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 68 1014 967 429 394 427 18309
Computer Science 65 2447 2370 1227 1181 446 18106

Feng Lin publications per year

The chart shows the history of publications by Feng Lin between 1988 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Feng Lin published across 39 years, from 1988 to 2026, averaging 15.3 papers a year. Output peaked at 59 publications in 2016. 21 of the 595 publications appeared in the last two years.

No. of publications
10 20 30 40 50
Bar chart. Horizontal axis: year, 1988 to 2026. Vertical axis: number of publications, 0 to 59. Peak 59 publications in 2016. 1988: 5 publications 1989: 1 publication 1990: 4 publications 1991: 5 publications 1992: 5 publications 1993: 10 publications 1994: 10 publications 1995: 3 publications 1996: 7 publications 1997: 7 publications 1998: 4 publications 1999: 6 publications 2000: 5 publications 2001: 8 publications 2002: 4 publications 2003: 2 publications 2004: 7 publications 2005: 9 publications 2006: 7 publications 2007: 18 publications 2008: 10 publications 2009: 10 publications 2010: 12 publications 2011: 13 publications 2012: 18 publications 2013: 19 publications 2014: 22 publications 2015: 34 publications 2016: 59 publications 2017: 36 publications 2018: 50 publications 2019: 34 publications 2020: 28 publications 2021: 32 publications 2022: 21 publications 2023: 32 publications 2024: 17 publications 2025: 20 publications 2026: 1 publication
1988 2026

595 publications in total across all disciplines

View publications per year as a table
Feng Lin: publications per year, 1988 to 2026
Year Publications
1988 5
1989 1
1990 4
1991 5
1992 5
1993 10
1994 10
1995 3
1996 7
1997 7
1998 4
1999 6
2000 5
2001 8
2002 4
2003 2
2004 7
2005 9
2006 7
2007 18
2008 10
2009 10
2010 12
2011 13
2012 18
2013 19
2014 22
2015 34
2016 59
2017 36
2018 50
2019 34
2020 28
2021 32
2022 21
2023 32
2024 17
2025 20
2026 1
Total 595
Download as CSV

Feng Lin 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 Feng Lin 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, 414–433 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: 427 publications — 78th percentile

78% 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
414–433 169 427
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

Feng Lin 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 Feng Lin 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, 68 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: 68 D-Index — 86th percentile

86% 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
66 64
67 69
68 60 68
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

Feng Lin is affiliated with Wayne State University in the United States. Their primary research contributions lie in the fields of Computer Science and Engineering. Within these disciplines, Lin has focused extensively on subfields including Computational Theory and Mathematics, Control and Systems Engineering, Computer Networks and Communications, Artificial Intelligence, and Hardware and Architecture.

The scientist's research topics cover a range of areas such as:

  • Petri Nets in System Modeling
  • Formal Methods in Verification
  • Distributed Systems and Fault Tolerance
  • Real-Time Systems Scheduling
  • Fault Detection and Control Systems
  • Smart Grid Security and Resilience
  • Neural Networks and Applications

Feng Lin has published numerous papers, with several appearing in prominent venues. Frequent publication outlets include:

  • IEEE Transactions on Automatic Control
  • arXiv (Cornell University)
  • IEEE Transactions on Cybernetics
  • IEEE Transactions on Fuzzy Systems
  • Discrete Event Dynamic Systems

Selected recent papers authored in collaboration with others include:

  • "Measuring the Labor Market at the Onset of the COVID-19 Crisis," 2020, SSRN Electronic Journal
  • "A recalling-enhanced recurrent neural network: Conjugate gradient learning algorithm and its convergence analysis," 2020, Information Sciences
  • "Measuring the Labor Market at the Onset of the COVID-19 Crisis," 2020, Brookings Papers on Economic Activity
  • "Convergence and objective functions of noise-injected multilayer perceptrons with hidden multipliers," 2020, Neurocomputing
  • "Online Supervisory Control of Networked Discrete Event Systems With Control Delays," 2021, IEEE Transactions on Automatic Control

Feng Lin frequently collaborates with other researchers, including:

