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Tie-Qiao Tang

Tie-Qiao Tang

Beihang University
China

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Mechanical and Aerospace Engineering 51 1139 1048 140 140 133 7074

Tie-Qiao Tang publications per year

The chart shows the history of publications by Tie-Qiao Tang between 2005 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Tie-Qiao Tang published across 21 years, from 2005 to 2025, averaging 9 papers a year. Output peaked at 23 publications in 2018. 37 of the 190 publications appeared in the last two years.

No. of publications
5 10 15 20
Bar chart. Horizontal axis: year, 2005 to 2025. Vertical axis: number of publications, 0 to 23. Peak 23 publications in 2018. 2005: 1 publication 2006: 1 publication 2007: 3 publications 2008: 4 publications 2009: 5 publications 2010: 6 publications 2011: 4 publications 2012: 10 publications 2013: 4 publications 2014: 9 publications 2015: 11 publications 2016: 8 publications 2017: 15 publications 2018: 23 publications 2019: 16 publications 2020: 8 publications 2021: 9 publications 2022: 5 publications 2023: 11 publications 2024: 16 publications 2025: 21 publications
2005 2025

190 publications in total across all disciplines

View publications per year as a table
Tie-Qiao Tang: publications per year, 2005 to 2025
Year Publications
2005 1
2006 1
2007 3
2008 4
2009 5
2010 6
2011 4
2012 10
2013 4
2014 9
2015 11
2016 8
2017 15
2018 23
2019 16
2020 8
2021 9
2022 5
2023 11
2024 16
2025 21
Total 190
Download as CSV

Tie-Qiao Tang publications per year - data summary

  • Tie-Qiao Tang, a Mechanical and Aerospace Engineering scholar from Beihang University, has 190 publications recorded across 21 years, from 2005 to 2025.
  • The oldest publication on record dates to 2005 and the most recent to 2025.
  • The most productive year is 2018, with 23 publications.
  • The least productive years with any output are 2005 and 2006, with 1 publication each.
  • The rate of publication averages 9.0 papers per year over the whole span, or 9.0 per year counting only the 21 years with at least one publication.
  • The last 5 years on the chart (2021-2025) hold 62 publications, 33% of the career total.
  • Split into equal eras - 2005-2011: 24 publications (3.4 per year); 2012-2018: 80 publications (11.4 per year); 2019-2025: 86 publications (12.3 per year).
  • Comparing the opening and closing eras, the overall trend of publication is rising.

Tie-Qiao Tang publication distribution in Mechanical and Aerospace Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Mechanical and Aerospace Engineering in 2026. The highlighted bar marks where Tie-Qiao Tang sits on this spectrum.

No. of scientists
50 100 150
Bar chart with 63 bars. Horizontal axis: publications, 47–56 to 659+. Vertical axis: number of scientists, 0 to 155. Most scientists, 155, have 147–156 publications. The last bar groups every scientist with 659 publications or more. The highlighted bar, 127–136 publications, is where this scientist sits. 47–56 publications: 10 scientists 57–66 publications: 23 scientists 67–76 publications: 32 scientists 77–86 publications: 62 scientists 87–96 publications: 67 scientists 97–106 publications: 91 scientists 107–116 publications: 113 scientists 117–126 publications: 115 scientists 127–136 publications: 130 scientists 137–146 publications: 140 scientists 147–156 publications: 155 scientists 157–166 publications: 132 scientists 167–176 publications: 133 scientists 177–186 publications: 130 scientists 187–196 publications: 140 scientists 197–206 publications: 115 scientists 207–216 publications: 125 scientists 217–226 publications: 117 scientists 227–236 publications: 99 scientists 237–246 publications: 92 scientists 247–256 publications: 100 scientists 257–266 publications: 95 scientists 267–276 publications: 88 scientists 277–286 publications: 77 scientists 287–296 publications: 74 scientists 297–306 publications: 74 scientists 307–316 publications: 62 scientists 317–326 publications: 70 scientists 327–336 publications: 59 scientists 337–346 publications: 58 scientists 347–356 publications: 45 scientists 357–366 publications: 44 scientists 367–376 publications: 36 scientists 377–386 publications: 41 scientists 387–396 publications: 32 scientists 397–406 publications: 23 scientists 407–416 publications: 28 scientists 417–426 publications: 27 scientists 427–436 publications: 25 scientists 437–446 publications: 23 scientists 447–456 publications: 23 scientists 457–466 publications: 20 scientists 467–476 publications: 12 scientists 477–486 publications: 24 scientists 487–496 publications: 18 scientists 497–506 publications: 12 scientists 507–516 publications: 13 scientists 517–526 publications: 21 scientists 527–536 publications: 12 scientists 537–546 publications: 8 scientists 547–556 publications: 16 scientists 557–566 publications: 3 scientists 567–576 publications: 11 scientists 577–586 publications: 6 scientists 587–596 publications: 5 scientists 597–606 publications: 6 scientists 607–616 publications: 7 scientists 617–626 publications: 7 scientists 627–636 publications: 10 scientists 637–646 publications: 4 scientists 647–656 publications: 3 scientists 657–658 publications: 2 scientists 659+ publications: 100 scientists
47–56 publications 659+

