World's Best Scientists 2026 revealed!
Wallace K. S. Tang

Wallace K. S. Tang

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Electronics and Electrical Engineering 45 3529 3388 563 561 157 8789

Wallace K. S. Tang publications per year

The chart shows the history of publications by Wallace K. S. Tang between 1996 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Wallace K. S. Tang published across 30 years, from 1996 to 2025, averaging 6.5 papers a year. Output peaked at 16 publications in 2008. 16 of the 196 publications appeared in the last two years.

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

196 publications in total across all disciplines

View publications per year as a table
Wallace K. S. Tang: publications per year, 1996 to 2025
Year Publications
1996 3
1997 1
1998 5
1999 0
2000 3
2001 9
2002 7
2003 7
2004 7
2005 13
2006 4
2007 9
2008 16
2009 12
2010 11
2011 5
2012 6
2013 4
2014 4
2015 2
2016 7
2017 10
2018 11
2019 7
2020 10
2021 4
2022 2
2023 1
2024 8
2025 8
Total 196
Download as CSV

Wallace K. S. Tang publications per year - data summary

  • Wallace K. S. Tang, a Electronics and Electrical Engineering scholar from City University of Hong Kong, has 196 publications recorded across 30 years, from 1996 to 2025.
  • The oldest publication on record dates to 1996 and the most recent to 2025.
  • The most productive year is 2008, with 16 publications.
  • The least productive years with any output are 1997 and 2023, with 1 publication each.
  • 1 of the 30 years in the span carries no publications at all (1999).
  • The rate of publication averages 6.5 papers per year over the whole span, or 6.8 per year counting only the 29 years with at least one publication.
  • The last 5 years on the chart (2021-2025) hold 23 publications, 12% of the career total.
  • Split into equal eras - 1996-2005: 55 publications (5.5 per year); 2006-2015: 73 publications (7.3 per year); 2016-2025: 68 publications (6.8 per year).
  • Comparing the opening and closing eras, the overall trend of publication is broadly steady.

Wallace K. S. Tang 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 Wallace K. S. Tang 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, 154–173 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: 157 publications — 16th percentile

16% 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
154–173 403 157
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
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

Wallace K. S. Tang 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.
  • Wallace K. S. Tang, a Electronics and Electrical Engineering scholar from City University of Hong Kong, records 157 publications - the 16th percentile of the discipline.
  • 16% of ranked Electronics and Electrical Engineering scientists score the same or lower than Wallace K. S. Tang, and about 84% score higher.
  • The median of the discipline falls in the 254–273 publications range, and Wallace K. S. Tang 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).

Wallace K. S. Tang 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 Wallace K. S. Tang 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, 45 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: 45 D-Index — 50th percentile

50% 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 45
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
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

Wallace K. S. Tang 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.
  • Wallace K. S. Tang, a Electronics and Electrical Engineering scholar from City University of Hong Kong, records 45 D-Index - the 50th percentile of the discipline.
  • 50% of ranked Electronics and Electrical Engineering scientists score the same or lower than Wallace K. S. Tang, and about 50% score higher.
  • The median of the discipline falls in the 46 D-Index range, and Wallace K. S. Tang ranks below 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

Wallace K. S. Tang is affiliated with the City University of Hong Kong in China. The scientific contributions from this researcher span across multiple aspects of computer science, with a strong focus on artificial intelligence, computer networks and communications, atomic and molecular physics and optics, industrial and manufacturing engineering, and automotive engineering.

The main fields of study explored in Tang's work include:

  • Computer Science

Within this discipline, their subfields of study reflect a diverse interest in both theoretical and applied areas:

  • Artificial Intelligence
  • Computer Networks and Communications
  • Atomic and Molecular Physics, and Optics
  • Industrial and Manufacturing Engineering
  • Automotive Engineering

Key topics addressed in Tang's publications feature the following:

  • Neural Networks Stability and Synchronization
  • Quantum Information and Cryptography
  • Water Quality Monitoring and Analysis
  • Distributed Control Multi-Agent Systems
  • Quantum Computing Algorithms and Architecture
  • Quantum Mechanics and Applications
  • Nonlinear Dynamics and Pattern Formation

Recent published papers illustrate Tang's research interests and contributions with these works:

  • "Master-Slave Synchronization of Delayed Neural Networks With Time-Varying Control," 2020, IEEE Transactions on Neural Networks and Learning Systems
  • "Event-Triggered Synchronization for Nonlinear Multi-Agent Systems With Sampled Data," 2020, IEEE Transactions on Circuits and Systems I Regular Papers
  • "Hierarchical Quantum Secret Sharing Based On Special High-Dimensional Entangled State," 2020, IEEE Journal of Selected Topics in Quantum Electronics
  • "Adaptive strategy in differential evolution via explicit exploitation and exploration controls," 2020, arXiv (Cornell University)
  • "Coordinating Electric Vehicle Flow Distribution and Charger Allocation by Joint Optimization," 2021, IEEE Transactions on Industrial Informatics

The principal publication venues for these studies include:

  • IEEE Transactions on Circuits and Systems I Regular Papers
  • arXiv (Cornell University)
  • Journal of Environmental Management
  • Optical and Quantum Electronics
  • IEEE Transactions on Neural Networks and Learning Systems

Wallace K. S. Tang has collaborated frequently with several co-authors, including:

