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D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Engineering and Technology 31 9638 9259 133 128 162 6804

Xiaohua Wu publications per year

The chart shows the history of publications by Xiaohua Wu between 1982 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Xiaohua Wu published across 44 years, from 1982 to 2025, averaging 4 papers a year. Output peaked at 11 publications in 2010. 15 of the 178 publications appeared in the last two years.

No. of publications
2 4 6 8 10
Bar chart. Horizontal axis: year, 1982 to 2025. Vertical axis: number of publications, 0 to 11. Peak 11 publications in 2010. 1982: 1 publication 1983: 0 publications 1984: 0 publications 1985: 0 publications 1986: 0 publications 1987: 0 publications 1988: 0 publications 1989: 1 publication 1990: 0 publications 1991: 0 publications 1992: 1 publication 1993: 3 publications 1994: 2 publications 1995: 6 publications 1996: 3 publications 1997: 6 publications 1998: 6 publications 1999: 3 publications 2000: 4 publications 2001: 2 publications 2002: 3 publications 2003: 2 publications 2004: 4 publications 2005: 6 publications 2006: 4 publications 2007: 2 publications 2008: 3 publications 2009: 8 publications 2010: 11 publications 2011: 7 publications 2012: 5 publications 2013: 9 publications 2014: 4 publications 2015: 9 publications 2016: 5 publications 2017: 6 publications 2018: 4 publications 2019: 4 publications 2020: 4 publications 2021: 10 publications 2022: 9 publications 2023: 6 publications 2024: 9 publications 2025: 6 publications
1982 2025

178 publications in total across all disciplines

View publications per year as a table
Xiaohua Wu: publications per year, 1982 to 2025
Year Publications
1982 1
1983 0
1984 0
1985 0
1986 0
1987 0
1988 0
1989 1
1990 0
1991 0
1992 1
1993 3
1994 2
1995 6
1996 3
1997 6
1998 6
1999 3
2000 4
2001 2
2002 3
2003 2
2004 4
2005 6
2006 4
2007 2
2008 3
2009 8
2010 11
2011 7
2012 5
2013 9
2014 4
2015 9
2016 5
2017 6
2018 4
2019 4
2020 4
2021 10
2022 9
2023 6
2024 9
2025 6
Total 178
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Xiaohua Wu 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 Xiaohua Wu 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, 158–167 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: 162 publications — 32nd percentile

32% 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
158–167 415 162
168–177 407
178–187 421
188–197 378
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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Xiaohua Wu 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 Xiaohua Wu 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, 31 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: 31 D-Index — 2nd percentile

2% 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 31
32 129
33 189
34 200
35 262
36 311
37 312
38 350
39 385
40 348
41 362
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
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Overview

Xiaohua Wu is a researcher affiliated with the University of Geneva in Switzerland. Their work spans multiple fields, notably computer science and engineering, with a strong focus on fluid dynamics and blockchain technologies.

The scientist's principal areas of study include:

  • Computer Science
  • Engineering

Within these domains, Xiaohua Wu specializes in subfields such as:

  • Artificial Intelligence
  • Computational Mechanics
  • Information Systems
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition

The main research topics covered in their publications are:

  • Fluid Dynamics and Turbulent Flows
  • Blockchain Technology Applications and Security
  • Cryptography and Data Security
  • Wind and Air Flow Studies
  • Fluid Dynamics and Vibration Analysis
  • Particle Dynamics in Fluid Flows
  • Privacy-Preserving Technologies in Data

Xiaohua Wu has contributed to a variety of peer-reviewed journals and conference proceedings. Frequent publication venues include:

  • Journal of Fluid Mechanics
  • Peer-to-Peer Networking and Applications
  • Procedia Computer Science
  • Journal of King Saud University - Computer and Information Sciences
  • Future Generation Computer Systems

Notable recent papers authored or co-authored by Xiaohua Wu include:

  • New Insights into Turbulent Spots, 2022, Annual Review of Fluid Mechanics
  • Negative skin friction during transition in a zero-pressure-gradient flat-plate boundary layer and in pipe flows with slip and no-slip boundary conditions, 2020, Journal of Fluid Mechanics
  • Scaling proof-of-authority protocol to improve performance and security, 2022, Peer-to-Peer Networking and Applications

Other related research papers co-authored in related fields are:

  • Sound source and pseudo-sound in the near field of a circular cylinder in subsonic conditions, 2021, Journal of Fluid Mechanics
  • Cooling Effect of Trees with Different Attributes and Layouts on the Surface Heat Island of Urban Street Canyons in Summer, 2023, Atmosphere

Among frequent collaborators are:

  • David E. Rival
  • Jinpeng Chang
  • Tingbo Zhang
  • Jing Wang
  • Zirui Wang

Best Publications

  • Generation of Turbulent Inflow Data for Spatially-Developing Boundary Layer Simulations

    Thomas S. Lund;Xiaohua Wu;Kyle D. Squires

  • Direct numerical simulation of turbulence in a nominally zero-pressure-gradient flat-plate boundary layer

    Xiaohua Wu;Parviz Moin

  • A direct numerical simulation study on the mean velocity characteristics in turbulent pipe flow

