World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
59
Citations
11991
World Ranking
2360
National Ranking
475

Shucai Li 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 Shucai Li sits on this spectrum.

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 publications 804+

This scientist: 371 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.

Shucai Li 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 Shucai Li sits on this spectrum.

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: 59 D-Index — 77th percentile

77% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

Overview

Shucai Li is affiliated with Shandong University in China and has a research focus primarily within the field of Engineering, with a substantial number of publications related to Civil and Structural Engineering and Mechanics of Materials. The scientist's work spans several subfields including Ocean Engineering, Safety, Risk, Reliability and Quality, and Mechanical Engineering.

Research topics covered by Shucai Li include:

  • Rock Mechanics and Modeling
  • Grouting, Rheology, and Soil Mechanics
  • Tunneling and Rock Mechanics
  • Geotechnical Engineering and Underground Structures
  • Geotechnical Engineering and Analysis
  • Concrete and Cement Materials Research
  • Landslides and related hazards

Several recent papers provide insight into the research areas and methodologies prevalent in this scientist's work. These include:

  • "Comparative study of model tests on automatically formed roadway and gob-side entry driving in deep coal mines," published in 2021 in the International Journal of Mining Science and Technology
  • "In-situ test and bolt-grouting design evaluation method of underground engineering based on digital drilling," published in 2020 in the International Journal of Rock Mechanics and Mining Sciences
  • "Water and mud inrush hazard in underground engineering: Genesis, evolution and prevention," published in 2021 in Tunnelling and Underground Space Technology
  • "Investigation the synergistic effects in quaternary binder containing red mud, blast furnace slag, steel slag and flue gas desulfurization gypsum based on artificial neural networks," published in 2020 in the Journal of Cleaner Production
  • "Feasibility of preparing red mud-based cementitious materials: Synergistic utilization of industrial solid waste, waste heat, and tail gas," published in 2020 in the Journal of Cleaner Production

Frequent co-authors contributing to joint research efforts with Shucai Li include Rentai Liu, Zhaofeng Li, Bei Jiang, Shaoshuai Shi, and Daohong Qiu. This suggests a collaborative approach crossing multiple domains within engineering and material sciences.

Publication venues prominently featuring Shucai Li's work are:

  • Tunnelling and Underground Space Technology
  • Construction and Building Materials
  • International Journal of Geomechanics
  • Rock Mechanics and Rock Engineering
  • Arabian Journal of Geosciences

The pattern of publications and research topics indicate a consistent interest in underground engineering challenges, material research related to cementitious and waste materials, and applied modeling in geotechnical contexts.

Best Publications

  • An overview of ahead geological prospecting in tunneling

    Unknown

  • Protection against water or mud inrush in tunnels by grouting: A review

    Shucai Li;Rentai Liu;Qingsong Zhang;Xiao Zhang

  • Risk assessment of water inrush in karst tunnels based on attribute synthetic evaluation system

    Shu-cai Li;Zong-qing Zhou;Li-ping Li;Zhen-hao Xu

  • Deep-Learning Inversion of Seismic Data

    Shucai Li;Bin Liu;Yuxiao Ren;Yangkang Chen

  • Failure mechanism of surrounding rock with high stress and confined concrete support system

    Qi Wang;Qi Wang;Bei Jiang;Bei Jiang;Rui Pan;Shu-Cai Li

  • Study on failure mechanism of roadway with soft rock in deep coal mine and confined concrete support system

    Q. Wang;Q. Wang;R. Pan;B. Jiang;B. Jiang;S.C. Li

  • Experimental study on performance of cement-based grouts admixed with fly ash, bentonite, superplasticizer and water glass

    Fei Sha;Shucai Li;Rentai Liu;Zhaofeng Li

  • Model test study on surrounding rock deformation and failure mechanisms of deep roadways with thick top coal

    S.C. Li;Q. Wang;Q. Wang;H.T. Wang;B. Jiang

  • Comparative study of model tests on automatically formed roadway and gob-side entry driving in deep coal mines

    Qi Wang;Qi Wang;Manchao He;Shucai Li;Shucai Li;Zhenhua Jiang

  • Time-Dependent Behavior of Diabase and a Nonlinear Creep Model

    Wendong Yang;Qiangyong Zhang;Shucai Li;Shugang Wang

  • Detecting and monitoring of water inrush in tunnels and coal mines using direct current resistivity method: A review

    Shucai Li;Bin Liu;Lichao Nie;Zhengyu Liu

  • Effect of different gypsums on the workability and mechanical properties of red mud-slag based grouting materials

    Zhaofeng Li;Jian Zhang;Shucai Li;Yifan Gao

  • In-situ test and bolt-grouting design evaluation method of underground engineering based on digital drilling

    Qi Wang;Qi Wang;Hongke Gao;Hongke Gao;Bei Jiang;Bei Jiang;Shucai Li

  • Grouting mechanism of quick setting slurry in rock fissure with consideration of viscosity variation with space

    Unknown

  • Grouting rock fractures with cement and sodium silicate grout

    Weijie Zhang;Weijie Zhang;Shucai Li;Jiuchuan Wei;Qingsong Zhang

  • Enriched meshless manifold method for two-dimensional crack modeling

    S.C. Li;Y.M. Cheng

  • Fatigue Behavior of Granite Subjected to Cyclic Loading Under Triaxial Compression Condition

    Zhechao Wang;Shucai Li;Liping Qiao;Jiangang Zhao

  • Risk assessment of water inrush in karst tunnels excavation based on normal cloud model

    Xintong Wang;Shucai Li;Zhenhao Xu;Jie Hu

  • Analysis on the Precursor Information of Water Inrush in Karst Tunnels: A True Triaxial Model Test Study

    Shucai Li;Chenglu Gao;Zongqing Zhou;Zongqing Zhou;Zongqing Zhou;Liping Li

  • Water and mud inrush hazard in underground engineering: Genesis, evolution and prevention

    Yiguo Xue;Fanmeng Kong;Shucai Li;Daohong Qiu

  • Large-scale geomechanical model testing of an underground cavern group in a true three-dimensional (3-D) stress state

    Weishen Zhu;Qianbing Zhang;Hong-Hu Zhu;Hong-Hu Zhu;Yong Li

  • An interval risk assessment method and management of water inflow and inrush in course of karst tunnel excavation

    Xintong Wang;Shucai Li;Zhenhao Xu;Zhenhao Xu;Xiaozhao Li;Xiaozhao Li

  • Model test study on vibration blasting of large cross-section tunnel with small clearance in horizontal stratified surrounding rock

    Shuguang Song;Shuguang Song;Shucai Li;Liping Li;Shaoshuai Shi

  • Risk assessment of water inrush in karst tunnels and software development

    Liping Li;Liping Li;Liping Li;Ting Lei;Shucai Li;Qianqing Zhang

  • Analysis of factors influencing tunnel deformation in loess deposits by data mining: A deformation prediction model

    Yiguo Xue;Xueliang Zhang;Shucai Li;Daohong Qiu

Frequent Co-Authors

Manchao He
Manchao He China University of Mining and Technology
Guowei Ma
Guowei Ma University of Western Australia
Yujing Jiang
Yujing Jiang Nagasaki University
K.T. Chau
K.T. Chau Hong Kong Polytechnic University
Qianbing Zhang
Qianbing Zhang Monash University
Yan Zhao
Yan Zhao Wuhan University of Technology
Bin Zhang
Bin Zhang Tianjin University
Jian Zhao
Jian Zhao Monash University
Tao Xu
Tao Xu Northeastern University
Hongwei Huang
Hongwei Huang Tongji University

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