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Mao-Bin Hu

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Engineering and Technology 39 7733 7460 1381 1374 189 5737

Mao-Bin Hu publications per year

The chart shows the history of publications by Mao-Bin Hu between 2003 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Mao-Bin Hu published across 23 years, from 2003 to 2025, averaging 9.3 papers a year. Output peaked at 23 publications in 2009. 24 of the 215 publications appeared in the last two years.

No. of publications
5 10 15 20
Bar chart. Horizontal axis: year, 2003 to 2025. Vertical axis: number of publications, 0 to 23. Peak 23 publications in 2009. 2003: 1 publication 2004: 1 publication 2005: 5 publications 2006: 5 publications 2007: 15 publications 2008: 15 publications 2009: 23 publications 2010: 8 publications 2011: 6 publications 2012: 7 publications 2013: 6 publications 2014: 11 publications 2015: 8 publications 2016: 8 publications 2017: 10 publications 2018: 12 publications 2019: 9 publications 2020: 9 publications 2021: 6 publications 2022: 12 publications 2023: 14 publications 2024: 12 publications 2025: 12 publications
2003 2025

215 publications in total across all disciplines

View publications per year as a table
Mao-Bin Hu: publications per year, 2003 to 2025
Year Publications
2003 1
2004 1
2005 5
2006 5
2007 15
2008 15
2009 23
2010 8
2011 6
2012 7
2013 6
2014 11
2015 8
2016 8
2017 10
2018 12
2019 9
2020 9
2021 6
2022 12
2023 14
2024 12
2025 12
Total 215
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Mao-Bin Hu 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 Mao-Bin Hu sits on this spectrum.

No. of scientists
100 200 300 400
Bar chart with 78 bars. Horizontal axis: publications, 38–47 to 804+. Vertical axis: number of scientists, 0 to 457. Most scientists, 457, have 148–157 publications. The last bar groups every scientist with 804 publications or more. The highlighted bar, 188–197 publications, is where this scientist sits. 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
38–47 publications 804+

This scientist: 189 publications — 43rd percentile

43% of scientists in this discipline score the same or lower.

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

View publications distribution as a table
Number of Engineering and Technology scientists by publication count, Research.com 2026 ranking edition. Based on 9,796 ranked scientists.
Publications Scientists This scientist
38–47 20
48–57 35
58–67 96
68–77 135
78–87 190
88–97 259
98–107 283
108–117 369
118–127 341
128–137 386
138–147 372
148–157 457
158–167 415
168–177 407
178–187 421
188–197 378 189
198–207 403
208–217 317
218–227 346
228–237 321
238–247 260
248–257 280
258–267 240
268–277 214
278–287 242
288–297 203
298–307 166
308–317 154
318–327 175
328–337 159
338–347 99
348–357 131
358–367 106
368–377 118
378–387 97
388–397 108
398–407 82
408–417 71
418–427 64
428–437 55
438–447 54
448–457 60
458–467 47
468–477 40
478–487 30
488–497 29
498–507 38
508–517 40
518–527 32
528–537 23
538–547 28
548–557 23
558–567 19
568–577 16
578–587 17
588–597 18
598–607 22
608–617 15
618–627 9
628–637 11
638–647 21
648–657 12
658–667 9
668–677 11
678–687 9
688–697 6
698–707 14
708–717 7
718–727 8
728–737 10
738–747 9
748–757 5
758–767 5
768–777 11
778–787 7
788–797 2
798–803 4
804+ 100
Download as CSV

Mao-Bin Hu 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 Mao-Bin Hu sits on this spectrum.

No. of scientists
100 200 300 400
Bar chart with 78 bars. Horizontal axis: D-Index, 30 to 107+. Vertical axis: number of scientists, 0 to 426. Most scientists, 426, have 42 D-Index. The last bar groups every scientist with 107 D-Index or more. The highlighted bar, 39 D-Index, is where this scientist sits. 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: 39 D-Index — 24th percentile

24% of scientists in this discipline score the same or lower.

