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Wei-Jen Lee

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Electronics and Electrical Engineering 65 1225 1169 502 464 494 15296

Wei-Jen Lee publications per year

The chart shows the history of publications by Wei-Jen Lee between 1987 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Wei-Jen Lee published across 39 years, from 1987 to 2025, averaging 14.1 papers a year. Output peaked at 39 publications in 2020. 32 of the 550 publications appeared in the last two years.

No. of publications
10 20 30
Bar chart. Horizontal axis: year, 1987 to 2025. Vertical axis: number of publications, 0 to 39. Peak 39 publications in 2020. 1987: 2 publications 1988: 0 publications 1989: 1 publication 1990: 0 publications 1991: 4 publications 1992: 2 publications 1993: 4 publications 1994: 1 publication 1995: 4 publications 1996: 3 publications 1997: 5 publications 1998: 5 publications 1999: 7 publications 2000: 4 publications 2001: 5 publications 2002: 3 publications 2003: 2 publications 2004: 7 publications 2005: 16 publications 2006: 11 publications 2007: 24 publications 2008: 21 publications 2009: 34 publications 2010: 19 publications 2011: 24 publications 2012: 26 publications 2013: 16 publications 2014: 21 publications 2015: 28 publications 2016: 19 publications 2017: 24 publications 2018: 31 publications 2019: 30 publications 2020: 39 publications 2021: 36 publications 2022: 23 publications 2023: 17 publications 2024: 15 publications 2025: 17 publications
1987 2025

550 publications in total across all disciplines

View publications per year as a table
Wei-Jen Lee: publications per year, 1987 to 2025
Year Publications
1987 2
1988 0
1989 1
1990 0
1991 4
1992 2
1993 4
1994 1
1995 4
1996 3
1997 5
1998 5
1999 7
2000 4
2001 5
2002 3
2003 2
2004 7
2005 16
2006 11
2007 24
2008 21
2009 34
2010 19
2011 24
2012 26
2013 16
2014 21
2015 28
2016 19
2017 24
2018 31
2019 30
2020 39
2021 36
2022 23
2023 17
2024 15
2025 17
Total 550
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Wei-Jen Lee 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 Wei-Jen Lee 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, 494–513 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: 494 publications — 84th percentile

84% 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
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
494–513 103 494
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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Wei-Jen Lee 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 Wei-Jen Lee 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, 65 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: 65 D-Index — 83rd percentile

83% 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
58 108
59 120
60 103
61 93
62 92
63 74
64 77
65 73 65
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

Overview

Wei-Jen Lee is affiliated with The University of Texas at Arlington in the United States. Their research predominantly spans the field of Engineering, with a significant focus on Electrical and Electronic Engineering, Control and Systems Engineering, and Automotive Engineering. Additional subfields include Mechanical Engineering as well as Statistics, Probability, and Uncertainty.

The scientist's recent publications cover a range of topics related to electric vehicles, smart grid management, and power system optimization. Notable papers include:

  • "Mobility-Aware Charging Scheduling for Shared On-Demand Electric Vehicle Fleet Using Deep Reinforcement Learning" (2020), published in IEEE Transactions on Smart Grid
  • "A Wind Speed Correction Method Based on Modified Hidden Markov Model for Enhancing Wind Power Forecast" (2021), published in IEEE Transactions on Industry Applications
  • "A Data-driven Method for Fast AC Optimal Power Flow Solutions via Deep Reinforcement Learning" (2020), published in Journal of Modern Power Systems and Clean Energy
  • "Optimal coordinated operation scheduling for electric vehicle aggregator and charging stations in an integrated electricity-transportation system" (2020), published in International Journal of Electrical Power & Energy Systems
  • "Deep Reinforcement Learning-Based Charging Pricing for Autonomous Mobility-on-Demand System" (2021), published in IEEE Transactions on Smart Grid

Wei-Jen Lee has contributed to research on multiple topics, including:

  • Electric Vehicles and Infrastructure
  • Microgrid Control and Optimization
  • Smart Grid Energy Management
  • Energy Load and Power Forecasting
  • Power System Optimization and Stability
  • Electrical Fault Detection and Protection
  • Transportation and Mobility Innovations

Their frequent co-authors include Zhenyuan Zhang, Qi Huang, Zhaohao Ding, Peng Wang, and Xiaotian Tang.

