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Ke Meng

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Electronics and Electrical Engineering 54 2309 2215 77 75 244 10129

Ke Meng publications per year

The chart shows the history of publications by Ke Meng between 2006 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Ke Meng published across 20 years, from 2006 to 2025, averaging 16.4 papers a year. Output peaked at 38 publications in 2019. 37 of the 327 publications appeared in the last two years.

No. of publications
10 20 30
Bar chart. Horizontal axis: year, 2006 to 2025. Vertical axis: number of publications, 0 to 38. Peak 38 publications in 2019. 2006: 4 publications 2007: 3 publications 2008: 0 publications 2009: 5 publications 2010: 16 publications 2011: 5 publications 2012: 10 publications 2013: 11 publications 2014: 9 publications 2015: 17 publications 2016: 29 publications 2017: 34 publications 2018: 30 publications 2019: 38 publications 2020: 29 publications 2021: 14 publications 2022: 13 publications 2023: 23 publications 2024: 19 publications 2025: 18 publications
2006 2025

327 publications in total across all disciplines

View publications per year as a table
Ke Meng: publications per year, 2006 to 2025
Year Publications
2006 4
2007 3
2008 0
2009 5
2010 16
2011 5
2012 10
2013 11
2014 9
2015 17
2016 29
2017 34
2018 30
2019 38
2020 29
2021 14
2022 13
2023 23
2024 19
2025 18
Total 327
Download as CSV

Ke Meng publications per year - data summary

  • Ke Meng, a Electronics and Electrical Engineering scholar from University of New South Wales, has 327 publications recorded across 20 years, from 2006 to 2025.
  • The oldest publication on record dates to 2006 and the most recent to 2025.
  • The most productive year is 2019, with 38 publications.
  • The least productive year with any output is 2007, with 3 publications.
  • 1 of the 20 years in the span carries no publications at all (2008).
  • The rate of publication averages 16.4 papers per year over the whole span, or 17.2 per year counting only the 19 years with at least one publication.
  • The last 5 years on the chart (2021-2025) hold 87 publications, 27% of the career total.
  • Split into equal eras - 2006-2012: 43 publications (6.1 per year); 2013-2019: 168 publications (24.0 per year); 2020-2025: 116 publications (19.3 per year).
  • Comparing the opening and closing eras, the overall trend of publication is rising.

Ke Meng publication distribution in Electronics and Electrical Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Electronics and Electrical Engineering in 2026. The highlighted bar marks where Ke Meng sits on this spectrum.

No. of scientists
100 200 300 400
Bar chart with 53 bars. Horizontal axis: publications, 34–53 to 1,065+. Vertical axis: number of scientists, 0 to 445. Most scientists, 445, have 174–193 publications. The last bar groups every scientist with 1,065 publications or more. The highlighted bar, 234–253 publications, is where this scientist sits. 34–53 publications: 24 scientists 54–73 publications: 52 scientists 74–93 publications: 114 scientists 94–113 publications: 203 scientists 114–133 publications: 269 scientists 134–153 publications: 355 scientists 154–173 publications: 403 scientists 174–193 publications: 445 scientists 194–213 publications: 430 scientists 214–233 publications: 431 scientists 234–253 publications: 399 scientists 254–273 publications: 366 scientists 274–293 publications: 335 scientists 294–313 publications: 300 scientists 314–333 publications: 276 scientists 334–353 publications: 250 scientists 354–373 publications: 214 scientists 374–393 publications: 187 scientists 394–413 publications: 152 scientists 414–433 publications: 169 scientists 434–453 publications: 147 scientists 454–473 publications: 111 scientists 474–493 publications: 117 scientists 494–513 publications: 103 scientists 514–533 publications: 99 scientists 534–553 publications: 92 scientists 554–573 publications: 75 scientists 574–593 publications: 58 scientists 594–613 publications: 69 scientists 614–633 publications: 50 scientists 634–653 publications: 62 scientists 654–673 publications: 54 scientists 674–693 publications: 44 scientists 694–713 publications: 37 scientists 714–733 publications: 28 scientists 734–753 publications: 26 scientists 754–773 publications: 26 scientists 774–793 publications: 19 scientists 794–813 publications: 23 scientists 814–833 publications: 20 scientists 834–853 publications: 16 scientists 854–873 publications: 20 scientists 874–893 publications: 11 scientists 894–913 publications: 11 scientists 914–933 publications: 16 scientists 934–953 publications: 13 scientists 954–973 publications: 10 scientists 974–993 publications: 11 scientists 994–1,013 publications: 9 scientists 1,014–1,033 publications: 9 scientists 1,034–1,053 publications: 10 scientists 1,054–1,064 publications: 6 scientists 1,065+ publications: 99 scientists
34–53 publications 1,065+