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

View D-Index distribution as a table
Number of Engineering and Technology scientists by D-index, Research.com 2026 ranking edition. Based on 9,796 ranked scientists.
D-Index Scientists This scientist
30 59
31 114
32 129
33 189
34 200
35 262
36 311
37 312
38 350
39 385 39
40 348
41 362
42 426
43 380
44 310
45 341
46 301
47 306
48 271
49 246
50 210
51 253
52 213
53 221
54 195
55 186
56 170
57 167
58 166
59 144
60 152
61 141
62 138
63 131
64 118
65 114
66 119
67 95
68 87
69 77
70 89
71 69
72 54
73 46
74 55
75 54
76 49
77 53
78 46
79 28
80 39
81 36
82 24
83 26
84 36
85 18
86 25
87 19
88 26
89 27
90 23
91 15
92 12
93 9
94 15
95 10
96 13
97 13
98 9
99 7
100 7
101 8
102 7
103 7
104 9
105 6
106 9
107+ 99
Download as CSV

Overview

Mao-Bin Hu is affiliated with the University of Science and Technology of China in China. The primary fields of study associated with their research are Engineering and Physics and Astronomy, with a focus on several subfields including Statistical and Nonlinear Physics, Transportation, Renewable Energy, Sustainability and the Environment, Control and Systems Engineering, and Mechanical Engineering.

The scientist's recent research contributions include a range of topics and titles published mostly between 2020 and 2022. Some notable papers include:

  • Experimental and numerical analysis of an efficiently optimized evacuated flat plate solar collector under medium temperature, 2020, Applied Energy
  • Seasonal-regulatable energy systems design and optimization for solar energy year-round utilization, 2022, Applied Energy
  • Effects of road network structure on the performance of urban traffic systems, 2020, Physica A Statistical Mechanics and its Applications
  • Develop of a fuel consumption model for hybrid vehicles, 2020, Energy Conversion and Management
  • Bicycle flow dynamics on wide roads: Experiments and simulation, 2021, Transportation Research Part C Emerging Technologies

The research topics that Mao-Bin Hu has extensively worked on include:

  • Complex Network Analysis Techniques
  • Transportation Planning and Optimization
  • Opinion Dynamics and Social Influence
  • Traffic control and management
  • COVID-19 epidemiological studies
  • Opportunistic and Delay-Tolerant Networks
  • Solar Thermal and Photovoltaic Systems

Frequent co-authors collaborating with Mao-Bin Hu include:

  • Jie Chen
  • Gang Pei
  • Congling Shi
  • Yuan-Hao Xu
  • Bin Zhao

Publications have appeared regularly in a selection of scientific journals, including:

  • Physica A Statistical Mechanics and its Applications
  • Physical Review E
  • International Journal of Modern Physics C
  • SSRN Electronic Journal
  • Energy

Best Publications

  • Detect overlapping and hierarchical community structure in networks

    Huawei Shen;Xueqi Cheng;Kai Cai;Mao-Bin Hu

  • Traffic experiment reveals the nature of car-following.

    Rui Jiang;Mao-Bin Hu;H. M. Zhang;Zi-You Gao

  • Percolation on complex networks: Theory and application

    Ming Li;Run-Ran Liu;Linyuan Lü;Linyuan Lü;Mao-Bin Hu

  • Asymmetric cost in snowdrift game on scale-free networks

    W.-B. Du;X.-B. Cao;M.-B. Hu;W.-X. Wang

  • On some experimental features of car-following behavior and how to model them

    Rui Jiang;Rui Jiang;Mao-Bin Hu;H.M. Zhang;H.M. Zhang;Zi-You Gao

  • Global dynamic routing for scale-free networks

    Xiang Ling;Mao-Bin Hu;Rui Jiang;Qing-Song Wu

  • Method to enhance traffic capacity for scale-free networks.

