World's Best Scientists 2026 revealed!

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Electronics and Electrical Engineering 57 1994 1911 783 732 251 11231
Computer Science 56 4141 4026 1957 1890 205 10357

Junbo Zhao publications per year

The chart shows the history of publications by Junbo Zhao between 2009 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Junbo Zhao published across 17 years, from 2009 to 2025, averaging 24.6 papers a year. Output peaked at 77 publications in 2024. 133 of the 418 publications appeared in the last two years.

No. of publications
25 50 75
Bar chart. Horizontal axis: year, 2009 to 2025. Vertical axis: number of publications, 0 to 77. Peak 77 publications in 2024. 2009: 1 publication 2010: 0 publications 2011: 0 publications 2012: 1 publication 2013: 3 publications 2014: 2 publications 2015: 7 publications 2016: 5 publications 2017: 10 publications 2018: 18 publications 2019: 17 publications 2020: 36 publications 2021: 57 publications 2022: 53 publications 2023: 75 publications 2024: 77 publications 2025: 56 publications
2009 2025

418 publications in total across all disciplines

View publications per year as a table
Junbo Zhao: publications per year, 2009 to 2025
Year Publications
2009 1
2010 0
2011 0
2012 1
2013 3
2014 2
2015 7
2016 5
2017 10
2018 18
2019 17
2020 36
2021 57
2022 53
2023 75
2024 77
2025 56
Total 418
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Junbo Zhao 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 Junbo Zhao 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: 251 publications — 45th percentile

45% 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
234–253 399 251
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
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Junbo Zhao 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 Junbo Zhao 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, 57 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: 57 D-Index — 72nd percentile

72% 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
55 97
56 111
57 102 57
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
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Overview

Junbo Zhao is affiliated with the University of Connecticut in the United States. Their primary research contributions are situated in the field of Engineering, with a specialized focus on Electrical and Electronic Engineering, Control and Systems Engineering, Artificial Intelligence, Safety, Risk, Reliability and Quality, and Computer Networks and Communications.

The scientist has authored a substantial number of publications across several core research topics. These main topics include:

  • Power System Optimization and Stability
  • Optimal Power Flow Distribution
  • Microgrid Control and Optimization
  • Smart Grid Energy Management
  • Energy Load and Power Forecasting
  • Smart Grid Security and Resilience
  • Power System Reliability and Maintenance

Zhao's recent published papers cover various aspects of power systems and smart grids. These include:

  • "Reinforcement Learning and Its Applications in Modern Power and Energy Systems: A Review" (2020), Journal of Modern Power Systems and Clean Energy
  • "A Novel Hybrid Short-Term Load Forecasting Method of Smart Grid Using MLR and LSTM Neural Network" (2020), IEEE Transactions on Industrial Informatics
  • "A Multi-Agent Deep Reinforcement Learning Based Voltage Regulation Using Coordinated PV Inverters" (2020), IEEE Transactions on Power Systems
  • "Roles of Dynamic State Estimation in Power System Modeling, Monitoring and Operation" (2020), IEEE Transactions on Power Systems
  • "Power system inertia estimation: Review of methods and the impacts of converter-interfaced generations" (2021), International Journal of Electrical Power & Energy Systems

The scientist frequently publishes in the following venues:

  • IEEE Transactions on Power Systems
  • arXiv (Cornell University)
  • IEEE Transactions on Smart Grid
  • International Journal of Electrical Power & Energy Systems
  • IEEE Transactions on Industrial Informatics

Collaborative efforts are evident through frequent co-authors, which include:

  • Weihao Hu
  • Bendong Tan
  • Di Cao
  • Fei Ding
  • Zhe Chen

Junbo Zhao's work intersects various domains of power systems, emphasizing optimization, forecasting, control, and reliability. Their research contributions span advanced methodologies integrating machine learning and reinforcement learning applied to power system dynamics and smart grid technologies.