  • Shaolong Shu
  • Hao Ying
  • Le Yi Wang
  • Wen Chen
  • Michael P. Polis

Best Publications

  • Low-Dose CT With a Residual Encoder-Decoder Convolutional Neural Network

    Hu Chen;Yi Zhang;Mannudeep K. Kalra;Feng Lin

  • On observability of discrete-event systems

    F. Lin;W. M. Wonham

  • Diagnosability of discrete event systems and its applications

    Feng Lin

  • Low-Dose CT with a Residual Encoder-Decoder Convolutional Neural Network (RED-CNN)

    Hu Chen;Yi Zhang;Mannudeep K. Kalra;Feng Lin

  • Robust control design : an optimal control approach

    Feng Lin

  • Decentralized supervisory control of discrete-event systems

    F. Lin;W. M. Wonham

  • Decentralized control and coordination of discrete-event systems with partial observation

    F. Lin;W.M. Wonham

  • Opacity of discrete event systems and its applications

    Feng Lin

  • Modeling and control of fuzzy discrete event systems

    Feng Lin;Hao Ying

  • Limited lookahead policies in supervisory control of discrete event systems

    S.-L. Chung;S. Lafortune;F. Lin

  • Smart Insole: A Wearable Sensor Device for Unobtrusive Gait Monitoring in Daily Life

    Feng Lin;Aosen Wang;Yan Zhuang;Machiko R. Tomita

  • An optimal control approach to robust control of robot manipulators

    Feng Lin;R.D. Brandt

  • Formulas for calculating supremal controllable and normal sublanguages

    R. D. Brandt;V. Garg;R. Kumar;F. Lin

  • Autonomous Exploration and Mapping System Using Heterogeneous UAVs and UGVs in GPS-Denied Environments

    Hailong Qin;Zehui Meng;Wei Meng;Xudong Chen

  • Network Partition-Based Zonal Voltage Control for Distribution Networks With Distributed PV Systems

    Bo Zhao;Zhicheng Xu;Chen Xu;Caisheng Wang

  • Distributed Formation and Reconfiguration Control of VTOL UAVs

    Fang Liao;Rodney Teo;Jian Liang Wang;Xiangxu Dong

  • Detectability of Discrete Event Systems

    Shaolong Shu;Feng Lin;Hao Ying

  • Prognostic impact of tumor-associated macrophage infiltration in non-small cell lung cancer: A systemic review and meta-analysis.

    Jiandong Mei;Zhilan Xiao;Chenglin Guo;Qiang Pu

  • Robust hovering control of a PVTOL aircraft

    Feng Lin;W. Zhang;R.D. Brandt

  • On the history of diagnosability and opacity in discrete event systems

    Stéphane Lafortune;Feng Lin;Christoforos N. Hadjicostis

  • Robust and adaptive supervisory control of discrete event systems

    F. Lin

Frequent Co-Authors

Wenyao Xu
Wenyao Xu University at Buffalo, State University of New York
Ben M. Chen
Ben M. Chen Chinese University of Hong Kong
Stéphane Lafortune
Stéphane Lafortune University of Michigan–Ann Arbor
Hao Ying
Hao Ying Wayne State University
Caisheng Wang
Caisheng Wang Wayne State University
Le Yi Wang
Le Yi Wang Wayne State University
Tong Heng Lee
Tong Heng Lee National University of Singapore
Robert C. Qiu
Robert C. Qiu Shanghai Jiao Tong University
Jonathan A. Cohn
Jonathan A. Cohn Duke University
George Yin
George Yin University of Connecticut

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Pursuing a degree in Electronics and Electrical Engineering opens doors to diverse career opportunities, both traditional and emerging. For many students, flexibility is crucial, especially for those balancing work or family commitments. Luckily, there are military spouse friendly online colleges that offer supportive environments and adaptable schedules.

With evolving educational needs, starting your program quickly might be important. Numerous online colleges that start soon provide rolling admissions, enabling students to begin their studies without waiting for traditional semester timelines.

For those looking to specialize without the commitment of lengthy courses, there are short certificate programs that pay well online. These certificates can boost practical skills and improve job prospects in sectors like automation, power systems, and electronics repair.

Furthermore, many careers in Electronics and Electrical Engineering suit individuals who prefer focused, detailed work environments. If you identify as an introvert, exploring jobs for introverts within this field can reveal fulfilling roles such as design engineer, circuit analyst, or system tester.

Best Scientists Citing Feng Lin

Trending Scientists

Recently Published Articles