World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
33
Citations
3140
World Ranking
9486
National Ranking
2670

Ke Han 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 Ke Han 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: 162 publications — 32nd percentile

32% of scientists in this discipline score the same or lower.

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

Ke Han 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 Ke Han 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: 33 D-Index — 5th percentile

5% of scientists in this discipline score the same or lower.

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

Overview

Ke Han is affiliated with Florida State University in the United States and specializes in engineering, with a focus on transportation and related subfields. Their research spans multiple areas within engineering, particularly in transportation, building and construction, automotive engineering, control and systems engineering, and industrial and manufacturing engineering.

Ke Han's work extensively covers several main topics, including:

  • Transportation Planning and Optimization
  • Traffic Control and Management
  • Transportation and Mobility Innovations
  • Traffic Prediction and Management Techniques
  • Smart Parking Systems Research
  • Vehicle Emissions and Performance
  • Air Quality and Health Impacts

Their recent publications highlight investigative studies and models related to transportation systems and air quality. Selected recent papers include:

  • "Evaluating resilience in urban transportation systems for sustainability: A systems-based Bayesian network model," 2020, Transportation Research Part C Emerging Technologies
  • "Day-to-day dynamic traffic assignment with imperfect information, bounded rationality and information sharing," 2020, Transportation Research Part C Emerging Technologies
  • "Deep-MAPS: Machine-Learning-Based Mobile Air Pollution Sensing," 2020, IEEE Internet of Things Journal
  • "Matching and routing for shared autonomous vehicles in congestible network," 2021, Transportation Research Part E Logistics and Transportation Review
  • "Joint apron-runway assignment for airport surface operations," 2022, Transportation Research Part B Methodological

Ke Han has frequently published in venues such as:

  • arXiv (Cornell University)
  • Transportation Research Part C Emerging Technologies
  • Transportation Research Part E Logistics and Transportation Review
  • Transportation Research Part B Methodological
  • SSRN Electronic Journal

Collaboration is a notable aspect of Ke Han's research, with repeated joint work alongside several coauthors, including Qian Ge, Terry L. Friesz, Wen Ji, Tao Liu, and Shenglin Liu.

In addition to articles, Ke Han has contributed to scholarly books, including a publication titled Dynamic Network User Equilibrium released by Springer Nature in 2022.

Best Publications

  • Tensile properties of in situ consolidated nanocrystalline Cu

    S. Cheng;E. Ma;Y.M. Wang;L.J. Kecskes

  • Simultaneously Increasing the Ductility and Strength of Ultra-Fine-Grained Pure Copper

    Yong-Hao Zhao;John F. Bingert;Xiao-Zhou Liao;Bao-Zhi Cui

  • The fabrication, properties and microstructure of Cu–Ag and Cu–Nb composite conductors

    K. Han;J.D. Embury;J.R. Sims;L.J. Campbell

  • Dynamic traffic assignment: A review of the methodological advances for environmentally sustainable road transportation applications

    Yi Wang;Yi Wang;W.Y. Szeto;Ke Han;Terry L. Friesz

  • Microstructure and tensile properties of nanostructured Cu-25wt%Ag

    K Han;A.A Vasquez;Y Xin;P.N Kalu

  • Dynamic user equilibrium based on a hydrodynamic model

    Terry L. Friesz;Ke Han;Pedro A. Neto;Amir Meimand

  • Models for vehicular traffic on networks

    M Garavello;K Han;B Piccoli

  • Evaluating resilience in urban transportation systems for sustainability: A systems-based Bayesian network model

    Junqing Tang;Junqing Tang;Hans Rudolf Heinimann;Ke Han;Ke Han;Hanbin Luo

  • A robust optimization approach for dynamic traffic signal control with emission considerations

    Ke Han;Hongcheng Liu;Vikash V. Gayah;Terry L. Friesz

  • Existence of simultaneous route and departure choice dynamic user equilibrium

    Ke Han;Terry L. Friesz;Tao Yao

  • Formulation, existence, and computation of boundedly rational dynamic user equilibrium with fixed or endogenous user tolerance