This scientist: 133 publications — 17th percentile

17% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 659 publications or more.

View publications distribution as a table
Number of Mechanical and Aerospace Engineering scientists by publication count, Research.com 2026 ranking edition. Based on 3,445 ranked scientists.
Publications Scientists This scientist
47–56 10
57–66 23
67–76 32
77–86 62
87–96 67
97–106 91
107–116 113
117–126 115
127–136 130 133
137–146 140
147–156 155
157–166 132
167–176 133
177–186 130
187–196 140
197–206 115
207–216 125
217–226 117
227–236 99
237–246 92
247–256 100
257–266 95
267–276 88
277–286 77
287–296 74
297–306 74
307–316 62
317–326 70
327–336 59
337–346 58
347–356 45
357–366 44
367–376 36
377–386 41
387–396 32
397–406 23
407–416 28
417–426 27
427–436 25
437–446 23
447–456 23
457–466 20
467–476 12
477–486 24
487–496 18
497–506 12
507–516 13
517–526 21
527–536 12
537–546 8
547–556 16
557–566 3
567–576 11
577–586 6
587–596 5
597–606 6
607–616 7
617–626 7
627–636 10
637–646 4
647–656 3
657–658 2
659+ 100
Download as CSV

Tie-Qiao Tang publication distribution in Mechanical and Aerospace Engineering in 2026 - data summary

  • The chart plots the publication count of all 3,445 Mechanical and Aerospace Engineering scientists ranked by Research.com in 2026, grouped into 63 ranges running from 47–56 to 659+ publications.
  • Tie-Qiao Tang, a Mechanical and Aerospace Engineering scholar from Beihang University, records 133 publications - the 17th percentile of the discipline.
  • 17% of ranked Mechanical and Aerospace Engineering scientists score the same or lower than Tie-Qiao Tang, and about 83% score higher.
  • The median of the discipline falls in the 217–226 publications range, and Tie-Qiao Tang ranks below the median.
  • The most crowded range is 147–156 publications, holding 155 scientists (4% of the field).
  • 46% of the field sits in the lowest quarter of the value range (up to 197–206 publications), so the distribution leans towards the lower end of the scale.
  • The final bar has no upper bound: it groups every scientist with 659 publications or more, 100 scientists in all (3% of the field).

Tie-Qiao Tang D-index placement in Mechanical and Aerospace Engineering in 2026

The chart shows the D-index (discipline H-index) distribution of Mechanical and Aerospace Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Tie-Qiao Tang sits on this spectrum.

