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Jun Liang

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Engineering and Technology 54 3242 3102 211 197 306 9900

Jun Liang publications per year

The chart shows the history of publications by Jun Liang between 1998 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Jun Liang published across 29 years, from 1998 to 2026, averaging 20.2 papers a year. Output peaked at 81 publications in 2025. 83 of the 585 publications appeared in the last two years.

No. of publications
20 40 60 80
Bar chart. Horizontal axis: year, 1998 to 2026. Vertical axis: number of publications, 0 to 81. Peak 81 publications in 2025. 1998: 2 publications 1999: 2 publications 2000: 0 publications 2001: 0 publications 2002: 5 publications 2003: 4 publications 2004: 3 publications 2005: 3 publications 2006: 3 publications 2007: 3 publications 2008: 2 publications 2009: 5 publications 2010: 5 publications 2011: 11 publications 2012: 8 publications 2013: 9 publications 2014: 18 publications 2015: 19 publications 2016: 41 publications 2017: 37 publications 2018: 26 publications 2019: 38 publications 2020: 29 publications 2021: 27 publications 2022: 69 publications 2023: 65 publications 2024: 68 publications 2025: 81 publications 2026: 2 publications
1998 2026

585 publications in total across all disciplines

View publications per year as a table
Jun Liang: publications per year, 1998 to 2026
Year Publications
1998 2
1999 2
2000 0
2001 0
2002 5
2003 4
2004 3
2005 3
2006 3
2007 3
2008 2
2009 5
2010 5
2011 11
2012 8
2013 9
2014 18
2015 19
2016 41
2017 37
2018 26
2019 38
2020 29
2021 27
2022 69
2023 65
2024 68
2025 81
2026 2
Total 585
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Jun Liang 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 Jun Liang 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, 298–307 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: 306 publications — 77th percentile

77% 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
298–307 166 306
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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Jun Liang 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 Jun Liang 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, 54 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: 54 D-Index — 68th percentile

68% 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 54
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

Jun Liang is affiliated with Cardiff University in the United Kingdom and has a significant research footprint within the field of Engineering, with 670 publications in total. Their work primarily spans the subfields of Electrical and Electronic Engineering, Mechanics of Materials, Mechanical Engineering, Aerospace Engineering, and Control and Systems Engineering.

The scientist's research encompasses multiple specialized topics, notably:

  • HVDC Systems and Fault Protection
  • Mechanical Behavior of Composites
  • Metamaterials and Metasurfaces Applications
  • Microgrid Control and Optimization
  • High-Voltage Power Transmission Systems
  • Advanced Antenna and Metasurface Technologies
  • Multilevel Inverters and Converters

Jun Liang has contributed to recent academic papers in diverse areas, including:

  • "Guidelines for the Diagnosis and Treatment of Primary Liver Cancer (2022 Edition)" (2023) published in Liver Cancer
  • "Tailoring planar slip to achieve pure metal-like ductility in body-centred-cubic multi-principal element alloys" (2023) published in Nature Materials
  • "Calibration-free, high-precision, and robust terahertz ultrafast metasurfaces for monitoring gastric cancers" (2022) published in Proceedings of the National Academy of Sciences
  • "Radiative cooling for passive thermal management towards sustainable carbon neutrality" (2022) published in National Science Review
  • "Dynamic deformation behaviors and mechanisms of CoCrFeNi high-entropy alloys" (2023) published in Acta Materialia

The scientist frequently publishes in several venues, with the most common being:

  • SSRN Electronic Journal
  • IEEE Transactions on Power Delivery
  • Polymer Composites
  • Research Square (Research Square)
  • arXiv (Cornell University)

Frequent collaborators in Jun Liang's research include Jingran Ge, Guodong Fang, Yaoqiang Wang, Gen Li, and Shuo Liu, reflecting consistent partnerships across multiple projects.

Best Publications

  • A Review of Lithium-Ion Battery for Electric Vehicle Applications and Beyond

    Weidong Chen;Jun Liang;Zhaohua Yang;Gen Li

  • Topologies of multiterminal HVDC-VSC transmission for large offshore wind farms

    O. Gomis-Bellmunt;Jun Liang;Janaka Bandara Ekanayake;Rosemary King

  • A New Reaching Law for Antidisturbance Sliding-Mode Control of PMSM Speed Regulation System

    Yaoqiang Wang;Yutao Feng;Xiaoguang Zhang;Jun Liang

  • Operation and Control of Multiterminal HVDC Transmission for Offshore Wind Farms

    Jun Liang;Tianjun Jing;O. Gomis-Bellmunt;J. Ekanayake

  • Hvdc Grids: For Offshore and Supergrid of the Future

    Dirk Van Hertem;Oriol Gomis-Bellmunt;Jun Liang

  • Modified Phase-Shifted PWM Control for Flying Capacitor Multilevel Converters

    Chunmei Feng;Jun Liang;V.G. Agelidis

  • H/sup /spl infin// repetitive control of DC-AC converters in microgrids

    G. Weiss;Qing-Chang Zhong;T.C. Green;Jun Liang

  • Voltage-current characteristics of multiterminal HVDC-VSC for offshore wind farms

