World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
62
Citations
13249
World Ranking
1919
National Ranking
385

Tao Tang 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 Tao Tang 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: 376 publications — 87th percentile

87% of scientists in this discipline score the same or lower.

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

Tao Tang 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 Tao Tang 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: 62 D-Index — 81st percentile

81% of scientists in this discipline score the same or lower.

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

Overview

Tao Tang is affiliated with Beijing Jiaotong University in China and has contributed extensively to the field of engineering, particularly focused on transportation systems and railway technology. Their research encompasses a range of topics within industrial and manufacturing engineering, mechanical engineering, transportation, automotive engineering, and control and systems engineering.

The scientist's recent papers reflect diverse interests in transportation systems, operational research, and biomedical applications. Notable publications include:

  • "Hypoxia-pretreated ADSC-derived exosome-embedded hydrogels promote angiogenesis and accelerate diabetic wound healing" (2022) published in Acta Biomaterialia
  • "Timetable coordination in a rail transit network with time-dependent passenger demand" (2021) published in European Journal of Operational Research
  • "An analytical optimal control approach for virtually coupled high-speed trains with local and string stability" (2021) published in Transportation Research Part C Emerging Technologies
  • "Edge Intelligence in Intelligent Transportation Systems: A Survey" (2023) published in IEEE Transactions on Intelligent Transportation Systems
  • "Quantitative analysis for resilience-based urban rail systems: A hybrid knowledge-based and data-driven approach" (2021) published in Reliability Engineering & System Safety

Their frequent co-authors include Shuai Su, Hongjie Liu, Jiateng Yin, Li Zhu, and F. Richard Yu, each collaborating on multiple projects that have contributed to expanding knowledge in transportation and engineering disciplines.

Common publication venues for Tao Tang's work include:

  • IEEE Transactions on Intelligent Transportation Systems
  • arXiv (Cornell University)
  • Transportation Research Part C Emerging Technologies
  • IEEE Transactions on Vehicular Technology
  • Transportation Research Part B Methodological

The scientist's research mainly focuses on key areas such as:

  • Railway Systems and Energy Efficiency
  • Transportation Planning and Optimization
  • Railway Engineering and Dynamics
  • Electrical Contact Performance and Analysis
  • Traffic Prediction and Management Techniques
  • Electric and Hybrid Vehicle Technologies
  • Occupational Health and Safety Research

Tao Tang has contributed a significant body of work, with 247 publications grouped under the broad umbrella of engineering. Within this extensive portfolio, 65 publications relate specifically to industrial and manufacturing engineering, 47 focus on mechanical engineering, and 34 involve transportation topics.

The diversity of subfields and frequent collaborations reflect a multidisciplinary approach to addressing technical challenges in transportation and control systems. Research outcomes span both theoretical analyses and practical applications, highlighting a comprehensive engagement with the field's current issues and advancements.

Best Publications

  • Big Data Analytics in Intelligent Transportation Systems: A Survey

    Li Zhu;Fei Richard Yu;Yige Wang;Bin Ning

  • A Survey on Energy-Efficient Train Operation for Urban Rail Transit

    Xin Yang;Xiang Li;Bin Ning;Tao Tang

  • A Subway Train Timetable Optimization Approach Based on Energy-Efficient Operation Strategy

    Shuai Su;Xiang Li;Tao Tang;Ziyou Gao

  • Research and development of automatic train operation for railway transportation systems: A survey

    Jiateng Yin;Tao Tang;Lixing Yang;Jing Xun

  • A Cooperative Scheduling Model for Timetable Optimization in Subway Systems

    Xin Yang;Xiang Li;Ziyou Gao;Hongwei Wang

  • Dynamic passenger demand oriented metro train scheduling with energy-efficiency and waiting time minimization: Mixed-integer linear programming approaches

    Jiateng Yin;Lixing Yang;Tao Tang;Ziyou Gao

  • Energy-efficient metro train rescheduling with uncertain time-variant passenger demands: An approximate dynamic programming approach

    Jiateng Yin;Tao Tang;Lixing Yang;Ziyou Gao

  • Design of Running Grades for Energy-Efficient Train Regulation: A Case Study for Beijing Yizhuang Line

    Unknown

  • Passenger-demands-oriented train scheduling for an urban rail transit network

    Yihui Wang;Yihui Wang;Tao Tang;Bin Ning;Ton J.J. van den Boom

  • A Two-Objective Timetable Optimization Model in Subway Systems

    Xing Yang;Bin Ning;Xiang Li;Tao Tang

  • Cross-Layer Handoff Design in MIMO-Enabled WLANs for Communication-Based Train Control (CBTC) Systems

    Li Zhu;F. R. Yu;Bin Ning;Tao Tang

  • Passenger demand oriented train scheduling and rolling stock circulation planning for an urban rail transit line

    Yihui Wang;Andrea D’Ariano;Jiateng Yin;Lingyun Meng

  • An energy-efficient scheduling approach to improve the utilization of regenerative energy for metro systems

    Xin Yang;Xin Yang;Anthony Chen;Xiang Li;Bin Ning

  • Computationally Inexpensive Tracking Control of High-Speed Trains With Traction/Braking Saturation

    Qi Song;Yong-duan Song;Tao Tang;Bin Ning

  • Terminal iterative learning control based station stop control of a train

    Zhongsheng Hou;Yi Wang;Chenkun Yin;Tao Tang

  • Timetable coordination in a rail transit network with time-dependent passenger demand

    Jiateng Yin;Andrea D’Ariano;Yihui Wang;Lixing Yang

  • A Cooperative Train Control Model for Energy Saving

    Shuai Su;Tao Tang;Clive Roberts

  • Bilevel Feature Extraction-Based Text Mining for Fault Diagnosis of Railway Systems

    Feng Wang;Tianhua Xu;Tao Tang;MengChu Zhou

  • Optimization of Multitrain Operations in a Subway System

    Shuai Su;Tao Tang;Xiang Li;Ziyou Gao

  • An analytical optimal control approach for virtually coupled high-speed trains with local and string stability

    Yafei Liu;Yang Zhou;Shuai Su;Jing Xun

  • An Introduction to Parallel Control and Management for High-Speed Railway Systems

    Bin Ning;Tao Tang;Hairong Dong;Ding Wen

  • A Subway Train Timetable Optimization Approach Based on Energy-Efficient Operation Strategy

    Shuai Su;Xiang Li;Tao Tang

Frequent Co-Authors

Bin Ning
Bin Ning Beijing Jiaotong University
F. Richard Yu
F. Richard Yu Carleton University
Lixing Yang
Lixing Yang Beijing Jiaotong University
Anthony Chen
Anthony Chen Hong Kong Polytechnic University
Yongduan Song
Yongduan Song Chongqing University
Clive J. Roberts
Clive J. Roberts University of Nottingham
Bart De Schutter
Bart De Schutter Delft University of Technology
Lingjia Liu
Lingjia Liu Virginia Tech
B. De Schutter
B. De Schutter Delft University of Technology
Bin Ran
Bin Ran University of Wisconsin–Madison

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