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Yi-Qing Ni

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Engineering and Technology 62 1885 1794 375 374 601 15201

Yi-Qing Ni publications per year

The chart shows the history of publications by Yi-Qing Ni between 1992 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Yi-Qing Ni published across 34 years, from 1992 to 2025, averaging 18.5 papers a year. Output peaked at 69 publications in 2023. 128 of the 628 publications appeared in the last two years.

No. of publications
20 40 60
Bar chart. Horizontal axis: year, 1992 to 2025. Vertical axis: number of publications, 0 to 69. Peak 69 publications in 2023. 1992: 1 publication 1993: 2 publications 1994: 2 publications 1995: 1 publication 1996: 1 publication 1997: 1 publication 1998: 0 publications 1999: 6 publications 2000: 18 publications 2001: 11 publications 2002: 18 publications 2003: 18 publications 2004: 7 publications 2005: 16 publications 2006: 14 publications 2007: 10 publications 2008: 9 publications 2009: 22 publications 2010: 10 publications 2011: 30 publications 2012: 23 publications 2013: 22 publications 2014: 12 publications 2015: 22 publications 2016: 8 publications 2017: 20 publications 2018: 24 publications 2019: 27 publications 2020: 12 publications 2021: 22 publications 2022: 42 publications 2023: 69 publications 2024: 63 publications 2025: 65 publications
1992 2025

628 publications in total across all disciplines

View publications per year as a table
Yi-Qing Ni: publications per year, 1992 to 2025
Year Publications
1992 1
1993 2
1994 2
1995 1
1996 1
1997 1
1998 0
1999 6
2000 18
2001 11
2002 18
2003 18
2004 7
2005 16
2006 14
2007 10
2008 9
2009 22
2010 10
2011 30
2012 23
2013 22
2014 12
2015 22
2016 8
2017 20
2018 24
2019 27
2020 12
2021 22
2022 42
2023 69
2024 63
2025 65
Total 628
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Yi-Qing Ni 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 Yi-Qing Ni 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, 598–607 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: 601 publications — 97th percentile

97% 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
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 22 601
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

Yi-Qing Ni 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 Yi-Qing Ni 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, 62 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: 62 D-Index — 81st percentile

81% 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
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 62
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

Yi-Qing Ni is affiliated with the Hong Kong Polytechnic University in China and specializes in the field of engineering, with a substantial focus on civil and structural engineering. Their research explores a range of subfields including mechanical engineering, aerospace engineering, mechanics of materials, and environmental engineering.

The scientist has contributed extensively to topics primarily centered on structural health and infrastructure monitoring techniques. Key research areas include:

  • Structural Health Monitoring Techniques
  • Aerodynamics and Fluid Dynamics Research
  • Wind and Air Flow Studies
  • Railway Engineering and Dynamics
  • Infrastructure Maintenance and Monitoring
  • Fluid Dynamics and Vibration Analysis
  • Ultrasonics and Acoustic Wave Propagation

Yi-Qing Ni's publication record demonstrates a focus on practical and theoretical approaches in engineering, with notable papers including:

  • "A-PINN: Auxiliary physics informed neural networks for forward and inverse problems of nonlinear integro-differential equations" (2022) in Journal of Computational Physics
  • "In-situ synthesizing carbon nanotubes on cement to develop self-sensing cementitious composites for smart high-speed rail infrastructures" (2022) in Nano Today
  • "Self-Sensing Cementitious Composites with Hierarchical Carbon Fiber-Carbon Nanotube Composite Fillers for Crack Development Monitoring of a Maglev Girder" (2022) in Small
  • "A Bayesian approach for condition assessment and damage alarm of bridge expansion joints using long-term structural health monitoring data" (2020) in Engineering Structures
  • "Real-time defect detection of high-speed train wheels by using Bayesian forecasting and dynamic model" (2020) in Mechanical Systems and Signal Processing

The scientist's work frequently appears in specific publication venues that align closely with their research topics, including:

  • Structural Control and Health Monitoring
  • SSRN Electronic Journal
  • Mechanical Systems and Signal Processing
  • Engineering Structures
  • Structural Health Monitoring

Collaboration is a notable aspect of Yi-Qing Ni's research output. Frequent coauthors include:

  • You-Wu Wang
  • E Deng
  • Zhengwei Chen
  • Su-Mei Wang
  • Weichao Yang

Their research contribution within civil and structural engineering, coupled with mechanical and aerospace engineering subfields, demonstrates a multidisciplinary approach to engineering challenges. Yi-Qing Ni's body of work encompasses a blend of experimental, computational, and applied engineering studies, particularly emphasizing monitoring and condition assessment technologies for infrastructure and transportation systems.

