World's Best Scientists 2026 revealed!
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Xiangyu Wang
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Computer Science
Australia
2025

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 82 978 947 22 22 402 23258

Xiangyu Wang publications per year

The chart shows the history of publications by Xiangyu Wang between 2002 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Xiangyu Wang published across 24 years, from 2002 to 2025, averaging 37.9 papers a year. Output peaked at 113 publications in 2024. 207 of the 909 publications appeared in the last two years.

No. of publications
25 50 75 100
Bar chart. Horizontal axis: year, 2002 to 2025. Vertical axis: number of publications, 0 to 113. Peak 113 publications in 2024. 2002: 1 publication 2003: 1 publication 2004: 3 publications 2005: 6 publications 2006: 6 publications 2007: 13 publications 2008: 22 publications 2009: 25 publications 2010: 10 publications 2011: 26 publications 2012: 31 publications 2013: 26 publications 2014: 45 publications 2015: 30 publications 2016: 50 publications 2017: 54 publications 2018: 55 publications 2019: 32 publications 2020: 23 publications 2021: 33 publications 2022: 103 publications 2023: 107 publications 2024: 113 publications 2025: 94 publications
2002 2025

909 publications in total across all disciplines

View publications per year as a table
Xiangyu Wang: publications per year, 2002 to 2025
Year Publications
2002 1
2003 1
2004 3
2005 6
2006 6
2007 13
2008 22
2009 25
2010 10
2011 26
2012 31
2013 26
2014 45
2015 30
2016 50
2017 54
2018 55
2019 32
2020 23
2021 33
2022 103
2023 107
2024 113
2025 94
Total 909
Download as CSV

Xiangyu Wang publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Xiangyu Wang sits on this spectrum.

No. of scientists
200 400 600
Bar chart with 97 bars. Horizontal axis: publications, 32–41 to 991+. Vertical axis: number of scientists, 0 to 609. Most scientists, 609, have 142–151 publications. The last bar groups every scientist with 991 publications or more. The highlighted bar, 402–411 publications, is where this scientist sits. 32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32–41 publications 991+

This scientist: 402 publications — 87th percentile

87% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

View publications distribution as a table
Number of Computer Science scientists by publication count, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
Publications Scientists This scientist
32–41 7
42–51 22
52–61 82
62–71 134
72–81 249
82–91 324
92–101 421
102–111 420
112–121 497
122–131 544
132–141 555
142–151 609
152–161 559
162–171 534
172–181 556
182–191 583
192–201 519
202–211 508
212–221 490
222–231 437
232–241 423
242–251 408
252–261 377
262–271 301
272–281 335
282–291 320
292–301 293
302–311 250
312–321 238
322–331 206
332–341 209
342–351 208
352–361 162
362–371 176
372–381 127
382–391 158
392–401 128
402–411 104 402
412–421 94
422–431 99
432–441 83
442–451 108
452–461 73
462–471 77
472–481 69
482–491 84
492–501 62
502–511 54
512–521 57
522–531 51
532–541 51
542–551 32
552–561 38
562–571 28
572–581 43
582–591 33
592–601 41
602–611 32
612–621 28
622–631 25
632–641 27
642–651 17
652–661 20
662–671 17
672–681 15
682–691 14
692–701 21
702–711 13
712–721 12
722–731 19
732–741 14
742–751 12
752–761 10
762–771 10
772–781 11
782–791 10
792–801 11
802–811 8
812–821 8
822–831 7
832–841 11
842–851 10
852–861 5
862–871 9
872–881 4
882–891 6
892–901 3
902–911 6
912–921 3
922–931 2
932–941 2
942–951 2
952–961 3
962–971 3
972–981 3
982–990 5
991+ 100
Download as CSV

Xiangyu Wang D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Xiangyu Wang sits on this spectrum.

