World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
41
Citations
6274
World Ranking
7019
National Ranking
1915

Yunlong Zhang 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 Yunlong Zhang 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: 165 publications — 33rd percentile

33% of scientists in this discipline score the same or lower.

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

Yunlong Zhang 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 Yunlong Zhang 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

Yunlong Zhang is affiliated with Texas A&M University in the United States. Their research spans fields primarily within Engineering and Materials Science, with specific focus on subfields such as Polymers and Plastics, Electrical and Electronic Engineering, Control and Systems Engineering, Computer Networks and Communications, and Materials Chemistry.

The scientist's work is reflected in numerous academic publications. Recent papers include:

  • An electrochemical sensor based on the modification of platinum nanoparticles and ZIF-8 membrane for the detection of ascorbic acid, 2021, Talanta
  • Route-Based Transit Signal Priority Using Connected Vehicle Technology to Promote Bus Schedule Adherence, 2020, IEEE Transactions on Intelligent Transportation Systems
  • Influence of multiply modified FeCu-montmorillonite on fire safety and mechanical performances of epoxy resin nanocomposites, 2021, Thermochimica Acta
  • Development of an environmental foamed concrete incorporating recycled cement concrete powder with carbonation, 2024, Construction and Building Materials
  • Lithium hydroxyphenyl propanesulfonate imparts composite solid polymer electrolytes with ultrahigh ionic conductivity for dendrite free lithium batteries, 2022, Chemical Engineering Journal

These papers indicate research interests that include sensor technology, traffic systems, materials for fire safety, sustainable building materials, and advanced electrolytes for lithium batteries.

Frequent coauthors of Yunlong Zhang are:

  • Qinghong Kong
  • Junhao Zhang
  • Guoguang Wen
  • Ahmed Rahmani
  • Shuai Huang

The primary venues in which Yunlong Zhang publishes include:

  • SSRN Electronic Journal
  • Accident Analysis & Prevention
  • IEEE Transactions on Electron Devices
  • Talanta
  • IEEE Transactions on Intelligent Transportation Systems

The main topics of their research are diversified but show concentration in certain areas:

  • Traffic control and management
  • Traffic Prediction and Management Techniques
  • Transportation Planning and Optimization
  • Flame retardant materials and properties
  • Distributed Control Multi-Agent Systems
  • Neural Networks Stability and Synchronization
  • Autonomous Vehicle Technology and Safety

Yunlong Zhang's work demonstrates a multi-disciplinary approach integrating engineering controls, materials design, and transportation systems management. The combination of topics shows a trajectory toward complex system optimization and the development of functional materials with practical applications in safety and technology.

Best Publications

  • Predicting motor vehicle crashes using Support Vector Machine models.

    Xiansheng Li;Dominique Lord;Yunlong Zhang;Yuanchang Xie

  • Predicting motor vehicle collisions using Bayesian neural network models: An empirical analysis

    Yuanchang Xie;Dominique Lord;Yunlong Zhang

  • Short-Term Traffic Volume Forecasting Using Kalman Filter with Discrete Wavelet Decomposition

    Yuanchang Xie;Yunlong Zhang;Zhirui Ye

  • A hybrid short-term traffic flow forecasting method based on spectral analysis and statistical volatility model

    Yanru Zhang;Yunlong Zhang;Ali Haghani

  • Crash Injury Severity Analysis Using Bayesian Ordered Probit Models

    Yuanchang Xie;Yuanchang Xie;Yunlong Zhang;Yunlong Zhang;Faming Liang;Faming Liang

  • Forecasting of Short-Term Freeway Volume with v-Support Vector Machines:

    Yunlong Zhang;Yuanchang Xie

  • Traffic flow simulation using CORSIM

    L.E. Owen;Yunlong Zhang;Lei Rao;G. McHale

  • Queue Length Estimation Using Connected Vehicle Technology for Adaptive Signal Control

    Kamonthep Tiaprasert;Yunlong Zhang;Xiubin Bruce Wang;Xiaosi Zeng

  • Short-Term Traffic Flow Forecasting Using Fuzzy Logic System Methods

    Yunlong Zhang;Zhirui Ye

  • Travel Mode Choice Modeling with Support Vector Machines

    Yunlong Zhang;Yuanchang Xie;Yuanchang Xie

  • Multiregime Approach for Microscopic Traffic Simulation

    Yunlong Zhang;Larry E. Owen;James E. Clark

  • Seasonal Autoregressive Integrated Moving Average and Support Vector Machine Models: Prediction of Short-Term Traffic Flow on Freeways

    Ning Zhang;Yunlong Zhang;Haiting Lu

  • Vehicle Type–Specific Headway Analysis Using Freeway Traffic Data

    Fan Ye;Yunlong Zhang

  • A Wavelet Network Model for Short-Term Traffic Volume Forecasting

    Yuanchang Xie;Yunlong Zhang

  • Bayesian mixture modeling approach to account for heterogeneity in speed data

    Byung-Jung Park;Yunlong Zhang;Dominique Lord

  • Development of Recurrent Neural Network Considering Temporal-Spatial Input Dynamics for Freeway Travel Time Modeling

    Xiaosi Zeng;Yunlong Zhang

  • Application of finite mixture of negative binomial regression models with varying weight parameters for vehicle crash data analysis

    Yajie Zou;Yunlong Zhang;Dominique Lord

  • Development of a driving simulator based eco-driving support system

    Xiaohua Zhao;Yiping Wu;Jian Rong;Yunlong Zhang

  • A space–time diurnal method for short-term freeway travel time prediction

    Yajie Zou;Xinxin Zhu;Yunlong Zhang;Xiaosi Zeng

  • Crash Frequency Analysis with Generalized Additive Models

    Yuanchang Xie;Yunlong Zhang

  • Crash Injury Severity Analysis Using a Bayesian Ordered Probit Model

    Yunlong Zhang;Faming Liang;Yuanchang Xie

  • Predicting Motor Vehicle Collisions Using Bayesian Neural Network Models: Empirical Analysis

    Yuanchang Xie;Dominique Lord;Yunlong Zhang

Frequent Co-Authors

Dominique Lord
Dominique Lord Texas A&M University
Qi Ying
Qi Ying Hong Kong University of Science and Technology
Kay Fitzpatrick
Kay Fitzpatrick Texas A&M University
Faming Liang
Faming Liang Purdue University West Lafayette
P. R. Kumar
P. R. Kumar Texas A&M University
Satish V. Ukkusuri
Satish V. Ukkusuri Purdue University West Lafayette
Jinjun Tang
Jinjun Tang Central South University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Best Scientists Citing Yunlong Zhang

Trending Scientists

Recently Published Articles