Best Publications

  • Technology developments in structural health monitoring of large-scale bridges

    J. M. Ko;Yiqing Ni

  • Fiber Bragg grating sensors for structural health monitoring of Tsing Ma bridge: Background and experimental observation

    T. H.T. Chan;L. Yu;Hwa Yaw Tam;Yiqing Ni

  • Technology innovation in developing the structural health monitoring system for Guangzhou New TV Tower

    Y. Q. Ni;Y. Xia;W. Y. Liao;J. M. Ko

  • Correlating modal properties with temperature using long-term monitoring data and support vector machine technique

    Yiqing Ni;X. G. Hua;K. Q. Fan;J. M. Ko

  • In-situ synthesizing carbon nanotubes on cement to develop self-sensing cementitious composites for smart high-speed rail infrastructures

    Unknown

  • Temperature effect on vibration properties of civil structures: a literature review and case studies

    Yong Xia;Bo Chen;Shun Weng;Yiqing Ni

  • A-PINN: Auxiliary physics informed neural networks for forward and inverse problems of nonlinear integro-differential equations

    Unknown

  • Multi-stage identification scheme for detecting damage in cable-stayed Kap Shui Mun Bridge

    J.M. Ko;Z.G. Sun;Y.Q. Ni

  • Bayesian multi-task learning methodology for reconstruction of structural health monitoring data:

    Hua Ping Wan;Yi Qing Ni

  • Structural Health Monitoring of Large Civil Engineering Structures

    Unknown

  • Real-time safety early warning system for cross passage construction in Yangtze Riverbed Metro Tunnel based on the internet of things

    L.Y. Ding;C. Zhou;Q.X. Deng;H.B. Luo

  • Self-Sensing Cementitious Composites with Hierarchical Carbon Fiber-Carbon Nanotube Composite Fillers for Crack Development Monitoring of a Maglev Girder.

    Unknown

  • Statistical analysis of stress spectra for fatigue life assessment of steel bridges with structural health monitoring data

    X. W. Ye;Yiqing Ni;K. Y. Wong;J. M. Ko

  • Modeling of Temperature–Frequency Correlation Using Combined Principal Component Analysis and Support Vector Regression Technique

    X. G. Hua;Yiqing Ni;J. M. Ko;K. Y. Wong

  • DYNAMIC ANALYSIS OF LARGE-DIAMETER SAGGED CABLES TAKING INTO ACCOUNT FLEXURAL RIGIDITY

    Y.Q. Ni;J.M. Ko;G. Zheng

  • IDENTIFICATION OF NON-LINEAR HYSTERETIC ISOLATORS FROM PERIODIC VIBRATION TESTS

    Yiqing Ni;J. M. Ko;C. W. Wong

  • Field observations of rain-wind-induced cable vibration in cable-stayed Dongting Lake Bridge

    Yq Q. Ni;Xy Y. Wang;Zq Q. Chen;Jm M. Ko

  • Dual-core photonic Crystal fiber for dispersion compensation

    Yi Ni;Lei Zhang;Liang An;Jiangde Peng

  • Experimental investigation of seismic damage identification using PCA-compressed frequency response functions and neural networks

    Yiqing Ni;X. T. Zhou;J. M. Ko

  • Theoretical and experimental modal analysis of the Guangzhou New TV Tower

    W.H. Chen;Z.R. Lu;W. Lin;S.H. Chen

  • Assessment of Bridge Expansion Joints Using Long-Term Displacement and Temperature Measurement

    Yq Q. Ni;Xg G. Hua;Ky Y. Wong;Jm M. Ko

  • A vision-based system for dynamic displacement measurement of long-span bridges : algorithm and verification

    X.W. Ye;Y.Q. Ni;T.T. Wai;K.Y. Wong

  • MR damping system for mitigating wind-rain induced vibration on Dongting Lake cable-stayed bridge

    Z.Q. Chen;X.Y. Wang;J.M. Ko;Y.Q. Ni

  • An improved perturbation method for stochastic finite element model updating

    Xg G. Hua;Xg G. Hua;Yq Q. Ni;Zq Q. Chen;Jm M. Ko

  • Neuro-control of cable vibration using semi-active magneto-rheological dampers

    Y.Q. Ni;Y. Chen;J.M. Ko;D.Q. Cao

  • RANDOM SEISMIC RESPONSE ANALYSIS OF ADJACENT BUILDINGS COUPLED WITH NON-LINEAR HYSTERETIC DAMPERS

    Yiqing Ni;J. M. Ko;Z. G. Ying

  • A Bayesian approach for condition assessment and damage alarm of bridge expansion joints using long-term structural health monitoring data

    Y.Q. Ni;Y.W. Wang;C. Zhang

  • State-derivative feedback control of cable vibration using semiactive magnetorheological dampers

    Y. F. Duan;Yiqing Ni;J. M. Ko

Frequent Co-Authors

Jm M. Ko
Jm M. Ko Hong Kong Polytechnic University
Tommy H.T. Chan
Tommy H.T. Chan Queensland University of Technology
Baoguo Han
Baoguo Han Dalian University of Technology
Billie F. Spencer
Billie F. Spencer University of Illinois at Urbana-Champaign
Dan Wang
Dan Wang Hong Kong Polytechnic University
Chin-Hsiung Loh
Chin-Hsiung Loh National Taiwan University
You-Lin Xu
You-Lin Xu Hong Kong Polytechnic University
Siu Wing Or
Siu Wing Or Hong Kong Polytechnic University
Xun Yu
Xun Yu New York Institute of Technology
Jinping Ou
Jinping Ou Harbin Institute of Technology

External Links

Personal website of Yi-Qing Ni Google Scholar page

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Publications: 32

Hui Li

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Publications: 31

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Publications: 30

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Publications: 29

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Publications: 28

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Billie F. Spencer

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Publications: 25

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Publications: 24

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