World's Best Scientists 2026 revealed!
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Hai Yang
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Engineering and Technology
China
2026

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Engineering and Technology 94 208 196 34 33 475 33513

Hai Yang publications per year

The chart shows the history of publications by Hai Yang between 1981 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Hai Yang published across 45 years, from 1981 to 2025, averaging 15.5 papers a year. Output peaked at 79 publications in 2023. 75 of the 699 publications appeared in the last two years.

No. of publications
25 50 75
Bar chart. Horizontal axis: year, 1981 to 2025. Vertical axis: number of publications, 0 to 79. Peak 79 publications in 2023. 1981: 1 publication 1982: 0 publications 1983: 0 publications 1984: 0 publications 1985: 0 publications 1986: 0 publications 1987: 0 publications 1988: 1 publication 1989: 3 publications 1990: 4 publications 1991: 9 publications 1992: 6 publications 1993: 5 publications 1994: 5 publications 1995: 6 publications 1996: 3 publications 1997: 7 publications 1998: 21 publications 1999: 20 publications 2000: 14 publications 2001: 17 publications 2002: 21 publications 2003: 15 publications 2004: 25 publications 2005: 28 publications 2006: 9 publications 2007: 12 publications 2008: 16 publications 2009: 15 publications 2010: 25 publications 2011: 13 publications 2012: 18 publications 2013: 13 publications 2014: 27 publications 2015: 20 publications 2016: 15 publications 2017: 17 publications 2018: 18 publications 2019: 23 publications 2020: 23 publications 2021: 26 publications 2022: 44 publications 2023: 79 publications 2024: 38 publications 2025: 37 publications
1981 2025

699 publications in total across all disciplines

View publications per year as a table
Hai Yang: publications per year, 1981 to 2025
Year Publications
1981 1
1982 0
1983 0
1984 0
1985 0
1986 0
1987 0
1988 1
1989 3
1990 4
1991 9
1992 6
1993 5
1994 5
1995 6
1996 3
1997 7
1998 21
1999 20
2000 14
2001 17
2002 21
2003 15
2004 25
2005 28
2006 9
2007 12
2008 16
2009 15
2010 25
2011 13
2012 18
2013 13
2014 27
2015 20
2016 15
2017 17
2018 18
2019 23
2020 23
2021 26
2022 44
2023 79
2024 38
2025 37
Total 699
Download as CSV

Hai Yang 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 Hai Yang 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, 468–477 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: 475 publications — 94th percentile

94% 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
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 40 475
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

Hai Yang 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 Hai Yang 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, 94 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: 94 D-Index — 98th percentile

98% 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
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 94
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

Research.com Recognitions

  • 2026 - Research.com Engineering and Technology in China Leader Award
  • 2025 - Research.com Engineering and Technology in China Leader Award

Overview

Hai Yang is affiliated with the Hong Kong University of Science and Technology in China. Their research focuses extensively on engineering and social sciences, with a particular concentration on transportation and mobility-related topics. Their work spans subfields such as transportation, automotive engineering, building and construction, marketing, and molecular biology.

The main themes of Hai Yang's research include:

  • Transportation and Mobility Innovations
  • Transportation Planning and Optimization
  • Sharing Economy and Platforms
  • Traffic Prediction and Management Techniques
  • Urban Transport and Accessibility
  • Human Mobility and Location-Based Analysis
  • Traffic control and management

Hai Yang has published a notable number of research papers related to these areas. Among the recent publications are:

  • "Pricing and equilibrium in on-demand ride-pooling markets," 2020, Transportation Research Part B Methodological
  • "Fifty years of the bottleneck model: A bibliometric review and future research directions," 2020, Transportation Research Part B Methodological
  • "Mitigate the range anxiety: Siting battery charging stations for electric vehicle drivers," 2020, Transportation Research Part C Emerging Technologies
  • "On ride-pooling and traffic congestion," 2020, Transportation Research Part B Methodological
  • "Learning to Delay in Ride-Sourcing Systems: A Multi-Agent Deep Reinforcement Learning Framework," 2020, IEEE Transactions on Knowledge and Data Engineering

Their collaborations include frequent coauthors such as Jintao Ke, Zheng Zhu, Li Zhang, Siyuan Feng, and Wei Liu. The partnership with these researchers has contributed to a broad output of publications.

Hai Yang's work is predominantly published in journals and venues that specialize in transportation and technology research. These frequent publication outlets include:

  • Transportation Research Part C Emerging Technologies
  • Transportation Research Part B Methodological
  • SSRN Electronic Journal
  • Transportation Research Part E Logistics and Transportation Review
  • arXiv (Cornell University)

The scientist's contributions cover various aspects of transportation systems, including ride-pooling dynamics, vehicle charging infrastructure, traffic congestion analysis, and the application of multi-agent reinforcement learning to ride-sourcing systems. Their research intersects technical, operational, and social dimensions of transportation networks.

