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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 64 1670 1586 324 323 317 13721

Limao Zhang publications per year

The chart shows the history of publications by Limao Zhang between 2012 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Limao Zhang published across 14 years, from 2012 to 2025, averaging 24.9 papers a year. Output peaked at 63 publications in 2021. 86 of the 348 publications appeared in the last two years.

No. of publications
20 40 60
Bar chart. Horizontal axis: year, 2012 to 2025. Vertical axis: number of publications, 0 to 63. Peak 63 publications in 2021. 2012: 4 publications 2013: 6 publications 2014: 13 publications 2015: 14 publications 2016: 11 publications 2017: 9 publications 2018: 10 publications 2019: 9 publications 2020: 25 publications 2021: 63 publications 2022: 51 publications 2023: 47 publications 2024: 33 publications 2025: 53 publications
2012 2025

348 publications in total across all disciplines

View publications per year as a table
Limao Zhang: publications per year, 2012 to 2025
Year Publications
2012 4
2013 6
2014 13
2015 14
2016 11
2017 9
2018 10
2019 9
2020 25
2021 63
2022 51
2023 47
2024 33
2025 53
Total 348
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Limao Zhang 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 Limao Zhang 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, 308–317 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: 317 publications — 79th percentile

79% 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
308–317 154 317
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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Limao Zhang 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 Limao Zhang 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, 64 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: 64 D-Index — 84th percentile

84% 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
63 131
64 118 64
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

Limao Zhang is affiliated with Huazhong University of Science and Technology in China. Their research primarily spans the field of engineering, with a focus on several subfields including civil and structural engineering, building and construction, ocean engineering, environmental engineering, and safety, risk, reliability, and quality.

The main topics covered by their publications include infrastructure maintenance and monitoring, tunneling and rock mechanics, geotechnical engineering and analysis, BIM and construction integration, drilling and well engineering, building energy and comfort optimization, and 3D surveying and cultural heritage.

Zhang has contributed to multiple academic papers, several of which have significant citation counts. Recent works include:

  • Roles of artificial intelligence in construction engineering and management: A critical review and future trends (2020), published in Automation in Construction
  • A BIM-data mining integrated digital twin framework for advanced project management (2021), published in Automation in Construction
  • Integrating BIM and AI for Smart Construction Management: Current Status and Future Directions (2022), published in Archives of Computational Methods in Engineering
  • Energy consumption prediction and diagnosis of public buildings based on support vector machine learning: A case study in China (2020), published in Journal of Cleaner Production
  • Multi-classifier information fusion in risk analysis (2020), published in Information Fusion

Their frequent coauthors include Yue Pan, Mirosław J. Skibniewski, Penghui Lin, Robert L. K. Tiong, and Xianguo Wu.

Zhang's work is represented extensively in prominent publication venues. The most frequent among these are:

  • Automation in Construction
  • Reliability Engineering & System Safety
  • Applied Soft Computing
  • SSRN Electronic Journal
  • Advanced Engineering Informatics

Their research contributions cover a broad and interconnected range of topics within engineering, with particular attention to the integration of advanced digital technologies such as artificial intelligence and BIM (Building Information Modeling) in construction and project management.

Best Publications

  • Bayesian-network-based safety risk analysis in construction projects

    Limao Zhang;Limao Zhang;Xianguo Wu;Miroslaw J. Skibniewski;Miroslaw J. Skibniewski;Jingbing Zhong

  • Energy consumption prediction and diagnosis of public buildings based on support vector machine learning: A case study in China

    Yang Liu;Hongyu Chen;Limao Zhang;Xianguo Wu

  • Improved Fuzzy Bayesian Network-Based Risk Analysis With Interval-Valued Fuzzy Sets and D–S Evidence Theory

    Yue Pan;Limao Zhang;ZhiWu Li;Lieyun Ding

  • A dynamic Bayesian network based approach to safety decision support in tunnel construction

    Xianguo Wu;Huitao Liu;Limao Zhang;Limao Zhang;Miroslaw J. Skibniewski;Miroslaw J. Skibniewski

  • Multi-classifier information fusion in risk analysis

    Yue Pan;Limao Zhang;Xianguo Wu;Miroslaw J Skibniewski

  • Towards a Fuzzy Bayesian Network Based Approach for Safety Risk Analysis of Tunnel‐Induced Pipeline Damage

    Limao Zhang;Xianguo Wu;Yawei Qin;Miroslaw J. Skibniewski;Miroslaw J. Skibniewski

  • Data-driven estimation of building energy consumption and GHG emissions using explainable artificial intelligence

    Unknown

  • Multi-objective optimization for improved project management: Current status and future directions

    Unknown

  • Prospective safety performance evaluation on construction sites.

    Xianguo Wu;Qian Liu;Limao Zhang;Limao Zhang;Miroslaw J. Skibniewski;Miroslaw J. Skibniewski

  • A spatial-channel hierarchical deep learning network for pixel-level automated crack detection

    Yue Pan;Gaowei Zhang;Limao Zhang

  • Optimizing energy efficiency and thermal comfort in building green retrofit

    Qing Li;Lianying Zhang;Limao Zhang;Xianguo Wu

  • Perceiving safety risk of buildings adjacent to tunneling excavation: An information fusion approach

    Limao Zhang;Limao Zhang;Xianguo Wu;Hongping Zhu;Simaan M. AbouRizk

  • Data-driven estimation of building energy consumption with multi-source heterogeneous data

    Yue Pan;Limao Zhang

  • Multiobjective optimization of building energy consumption based on BIM-DB and LSSVM-NSGA-II

    Bin Chen;Qiong Liu;Hongyu Chen;Lei Wang

  • A probabilistic approach for safety risk analysis in metro construction

    Limao Zhang;Limao Zhang;Miroslaw J. Skibniewski;Miroslaw J. Skibniewski;Xianguo Wu;Yueqing Chen

  • An RF and LSSVM–NSGA-II method for the multi-objective optimization of high-performance concrete durability

    Unknown

  • An improved Dempster–Shafer approach to construction safety risk perception

    Limao Zhang;Limao Zhang;Lieyun Ding;Xianguo Wu;Miroslaw J. Skibniewski;Miroslaw J. Skibniewski;Miroslaw J. Skibniewski

  • Decision support analysis for safety control in complex project environments based on Bayesian Networks

    Limao Zhang;Xianguo Wu;Lieyun Ding;Miroslaw J. Skibniewski

  • Bim-Based Risk Identification System in tunnel construction

    Limao Zhang;Xianguo Wu;Lieyun Ding;Miroslaw J. Skibniewski

  • Transparent Digital Twin for Output Control Using Belief Rule Base.

    Leilei Chang;Limao Zhang;Chao Fu;Yu-Wang Chen

Frequent Co-Authors

Miroslaw J. Skibniewski
Miroslaw J. Skibniewski University of Maryland, College Park
Simaan AbouRizk
Simaan AbouRizk University of Alberta
Lieyun Ding
Lieyun Ding Huazhong University of Science and Technology
Robert L. K. Tiong
Robert L. K. Tiong Nanyang Technological University
Zhiwu Li
Zhiwu Li Macau University of Science and Technology
Hongping Zhu
Hongping Zhu Huazhong University of Science and Technology
Mohamed Al-Hussein
Mohamed Al-Hussein University of Alberta
May O. Lwin
May O. Lwin Nanyang Technological University
Heng Li
Heng Li Hong Kong Polytechnic University
Caiming Xiong
Caiming Xiong Salesforce (United States)

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