World's Best Scientists 2026 revealed!
Hai-Jun Huang

Hai-Jun Huang

D-Index & Metrics

Engineering and Technology

D-Index
68
Citations
14422
World Ranking
1247
National Ranking
244

Hai-Jun Huang 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 Hai-Jun Huang 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: 319 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.

Hai-Jun Huang 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 Hai-Jun Huang 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: 68 D-Index — 88th percentile

88% of scientists in this discipline score the same or lower.

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

Overview

What is he best known for?

The fields of study he is best known for:

  • Statistics
  • Computer network
  • Mathematical optimization

Hai-Jun Huang mainly focuses on Traffic flow, Transport engineering, Traffic congestion, Control theory and Pedestrian. His Traffic flow research is multidisciplinary, incorporating perspectives in Applied mathematics and Operations research. His studies in Transport engineering integrate themes in fields like Mathematical model and Marginal cost.

His work carried out in the field of Traffic congestion brings together such families of science as Bottleneck, Microeconomics, Trip distribution and Road networks. He combines subjects such as Simulation, Computer simulation and Sample with his study of Pedestrian. His biological study spans a wide range of topics, including Equivalence, Dynamical system, Mathematical optimization, Uniqueness and Traffic generation model.

His most cited work include:

  • The multi-class, multi-criteria traffic network equilibrium and systems optimum problem (341 citations)
  • Mathematical and Economic Theory of Road Pricing (278 citations)
  • Modeling and solving the dynamic user equilibrium route and departure time choice problem in network with queues (214 citations)

What are the main themes of his work throughout his whole career to date?

Hai-Jun Huang mainly investigates Mathematical optimization, Transport engineering, Operations research, Simulation and Traffic flow. His studies examine the connections between Mathematical optimization and genetics, as well as such issues in Traffic congestion, with regards to Microeconomics. His work on Travel behavior, Public transport, Travel time and Mode choice is typically connected to Morning as part of general Transport engineering study, connecting several disciplines of science.

His study ties his expertise on Logit together with the subject of Operations research. His Simulation study combines topics from a wide range of disciplines, such as Pedestrian and Cellular automaton. His Traffic flow research is multidisciplinary, relying on both Flow, Stability and Control theory.

He most often published in these fields:

  • Mathematical optimization (27.36%)
  • Transport engineering (22.15%)
  • Operations research (21.50%)

What were the highlights of his more recent work (between 2016-2021)?

  • Mathematical optimization (27.36%)
  • Operations research (21.50%)
  • Traffic congestion (16.61%)

In recent papers he was focusing on the following fields of study:

Hai-Jun Huang mostly deals with Mathematical optimization, Operations research, Traffic congestion, Bottleneck and Transport engineering. His Mathematical optimization research is multidisciplinary, incorporating elements of Scheduling and Travel time. His studies deal with areas such as Function, Scheduling and Operational planning as well as Operations research.

His Traffic congestion research also works with subjects such as

  • Revenue management which connect with Parking guidance and information and Singapore Area Licensing Scheme,
  • Microeconomics that connect with fields like Mode choice. His Bottleneck study incorporates themes from Swap, Competition and Occupancy. His Public transport study in the realm of Transport engineering interacts with subjects such as Morning.

Between 2016 and 2021, his most popular works were:

  • An extended macro traffic flow model accounting for the driver’s bounded rationality and numerical tests (110 citations)
  • An optimal charging station location model with the consideration of electric vehicle’s driving range (82 citations)
  • Modeling pedestrian flow accounting for collision avoidance during evacuation (42 citations)

In his most recent research, the most cited papers focused on:

  • Statistics
  • Mathematical optimization
  • Computer network

Hai-Jun Huang focuses on Mathematical optimization, Operations research, Bottleneck, Traffic congestion and Group behavior. His Mathematical optimization study combines topics in areas such as Mathematical economics and Swap. Hai-Jun Huang interconnects Function, Car following and Dynamic pricing in the investigation of issues within Operations research.

His studies deal with areas such as Queue, Variable ratio, Profit and Road pricing as well as Bottleneck. The various areas that Hai-Jun Huang examines in his Traffic congestion study include Revenue management, Revenue and Reservation. His study looks at the intersection of Flow network and topics like Node with Traffic flow.