No. of scientists
200 400 600 800
Bar chart with 52 bars. Horizontal axis: D-Index, 30–31 to 131+. Vertical axis: number of scientists, 0 to 990. Most scientists, 990, have 36–37 D-Index. The last bar groups every scientist with 131 D-Index or more. The highlighted bar, 82–83 D-Index, is where this scientist sits. 30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30–31 D-Index 131+

This scientist: 82 D-Index — 94th percentile

94% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

View D-Index distribution as a table
Number of Computer Science scientists by D-index, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
D-Index Scientists This scientist
30–31 879
32–33 983
34–35 918
36–37 990
38–39 968
40–41 907
42–43 821
44–45 763
46–47 689
48–49 543
50–51 543
52–53 518
54–55 500
56–57 458
58–59 400
60–61 337
62–63 308
64–65 292
66–67 249
68–69 213
70–71 192
72–73 189
74–75 165
76–77 139
78–79 119
80–81 121
82–83 113 82
84–85 88
86–87 87
88–89 75
90–91 69
92–93 57
94–95 46
96–97 38
98–99 34
100–101 36
102–103 27
104–105 37
106–107 18
108–109 31
110–111 19
112–113 16
114–115 12
116–117 20
118–119 15
120–121 5
122–123 20
124–125 8
126–127 5
128–129 7
130 3
131+ 98
Download as CSV

Research.com Recognitions

  • 2025 - Research.com Computer Science in Australia Leader Award
  • 2023 - Research.com Computer Science in Australia Leader Award
  • 2022 - Research.com Computer Science in Australia Leader Award

Overview

Xiangyu Wang is affiliated with Curtin University in Australia and contributes extensively to the field of engineering, with a primary focus on civil and structural engineering among other subfields. Their research portfolio includes a significant number of publications spanning topics related to building and construction, electrical and electronic engineering, mechanical engineering, and biomedical engineering.

Their main fields of study are centered around engineering, with specific subfields represented as:

  • Civil and Structural Engineering
  • Electrical and Electronic Engineering
  • Building and Construction
  • Mechanical Engineering
  • Biomedical Engineering

The topics most frequently addressed in their work include:

  • BIM and Construction Integration
  • Infrastructure Maintenance and Monitoring
  • Innovative concrete reinforcement materials
  • Innovations in Concrete and Construction Materials
  • 3D Surveying and Cultural Heritage
  • Concrete Corrosion and Durability
  • Concrete and Cement Materials Research

Xiangyu Wang has authored several recent papers that reflect their research interests and contributions. These include:

  • "Policy and Management of Carbon Peaking and Carbon Neutrality: A Literature Review" (2022), published in Engineering
  • "Computer Vision Techniques in Construction: A Critical Review" (2020), published in Archives of Computational Methods in Engineering
  • "Literature Review of Digital Twins Applications in Construction Workforce Safety" (2020), published in Applied Sciences
  • "Critical review of data-driven decision-making in bridge operation and maintenance" (2020), published in Structure and Infrastructure Engineering
  • "Zeolite nanosheets for catalysis" (2022), published in Chemical Society Reviews

Their collaborative network includes frequent co-authors such as Junbo Sun, Yufei Wang, Jun Wang, Wenchi Shou, and Peng Wu, reflecting ongoing partnerships in research projects and publications.

The venues where Xiangyu Wang most often publishes include:

  • arXiv (Cornell University)
  • SSRN Electronic Journal
  • Construction and Building Materials
  • Applied Sciences
  • Buildings

Their work encompasses a broad interdisciplinary approach that integrates engineering principles with emerging technologies and materials science, particularly in areas related to construction, infrastructure maintenance, and advanced material applications.

Best Publications

  • A critical review of virtual and augmented reality (VR/AR) applications in construction safety

    Xiao Li;Wen Yi;Hung Lin Chi;Xiangyu Wang;Xiangyu Wang

  • A theoretical framework of a BIM-based multi-disciplinary collaboration platform

    Vishal Singh;Ning Gu;Xiangyu Wang

  • A critical review of the use of virtual reality in construction engineering education and training

    Peng Wang;Peng Wu;Jun Wang;Hung Lin Chi

  • Research trends and opportunities of augmented reality applications in architecture, engineering, and construction

    Hung-lin Chi;Shih Chung Kang;Xiangyu Wang

  • BIM Handbook: A guide to Building Information Modeling for owners, managers, designers, engineers and contractors

    Xiangyu Wang

  • A framework for proactive construction defect management using BIM, augmented reality and ontology-based data collection template

    Chan-Sik Park;Do-Yeop Lee;Oh-Seong Kwon;Xiangyu Wang

  • A mixed review of the adoption of Building Information Modelling (BIM) for sustainability

    Heap-Yih Chong;Cen-Ying Lee;Xiangyu Wang;Xiangyu Wang

  • A state-of-the-art review on the integration of Building Information Modeling (BIM) and Geographic Information System (GIS)