Best Publications

  • Power System Dynamic State Estimation: Motivations, Definitions, Methodologies, and Future Work

    Junbo Zhao;Antonio Gomez-Exposito;Marcos Netto;Lamine Mili

  • A Robust Iterated Extended Kalman Filter for Power System Dynamic State Estimation

    Junbo Zhao;Marcos Netto;Lamine Mili

  • Fault Diagnosis of Electric Power Systems Based on Fuzzy Reasoning Spiking Neural P Systems

    Tao Wang;Gexiang Zhang;Junbo Zhao;Zhengyou He

  • A Novel Hybrid Short-Term Load Forecasting Method of Smart Grid Using MLR and LSTM Neural Network

    Jian Li;Daiyu Deng;Junbo Zhao;Dongsheng Cai

  • Robust Unscented Kalman Filter for Power System Dynamic State Estimation With Unknown Noise Statistics

    Junbo Zhao;Lamine Mili

  • A Multi-Agent Deep Reinforcement Learning Based Voltage Regulation Using Coordinated PV Inverters

    Di Cao;Weihao Hu;Junbo Zhao;Qi Huang

  • Short-Term State Forecasting-Aided Method for Detection of Smart Grid General False Data Injection Attacks

    Junbo Zhao;Gexiang Zhang;Massimo La Scala;Zhao Yang Dong

  • Power system inertia estimation: Review of methods and the impacts of converter-interfaced generations

    Bendong Tan;Junbo Zhao;Marcos Netto;Venkat Krishnan

  • Power System Real-Time Monitoring by Using PMU-Based Robust State Estimation Method

    Junbo Zhao;Gexiang Zhang;Kaushik Das;George N. Korres

  • Roles of Dynamic State Estimation in Power System Modeling, Monitoring and Operation

    Junbo Zhao;Marcos Netto;Zhenyu Huang;Samson Shenglong Yu

  • Assessing Gaussian Assumption of PMU Measurement Error Using Field Data

    Shaobu Wang;Junbo Zhao;Zhenyu Huang;Ruisheng Diao

  • A Generalized False Data Injection Attacks Against Power System Nonlinear State Estimator and Countermeasures

    Junbo Zhao;Lamine Mili;Meng Wang

  • Data-Driven Multi-Agent Deep Reinforcement Learning for Distribution System Decentralized Voltage Control With High Penetration of PVs

    Di Cao;Junbo Zhao;Weihao Hu;Fei Ding

  • Dynamic State Estimation With Model Uncertainties Using $H_\infty$ Extended Kalman Filter

    Junbo Zhao

  • Data-Driven Optimal Power Flow: A Physics-Informed Machine Learning Approach

    Xingyu Lei;Zhifang Yang;Juan Yu;Junbo Zhao

  • A Robust Generalized-Maximum Likelihood Unscented Kalman Filter for Power System Dynamic State Estimation

    Junbo Zhao;Lamine Mili

  • Deep Reinforcement Learning Enabled Physical-Model-Free Two-Timescale Voltage Control Method for Active Distribution Systems

    Di Cao;Junbo Zhao;Weihao Hu;Nanpeng Yu

  • Attention Enabled Multi-Agent DRL for Decentralized Volt-VAR Control of Active Distribution System Using PV Inverters and SVCs

    Di Cao;Junbo Zhao;Weihao Hu;Fei Ding

  • Dynamic State Estimation for Power System Control and Protection IEEE Task Force on Power System Dynamic State and Parameter Estimation

    Yu Liu;Abhinav Kumar Singh;Junbo Zhao;A. P. Sakis Meliopoulos

  • Calibrating Parameters of Power System Stability Models Using Advanced Ensemble Kalman Filter

    Renke Huang;Ruisheng Diao;Yuanyuan Li;Juan Sanchez-Gasca

  • Design and implementation of membrane controllers for trajectory tracking of nonholonomic wheeled mobile robots

    Xueyuan Wang;Xueyuan Wang;Gexiang Zhang;Ferrante Neri;Ferrante Neri;Tao Jiang

  • A Framework for Robust Hybrid State Estimation With Unknown Measurement Noise Statistics

    Junbo Zhao;Lamine Mili

Frequent Co-Authors

Lamine Mili
Lamine Mili Virginia Tech
Gexiang Zhang
Gexiang Zhang Chengdu University of Information Technology
Weihao Hu
Weihao Hu University of Electronic Science and Technology of China
Zhenyu Huang
Zhenyu Huang Pacific Northwest National Laboratory
Vladimir Terzija
Vladimir Terzija Newcastle University
Zhe Chen
Zhe Chen Aalborg University
Tianshu Bi
Tianshu Bi North China Electric Power University
Yingchen Zhang
Yingchen Zhang National Renewable Energy Laboratory
Innocent Kamwa
Innocent Kamwa Université Laval
Bikash C. Pal
Bikash C. Pal Imperial College London

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