This scientist: 244 publications — 43rd percentile

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

The last bar groups every scientist with 1,065 publications or more.

View publications distribution as a table
Number of Electronics and Electrical Engineering scientists by publication count, Research.com 2026 ranking edition. Based on 6,875 ranked scientists.
Publications Scientists This scientist
34–53 24
54–73 52
74–93 114
94–113 203
114–133 269
134–153 355
154–173 403
174–193 445
194–213 430
214–233 431
234–253 399 244
254–273 366
274–293 335
294–313 300
314–333 276
334–353 250
354–373 214
374–393 187
394–413 152
414–433 169
434–453 147
454–473 111
474–493 117
494–513 103
514–533 99
534–553 92
554–573 75
574–593 58
594–613 69
614–633 50
634–653 62
654–673 54
674–693 44
694–713 37
714–733 28
734–753 26
754–773 26
774–793 19
794–813 23
814–833 20
834–853 16
854–873 20
874–893 11
894–913 11
914–933 16
934–953 13
954–973 10
974–993 11
994–1,013 9
1,014–1,033 9
1,034–1,053 10
1,054–1,064 6
1,065+ 99
Download as CSV

Ke Meng publication distribution in Electronics and Electrical Engineering in 2026 - data summary

  • The chart plots the publication count of all 6,875 Electronics and Electrical Engineering scientists ranked by Research.com in 2026, grouped into 53 ranges running from 34–53 to 1,065+ publications.
  • Ke Meng, a Electronics and Electrical Engineering scholar from University of New South Wales, records 244 publications - the 43rd percentile of the discipline.
  • 43% of ranked Electronics and Electrical Engineering scientists score the same or lower than Ke Meng, and about 57% score higher.
  • The median of the discipline falls in the 254–273 publications range, and Ke Meng ranks below the median.
  • The most crowded range is 174–193 publications, holding 445 scientists (6% of the field).
  • 60% of the field sits in the lowest quarter of the value range (up to 294–313 publications), so the distribution is heavily right-skewed and high scores are rare.
  • The final bar has no upper bound: it groups every scientist with 1,065 publications or more, 99 scientists in all (1% of the field).

Ke Meng D-index placement in Electronics and Electrical Engineering in 2026

The chart shows the D-index (discipline H-index) distribution of Electronics and Electrical Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Ke Meng sits on this spectrum.