    Xiaohua Wu;Parviz Moin

  • Stochastic control of smart home energy management with plug-in electric vehicle battery energy storage and photovoltaic array

    Xiaohua Wu;Xiaosong Hu;Scott Moura;Xiaofeng Yin

  • Inflow Turbulence Generation Methods

    Xiaohua Wu

  • Simulation of boundary layer transition induced by periodically passing wakes

    Xiaohua Wu;Robert G. Jacobs;Julian C. R. Hunt;Paul A. Durbin

  • Stochastic Optimal Energy Management of Smart Home With PEV Energy Storage

    Xiaohua Wu;Xiaosong Hu;Xiaofeng Yin;Scott J. Moura

  • Evidence of longitudinal vortices evolved from distorted wakes in a turbine passage

    Xiaohua Wu;Paul A. Durbin

  • Ultraclean Emission from InAsP Quantum Dots in Defect-Free Wurtzite InP Nanowires

    Dan Dalacu;Khaled Mnaymneh;Jean Lapointe;Xiaohua Wu

  • Optimal integration of a hybrid solar-battery power source into smart home nanogrid with plug-in electric vehicle

    Xiaohua Wu;Xiaosong Hu;Xiaosong Hu;Yanqiong Teng;Shide Qian

  • Transitional and turbulent boundary layer with heat transfer

    Xiaohua Wu;Parviz Moin

  • Multiple Families of Magic-Sized CdSe Nanocrystals with Strong Bandgap Photoluminescence via Noninjection One-Pot Syntheses

    Jianying Ouyang;Md. Badruz Zaman;Fu Jian Yan;Dennis Johnston

  • Transition Beneath Vortical Disturbances

    Paul Durbin;Xiaohua Wu

  • Ge dots and nanostructures grown epitaxially on Si

    J.-M. Baribeau;X. Wu;N. L. Rowell;D. J. Lockwood

  • Gradiently Alloyed ZnxCd1-xS Colloidal Photoluminescent Quantum Dots Synthesized via a Noninjection One-Pot Approach

    Jianying Ouyang;Christopher I. Ratcliffe;David Kingston;Baptiste Wilkinson

  • Selective-area vapour-liquid-solid growth of InP nanowires.

    Dan Dalacu;Alicia Kam;D Guy Austing;Xiaohua Wu

  • Application of a local SGS model based on coherent structures to complex geometries

    H. Kobayashi;H. Kobayashi;F. Ham;X. Wu;X. Wu

  • Noninjection, One-Pot Synthesis of Photoluminescent Colloidal Homogeneously Alloyed CdSeS Quantum Dots

    Jianying Ouyang;Maxime Vincent;David Kingston;Pierre Descours

  • DNS of fully turbulent flow in a LPT passage

    Georgi Kalitzin;Xiaohua Wu;Paul A. Durbin

  • Structural organization of large and very large scales in turbulent pipe flow simulation

    J. R. Baltzer;Ronald Adrian;Xiaohua Wu

  • Direct numerical simulation of a 30R long turbulent pipe flow at R + = 685: Large-and very large-scale motions

    Xiaohua Wu;J. R. Baltzer;Ronald Adrian

  • Transitional–turbulent spots and turbulent–turbulent spots in boundary layers

    Xiaohua Wu;Parviz Moin;James M. Wallace;Jinhie Skarda

  • Optimal battery sizing of smart home via convex programming

    Xiaohua Wu;Xiaosong Hu;Xiaofeng Yin;Caiping Zhang

  • Unstructured LES of Reacting Multiphase Flows in Realistic Gas Turbine Combustors

    Frank Ham;Sourabh Apte;Gianluca Iaccarino;Xiaohua Wu

  • Numerical investigation of the turbulent boundary layer over a bump

    Xiaohua Wu;Kyle D. Squires

  • Prediction and investigation of the turbulent flow over a rotating disk

    Xiaohua Wu;Xiaohua Wu;Kyle D. Squires

  • A framework for coupling Reynolds-averaged with large-eddy simulations for gas turbine applications

    Jorg U Schlüter;X Wu;S Kim;S Shankaran

  • Spectral measurements and mixing correlation in simulated rod bundle subchannels

    X. Wu;A.C. Trupp

  • Experimental study on the unusual turbulence intensity distributions in rod-to-wall gap regions

    X. Wu;A.C. Trupp

  • Lagrangian statistics in turbulent channel flow

    Qunzhen Wang;Kyle D. Squires;Xiaohua Wu

Frequent Co-Authors

Parviz Moin
Parviz Moin Stanford University
David J. Lockwood
David J. Lockwood National Research Council Canada
Ronald J. Adrian
Ronald J. Adrian Arizona State University
Kui Yu
Kui Yu Sichuan University
Kyle D. Squires
Kyle D. Squires Arizona State University
Heinz Pitsch
Heinz Pitsch RWTH Aachen University
Philip J. Poole
Philip J. Poole National Research Council Canada
Jean Lapointe
Jean Lapointe National Research Council Canada
Christopher I. Ratcliffe
Christopher I. Ratcliffe National Research Council Canada
Ye Tao
Ye Tao National Research Council Canada

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