  • Hanxiao Shi
  • Anlei Wei
  • Ju Zou
  • Qiang Jia
  • Huawang Qin

Best Publications

  • Genetic algorithms and their applications

    K.S. Tang;K.F. Man;S. Kwong;Q. He

  • An optimal fuzzy PID controller

    K.S. Tang;Kim Fung Man;Guanrong Chen;S. Kwong

  • A fast image encryption system based on chaotic maps with finite precision representation

    H.S. Kwok;Wallace K.S. Tang

  • GENERATING HYPERCHAOS VIA STATE FEEDBACK CONTROL

    Yuxia Li;Wallace Kit-Sang Tang;Guanrong Chen

  • Generation of n-scroll attractors via sine function

    W.K.S. Tang;G.Q. Zhong;G. Chen;K.F. Man

  • Model for rumor spreading over networks

    Daniel Trpevski;Wallace K. S. Tang;Ljupco Kocarev

  • A simple global synchronization criterion for coupled chaotic systems

    Guo-Ping Jiang;Wallace Kit-Sang Tang;Guanrong Chen

  • Controlling a unified chaotic system to hyperchaotic

    Yuxia Li;Guanrong Chen;W.K.S. Tang

  • Hyperchaos evolved from the generalized Lorenz equation

    Yuxia Li;Yuxia Li;Wallace K. S. Tang;Guanrong Chen

  • A State-Observer-Based Approach for Synchronization in Complex Dynamical Networks

    Guo-Ping Jiang;Wallace Kit-Sang Tang;Guanrong Chen

  • Design and optimization of IIR filter structure using hierarchical genetic algorithms

    Kit-Sang Tang;Kim-Fung Man;Sam Kwong;Zhi-Feng Liu

  • Controllability of networked MIMO systems

    Lin Wang;Guanrong Chen;Xiaofan Wang;Wallace K.S. Tang

  • Suppressing electromagnetic interference in direct current converters

    Hong Li;W.K.S. Tang;Wolfgang Halang

  • Optimisation of HMM topology and its model parameters by genetic algorithms

    Sam Kwong;Chak-Wai Chau;Kim-Fung Man;Kit-Sang Tang

  • Generation of $n imes m$ -Wing Lorenz-Like Attractors From a Modified Shimizu–Morioka Model

    Simin Yu;W.K.S. Tang;Jinhu Lu;Guanrong Chen

  • System Design and Performance Analysis of Orthogonal Multi-Level Differential Chaos Shift Keying Modulation Scheme

    Hua Yang;Wallace K. S. Tang;Guanrong Chen;Guo-Ping Jiang

  • A GLOBAL SYNCHRONIZATION CRITERION FOR COUPLED CHAOTIC SYSTEMS VIA UNIDIRECTIONAL LINEAR ERROR FEEDBACK APPROACH

    Guo-Ping Jiang;Wallace Kit-Sang Tang

  • A New Criterion for Chaos Synchronization Using Linear State Feedback Control

    Guo-Ping Jiang;Guanrong Chen;Wallace Kit-Sang Tang

  • A general multiscroll lorenz system family and its realization via digital signal processors

    Simin Yu;Jinhu Lü;Wallace K. S. Tang;Guanrong Chen

  • CIRCUITRY IMPLEMENTATION AND SYNCHRONIZATION OF CHEN'S ATTRACTOR

    G. Q. Zhong;Wallace Kit-Sang Tang

  • GENERATION OF n × m-SCROLL ATTRACTORS UNDER A CHUA-CIRCUIT FRAMEWORK

    Simin Yu;Wallace Kit-Sang Tang;Guanrong Chen

  • Hardware implementation of genetic algorithms using FPGA

    Wallace Tang;Leslie Yip

  • A State-Observer-Based Approach for Synchronization in Complex

    Guo-Ping Jiang;Wallace Kit-Sang Tang;Guanrong Chen

Frequent Co-Authors

Guanrong Chen
Guanrong Chen City University of Hong Kong
Ljupco Kocarev
Ljupco Kocarev Macedonian Academy of Sciences and Arts
Jinhu Lu
Jinhu Lu Beihang University
Ying-Cheng Lai
Ying-Cheng Lai Arizona State University
Xiaofan Wang
Xiaofan Wang Shanghai University
Wei Xing Zheng
Wei Xing Zheng Western Sydney University
Maarouf Saad
Maarouf Saad École de Technologie Supérieure
Sammy Chan
Sammy Chan University of Hong Kong
Zhaoyang Zhang
Zhaoyang Zhang Zhejiang University
Hong Li
Hong Li Chinese Academy of Sciences

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

For students pursuing Electronics and Electrical Engineering, exploring complementary fields can broaden career opportunities. Many professionals gravitate toward roles that suit their working style, such as jobs for introverts that pay well, which often include analytical and technical positions found in engineering and project management.

To enhance management skills alongside technical expertise, consider pursuing an accelerated bachelors degree programs for adults, which provide flexible scheduling for working individuals. These programs allow for faster completion without compromising quality, making them ideal for those balancing education with career demands.

Project management is a natural pathway from engineering, and the fastest online project management degree offers a streamlined way to gain essential leadership and organizational skills. Additionally, students can explore a project management bachelor degree online to build a solid foundation in managing complex projects within tech industries.

Combining your engineering background with specialized online degrees opens diverse career pathways, from technical roles to leadership positions. Utilizing resources like the fastest online project management degree and related accelerated degrees can significantly enhance your professional growth.

Best Scientists Citing Wallace K. S. Tang

Trending Scientists

Recently Published Articles