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 46 3343 3204 1239 1154 292 9860

Er-Wei Bai publications per year

The chart shows the history of publications by Er-Wei Bai between 1985 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Er-Wei Bai published across 41 years, from 1985 to 2025, averaging 7.6 papers a year. Output peaked at 20 publications in 2010. 2 of the 311 publications appeared in the last two years.

No. of publications
5 10 15 20
Bar chart. Horizontal axis: year, 1985 to 2025. Vertical axis: number of publications, 0 to 20. Peak 20 publications in 2010. 1985: 1 publication 1986: 3 publications 1987: 2 publications 1988: 4 publications 1989: 2 publications 1990: 3 publications 1991: 5 publications 1992: 6 publications 1993: 4 publications 1994: 8 publications 1995: 9 publications 1996: 10 publications 1997: 5 publications 1998: 9 publications 1999: 11 publications 2000: 11 publications 2001: 7 publications 2002: 10 publications 2003: 10 publications 2004: 6 publications 2005: 12 publications 2006: 15 publications 2007: 12 publications 2008: 15 publications 2009: 12 publications 2010: 20 publications 2011: 6 publications 2012: 16 publications 2013: 11 publications 2014: 13 publications 2015: 13 publications 2016: 7 publications 2017: 7 publications 2018: 5 publications 2019: 10 publications 2020: 1 publication 2021: 3 publications 2022: 3 publications 2023: 2 publications 2024: 0 publications 2025: 2 publications
1985 2025

311 publications in total across all disciplines

View publications per year as a table
Er-Wei Bai: publications per year, 1985 to 2025
Year Publications
1985 1
1986 3
1987 2
1988 4
1989 2
1990 3
1991 5
1992 6
1993 4
1994 8
1995 9
1996 10
1997 5
1998 9
1999 11
2000 11
2001 7
2002 10
2003 10
2004 6
2005 12
2006 15
2007 12
2008 15
2009 12
2010 20
2011 6
2012 16
2013 11
2014 13
2015 13
2016 7
2017 7
2018 5
2019 10
2020 1
2021 3
2022 3
2023 2
2024 0
2025 2
Total 311
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Er-Wei Bai 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 Er-Wei Bai 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, 274–293 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: 292 publications — 55th percentile

55% 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
274–293 335 292
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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Er-Wei Bai 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 Er-Wei Bai 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, 46 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: 46 D-Index — 52nd percentile

52% 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 46
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
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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Research.com Recognitions

  • 2004 - IEEE Fellow For contributions to system identification and parameter estimation.

Overview

Er-Wei Bai is affiliated with the University of Iowa in the United States and has conducted extensive research primarily in the field of Engineering. Their work spans several subfields including Control and Systems Engineering, Radiology, Nuclear Medicine and Imaging, Civil and Structural Engineering, Computational Mechanics, and Statistics and Probability.

The main topics of their research focus on Control Systems and Identification, Fault Detection and Control Systems, Structural Health Monitoring Techniques, Probabilistic and Robust Engineering Design, Advanced Radiotherapy Techniques, Medical Imaging and Analysis, and Sparse and Compressive Sensing Techniques.

Er-Wei Bai has published multiple papers across well-known venues. Frequent publication outlets include Automatica, IEEE Transactions on Automatic Control, SSRN Electronic Journal, International Journal of Artificial Intelligence & Applications, and Machine Learning with Applications.

  • Sparse system identification for stochastic systems with general observation sequences, 2020, Automatica
  • Identification of Sparse Volterra Systems: An Almost Orthogonal Matching Pursuit Approach, 2021, IEEE Transactions on Automatic Control
  • Variable selection based on squared derivative averages, 2021, Automatica
  • Persistence of excitation for identifying switched linear systems, 2022, Automatica
  • Variable Selection According to Goodness of Fit in Nonparametric Nonlinear System Identification, 2020, IEEE Transactions on Automatic Control

Coauthors frequently collaborating with Er-Wei Bai include Changming Cheng, Junyi Xia, Biqiang Mu, Sridhar Yaddanapudi, and Tianshi Chen. These collaborations reflect a breadth of expertise contributing to Bai's research outputs.

Among notable recognitions, Er-Wei Bai was named an IEEE Fellow in 2004 for contributions to system identification and parameter estimation.

Best Publications

  • An Optimal Two-stage Identification Algorithm for Hammerstein―Wiener Nonlinear Systems

    Er-Wei Bai

  • Block Oriented Nonlinear System Identification

    Fouad Giri;Er-Wei Bai

  • Probabilistic robustness analysis: explicit bounds for the minimum number of samples

    R. Tempo;E. W. Bai;F. Dabbene

  • Synchronization of two Lorenz systems using active control

    Er-Wei Bai;Karl E. Lonngren

  • A Blind Approach to the Hammerstein-Wiener Model Identification

    Er-Wei Bai

  • Sequential synchronization of two Lorenz systems using active control

    Er-Wei Bai;Karl E Lonngren

  • Brief Identification of linear systems with hard input nonlinearities of known structure

    Er-Wei Bai

  • Convergence of the iterative Hammerstein system identification algorithm

    Er-Wei Bai;Duan Li

  • A blind approach to Hammerstein model identification

    Er-Wei Bai;Minyue Fu

  • Iterative Identification of Hammerstein Systems

    Yun Liu;Er-Wei Bai

  • Frequency Domain Identification of Hammerstein Models

    Er-Wei Bai

  • A two-stage algorithm for identification of nonlinear dynamic systems

    Kang Li;Jian-Xun Peng;Er-Wei Bai

  • Brief paper: Iterative identification of Hammerstein systems

    Yun Liu;Er-Wei Bai

  • Convergence results for an adaptive dead zone inverse

    Hyonyong Cho;Er-Wei Bai

  • Frequency domain identification of wiener models

    Er-Wei Bai

  • Hybrid Probabilistic Wind Power Forecasting Using Temporally Local Gaussian Process

    Juan Yan;Kang Li;Er-Wei Bai;Jing Deng

  • Worst-case properties of the uniform distribution and randomized algorithms for robustness analysis

    Er-Wei Bai;Roberto Tempo;Minyue Fu

  • Decoupling the Linear and Nonlinear Parts in Hammerstein Model Identification

    Er-Wei Bai

  • Persistency of excitation, sufficient richness and parameter convergence in discrete time adaptive control☆

    E.W. Bai;S.S. Sastry

  • On the global warming problem due to carbon dioxide

    Karl E. Lonngren;Er-Wei Bai

  • On the synchronization of a class of electronic circuits that exhibit chaos

    Er-Wei Bai;Karl E. Lonngren;J.C. Sprott

  • Identification of Linear Systems with Hard Input Nonlinearities of Known Structure

    Er-Wei Bai

Frequent Co-Authors

Roberto Tempo
Roberto Tempo Polytechnic University of Turin
Kang Li
Kang Li University of Leeds
Soura Dasgupta
Soura Dasgupta University of Iowa
Ge Wang
Ge Wang Rensselaer Polytechnic Institute
Yinyu Ye
Yinyu Ye Stanford University
Weiyu Xu
Weiyu Xu University of Iowa
Wei Xing Zheng
Wei Xing Zheng Western Sydney University
Hideaki Ishii
Hideaki Ishii Tokyo Institute of Technology
Minyue Fu
Minyue Fu Southern University of Science and Technology
Li Qiu
Li Qiu Hong Kong University of Science and Technology

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