    Zhe Liu;Mao-Bin Hu;Rui Jiang;Wen-Xu Wang

  • Evolutionary games on scale-free networks with a preferential selection mechanism

    Wen-Bo Du;Xian-Bin Cao;Lin Zhao;Mao-Bin Hu

  • Honk Effect in the Two-Lane Cellular Automaton Model for Traffic Flow

    Bin Jia;Rui Jiang;Qing-Song Wu;Mao-bin Hu

  • Experimental and empirical investigations of traffic flow instability

    Rui Jiang;Rui Jiang;Cheng-Jie Jin;H.M. Zhang;H.M. Zhang;Yong-Xian Huang

  • Traffic flow characteristics in a mixed traffic system consisting of ACC vehicles and manual vehicles: A hybrid modelling approach

    Yao-Ming Yuan;Rui Jiang;Mao-Bin Hu;Qing-Song Wu

  • Preferential selection promotes cooperation in a spatial public goods game

    Dong-Mei Shi;Dong-Mei Shi;Han-Xin Yang;Mao-Bin Hu;Wen-Bo Du

  • Seasonal-regulatable energy systems design and optimization for solar energy year-round utilization☆

    Unknown

  • Experimental and numerical analysis of an efficiently optimized evacuated flat plate solar collector under medium temperature

    Datong Gao;Guangtao Gao;Jingyu Cao;Shuai Zhong

  • Phase transition and hysteresis in scale-free network traffic.

    Mao-Bin Hu;Wen-Xu Wang;Rui Jiang;Qing-Song Wu

  • Experimental study and modeling of car-following behavior under high speed situation

    Yong-Xian Huang;Rui Jiang;HM Zhang;Mao-Bin Hu

  • Uni- and bi-directional pedestrian flow in the view-limited condition: Experiments and modeling

    Ning Guo;Qing-Yi Hao;Rui Jiang;Mao-Bin Hu

  • Effects of expectation and noise on evolutionary games

    Wen-Bo Du;Xian-Bin Cao;Mao-Bin Hu;Han-Xin Yang

  • Urban traffic from the perspective of dual graph

    Mao-Bin Hu;Mao-Bin Hu;R. Jiang;Yong-Hong Wu;W. Wang

  • An efficient DNA-fueled molecular machine for the discrimination of single-base changes.

    Tingjie Song;Shiyan Xiao;Dongbao Yao;Fujian Huang

  • The effect of asymmetric payoff mechanism on evolutionary networked prisoner’s dilemma game

    Wen-Bo Du;Xian-Bin Cao;Mao-Bin Hu

  • Pheromone routing protocol on a scale-free network.

    Xiang Ling;Mao-Bin Hu;Rui Jiang;Ruili Wang

Frequent Co-Authors

Rui Jiang
Rui Jiang Beijing Jiaotong University
Qing-Song Wu
Qing-Song Wu University of Science and Technology of China
Yonghong Wu
Yonghong Wu Curtin University
Bing-Hong Wang
Bing-Hong Wang University of Science and Technology of China
H.M. Zhang
H.M. Zhang University of California, Davis
Xueqi Cheng
Xueqi Cheng Chinese Academy of Sciences
H. Eugene Stanley
H. Eugene Stanley Boston University
Katsuhiro Nishinari
Katsuhiro Nishinari University of Tokyo
Gang Pei
Gang Pei University of Science and Technology of China
Linyuan Lü
Linyuan Lü University of Electronic Science and Technology of China

External Links

Personal website of Mao-Bin Hu

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Rui Jiang

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Publications: 27

Xueqi Cheng

Xueqi Cheng

Chinese Academy of Sciences

Publications: 21

Attila Szolnoki

Attila Szolnoki

Hungarian Academy of Sciences

Publications: 19

Huawei Shen

Huawei Shen

Chinese Academy of Sciences

Publications: 18

Chengyi Xia

Chengyi Xia

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Publications: 17

Takashi Nagatani

Takashi Nagatani

Shizuoka University

Publications: 17

Katsuhiro Nishinari

Katsuhiro Nishinari

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Publications: 15

Hai-Jun Huang

Hai-Jun Huang

Beihang University

Publications: 15

Hai-Feng Zhang

Hai-Feng Zhang

Chinese Academy of Sciences

Publications: 13

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Publications: 13

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Martin Treiber

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Publications: 13

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Licheng Jiao

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