1 |
| 2007 | 2 |
| 2008 | 2 |
| 2009 | 2 |
| 2010 | 4 |
| 2011 | 6 |
| 2012 | 5 |
| 2013 | 11 |
| 2014 | 12 |
| 2015 | 7 |
| 2016 | 11 |
| 2017 | 17 |
| 2018 | 12 |
| 2019 | 17 |
| 2020 | 21 |
| 2021 | 16 |
| 2022 | 18 |
| 2023 | 27 |
| 2024 | 27 |
| 2025 | 37 |
| Total | 264 |
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 Qing Xiao sits on this spectrum.
This scientist: 159 publications — 29th percentile
29% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 659 publications or more.
| 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 | 159 |
| 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 |
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 Qing Xiao sits on this spectrum.
This scientist: 36 D-Index — 28th percentile
28% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 93 D-Index or more.
| D-Index | Scientists | This scientist |
|---|---|---|
| 30 | 83 | |
| 31 | 113 | |
| 32 | 144 | |
| 33 | 153 | |
| 34 | 189 | |
| 35 | 158 | |
| 36 | 139 | 36 |
| 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 | |
| 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 |
Qing Xiao is affiliated with the University of Strathclyde in the United Kingdom. Their primary research focus lies within the field of Engineering, with a significant emphasis on Computational Mechanics, Ocean Engineering, and Aerospace Engineering. Additional subfields include Control and Systems Engineering as well as Environmental Engineering.
Their scholarly output reflects extensive work in wave and wind energy systems, fluid dynamics, and vibration analysis, as well as biomimetic flight and propulsion mechanisms. Other primary research topics include wind energy research and development, wind and airflow studies, vibration and dynamic analysis, and micro and nano robotics.
Qing Xiao has co-authored numerous papers with a group of frequent collaborators, including Yang Huang, Qinhuo Liu, Saishuai Dai, Qiang Zhu, and Atilla İncecik. This network appears consistent across multiple research projects and publications.
Publication venues frequently featuring Qing Xiao's work include:
Some of their recent papers are:
Qing Xiao;Qiang Zhu
Yuanchuan Liu;Qing Xiao;Atilla Incecik;Christophe Peyrard
Qing Xiao;Wei Liao;Shuchi Yang;Yan Peng
Wendi Liu;Qing Xiao;Fai Cheng
Qing Xiao;Her-Mann Tsai;Feng Liu
Qing Xiao;Her-Mann Tsai;Dimitri Papamoschou
Enhao Wang;Qing Xiao
Ahmed S. Shehata;Ahmed S. Shehata;Qing Xiao;Khalid M. Saqr;Day Alexander
Qing Xiao;Wei Liao
Yuanchuan Liu;Qing Xiao;Atilla Incecik;Christophe Peyrard
Qing Xiao;Wendi Liu;Atilla Incecik
Enrico Anderlini;David I. M. Forehand;Paul Stansell;Qing Xiao
Enhao Wang;Qing Xiao;Atilla Incecik
Enhao Wang;Wanhai Xu;Xifeng Gao;Liqin Liu
Ahmed S. Shehata;Khalid M. Saqr;Qing Xiao;Mohamed F. Shehadeh
Yang Zhou;Qing Xiao;Yuanchuan Liu;Atilla Incecik
Wendi Liu;Qing Xiao;Qiang Zhu
E. Anderlini;D.I.M. Forehand;E. Bannon;Q. Xiao
Yang Zhou;Qing Xiao;Yuanchuan Liu;Atilla Incecik
Lu Wang;Amy Robertson;Jason Jonkman;Yi-Hsiang Yu
Enhao Wang;Qing Xiao;Qiang Zhu;Atilla Incecik
Wendi Liu;Qing Xiao
If you think any of the details on this page are incorrect, let us know.
For students pursuing Mechanical and Aerospace Engineering in the USA, exploring related online degrees can broaden career opportunities. Programs like an accelerated bcba program online offer a focused curriculum for those interested in applied behavior analysis, showcasing how engineering principles can intersect with behavioral sciences in innovative fields.
When considering graduate studies in related areas such as speech-language pathology (SLP), understanding the challenges is crucial. Many wonder is it hard to get into slp grad school, as acceptance rates vary and prerequisites can be demanding. Researching this helps set realistic expectations and informs preparation strategies.
For those seeking more accessible entry points, identifying the easiest slp masters to get into can be beneficial. These programs often have flexible admissions criteria or online formats that accommodate working professionals, providing alternative routes to certification and career advancement.
Cost is also a critical factor. Evaluating online speech pathology school cost enables prospective students to budget effectively and find programs that offer quality education at reasonable tuition fees, balancing investment with potential career growth.
Aarhus University
Royal Holloway University of London
Newcastle University
Taipei Veterans General Hospital
Aix-Marseille University
Environment and Climate Change Canada
Hokkaido University
National Center for Atmospheric Research
Bangor University
Novartis (Switzerland)
University of York
Cornell University
National Physical Laboratory
Pacific Northwest National Laboratory
Razi University
University of Messina
