World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
41
Citations
7742
World Ranking
6893
National Ranking
1883

Shih-Lung Shaw 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 Shih-Lung Shaw 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: 109 publications — 11th percentile

11% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

Shih-Lung Shaw 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 Shih-Lung Shaw 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: 41 D-Index — 31st percentile

31% of scientists in this discipline score the same or lower.

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

Overview

Shih-Lung Shaw is affiliated with the University of Tennessee at Knoxville in the United States. Their research primarily spans the fields of Social Sciences and Engineering, with a focus on several specialized subfields including Transportation, Geography, Planning and Development, Ocean Engineering, Computer Vision and Pattern Recognition, and Building and Construction.

Their scholarly work addresses topics related to Human Mobility and Location-Based Analysis, Urban Transport and Accessibility, Geographic Information Systems Studies, Transportation Planning and Optimization, Evacuation and Crowd Dynamics, Smart Cities and Technologies, and Context-Aware Activity Recognition Systems.

Frequent coauthors collaborating with Shih-Lung Shaw include:

  • Xinyue Ye
  • Daniel Z. Sui
  • Zhixiang Fang
  • Xinyu Li
  • Feng Lu

The scientist has contributed papers to several publication venues, notably:

  • Transactions in GIS
  • Journal of Transport Geography
  • Annals of the American Association of Geographers
  • Journal of Geographical Systems
  • Annals of GIS

Recent publications authored or co-authored by Shih-Lung Shaw include:

  • "Time efficiency assessment of ship movements in maritime ports: A case study of two ports based on AIS data" (2020), Journal of Transport Geography
  • "Effects of Data Preprocessing Methods on Addressing Location Uncertainty in Mobile Signaling Data" (2020), Annals of the American Association of Geographers
  • "Time geography in a hybrid physical-virtual world" (2023), Journal of Geographical Systems
  • "Artificial intelligence in urban science: why does it matter?" (2025), Annals of GIS
  • "An enhanced model for evacuation vulnerability assessment in urban areas" (2020), Computers Environment and Urban Systems

Shih-Lung Shaw has also contributed a book titled Mapping COVID-19 in Space and Time, published in 2021 by Springer International Publishing.

Best Publications

  • Geographic Information Systems for Transportation: Principles and Applications

    Harvey J Miller;Shih-Lung Shaw

  • A new insight into land use classification based on aggregated mobile phone data

    Tao Pei;Stanislav Sobolevsky;Carlo Ratti;Shih-Lung Shaw

  • A Sensor-Fusion Drivable-Region and Lane-Detection System for Autonomous Vehicle Navigation in Challenging Road Scenarios

    Qingquan Li;Long Chen;Ming Li;Shih-Lung Shaw

  • Measuring segregation: an activity space approach.

    David W. S. Wong;Shih-Lung Shaw

  • Optimizing the Locations of Electric Taxi Charging Stations: a Spatial-temporal Demand Coverage Approach

    Wei Tu;Qingquan Li;Qingquan Li;Zhixiang Fang;Shih lung Shaw;Shih lung Shaw

  • Impacts of high speed rail on railroad network accessibility in China

    Shih-Lung Shaw;Shih-Lung Shaw;Zhixiang Fang;Zhixiang Fang;Shiwei Lu;Shiwei Lu;Ran Tao

  • Exploring potential human activities in physical and virtual spaces: a spatio-temporal GIS approach

    Hongbo Yu;Shih-Lung Shaw

  • A GIS-based time-geographic approach of studying individual activities and interactions in a hybrid physical–virtual space

    Shih-Lung Shaw;Hongbo Yu

  • Coupling mobile phone and social media data: a new approach to understanding urban functions and diurnal patterns

    Wei Tu;Jinzhou Cao;Yang Yue;Shih Lung Shaw

  • Exploratory data analysis of activity diary data: a space-time GIS approach

    Jie Chen;Shih-Lung Shaw;Hongbo Yu;Feng Lu

  • Map-matching algorithm for large-scale low-frequency floating car data

    Bi Yu Chen;Hui Yuan;Qingquan Li;William H. K. Lam

  • Understanding aggregate human mobility patterns using passive mobile phone location data: a home-based approach

    Yang Xu;Shih Lung Shaw;Shih Lung Shaw;Ziliang Zhao;Ling Yin

  • Understanding the bias of call detail records in human mobility research

    Ziliang Zhao;Shih-Lung Shaw;Yang Xu;Feng Lu

  • A Space‐Time GIS Approach to Exploring Large Individual‐based Spatiotemporal Datasets

    Shih-Lung Shaw;Hongbo Yu;Leonard S Bombom

  • Editorial: human dynamics in the mobile and big data era

    Shih-Lung Shaw;Ming-Hsiang Tsou;Xinyue Ye

  • A GIS-based spatial decision support system for tourists of Great Smoky Mountains National Park

    Andrew S. Dye;Shih-Lung Shaw

  • Integrated land use and transportation interaction: a temporal GIS exploratory data analysis approach

    Shih-Lung Shaw;Xiaohong Xin

  • Hub structures of major US passenger airlines.

    Shih-Lung Shaw

  • Another Tale of Two Cities: Understanding Human Activity Space Using Actively Tracked Cellphone Location Data

    Yang Xu;Shih Lung Shaw;Ziliang Zhao;Ling Yin

  • Measuring place-based accessibility under travel time uncertainty

    Bi Yu Chen;Hui Yuan;Qingquan Li;Donggen Wang

  • A New Insight into Land Use Classification Based on Aggregated Mobile Phone Data

    Tao Pei;Stanislav Sobolevsky;Carlo Ratti;Shih-Lung Shaw

Frequent Co-Authors

Qingquan Li
Qingquan Li Shenzhen University
William H. K. Lam
William H. K. Lam Hong Kong Polytechnic University
Donggen Wang
Donggen Wang Hong Kong Baptist University
Daniel Z. Sui
Daniel Z. Sui The Ohio State University
Xinyue Ye
Xinyue Ye Texas A&M University
Chenghu Zhou
Chenghu Zhou Chinese Academy of Sciences
Harvey J. Miller
Harvey J. Miller The Ohio State University
Michael W. Berry
Michael W. Berry University of Tennessee at Knoxville
Qian Wang
Qian Wang Peking University

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