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Hao Wang

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Engineering and Technology 46 5239 5047 1019 1013 370 7171

Hao Wang publications per year

The chart shows the history of publications by Hao Wang between 2001 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Hao Wang published across 25 years, from 2001 to 2025, averaging 16.7 papers a year. Output peaked at 61 publications in 2025. 115 of the 418 publications appeared in the last two years.

No. of publications
20 40 60
Bar chart. Horizontal axis: year, 2001 to 2025. Vertical axis: number of publications, 0 to 61. Peak 61 publications in 2025. 2001: 1 publication 2002: 1 publication 2003: 1 publication 2004: 1 publication 2005: 3 publications 2006: 2 publications 2007: 1 publication 2008: 2 publications 2009: 13 publications 2010: 15 publications 2011: 6 publications 2012: 16 publications 2013: 13 publications 2014: 12 publications 2015: 5 publications 2016: 19 publications 2017: 16 publications 2018: 18 publications 2019: 24 publications 2020: 29 publications 2021: 28 publications 2022: 25 publications 2023: 52 publications 2024: 54 publications 2025: 61 publications
2001 2025

418 publications in total across all disciplines

View publications per year as a table
Hao Wang: publications per year, 2001 to 2025
Year Publications
2001 1
2002 1
2003 1
2004 1
2005 3
2006 2
2007 1
2008 2
2009 13
2010 15
2011 6
2012 16
2013 13
2014 12
2015 5
2016 19
2017 16
2018 18
2019 24
2020 29
2021 28
2022 25
2023 52
2024 54
2025 61
Total 418
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Hao Wang 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 Hao Wang 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, 368–377 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: 370 publications — 86th percentile

86% 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
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
368–377 118 370
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
Download as CSV

Hao Wang 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 Hao Wang 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, 46 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: 46 D-Index — 49th percentile

49% 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
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 46
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
Download as CSV

Overview

Hao Wang is affiliated with Southeast University in China and has made contributions primarily in the field of engineering. Their research focuses on civil and structural engineering as well as related subfields such as mechanical engineering, environmental engineering, computational mechanics, and control and systems engineering.

The scientist has authored 480 publications in engineering, with notable emphasis on civil and structural engineering through 214 of these. Other subfields include mechanical engineering with 65 publications, environmental engineering with 45, computational mechanics with 39, and control and systems engineering with 37.

Key research topics covered in their work include:

  • Structural Health Monitoring Techniques
  • Wind and Air Flow Studies
  • Seismic Performance and Analysis
  • Fluid Dynamics and Vibration Analysis
  • Structural Engineering and Vibration Analysis
  • Vibration and Dynamic Analysis
  • Infrastructure Maintenance and Monitoring

Hao Wang's frequent coauthors include:

  • Jianxiao Mao (46 joint publications)
  • Zidong Xu (36 joint publications)
  • Tianyou Tao (27 joint publications)
  • Hui Gao (19 joint publications)
  • Jian Li (15 joint publications)

The scientist often publishes in the following venues:

  • Engineering Structures (18 publications)
  • International Journal of Structural Stability and Dynamics (16 publications)
  • Journal of Wind Engineering and Industrial Aerodynamics (13 publications)
  • Mechanical Systems and Signal Processing (9 publications)
  • Structures (8 publications)

Recent papers by Hao Wang include:

  • "Toward data anomaly detection for automated structural health monitoring: Exploiting generative adversarial nets and autoencoders," 2020, Structural Health Monitoring
  • "Influence of CeO2 addition on forming quality and microstructure of TiC -reinforced CrTi4-based laser cladding composite coating," 2020, Materials Characterization
  • "Multi-head attention-based probabilistic CNN-BiLSTM for day-ahead wind speed forecasting," 2023, Energy
  • "Probabilistic Framework with Bayesian Optimization for Predicting Typhoon-Induced Dynamic Responses of a Long-Span Bridge," 2020, Journal of Structural Engineering
  • "Optimum design of viscous inerter damper targeting multi-mode vibration mitigation of stay cables," 2020, Engineering Structures

Best Publications

  • Toward data anomaly detection for automated structural health monitoring: Exploiting generative adversarial nets and autoencoders

    Jianxiao Mao;Jianxiao Mao;Hao Wang;Billie F Spencer

  • Investigation of dynamic properties of long‐span cable‐stayed bridges based on one‐year monitoring data under normal operating condition