    Xin Liu;Xiangyu Wang;Xiangyu Wang;Graeme Wright;Jack Chin Pang Cheng

  • Computer Vision Techniques in Construction: A Critical Review

    Shuyuan Xu;Jun Wang;Wenchi Shou;Tuan Ngo

  • The outlook of blockchain technology for construction engineering management

    Jun Wang;Peng Wu;Xiangyu Wang;Wenchi Shou

  • Augmented Reality in built environment: Classification and implications for future research

    Xiangyu Wang;Xiangyu Wang;Mi Jeong Kim;Peter E.D. Love;Shih Chung Kang

  • A conceptual framework for integrating building information modeling with augmented reality

    Xiangyu Wang;Xiangyu Wang;Peter E.D. Love;Peter E.D. Love;Mi Jeong Kim;Chan-Sik Park

  • Mapping the knowledge domains of Building Information Modeling (BIM): A bibliometric approach

    Xiao Li;Peng Wu;Geoffrey Qiping Shen;Xiangyu Wang

  • Integrating Augmented Reality with Building Information Modeling: Onsite construction process controlling for liquefied natural gas industry

    Xiangyu Wang;Xiangyu Wang;Martijn Truijens;Lei Hou;Ying Wang

  • Using animated augmented reality to cognitively guide assembly

    Lei Hou;Xiangyu Wang;Leonhard Bernold;Peter E. D. Love

  • Engagement of Facilities Management in Design Stage through BIM: Framework and a Case Study

    Ying Wang;Xiangyu Wang;Jun Wang;Ping Yung

  • Jointly dampening traffic oscillations and improving energy consumption with electric, connected and automated vehicles: A reinforcement learning based approach

    Xiaobo Qu;Yang Yu;Yang Yu;Mofan Zhou;Chin-Teng Lin

  • Trends and Opportunities of BIM-GIS Integration in the Architecture, Engineering and Construction Industry: A Review from a Spatio-Temporal Statistical Perspective

    Yongze Song;Xiangyu Wang;Yi Tan;Peng Wu

  • An overview of corrosion defect characterization using active infrared thermography

    Siavash Doshvarpassand;Changzhi Wu;Xiangyu Wang

  • Determining the Probability of Project Cost Overruns

    Peter E.D. Love;Xiangyu Wang;Chun Pong Sing;Robert L.K. Tiong

  • Using Augmented Reality to Facilitate Piping Assembly: An Experiment-Based Evaluation

    Lei Hou;Xiangyu Wang;Martijn Truijens

Frequent Co-Authors

Heap-Yih Chong
Heap-Yih Chong Nanjing Audit University
Peter E.D. Love
Peter E.D. Love Curtin University
N. A. Robertson
N. A. Robertson California Institute of Technology
Diyi Chen
Diyi Chen Northwest A&F University
Maria Alessandra Papa
Maria Alessandra Papa Max Planck Institute for Gravitational Physics
Douglas S. Reeves
Douglas S. Reeves North Carolina State University
Kok Lay Teo
Kok Lay Teo Sunway University
Bernard F. Schutz
Bernard F. Schutz Cardiff University
Alessandra Buonanno
Alessandra Buonanno Max Planck Institute for Gravitational Physics
J. A. Giaime
J. A. Giaime Louisiana State University

External Links

Personal website of Xiangyu Wang Google Scholar page

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Farhad Barzegar

Farhad Barzegar

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Publications: 94

Roman Schnabel

Roman Schnabel

Universität Hamburg

Publications: 59

N. A. Robertson

N. A. Robertson

California Institute of Technology

Publications: 49

Karsten Danzmann

Karsten Danzmann

Max Planck Institute for Gravitational Physics

Publications: 44

Alessandra Buonanno

Alessandra Buonanno

Max Planck Institute for Gravitational Physics

Publications: 42

J. A. Giaime

J. A. Giaime

Louisiana State University

Publications: 41

Nelson Christensen

Nelson Christensen

Observatoire de la Côte d’Azur

Publications: 41

Bangalore Suryanarayana Sathyaprakash

Bangalore Suryanarayana Sathyaprakash

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Publications: 40

Daniel E. Holz

Daniel E. Holz

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Publications: 40

David E. McClelland

David E. McClelland

Australian National University

Publications: 39

Lisa Barsotti

Lisa Barsotti

MIT

Publications: 38

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