World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
50
Citations
7151
World Ranking
4188
National Ranking
227

Zuduo Zheng 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 Zuduo Zheng 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: 160 publications — 31st percentile

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

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

Zuduo Zheng 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 Zuduo Zheng 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: 50 D-Index — 59th percentile

59% of scientists in this discipline score the same or lower.

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

Overview

Zuduo Zheng is affiliated with the University of Queensland in Australia and has a research profile primarily centered on engineering and social sciences. Their work addresses a range of topics within transportation systems and safety, with significant contributions to subfields such as control and systems engineering, transportation, automotive engineering, safety, risk, reliability and quality, as well as building and construction.

The core themes of Zheng's research include:

  • Traffic control and management
  • Transportation planning and optimization
  • Traffic and road safety
  • Traffic prediction and management techniques
  • Autonomous vehicle technology and safety
  • Transportation and mobility innovations
  • Human-automation interaction and safety

Zheng has published extensively in a number of frequent venues. The most common publication outlets include:

  • Transportation Research Part C Emerging Technologies
  • Analytic Methods in Accident Research
  • IEEE Transactions on Intelligent Transportation Systems
  • Communications in Transportation Research
  • arXiv (Cornell University)

Recent publications by Zheng provide insight into their research focus. Key papers include:

  • "Automated vehicle-involved traffic flow studies: A survey of assumptions, models, speculations, and perspectives," 2021, Transportation Research Part C Emerging Technologies
  • "The impact of the connected environment on driving behavior and safety: A driving simulator study," 2020, Accident Analysis & Prevention
  • "About calibration of car-following dynamics of automated and human-driven vehicles: Methodology, guidelines and codes," 2021, Transportation Research Part C Emerging Technologies
  • "Assessing traffic disturbance, efficiency, and safety of the mixed traffic flow of connected vehicles and traditional vehicles by considering human factors," 2021, Transportation Research Part C Emerging Technologies
  • "Processing, assessing, and enhancing the Waymo autonomous vehicle open dataset for driving behavior research," 2021, Transportation Research Part C Emerging Technologies

Frequent collaborators contributing to Zheng's work include Md. Mazharul Haque, Yasir Ali, Anshuman Sharma, Saeed Mohammadian, and Ashish Bhaskar. These coauthors have worked on multiple projects with Zheng, reflecting ongoing research partnerships.

Best Publications

  • Recent developments and research needs in modeling lane changing

    Zhanle Zheng

  • Impact of traffic oscillations on freeway crash occurrences.

    Unknown

  • Incorporating human-factors in car-following models: A review of recent developments and research needs

    Mohammad Saifuzzaman;Zhanle Zheng

  • A behavioural car-following model that captures traffic oscillations

    Unknown

  • Applications of wavelet transform for analysis of freeway traffic: Bottlenecks, transient traffic, and traffic oscillations

    Zuduo Zheng;Soyoung Ahn;Danjue Chen;Jorge Laval

  • The effects of lane-changing on the immediate follower: Anticipation, relaxation, and change in driver characteristics

    Zhanle Zheng;Soyoung Ahn;Danjue Chen;Jorge A. Laval

  • Stability analysis methods and their applicability to car-following models in conventional and connected environments

    Jie Sun;Jie Sun;Zuduo Zheng;Jian Sun

  • Incorporating human-factors in car-following models : a review of recent developments and research needs

    Mohammad Saifuzzaman;Zuduo Zheng

  • A game theory-based approach for modelling mandatory lane-changing behaviour in a connected environment

    Yasir Ali;Zuduo Zheng;Md. Mazharul Haque;Meng Wang

  • Short-term traffic volume forecasting: A k-nearest neighbor approach enhanced by constrained linearly sewing principle component algorithm

    Zuduo Zheng;Dongcai Su

  • Freeway traffic oscillations: Microscopic analysis of formations and propagations using Wavelet Transform

    Zuduo Zheng;Soyoung Ahn;Danjue Chen;Jorge Laval

  • Automated vehicle-involved traffic flow studies: A survey of assumptions, models, speculations, and perspectives

    Haiyang Yu;Rui Jiang;Zhengbing He;Zuoduo Zheng

  • Freeway traffic oscillations : microscopic analysis of formations and propagations using Wavelet Transform

    Unknown

  • The impact of the connected environment on driving behavior and safety: a driving simulator study

    Yasir Ali;Anshuman Sharma;Md. Mazharul Haque;Zuduo Zheng

  • Impact of mobile phone use on car-following behaviour of young drivers

    Mohammad Saifuzzaman;Md. Mazharul Haque;Zuduo Zheng;Simon Washington

  • Impact of real-time traffic characteristics on freeway crash occurrence: Systematic review and meta-analysis

    Saman Roshandel;Zuduo Zheng;Simon Washington

  • Processing, assessing, and enhancing the Waymo autonomous vehicle open dataset for driving behavior research

    Unknown

  • About calibration of car-following dynamics of automated and human-driven vehicles: Methodology, guidelines and codes

    Vincenzo Punzo;Zuduo Zheng;Marcello Montanino

  • Revisiting the Task–Capability Interface model for incorporating human factors into car-following models

    Mohammad Saifuzzaman;Zuduo Zheng;Md. Mazharul Haque;Simon Washington

  • On the periodicity of traffic oscillations and capacity drop : the role of driver characteristics

    Danjue Chen;Soyoung Ahn;Jorge Laval;Zuduo Zheng

  • Assessing traffic disturbance, efficiency, and safety of the mixed traffic flow of connected vehicles and traditional vehicles by considering human factors

    Anshuman Sharma;Anshuman Sharma;Zuduo Zheng;Jiwon Kim;Ashish Bhaskar

  • Microscopic traffic hysteresis in traffic oscillations : a behavioral perspective

    Danjue Chen;Jorge Laval;Soyoung Ahn;Zuduo Zheng

  • A hazard-based duration model to quantify the impact of connected driving environment on safety during mandatory lane-changing

    Yasir Ali;Md. Mazharul Haque;Zuduo Zheng;Simon Washington

  • Connectivity’s impact on mandatory lane-changing behaviour: Evidences from a driving simulator study

    Yasir Ali;Zuduo Zheng;Md. Mazharul Haque

  • Understanding public response to a congestion charge: A random-effects ordered logit approach

    Zhanle Zheng;Zhiyuan Liu;Chuanli Liu;Nirajan Shiwakoti

  • Modelling car-following behaviour of connected vehicles with a focus on driver compliance

    Anshuman Sharma;Zuduo Zheng;Ashish Bhaskar;Md. Mazharul Haque

  • Preference heterogeneity in mode choice for car-sharing and shared automated vehicles

    Fan Zhou;Zuduo Zheng;Jake Whitehead;Simon Washington

Frequent Co-Authors

Md. Mazharul Haque
Md. Mazharul Haque Queensland University of Technology
Simon Washington
Simon Washington Queensland University of Technology
Ashish Bhaskar
Ashish Bhaskar Queensland University of Technology
Michiel C.J. Bliemer
Michiel C.J. Bliemer University of Sydney
Majid Sarvi
Majid Sarvi University of Melbourne
Yuefeng Li
Yuefeng Li Queensland University of Technology
Carlo Giacomo Prato
Carlo Giacomo Prato University of Queensland
Kejie Lu
Kejie Lu University of Puerto Rico-Mayaguez
Kui Wu
Kui Wu University of Victoria
Jianping Wang
Jianping Wang City University of Hong Kong

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