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D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Engineering and Technology 39 7732 7459 1380 1373 141 5751

Zhenhong Lin publications per year

The chart shows the history of publications by Zhenhong Lin between 2004 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Zhenhong Lin published across 22 years, from 2004 to 2025, averaging 6.9 papers a year. Output peaked at 20 publications in 2020. 23 of the 152 publications appeared in the last two years.

No. of publications
5 10 15 20
Bar chart. Horizontal axis: year, 2004 to 2025. Vertical axis: number of publications, 0 to 20. Peak 20 publications in 2020. 2004: 2 publications 2005: 8 publications 2006: 3 publications 2007: 0 publications 2008: 3 publications 2009: 1 publication 2010: 5 publications 2011: 3 publications 2012: 6 publications 2013: 3 publications 2014: 7 publications 2015: 3 publications 2016: 5 publications 2017: 17 publications 2018: 11 publications 2019: 10 publications 2020: 20 publications 2021: 8 publications 2022: 7 publications 2023: 7 publications 2024: 5 publications 2025: 18 publications
2004 2025

152 publications in total across all disciplines

View publications per year as a table
Zhenhong Lin: publications per year, 2004 to 2025
Year Publications
2004 2
2005 8
2006 3
2007 0
2008 3
2009 1
2010 5
2011 3
2012 6
2013 3
2014 7
2015 3
2016 5
2017 17
2018 11
2019 10
2020 20
2021 8
2022 7
2023 7
2024 5
2025 18
Total 152
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Zhenhong Lin 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 Zhenhong Lin 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, 138–147 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: 141 publications — 23rd percentile

23% 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
138–147 372 141
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
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
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Zhenhong Lin 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 Zhenhong Lin 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
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Overview

Zhenhong Lin is affiliated with the South China University of Technology in China and has a substantial publication record primarily focused on engineering, with a particular emphasis on automotive engineering, electrical and electronic engineering, and renewable energy, sustainability, and the environment.

Their work encompasses several subfields including transportation, economics, and econometrics. Zhenhong Lin's research topics reflect a strong emphasis on electric vehicles and infrastructure, energy and environmental policies related to transportation, advanced battery technologies, vehicle emissions and performance, transportation and mobility innovations, electric and hybrid vehicle technologies, and transportation planning and optimization.

Notable recent papers by Zhenhong Lin include:

  • Challenges in the designing, planning and deployment of hydrogen refueling infrastructure for fuel cell electric vehicles, 2020, eTransportation
  • Modeling charging infrastructure impact on the electric vehicle market in China, 2020, Transportation Research Part D Transport and Environment
  • Greenhouse gas consequences of the China dual credit policy, 2020, Nature Communications
  • Machine learning model to project the impact of COVID-19 on US motor gasoline demand, 2020, Nature Energy
  • Range cost-effectiveness of plug-in electric vehicle for heterogeneous consumers: An expanded total ownership cost approach, 2020, Applied Energy

Zhenhong Lin has collaborated frequently with several co-authors including Shiqi Ou, Xin He, Jessey Bouchard, Steven Przesmitzki, and Zifeng Lü. The most frequent collaborations have been with Shiqi Ou and Xin He, reflecting joint research efforts in related fields.

The scientist's work has been published in various venues, frequently appearing in:

  • Transportation Research Part D Transport and Environment
  • Applied Energy
  • iScience
  • Joule
  • Journal of Cleaner Production

Best Publications

  • Charging infrastructure planning for promoting battery electric vehicles: An activity-based approach using multiday travel data

    Jing Dong;Changzheng Liu;Zhenhong Lin

  • Battery capacity and recharging needs for electric buses in city transit service

    Zhiming Gao;Zhenhong Lin;Tim J. LaClair;Changzheng Liu

  • Improving the behavioral realism of global integrated assessment models: An application to consumers’ vehicle choices

    David L. McCollum;David L. McCollum;Charlie Wilson;Hazel Pettifor;Kalai Ramea

  • Seasonal effects on electric vehicle energy consumption and driving range: A case study on personal, taxi, and ridesharing vehicles

    Xu Hao;Hewu Wang;Zhenhong Lin;Minggao Ouyang

  • Interaction of consumer preferences and climate policies in the global transition to low-carbon vehicles