No. of scientists
50 100 150 200 250
Bar chart with 82 bars. Horizontal axis: D-Index, 30 to 111+. Vertical axis: number of scientists, 0 to 263. Most scientists, 263, have 32 D-Index. The last bar groups every scientist with 111 D-Index or more. The highlighted bar, 54 D-Index, is where this scientist sits. 30 D-Index: 178 scientists 31 D-Index: 257 scientists 32 D-Index: 263 scientists 33 D-Index: 262 scientists 34 D-Index: 244 scientists 35 D-Index: 236 scientists 36 D-Index: 211 scientists 37 D-Index: 220 scientists 38 D-Index: 214 scientists 39 D-Index: 214 scientists 40 D-Index: 205 scientists 41 D-Index: 187 scientists 42 D-Index: 194 scientists 43 D-Index: 201 scientists 44 D-Index: 155 scientists 45 D-Index: 189 scientists 46 D-Index: 148 scientists 47 D-Index: 160 scientists 48 D-Index: 134 scientists 49 D-Index: 130 scientists 50 D-Index: 141 scientists 51 D-Index: 156 scientists 52 D-Index: 108 scientists 53 D-Index: 130 scientists 54 D-Index: 112 scientists 55 D-Index: 97 scientists 56 D-Index: 111 scientists 57 D-Index: 102 scientists 58 D-Index: 108 scientists 59 D-Index: 120 scientists 60 D-Index: 103 scientists 61 D-Index: 93 scientists 62 D-Index: 92 scientists 63 D-Index: 74 scientists 64 D-Index: 77 scientists 65 D-Index: 73 scientists 66 D-Index: 64 scientists 67 D-Index: 69 scientists 68 D-Index: 60 scientists 69 D-Index: 39 scientists 70 D-Index: 57 scientists 71 D-Index: 59 scientists 72 D-Index: 46 scientists 73 D-Index: 49 scientists 74 D-Index: 38 scientists 75 D-Index: 35 scientists 76 D-Index: 32 scientists 77 D-Index: 35 scientists 78 D-Index: 31 scientists 79 D-Index: 22 scientists 80 D-Index: 34 scientists 81 D-Index: 31 scientists 82 D-Index: 34 scientists 83 D-Index: 23 scientists 84 D-Index: 18 scientists 85 D-Index: 30 scientists 86 D-Index: 19 scientists 87 D-Index: 19 scientists 88 D-Index: 20 scientists 89 D-Index: 8 scientists 90 D-Index: 17 scientists 91 D-Index: 7 scientists 92 D-Index: 14 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 12 scientists 97 D-Index: 10 scientists 98 D-Index: 10 scientists 99 D-Index: 12 scientists 100 D-Index: 16 scientists 101 D-Index: 5 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 8 scientists 105 D-Index: 9 scientists 106 D-Index: 13 scientists 107 D-Index: 4 scientists 108 D-Index: 5 scientists 109 D-Index: 10 scientists 110 D-Index: 8 scientists 111+ D-Index: 96 scientists
30 D-Index 111+

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 111 D-Index or more.

View D-Index distribution as a table
Number of Electronics and Electrical Engineering scientists by D-index, Research.com 2026 ranking edition. Based on 6,875 ranked scientists.
D-Index Scientists This scientist
30 178
31 257
32 263
33 262
34 244
35 236
36 211
37 220
38 214
39 214
40 205
41 187
42 194
43 201
44 155
45 189
46 148
47 160
48 134
49 130
50 141
51 156
52 108
53 130
54 112 54
55 97
56 111
57 102
58 108
59 120
60 103
61 93
62 92
63 74
64 77
65 73
66 64
67 69
68 60
69 39
70 57
71 59
72 46
73 49
74 38
75 35
76 32
77 35
78 31
79 22
80 34
81 31
82 34
83 23
84 18
85 30
86 19
87 19
88 20
89 8
90 17
91 7
92 14
93 9
94 15
95 10
96 12
97 10
98 10
99 12
100 16
101 5
102 7
103 7
104 8
105 9
106 13
107 4
108 5
109 10
110 8
111+ 96
Download as CSV

Ke Meng D-index placement in Electronics and Electrical Engineering in 2026 - data summary

  • The chart plots the discipline H-index (D-index) of all 6,875 Electronics and Electrical Engineering scientists ranked by Research.com in 2026, grouped into 82 ranges running from 30 to 111+ D-Index.
  • Ke Meng, a Electronics and Electrical Engineering scholar from University of New South Wales, records 54 D-Index - the 68th percentile of the discipline.
  • 68% of ranked Electronics and Electrical Engineering scientists score the same or lower than Ke Meng, and about 32% score higher.
  • The median of the discipline falls in the 46 D-Index range, and Ke Meng ranks above the median.
  • The most crowded range is 32 D-Index, holding 263 scientists (4% of the field).
  • 60% of the field sits in the lowest quarter of the value range (up to 50 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 111 D-Index or more, 96 scientists in all (1% of the field).

Overview

Ke Meng is affiliated with the University of New South Wales in Australia and works primarily in the field of Engineering, with a focus on Electrical and Electronic Engineering. Their research covers a broad range of topics related to energy systems and smart grid technologies.