No. of scientists
50 100 150
Bar chart with 64 bars. Horizontal axis: D-Index, 30 to 93+. Vertical axis: number of scientists, 0 to 189. Most scientists, 189, have 34 D-Index. The last bar groups every scientist with 93 D-Index or more. The highlighted bar, 51 D-Index, is where this scientist sits. 30 D-Index: 83 scientists 31 D-Index: 113 scientists 32 D-Index: 144 scientists 33 D-Index: 153 scientists 34 D-Index: 189 scientists 35 D-Index: 158 scientists 36 D-Index: 139 scientists 37 D-Index: 127 scientists 38 D-Index: 130 scientists 39 D-Index: 126 scientists 40 D-Index: 104 scientists 41 D-Index: 100 scientists 42 D-Index: 107 scientists 43 D-Index: 101 scientists 44 D-Index: 103 scientists 45 D-Index: 79 scientists 46 D-Index: 88 scientists 47 D-Index: 70 scientists 48 D-Index: 83 scientists 49 D-Index: 44 scientists 50 D-Index: 64 scientists 51 D-Index: 56 scientists 52 D-Index: 50 scientists 53 D-Index: 48 scientists 54 D-Index: 58 scientists 55 D-Index: 52 scientists 56 D-Index: 48 scientists 57 D-Index: 42 scientists 58 D-Index: 34 scientists 59 D-Index: 42 scientists 60 D-Index: 37 scientists 61 D-Index: 42 scientists 62 D-Index: 44 scientists 63 D-Index: 22 scientists 64 D-Index: 33 scientists 65 D-Index: 29 scientists 66 D-Index: 23 scientists 67 D-Index: 29 scientists 68 D-Index: 24 scientists 69 D-Index: 19 scientists 70 D-Index: 34 scientists 71 D-Index: 26 scientists 72 D-Index: 19 scientists 73 D-Index: 18 scientists 74 D-Index: 19 scientists 75 D-Index: 14 scientists 76 D-Index: 19 scientists 77 D-Index: 8 scientists 78 D-Index: 18 scientists 79 D-Index: 16 scientists 80 D-Index: 12 scientists 81 D-Index: 17 scientists 82 D-Index: 11 scientists 83 D-Index: 16 scientists 84 D-Index: 7 scientists 85 D-Index: 9 scientists 86 D-Index: 8 scientists 87 D-Index: 6 scientists 88 D-Index: 6 scientists 89 D-Index: 7 scientists 90 D-Index: 10 scientists 91 D-Index: 4 scientists 92 D-Index: 4 scientists 93+ D-Index: 100 scientists
30 D-Index 93+

This scientist: 51 D-Index — 69th percentile

69% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 93 D-Index or more.

View D-Index distribution as a table
Number of Mechanical and Aerospace Engineering scientists by D-index, Research.com 2026 ranking edition. Based on 3,445 ranked scientists.
D-Index Scientists This scientist
30 83
31 113
32 144
33 153
34 189
35 158
36 139
37 127
38 130
39 126
40 104
41 100
42 107
43 101
44 103
45 79
46 88
47 70
48 83
49 44
50 64
51 56 51
52 50
53 48
54 58
55 52
56 48
57 42
58 34
59 42
60 37
61 42
62 44
63 22
64 33
65 29
66 23
67 29
68 24
69 19
70 34
71 26
72 19
73 18
74 19
75 14
76 19
77 8
78 18
79 16
80 12
81 17
82 11
83 16
84 7
85 9
86 8
87 6
88 6
89 7
90 10
91 4
92 4
93+ 100
Download as CSV

Tie-Qiao Tang D-index placement in Mechanical and Aerospace Engineering in 2026 - data summary

  • The chart plots the discipline H-index (D-index) of all 3,445 Mechanical and Aerospace Engineering scientists ranked by Research.com in 2026, grouped into 64 ranges running from 30 to 93+ D-Index.
  • Tie-Qiao Tang, a Mechanical and Aerospace Engineering scholar from Beihang University, records 51 D-Index - the 69th percentile of the discipline.
  • 69% of ranked Mechanical and Aerospace Engineering scientists score the same or lower than Tie-Qiao Tang, and about 31% score higher.
  • The median of the discipline falls in the 43 D-Index range, and Tie-Qiao Tang ranks above the median.
  • The most crowded range is 34 D-Index, holding 189 scientists (5% of the field).
  • 57% of the field sits in the lowest quarter of the value range (up to 45 D-Index), so the distribution is heavily right-skewed and high scores are rare.
  • The final bar has no upper bound: it groups every scientist with 93 D-Index or more, 100 scientists in all (3% of the field).