    David L. McCollum;David L. McCollum;Charlie Wilson;Charlie Wilson;Michela Bevione;Samuel Carrara

  • Promoting the Market for Plug-in Hybrid and Battery Electric Vehicles: Role of Recharge Availability

    Zhenhong Lin;David L Greene

  • The Fuel-Travel-Back Approach to Hydrogen Station Siting

    Zhenhong Lin;Joan Ogden;Yueyue Fan;Chien-Wei Chen

  • What drives the market for plug-in electric vehicles? - A review of international PEV market diffusion models

    Till Gnann;Thomas S. Stephens;Zhenhong Lin;Patrick Plötz

  • The dual-credit policy: Quantifying the policy impact on plug-in electric vehicle sales and industry profits in China

    Shiqi Ou;Zhenhong Lin;Liang Qi;Jie Li

  • Long-term strategic planning of inter-city fast charging infrastructure for battery electric vehicles

    Fei Xie;Changzheng Liu;Shengyin Li;Zhenhong Lin

  • Modeling charging behavior of battery electric vehicle drivers: A cumulative prospect theory based approach

    Liang Hu;Jing Dong;Zhenhong Lin

  • Comprehensive Total Cost of Ownership Quantification for Vehicles with Different Size Classes and Powertrains

    Andrew Burnham;David Gohlke;Luke Rush;Thomas Stephens

  • Estimated Bounds and Important Factors for Fuel Use and Consumer Costs of Connected and Automated Vehicles

    T. S. Stephens;Jeff Gonder;Yuche Chen;Z. Lin

  • Light-duty plug-in electric vehicles in China: An overview on the market and its comparisons to the United States

    Shiqi Ou;Xu Hao;Zhenhong Lin;Hewu Wang

  • Within-Day Recharge of Plug-In Hybrid Electric Vehicles: Energy Impact of Public Charging Infrastructure

    Jing Dong;Zhenhong Lin

  • Modeling charging infrastructure impact on the electric vehicle market in China

    Shiqi Ou;Zhenhong Lin;Xin He;Steven Przesmitzki

  • Optimizing and Diversifying Electric Vehicle Driving Range for U.S. Drivers

    Zhenhong Lin

  • Understanding the linkage between electric vehicle charging network coverage and charging opportunity using GPS travel data

    Eleftheria Kontou;Changzheng Liu;Fei Xie;Xing Wu

  • Analyzing battery electric vehicle feasibility from taxi travel patterns: The case study of New York City, USA

    Liang Hu;Jing Dong;Zhenhong Lin;Jie Yang

  • Techno-economic comparison of electrification for heavy-duty trucks in China by 2040

    Unknown

  • The least-cost hydrogen for Southern California

    Zhenhong Lin;Chien-Wei Chen;Joan Ogden;Yueyue Fan

  • Estimation of Energy Use by Plug-In Hybrid Electric Vehicles; Validating Gamma Distribution for Representing Random Daily Driving Distance

    Zhenhong Lin;Jing Dong;Changzheng Liu;David L Greene

  • Machine learning model to project the impact of COVID-19 on US motor gasoline demand

    Shiqi Ou;Xin He;Weiqi Ji;Wei Chen

  • Plug-In Hybrid Electric Vehicle Market Introduction Study: Final Report

    Karen Sikes;Thomas Gross;Zhenhong Lin;John Sullivan

  • Author Correction: Machine learning model to project the impact of COVID-19 on US motor gasoline demand

    Shiqi Ou;Xin He;Weiqi Ji;Wei Chen

Frequent Co-Authors

Joan M. Ogden
Joan M. Ogden University of California, Davis
Daniel Sperling
Daniel Sperling University of Haifa
David L. Greene
David L. Greene University of Tennessee at Knoxville
Keywan Riahi
Keywan Riahi International Institute for Applied Systems Analysis
David L. McCollum
David L. McCollum Oak Ridge National Laboratory
Zifeng Lu
Zifeng Lu Argonne National Laboratory
Detlef P. van Vuuren
Detlef P. van Vuuren Utrecht University
Volker Krey
Volker Krey International Institute for Applied Systems Analysis
Hewu Wang
Hewu Wang Tsinghua University
Yafeng Yin
Yafeng Yin University of Michigan–Ann Arbor

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