Best Publications

  • Urban Computing: Concepts, Methodologies, and Applications

    Yu Zheng;Licia Capra;Ouri Wolfson;Hai Yang

  • Models and algorithms for road network design: a review and some new developments

    Hai Yang;Michael G. H. Bell

  • Capacity reliability of a road network: an assessment methodology and numerical results

    Anthony Chen;Hai Yang;Hong Kam Lo;Wilson H. Tang

  • Short-term forecasting of passenger demand under on-demand ride services: A spatio-temporal deep learning approach

    Jintao Ke;Hongyu Zheng;Hai Yang;Xiqun (Michael) Chen

  • Alternating Direction Method with Self-Adaptive Penalty Parameters for Monotone Variational Inequalities

    B. S. He;H. Yang;S. L. Wang

  • Estimation of origin-destination matrices from link traffic counts on congested networks

    Hai Yang;Tsuna Sasaki;Yasunori Iida;Yasuo Asakura

  • Ridesourcing systems: A framework and review

    Hai Wang;Hai Wang;Hai Yang

  • A new inexact alternating directions method for monotone variational inequalities

    Bingsheng He;Li-Zhi Liao;Deren Han;Hai Yang

  • The multi-class, multi-criteria traffic network equilibrium and systems optimum problem

    Hai Yang;Hai-Jun Huang

  • A capacity related reliability for transportation networks

    Anthony Chen;Hai Yang;Hong Kam Lo;Wilson Hon Chung Tang

  • TRAFFIC RESTRAINT, ROAD PRICING AND NETWORK EQUILIBRIUM

    Hai Yang;Michael G.H Bell

  • Optimal traffic counting locations for origin–destination matrix estimation

    Hai Yang;Jing Zhou

  • Managing network mobility with tradable credits

    Hai Yang;Xiaolei Wang

  • Resilience of Transportation Systems: Concepts and Comprehensive Review

    Yaoming Zhou;Junwei Wang;Hai Yang

  • Economic Analysis of Ride-sourcing Markets

    Liteng Zha;Yafeng Yin;Hai Yang

  • Principle of marginal-cost pricing : How does it work in a general road network ?

    Hai Yang;Hai-Jun Huang

  • RESERVE CAPACITY OF A SIGNAL-CONTROLLED ROAD NETWORK

    Sze Chun Wong;Hai Yang

  • A NETWORK MODEL OF URBAN TAXI SERVICES

    Hai Yang;Sze Chun Wong

  • 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 stochastic user equilibrium assignment model for congested transit networks

    William H.K. Lam;Z Y Gao;K S Chan;Hai Yang

  • An equivalent continuously differentiable model and a locally convergent algorithm for the continuous network design problem

    Qiang Meng;Hai Yang;Michael G. H. Bell

  • The optimal cordon-based network congestion pricing problem

    Xiaoning Zhang;Hai Yang

  • ACM Transactions on Intelligent Systems and Technology - Special Section on Urban Computing

    Y Zheng;L Capra;O Wolfson;H Yang

Frequent Co-Authors

Sze Chun Wong
Sze Chun Wong University of Hong Kong
Hai-Jun Huang
Hai-Jun Huang Beihang University
Wei Liu
Wei Liu University of Technology Sydney
Qiang Meng
Qiang Meng National University of Singapore
Deren Han
Deren Han Nanjing Normal University
Yafeng Yin
Yafeng Yin University of Michigan–Ann Arbor
Hong Kam Lo
Hong Kam Lo Hong Kong University of Science and Technology
Michael G.H. Bell
Michael G.H. Bell University of Sydney
Bingsheng He
Bingsheng He Nanjing University
Jieping Ye
Jieping Ye Alibaba Group (China)

External Links

Personal website of Hai Yang Google Scholar page

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Best Scientists Citing Hai Yang

William H. K. Lam

William H. K. Lam

Hong Kong Polytechnic University

Publications: 139

Anthony Chen

Anthony Chen

Hong Kong Polytechnic University

Publications: 107

Hai-Jun Huang

Hai-Jun Huang

Beihang University

Publications: 100

Sze Chun Wong

Sze Chun Wong

University of Hong Kong

Publications: 91

Wai Yuen Szeto

Wai Yuen Szeto

University of Hong Kong

Publications: 88

Agachai Sumalee

Agachai Sumalee

Chulalongkorn University

Publications: 77

Hong Kam Lo

Hong Kam Lo

Hong Kong University of Science and Technology

Publications: 62

Yafeng Yin

Yafeng Yin

University of Michigan–Ann Arbor

Publications: 57

Yu Zheng

Yu Zheng

Jingdong (China)

Publications: 52

S. Travis Waller

S. Travis Waller

University of New South Wales

Publications: 50

Qiang Meng

Qiang Meng

National University of Singapore

Publications: 50

Zhiyuan Liu

Zhiyuan Liu

Southeast University

Publications: 47

Satish V. Ukkusuri

Satish V. Ukkusuri

Purdue University West Lafayette

Publications: 46

Erik T. Verhoef

Erik T. Verhoef

Vrije Universiteit Amsterdam

Publications: 46

Deren Han

Deren Han

Nanjing Normal University

Publications: 38

David M Levinson

David M Levinson

University of Sydney

Publications: 30

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