    O. Gomis-Bellmunt;Jun Liang;Janaka Bandara Ekanayake;Nicholas Jenkins

  • A Method to Improve the Dynamic Performance of Moving Average Filter-Based PLL

    Jinyu Wang;Jun Liang;Feng Gao;Li Zhang

  • Fast Frequency Response From Offshore Multiterminal VSC–HVDC Schemes

    Oluwole Daniel Adeuyi;Marc Cheah-Mane;Jun Liang;Nick Jenkins

  • Power flow control devices in DC grids

    Qing Mu;Jun Liang;Yalou Li;Xiaoxin Zhou

  • Short-term wind power combined forecasting based on error forecast correction

    Unknown

  • Control of multi-terminal VSC-HVDC transmission for offshore wind power

    Jun Liang;Oriol Gomis-Bellmunt;Janaka Ekanayake;Nicholas Jenkins

  • $H^infty$ Control of the Neutral Point in Four-Wire Three-Phase DC–AC Converters

    Q.-C. Zhong;J. Liang;G. Weiss;Chunmei Feng

  • Multi-timescale Active Distribution Network Scheduling Considering Demand Response and User Comprehensive Satisfaction

    Unknown

  • Analysis of Single-Phase-to-Ground Faults at the Valve-Side of HB-MMCs in HVDC Systems

    Gen Li;Jun Liang;Fan Ma;Carlos E. Ugalde-Loo

  • Sliding mode control of uncertain linear discrete time systems with input delay

    Y. Q. Xia;G. P. Liu;P. Shi;J. Chen

  • Coordination of MMCs With Hybrid DC Circuit Breakers for HVDC Grid Protection

    Sheng Wang;Chuanyue Li;Oluwole Daniel Adeuyi;Gen Li

  • Converting AC Distribution Lines to DC to Increase Transfer Capacities and DG Penetration

    Lu Zhang;Jun Liang;Wei Tang;Gen Li

  • Coordinated Day-Ahead Reactive Power Dispatch in Distribution Network Based on Real Power Forecast Errors

    Lu Zhang;Wei Tang;Jun Liang;Pengwei Cong

  • Battery ESS Planning for Wind Smoothing via Variable-Interval Reference Modulation and Self-Adaptive SOC Control Strategy

    Feng Zhang;Ke Meng;Zhao Xu;Zhaoyang Dong

  • Increasing Voltage Utilization in Split-Link, Four-Wire Inverters

    Jun Liang;T.C. Green;Chunmei Feng;G. Weiss

  • Optimal operation of integrated energy system considering dynamic heat-gas characteristics and uncertain wind power

    Xi Chen;Chengfu Wang;Qiuwei Wu;Xiaoming Dong

  • Hybrid control of multiple inverters in an island-mode distribution system

    J. Liang;T.C. Green;G. Weiss;Q.-C. Zhong

  • Reliability Analysis of MMCs Considering Submodule Designs with Individual or Series-Operated IGBTs

    Jingli Guo;Jun Liang;Xiaotian Zhang;Paul D. Judge

Frequent Co-Authors

Nick Jenkins
Nick Jenkins Cardiff University
Oriol Gomis-Bellmunt
Oriol Gomis-Bellmunt Universitat Politècnica de Catalunya
Janaka Ekanayake
Janaka Ekanayake University of Peradeniya
Tim C. Green
Tim C. Green Imperial College London
George Weiss
George Weiss Tel Aviv University
Qing-Chang Zhong
Qing-Chang Zhong Illinois Institute of Technology
Dirk Van Hertem
Dirk Van Hertem KU Leuven
Vassilios G. Agelidis
Vassilios G. Agelidis Democritus University of Thrace
Jianzhong Wu
Jianzhong Wu Cardiff University
Xavier Guillaud
Xavier Guillaud University of Lille

External Links

Personal website of Jun Liang

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Related Online Degrees & Career Pathways

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If you are aiming for upper-management roles, earning an mba programs in operations management online is an excellent way to expand your understanding of workflow optimization and strategic planning. Alternatively, an organizational management degree online focuses on leadership, change management, and effective communication—skills highly valued in any tech-driven organization.

Many schools now offer flexible graduate business degrees, with some online mba without gmat requirements, making advanced study accessible to busy professionals. By exploring these related pathways, you can tailor your education to fit your interests and career goals in the ever-evolving field of engineering and technology.

Best Scientists Citing Jun Liang

Oriol Gomis-Bellmunt

Oriol Gomis-Bellmunt

Universitat Politècnica de Catalunya

Publications: 77

Eduardo Prieto-Araujo

Eduardo Prieto-Araujo

Universitat Politècnica de Catalunya

Publications: 33

Qing-Chang Zhong

Qing-Chang Zhong

Illinois Institute of Technology

Publications: 24

Pedro Rodriguez

Pedro Rodriguez

Luxembourg Institute of Science and Technology

Publications: 23

Alvaro Luna

Alvaro Luna

Universitat Politècnica de Catalunya

Publications: 21

Josep Pou

Josep Pou

City University of Hong Kong

Publications: 19

Lie Xu

Lie Xu

University of Strathclyde

Publications: 19

Xu Cai

Xu Cai

Shanghai Jiao Tong University

Publications: 18

Mike Barnes

Mike Barnes

University of Manchester

Publications: 17

Pavol Bauer

Pavol Bauer

Delft University of Technology

Publications: 17

Jinyu Wen

Jinyu Wen

Huazhong University of Science and Technology

Publications: 16

Andreas Sumper

Andreas Sumper

Universitat Politècnica de Catalunya

Publications: 15

Vassilios G. Agelidis

Vassilios G. Agelidis

Democritus University of Thrace

Publications: 14

Zhe Chen

Zhe Chen

Aalborg University

Publications: 14

Ahmed M. Massoud

Ahmed M. Massoud

Qatar University

Publications: 14

Gevork B. Gharehpetian

Gevork B. Gharehpetian

Amirkabir University of Technology

Publications: 13

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