    Jian‐Xiao Mao;Hao Wang;Dong‐Ming Feng;Tian‐You Tao

  • Multi-head attention-based probabilistic CNN-BiLSTM for day-ahead wind speed forecasting

    Unknown

  • Influence of CeO2 addition on forming quality and microstructure of TiC -reinforced CrTi4-based laser cladding composite coating

    Unknown

  • Long-term monitoring of wind characteristics at Sutong Bridge site

    Hao Wang;Aiqun Li;Jie Niu;Zhouhong Zong

  • Measurements and analysis of non-stationary wind characteristics at Sutong Bridge in Typhoon Damrey

    Hao Wang;Teng Wu;Tianyou Tao;Aiqun Li

  • Automated modal identification using principal component and cluster analysis: Application to a long-span cable-stayed bridge

    Jian Xiao Mao;Hao Wang;Yu Guang Fu;Billie F. Spencer

  • Progressive finite element model calibration of a long-span suspension bridge based on ambient vibration and static measurements

    Hao Wang;Hao Wang;Ai-qun Li;Jian Li

  • Probabilistic Framework with Bayesian Optimization for Predicting Typhoon-Induced Dynamic Responses of a Long-Span Bridge

    Yi-Ming Zhang;Hao Wang;Jian-Xiao Mao;Zi-Dong Xu

  • Optimum design and performance evaluation of the tuned inerter-negative-stiffness damper for seismic protection of single-degree-of-freedom structures

    Hao Wang;Hui Gao;Jian Li;Zhihao Wang

  • Optimum design of viscous inerter damper targeting multi-mode vibration mitigation of stay cables

    Hui Gao;Hao Wang;Jian Li;Zhihao Wang

  • Bayesian dynamic regression for reconstructing missing data in structural health monitoring

    Unknown

  • Modeling and forecasting of temperature-induced strain of a long-span bridge using an improved Bayesian dynamic linear model

    Hao Wang;Yi-Ming Zhang;Jian-Xiao Mao;Hua-Ping Wan

  • Comparative Study on Buffeting Performance of Sutong Bridge Based on Design and Measured Spectrum

    Hao Wang;Ruomei Hu;Jing Xie;Teng Tong

  • Sandwich-like triboelectric nanogenerators integrated self-powered buoy for navigation safety

    Hao Wang;Zhongqi Fan;Tiancong Zhao;Jiale Dong

  • Damage location, quantification and characterization of steel-concrete composite beams using acoustic emission

    Unknown

  • Anomaly detection of structural health monitoring data using the maximum likelihood estimation-based Bayesian dynamic linear model:

    Yi-Ming Zhang;Yi-Ming Zhang;Hao Wang;Hua-Ping Wan;Jian-Xiao Mao

  • A probabilistic approach for short-term prediction of wind gust speed using ensemble learning

    Hao Wang;Yi-Ming Zhang;Yi-Ming Zhang;Jian-Xiao Mao;Hua-Ping Wan

  • Comparative Study of the Wind Characteristics of a Strong Wind Event Based on Stationary and Nonstationary Models

    Tianyou Tao;Hao Wang;Teng Wu

  • Parametric Study of SMA-based Friction Pendulum System for Response Control of Bridges under Near-Fault Ground Motions

    Wen-Zhi Zheng;Hao Wang;Jian Li;Hui-Jun Shen

  • Analysis and assessment of bridge health monitoring mass data —progress in research/development of “Structural Health Monitoring”

    AiQun Li;YouLiang Ding;Hao Wang;Tong Guo

  • Deep Learning-Based Denoise Network for CSI Feedback in FDD Massive MIMO Systems

    Hongyuan Ye;Feifei Gao;Jing Qian;Hao Wang

Frequent Co-Authors

Bedangadas Mohanty
Bedangadas Mohanty National Institute of Science Education and Research
Michael Wang
Michael Wang Argonne National Laboratory
Johan Alme
Johan Alme University of Bergen
Bruno Alessandro
Bruno Alessandro Langley Research Center
Madan M. Aggarwal
Madan M. Aggarwal Panjab University
Alexander Akindinov
Alexander Akindinov Institute for Theoretical and Experimental Physics
Dieter Røhrich
Dieter Røhrich University of Bergen
Guy Paic
Guy Paic National Autonomous University of Mexico
Peter Braun-Munzinger
Peter Braun-Munzinger GSI Helmholtz Centre for Heavy Ion Research
Kristin Fanebust Hetland
Kristin Fanebust Hetland Western Norway University of Applied Sciences

External Links

Personal website of Hao Wang

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