Their main areas of study include:

  • Microgrid Control and Optimization
  • Smart Grid Energy Management
  • Optimal Power Flow Distribution
  • Electric Vehicles and Infrastructure
  • Quantum and Electron Transport Phenomena
  • Power System Optimization and Stability
  • Power System Reliability and Maintenance

Ke Meng has co-authored extensively with a group of frequent collaborators, including:

  • Zhao Yang Dong (17 publications together)
  • Zhaoyang Dong (8 publications together)
  • Xiangnan Sun (8 publications together)
  • Xianrong Gu (7 publications together)
  • Lidan Guo (7 publications together)

Their research outputs have been published in several key venues, notable among these are:

  • Advanced Materials (6 publications)
  • 2020 International Conference on Smart Grids and Energy Systems (SGES) (5 publications)
  • SSRN Electronic Journal (5 publications)
  • International Journal of Electrical Power & Energy Systems (4 publications)
  • IEEE Transactions on Power Systems (4 publications)

Some of their recent papers include:

  • "A review of evolutionary policy incentives for sustainable development of electric vehicles in China: Strategic implications," 2020, Energy Policy
  • "Economic Dispatch of Integrated Energy Systems With Robust Thermal Comfort Management," 2020, IEEE Transactions on Sustainable Energy
  • "Integrated distribution expansion planning considering stochastic renewable energy resources and electric vehicles," 2020, Applied Energy
  • "A multi-disaster-scenario distributionally robust planning model for enhancing the resilience of distribution systems," 2020, International Journal of Electrical Power & Energy Systems
  • "Robust Regional Coordination of Inverter-Based Volt/Var Control via Multi-Agent Deep Reinforcement Learning," 2021, IEEE Transactions on Smart Grid

Best Publications

  • Electric Vehicle Battery Charging/Swap Stations in Distribution Systems: Comparison Study and Optimal Planning

    Yu Zheng;Zhao Yang Dong;Yan Xu;Ke Meng

  • A Multi-Objective Collaborative Planning Strategy for Integrated Power Distribution and Electric Vehicle Charging Systems

    Weifeng Yao;Junhua Zhao;Fushuan Wen;Zhaoyang Dong

  • Quantum-Inspired Particle Swarm Optimization for Valve-Point Economic Load Dispatch

    Ke Meng;Hong Gang Wang;ZhaoYang Dong;Kit Po Wong

  • Optimal Allocation of Energy Storage System for Risk Mitigation of DISCOs With High Renewable Penetrations

    Yu Zheng;Zhao Yang Dong;Feng Ji Luo;Ke Meng

  • Electricity Price Forecasting With Extreme Learning Machine and Bootstrapping

    Xia Chen;Zhao Yang Dong;Ke Meng;Yan Xu

  • Coordinated Operational Planning for Wind Farm With Battery Energy Storage System

    Fengji Luo;Ke Meng;Zhao Yang Dong;Yu Zheng

  • Quantum-Inspired Particle Swarm Optimization for Power System Operations Considering Wind Power Uncertainty and Carbon Tax in Australia

    Fang Yao;Zhao Yang Dong;Ke Meng;Zhao Xu

  • Low Carbon Oriented Expansion Planning of Integrated Gas and Power Systems

    Jing Qiu;Zhao Yang Dong;Jun Hua Zhao;Ke Meng

  • A review of evolutionary policy incentives for sustainable development of electric vehicles in China: Strategic implications

    Yang Andrew Wu;Artie W. Ng;Zichao Yu;Jie Huang

  • Two-stage energy management for networked microgrids with high renewable penetration

    Dongxiao Wang;Jing Qiu;Luke Reedman;Ke Meng

  • Short-term load forecasting of Australian National Electricity Market by an ensemble model of extreme learning machine

    Rui Zhang;Zhao Yang Dong;Yan Xu;Ke Meng

  • Online Distributed MPC-Based Optimal Scheduling for EV Charging Stations in Distribution Systems

    Yu Zheng;Yue Song;David J. Hill;Ke Meng

  • A comprehensive review of variable renewable energy levelized cost of electricity