Overview

Tie-Qiao Tang is a researcher affiliated with Beihang University in China, specializing in engineering with a focus on automotive and transportation engineering. Their body of work spans various aspects of transportation systems, vehicle control, and safety.

The researcher has contributed to fields including:

  • Automotive Engineering
  • Transportation
  • Ocean Engineering
  • Control and Systems Engineering
  • Safety, Risk, Reliability and Quality

Tang's research encompasses several main topics, such as:

  • Evacuation and Crowd Dynamics
  • Traffic Control and Management
  • Traffic and Road Safety
  • Transportation Planning and Optimization
  • Autonomous Vehicle Technology and Safety
  • Air Traffic Management and Optimization
  • Aviation Industry Analysis and Trends

Recent papers authored or co-authored by Tang illustrate an emphasis on vehicle control models and traffic systems. Selected publications include:

  • "ATAC-Based Car-Following Model for Level 3 Autonomous Driving Considering Driver's Acceptance," 2021, IEEE Transactions on Intelligent Transportation Systems
  • "Car-Following Model Based on Deep Learning and Markov Theory," 2020, Journal of Transportation Engineering Part A Systems

Other notable works from close collaborators or within the same research field encompass topics related to eco-driving and electric vehicle control:

  • "Eco-driving control for connected and automated electric vehicles at signalized intersections with wireless charging," 2020, Applied Energy
  • "An eco-driving strategy for electric vehicle based on the powertrain," 2021, Applied Energy
  • "Battery electricity bus charging schedule considering bus journey's energy consumption estimation," 2022, Transportation Research Part D Transport and Environment

Tang frequently collaborates with several researchers, including:

  • Jian Zhang
  • Tao Wang
  • Chuan-Zhi Xie
  • Liang Chen
  • Botao Zhang

The majority of Tang's publications have appeared in venues such as:

  • SSRN Electronic Journal
  • Journal of Advanced Transportation
  • Journal of Transportation Engineering Part A Systems
  • Simulation Modelling Practice and Theory
  • Journal of Transportation Safety & Security

The research output primarily consists of engineering-focused studies that aim to address issues related to vehicle automation, traffic safety, and energy-efficient transportation technologies.

Best Publications

  • 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

  • A new car-following model with consideration of inter-vehicle communication

    Tieqiao Tang;Weifang Shi;Huayan Shang;Yunpeng Wang

  • 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 new car-following model accounting for varying road condition

    Tieqiao Tang;Yunpeng Wang;Xiaobao Yang;Yonghong Wu

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

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

  • Joint analysis of the spatial impacts of built environment on car ownership and travel mode choice

    Chuan Ding;Yunpeng Wang;Tieqiao Tang;Sabyasachee Mishra

  • 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

  • An extended two-lane car-following model accounting for inter-vehicle communication

    Hui Ou;Tie-Qiao Tang

  • A speed guidance model accounting for the driver's bounded rationality at a signalized intersection

    Tie-Qiao Tang;Jian Zhang;Kai Liu

  • A car-following model accounting for the driver’s attribution

    Tie-Qiao Tang;Jia He;Shi-Chun Yang;Hua-Yan Shang

  • An extended car-following model with consideration of the reliability of inter-vehicle communication

    Tie-Qiao Tang;Wei-Fang Shi;Hua-Yan Shang;Yun-Peng Wang

  • A new dynamic model for heterogeneous traffic flow

    T.Q. Tang;H.J. Huang;S.G. Zhao;H.Y. Shang

  • Stability of the car-following model on two lanes.

    Tie-Qiao Tang;Hai-Jun Huang;Zi-You Gao

  • A car-following model with real-time road conditions and numerical tests

    T.Q. Tang;J.G. Li;H.J. Huang;X.B. Yang

  • A new macro model with consideration of the traffic interruption probability

    T.Q. Tang;H.J. Huang;G. Xu

  • A new car-following model with consideration of roadside memorial

    T. Tang;T. Tang;Yong Hong Wu;Louis Caccetta;H. Huang

  • An aircraft boarding model accounting for passengers' individual properties

    Tie-Qiao Tang;Tie-Qiao Tang;Yong-Hong Wu;Hai-Jun Huang;Lou Caccetta

  • A new fundamental diagram theory with the individual difference of the driver's perception ability