    Ke Han;W.Y. Szeto;Terry L. Friesz

  • High strength and high electrical conductivity bulk Cu

    K. Han;R. P. Walsh;A. Ishmaku;V. Toplosky

  • Contact resistance between two REBCO tapes under load and load cycles

    Jun Lu;Robert Goddard;Ke Han;Seungyong Hahn

  • A partial differential equation formulation of Vickrey's bottleneck model, part I: Methodology and theoretical analysis

    Ke Han;Terry L. Friesz;Tao Yao

  • Highly textured and twinned Cu films fabricated by pulsed electrodeposition

    B.Z. Cui;K. Han;Y. Xin;D.R. Waryoba

  • Microstructure in Cu-Nb microcomposites

    Y Leprince-Wang;K Han;Y Huang;K Yu-Zhang

  • Lap Joint Resistance of YBCO Coated Conductors

    Jun Lu;Ke Han;W R Sheppard;Y L Viouchkov

  • Effects of vanadium additions on microstructure and hardness of hypereutectoid pearlitic steels

    K. Han;T.D. Mottishaw;G.D.W. Smith;D.V. Edmonds

  • Continuous-time link-based kinematic wave model: formulation, solution existence, and well-posedness

    Ke Han;Benedetto Piccoli;W.Y. Szeto

  • Optimization of mechanical properties of high-carbon pearlitic steels with Si and V additions

    K. Han;D. V. Edmonds;G. D. W. Smith

  • A fine discrete field cellular automaton for pedestrian dynamics integrating pedestrian heterogeneity, anisotropy, and time-dependent characteristics

    Zhijian Fu;Qihao Jia;Junmin Chen;Jian Ma

  • A partial differential equation formulation of Vickrey's bottleneck model, part II: Numerical analysis and computation

    Ke Han;Terry L. Friesz;Tao Yao

  • On the continuum approximation of the on-and-off signal control on dynamic traffic networks

    Ke Han;Vikash V. Gayah;Benedetto Piccoli;Terry L. Friesz

  • Second-order models and traffic data from mobile sensors

    Benedetto Piccoli;Ke Han;Terry L. Friesz;Tao Yao

  • Correlation of shear wave velocity with liquefaction resistance based on laboratory tests

    Unknown

  • Demand-oriented train services optimization for a congested urban rail line: integrating short turning and heterogeneous headways

    Sijie Li;Sijie Li;Ruihua Xu;Ke Han

  • Robustness analysis of the European air traffic network

    Kuang-Chang Pien;Ke Han;Wenlong Shang;Arnab Majumdar

  • Computing Dynamic User Equilibria on Large-Scale Networks with Software Implementation

    Ke Han;Gabriel Eve;Terry L. Friesz

  • Day-to-day dynamic traffic assignment with imperfect information, bounded rationality and information sharing

    Yang Yu;Ke Han;Ke Han;Washington Ochieng

  • Deep-MAPS: Machine-Learning-Based Mobile Air Pollution Sensing

    Jun Song;Ke Han;Marc E. J. Stettler

  • Optimization of vehicle and pedestrian signals at isolated intersections

    Chunhui Yu;Wanjing Ma;Ke Han;Xiaoguang Yang

  • The mathematical foundations of dynamic user equilibrium

    Terry L. Friesz;Ke Han

  • Smog chamber study on aging of combustion soot in isoprene/SO2/NOx system: Changes of mass, size, effective density, morphology and mixing state

    Kangwei Li;Linghong Chen;Ke Han;Biao Lv

Frequent Co-Authors

Terry L. Friesz
Terry L. Friesz Pennsylvania State University
Jun Lu
Jun Lu Zhejiang University
Washington Y. Ochieng
Washington Y. Ochieng Imperial College London
Theo Siegrist
Theo Siegrist Florida A&M University - Florida State University College of Engineering
Benedetto Piccoli
Benedetto Piccoli Rutgers, The State University of New Jersey
Hamid Garmestani
Hamid Garmestani Georgia Institute of Technology
J.D. Embury
J.D. Embury McMaster University
Wai Yuen Szeto
Wai Yuen Szeto University of Hong Kong
Alberto Bressan
Alberto Bressan Pennsylvania State University
Zhiping Luo
Zhiping Luo Fayetteville State University

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