    Wei Shen;Xi Chen;Jing Qiu;Jennifier A Hayward

  • Stochastic Collaborative Planning of Electric Vehicle Charging Stations and Power Distribution System

    Shu Wang;Zhao Yang Dong;Fengji Luo;Ke Meng

  • A Self-Adaptive RBF Neural Network Classifier for Transformer Fault Analysis

    Ke Meng;Zhao Yang Dong;Dian Hui Wang;Kit Po Wong

  • Real-time transient stability assessment model using extreme learning machine

    Y. Xu;Z.Y. Dong;K. Meng;R. Zhang

  • Optimal allocation of battery energy storage systems in distribution networks with high wind power penetration

    Yongxi Zhang;Zhao Yang Dong;Fengji Luo;Yu Zheng

  • Optimal scheduling of distributed energy resources as a virtual power plant in a transactive energy framework

    Jing Qiu;Ke Meng;Yu Zheng;Zhao Yang Dong

  • Multi-Objective Dynamic VAR Planning Against Short-Term Voltage Instability Using a Decomposition-Based Evolutionary Algorithm

    Yan Xu;Zhao Yang Dong;Ke Meng;Wei Feng Yao

  • Optimal placement of battery energy storage in distribution networks considering conservation voltage reduction and stochastic load composition

    Yongxi Zhang;Shuyun Ren;Zhao Yang Dong;Yan Xu

  • A Linear Programming Approach to Expansion Co-Planning in Gas and Electricity Markets

    Jing Qiu;Hongming Yang;Zhao Yang Dong;Jun Hua Zhao

Frequent Co-Authors

Zhao Yang Dong
Zhao Yang Dong City University of Hong Kong
Fengji Luo
Fengji Luo University of Sydney
Kit Po Wong
Kit Po Wong University of Western Australia
Zhao Xu
Zhao Xu Hong Kong Polytechnic University
Yan Xu
Yan Xu Nanyang Technological University
Junhua Zhao
Junhua Zhao Chinese University of Hong Kong, Shenzhen
Yingying Chen
Yingying Chen Rutgers, The State University of New Jersey
Loi Lei Lai
Loi Lei Lai Guangdong University of Technology
Guo Chen
Guo Chen University of New South Wales
Herbert Ho-Ching Iu
Herbert Ho-Ching Iu University of Western Australia

External Links

Personal website of Ke Meng

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Related Online Degrees & Career Pathways

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Additionally, for those interested in leadership roles within engineering projects, pursuing an accelerated online project management degree can be an excellent way to develop the management expertise necessary for overseeing complex engineering teams and projects.

Best Scientists Citing Ke Meng

Zhao Yang Dong

Zhao Yang Dong

City University of Hong Kong

Publications: 81

Yan Xu

Yan Xu

Nanyang Technological University

Publications: 61

Fengji Luo

Fengji Luo

University of Sydney

Publications: 43

Joao P. S. Catalao

Joao P. S. Catalao

University of Porto

Publications: 36

Junhua Zhao

Junhua Zhao

Chinese University of Hong Kong, Shenzhen

Publications: 29

Kit Po Wong

Kit Po Wong

University of Western Australia

Publications: 29

Zhao Xu

Zhao Xu

Hong Kong Polytechnic University

Publications: 26

Fushuan Wen

Fushuan Wen

Zhejiang University

Publications: 24

Qiuwei Wu

Qiuwei Wu

Technical University of Denmark

Publications: 17

Zhe Chen

Zhe Chen

Aalborg University

Publications: 16

Jamshid Aghaei

Jamshid Aghaei

Central Queensland University

Publications: 16

Zechun Hu

Zechun Hu

Tsinghua University

Publications: 13

Mohammad Shahidehpour

Mohammad Shahidehpour

Illinois Institute of Technology

Publications: 13

Yonghua Song

Yonghua Song

University of Macau

Publications: 13

Behnam Mohammadi-Ivatloo

Behnam Mohammadi-Ivatloo

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Publications: 12

Miadreza Shafie-khah

Miadreza Shafie-khah

Nowocert

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