Wei-Jen Lee's work has been published extensively in a variety of venues. The most frequent publication outlets are:

  • IEEE Transactions on Industry Applications
  • IEEE Industry Applications Magazine
  • IEEE Transactions on Smart Grid
  • 2021 IEEE Industry Applications Society Annual Meeting (IAS)
  • IEEE Transactions on Power Systems

Best Publications

  • Using Smart Meter Data to Improve the Accuracy of Intraday Load Forecasting Considering Customer Behavior Similarities

    Franklin L. Quilumba;Wei-Jen Lee;Heng Huang;David Yanshi Wang

  • Combining the Wind Power Generation System With Energy Storage Equipment

    Ming-Shun Lu;Chung-Liang Chang;Wei-Jen Lee;Li Wang

  • System impact study for the interconnection of wind generation and utility system

    Chai Chompoo-inwai;Wei-Jen Lee;P. Fuangfoo;M. Williams

  • The optimal structure planning and energy management strategies of smart multi energy systems

    Unknown

  • An Integration of ANN Wind Power Estimation Into Unit Commitment Considering the Forecasting Uncertainty

    K. Methaprayoon;C. Yingvivatanapong;Wei-Jen Lee;J.R. Liao

  • Coordinated Control Strategy of Wind Turbine Generator and Energy Storage Equipment for Frequency Support

    Lu Miao;Jinyu Wen;Hailian Xie;Chengyan Yue

  • Forecasting the Wind Generation Using a Two-Stage Network Based on Meteorological Information

    Shu Fan;J.R. Liao;R. Yokoyama;Luonan Chen

  • An AMI System for the Deregulated Electricity Markets

    Huibin Sui;Honghong Wang;Ming-Shun Lu;Wei-Jen Lee

  • Stochastic Optimal Operation of Microgrid Based on Chaotic Binary Particle Swarm Optimization

    Peng Li;Duo Xu;Zeyuan Zhou;Wei-Jen Lee

  • Reactive compensation techniques to improve the ride-through capability of wind turbine during disturbance

    C. Chompoo-inwai;C. Yingvivatanapong;K. Methaprayoon;Wei-Jen Lee

  • A New Measurement Method for Power Signatures of Nonintrusive Demand Monitoring and Load Identification

    Hsueh-Hsien Chang;Kun-Long Chen;Yuan-Pin Tsai;Wei-Jen Lee

  • Integrating wind farm to the grid using hybrid multi-terminal HVDC technology

    Xia Chen;Haishun Sun;Jinyu Wen;Wei-Jen Lee

  • Combining the Wind Power Generation System with Energy Storage Equipments

    Ming-Shun Lu;Chung-Liang Chang;Wei-Jen Lee;Li Wang

  • Power-Spectrum-Based Wavelet Transform for Nonintrusive Demand Monitoring and Load Identification

    Hsueh-Hsien Chang;Kuo-Lung Lian;Yi-Ching Su;Wei-Jen Lee

  • Short-Term Load Forecasting Using Comprehensive Combination Based on Multimeteorological Information

    Shu Fan;Luonan Chen;Wei-Jen Lee

  • Effects of Voltage: Unbalance and System Harmonics on the Performance of Doubly Fed Induction Wind Generators

    M. Kiani;Wei-Jen Lee

  • Effects of various unbalanced voltages on the operation performance of an induction motor under the same voltage unbalance factor condition

    Ching Yin Lee;Bin Kwie Chen;Wei Jen Lee;Yen Feng Hsu

  • Using a static VAr compensator to balance a distribution system

    Jen-Hung Chen;Wei-Jen Lee;Mo-Shing Chen

  • Integrating Wind Farm to the Grid Using Hybrid Multiterminal HVDC Technology

    Unknown

  • Mobility-Aware Charging Scheduling for Shared On-Demand Electric Vehicle Fleet Using Deep Reinforcement Learning

    Yanchang Liang;Zhaohao Ding;Tao Ding;Wei-Jen Lee

  • A Bi-Level Program for the Planning of an Islanded Microgrid Including CAES

    Jun Zhang;Ke-Jun Li;Mingqiang Wang;Wei-Jen Lee

  • Multi-Stage Artificial Neural Network Short-term Load Forecasting Engine with Front-End Weather Forecast

    K. Methaprayoon;Wei-Jen Lee;S. Rasmiddatta;J.R. Liao

  • Particle-Swarm-Optimization-Based Nonintrusive Demand Monitoring and Load Identification in Smart Meters

    Hsueh-Hsien Chang;Lung-Shu Lin;Nanming Chen;Wei-Jen Lee

  • Effects of nonsinusoidal voltage on the operation performance of a three-phase induction motor

    Ching-Yin Lee;Wei-Jen Lee

Frequent Co-Authors

Li Wang
Li Wang National Cheng Kung University
Jinyu Wen
Jinyu Wen Huazhong University of Science and Technology
Zhe Chen
Zhe Chen Aalborg University
Frank L. Lewis
Frank L. Lewis The University of Texas at Arlington
Heng Huang
Heng Huang University of Pittsburgh
Yijia Cao
Yijia Cao Hunan University
Luonan Chen
Luonan Chen Chinese Academy of Sciences
Babak Fahimi
Babak Fahimi The University of Texas at Dallas
Chenghui Zhang
Chenghui Zhang Shandong University
Zhengyou He
Zhengyou He Southwest Jiaotong University

External Links

Personal website of Wei-Jen Lee Google Scholar page

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For a more comprehensive approach, many opt for a bachelor project management program online to balance technical expertise with essential management skills, preparing graduates for multidisciplinary roles in the evolving engineering landscape.

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