Best Publications

  • Mathematical and Economic Theory of Road Pricing

    Hailiang Yang;Hai-Jun Huang

  • The multi-class, multi-criteria traffic network equilibrium and systems optimum problem

    Hai Yang;Hai-Jun Huang

  • Modeling and solving the dynamic user equilibrium route and departure time choice problem in network with queues

    Hai-Jun Huang;William H.K. Lam

  • Principle of marginal-cost pricing : How does it work in a general road network ?

    Hai Yang;Hai-Jun Huang

  • An Optimal Charging Station Location Model With the Consideration of Electric Vehicle's Driving Range

    Jia He;Hai Yang;Tie-Qiao Tang;Hai-Jun Huang

  • Static floor field and exit choice for pedestrian evacuation in rooms with internal obstacles and multiple exits.

    Hai-Jun Huang;Ren-Yong Guo

  • Route choice in pedestrian evacuation under conditions of good and zero visibility: Experimental and simulation results

    Ren-Yong Guo;Hai-Jun Huang;S.C. Wong

  • Modeling time-dependent travel choice problems in road networks with multiple user classes and multiple parking facilities

    William H.K. Lam;Zhi-Chun Li;Hai-Jun Huang;S.C. Wong

  • Analysis of the time-varying pricing of a bottleneck with elastic demand using optimal control theory

    Hai Yang;Huang Hai-Jun

  • Influences of the driver’s bounded rationality on micro driving behavior, fuel consumption and emissions

    Tie-Qiao Tang;Hai-Jun Huang;Hua-Yan Shang

  • A mobile lattice gas model for simulating pedestrian evacuation

    R.Y. Guo;H.J. Huang

  • A combined trip distribution and assignment model for multiple user classes

    William H.K. Lam;Hai-Jun Huang

  • A multiclass, multicriteria logit-based traffic equilibrium assignment model under ATIS

    Hai-Jun Huang;Zhi-Chun Li

  • Integrated daily commuting patterns and optimal road tolls and parking fees in a linear city

    Xiaoning Zhang;Hai-Jun Huang;H.M. Zhang;H.M. Zhang

  • Improving travel efficiency by parking permits distribution and trading

    Xiaoning Zhang;Hai Yang;Hai-Jun Huang

  • FARES AND TOLLS IN A COMPETITIVE SYSTEM WITH TRANSIT AND HIGHWAY: THE CASE WITH TWO GROUPS OF COMMUTERS

    H-J Huang

  • Tradable credit schemes for managing bottleneck congestion and modal split with heterogeneous users

    Li-Jun Tian;Li-Jun Tian;Hai Yang;Hai-Jun Huang

  • A new car-following model with the consideration of the driver's forecast effect

    T.Q. Tang;C.Y. Li;H.J. Huang

  • Carpooling and congestion pricing in a multilane highway with high-occupancy-vehicle lanes

    Hai Yang;Hai-Jun Huang

  • Fifty years of the bottleneck model: A bibliometric review and future research directions

    Zhi-Chun Li;Hai-Jun Huang;Hai Yang

  • An extended macro traffic flow model accounting for the driver’s bounded rationality and numerical tests

    Tie-Qiao Tang;Hai-Jun Huang;Hua-Yan Shang

Frequent Co-Authors

Tie-Qiao Tang
Tie-Qiao Tang Beihang University
Hai Yang
Hai Yang Hong Kong University of Science and Technology
William H. K. Lam
William H. K. Lam Hong Kong Polytechnic University
Sze Chun Wong
Sze Chun Wong University of Hong Kong
Wai Yuen Szeto
Wai Yuen Szeto University of Hong Kong
Harry Timmermans
Harry Timmermans Eindhoven University of Technology
Yonghong Wu
Yonghong Wu Curtin University
H.M. Zhang
H.M. Zhang University of California, Davis
Hjp Harry Timmermans
Hjp Harry Timmermans Eindhoven University of Technology
TA Theo Arentze
TA Theo Arentze Eindhoven University of Technology

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