    Tieqiao Tang;Chuanyao Li;Haijun Huang;Huayan Shang

  • A speed guidance strategy for multiple signalized intersections based on car-following model

    Tie-Qiao Tang;Zhi-Yan Yi;Jian Zhang;Tao Wang

  • A new macro model for traffic flow with the consideration of the driver's forecast effect

    T.Q. Tang;H.J. Huang;H.Y. Shang

  • An evacuation model accounting for elementary students’ individual properties

    Tie-Qiao Tang;Liang Chen;Ren-Yong Guo;Hua-Yan Shang

  • Impact of the honk effect on the stability of traffic flow

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

  • Modeling electric bicycle’s lane-changing and retrograde behaviors

    Tie-Qiao Tang;Xiao-Feng Luo;Jian Zhang;Liang Chen

Frequent Co-Authors

Hai-Jun Huang
Hai-Jun Huang Beihang University
Yonghong Wu
Yonghong Wu Curtin University
Sze Chun Wong
Sze Chun Wong University of Hong Kong
Hai Yang
Hai Yang Hong Kong University of Science and Technology
Xiaobo Qu
Xiaobo Qu Xiamen University
H.M. Zhang
H.M. Zhang University of California, Davis

External Links

Google Scholar page

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Related Online Degrees & Career Pathways

For students interested in Mechanical and Aerospace Engineering, exploring related fields can broaden career opportunities. For instance, understanding the different types of counseling degrees can be beneficial for those aiming to enter human factors engineering or occupational safety roles, where strong interpersonal skills are essential. This knowledge helps in choosing a path that combines technical expertise with human-centered design.

Considering the easiest counseling degree options may appeal to engineers who want to supplement their technical background with soft skills without committing to longer programs. Online degrees can provide flexible learning schedules, allowing professionals to upskill while working.

For those considering advanced certifications, enrolling in a BCBA accelerated program in applied behavior analysis could open doors in specialized engineering fields such as robotics or AI-driven systems, where behavioral insights can enhance design and user interaction.

Finally, understanding the requirements for graduate studies, as outlined in the SLP grad school section, offers valuable insights for engineers aiming to pivot toward speech-language pathology or interdisciplinary research involving communication technologies. Knowing acceptance rates and prerequisites can help plan a smoother transition.

Best Scientists Citing Tie-Qiao Tang

Zhongke Shi

Zhongke Shi

Northwestern Polytechnical University

Publications: 31

Takashi Nagatani

Takashi Nagatani

Shizuoka University

Publications: 31

Rui Jiang

Rui Jiang

Beijing Jiaotong University

Publications: 22

Siuming Lo

Siuming Lo

City University of Hong Kong

Publications: 16

Yu Xue

Yu Xue

Nanjing University of Information Science and Technology

Publications: 15

Hai-Jun Huang

Hai-Jun Huang

Beihang University

Publications: 9

Majid Sarvi

Majid Sarvi

University of Melbourne

Publications: 8

Bin Ran

Bin Ran

University of Wisconsin–Madison

Publications: 8

Weiguo Song

Weiguo Song

University of Science and Technology of China

Publications: 7

Srinivas Peeta

Srinivas Peeta

Georgia Institute of Technology

Publications: 6

Katsuhiro Nishinari

Katsuhiro Nishinari

University of Tokyo

Publications: 6

Sze Chun Wong

Sze Chun Wong

University of Hong Kong

Publications: 6

Toshiyuki Yamamoto

Toshiyuki Yamamoto

Nagoya University

Publications: 5

Bing-Hong Wang

Bing-Hong Wang

University of Science and Technology of China

Publications: 5

Jian Ma

Jian Ma

City University of Hong Kong

Publications: 5

Martin Treiber

Martin Treiber

TU Dresden

Publications: 4

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Marc A. Anderson

Marc A. Anderson

University of Wisconsin–Madison

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Byeongdu Lee

Argonne National Laboratory

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Bert Vogelstein

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Tibor Kristian

University of Maryland, Baltimore

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Michael Butler

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