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 56 2125 2038 364 362 267 8787
Computer Science 55 4409 4285 594 590 283 8597

Sammy Chan publications per year

The chart shows the history of publications by Sammy Chan between 1989 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Sammy Chan published across 38 years, from 1989 to 2026, averaging 8.9 papers a year. Output peaked at 21 publications in 2024. 22 of the 338 publications appeared in the last two years.

No. of publications
5 10 15 20
Bar chart. Horizontal axis: year, 1989 to 2026. Vertical axis: number of publications, 0 to 21. Peak 21 publications in 2024. 1989: 1 publication 1990: 3 publications 1991: 2 publications 1992: 1 publication 1993: 2 publications 1994: 6 publications 1995: 2 publications 1996: 4 publications 1997: 13 publications 1998: 13 publications 1999: 9 publications 2000: 11 publications 2001: 2 publications 2002: 4 publications 2003: 9 publications 2004: 6 publications 2005: 8 publications 2006: 6 publications 2007: 9 publications 2008: 11 publications 2009: 5 publications 2010: 6 publications 2011: 12 publications 2012: 14 publications 2013: 9 publications 2014: 11 publications 2015: 11 publications 2016: 11 publications 2017: 13 publications 2018: 15 publications 2019: 9 publications 2020: 16 publications 2021: 13 publications 2022: 8 publications 2023: 20 publications 2024: 21 publications 2025: 21 publications 2026: 1 publication
1989 2026

338 publications in total across all disciplines

View publications per year as a table
Sammy Chan: publications per year, 1989 to 2026
Year Publications
1989 1
1990 3
1991 2
1992 1
1993 2
1994 6
1995 2
1996 4
1997 13
1998 13
1999 9
2000 11
2001 2
2002 4
2003 9
2004 6
2005 8
2006 6
2007 9
2008 11
2009 5
2010 6
2011 12
2012 14
2013 9
2014 11
2015 11
2016 11
2017 13
2018 15
2019 9
2020 16
2021 13
2022 8
2023 20
2024 21
2025 21
2026 1
Total 338
Download as CSV

Sammy Chan 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 Sammy Chan 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, 254–273 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: 267 publications — 49th percentile

49% 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
254–273 366 267
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

Sammy Chan 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 Sammy Chan 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, 56 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: 56 D-Index — 71st percentile

71% 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 56
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

Overview

Sammy Chan is affiliated with the University of Hong Kong in China and has contributed extensively to the field of computer science, with a substantial focus on artificial intelligence, computer networks, and information systems. Their research spans several interconnected subfields including artificial intelligence, computer networks and communications, information systems, signal processing, and electrical and electronic engineering.

The scientist's work primarily addresses advanced malware detection techniques, network security and intrusion detection, user authentication and security systems, blockchain technology applications and security, anomaly detection techniques, spam and phishing detection, as well as cryptography and data security.

Recent publications reflect a range of topics aligned with cybersecurity and distributed computing. Some notable papers include:

  • Intrusion detection methods based on integrated deep learning model, 2021, Computers & Security
  • Offloading Time Optimization via Markov Decision Process in Mobile-Edge Computing, 2020, IEEE Internet of Things Journal
  • Smart Contract Vulnerability Analysis and Security Audit, 2020, IEEE Network
  • A lightweight approach for network intrusion detection in industrial cyber-physical systems based on knowledge distillation and deep metric learning, 2022, Expert Systems with Applications
  • Detection of Vulnerabilities of Blockchain Smart Contracts, 2023, IEEE Internet of Things Journal

Frequent coauthors collaborating with Sammy Chan include Daojing He, Mohsen Guizani, Zhendong Wang, Shuxin Yang, and Nadra Guizani. These collaborations have contributed to a diverse and impactful body of work across various topics in cybersecurity and computing.

The scientist's research output appears predominantly in renowned publication venues, highlighting a focused engagement with specific academic communities. The most frequent venues include:

  • IEEE Internet of Things Journal
  • IEEE Network
  • Cluster Computing
  • IEEE Transactions on Dependable and Secure Computing
  • Expert Systems with Applications

Sammy Chan has published a total of 193 works in computer science, with 53 specifically in artificial intelligence and 51 related to computer networks and communications. Their work encompasses developing models and methods that address challenges in cybersecurity, smart contracts, IoT, and anomaly detection. This involves applying machine learning techniques, knowledge distillation, and decision process optimization to improve security and computational efficiency.

Best Publications

  • An Enhanced Two-factor User Authentication Scheme in Wireless Sensor Networks

    Daojing He;Yi Gao;Sammy Chan;Chun Chen

  • Secure and Efficient Handover Authentication Based on Bilinear Pairing Functions

    Daojing He;Chun Chen;Sammy Chan;Jiajun Bu

  • Communication Security of Unmanned Aerial Vehicles

    Daojing He;Sammy Chan;Mohsen Guizani

  • ReTrust: Attack-Resistant and Lightweight Trust Management for Medical Sensor Networks

    Daojing He;Chun Chen;S. Chan;Jiajun Bu

  • Drone-Assisted Public Safety Networks: The Security Aspect

    Daojing He;Sammy Chan;Mohsen Guizani

  • PD-RED: to improve the performance of RED

    Jinsheng Sun;K.-T. Ko;Guanrong Chen;S. Chan

  • Cascading failure spreading on weighted heterogeneous networks

    Zhi-Xi Wu;Gang Peng;Wen-Xu Wang;Sammy Chan

  • Lightweight and provably secure user authentication with anonymity for the global mobility network

    Chun Chen;Daojing He;Sammy Chan;Jiajun Bu

  • Privacy-Preserving Universal Authentication Protocol for Wireless Communications

    Daojing He;Jiajun Bu;Sammy Chan;Chun Chen

  • User privacy and data trustworthiness in mobile crowd sensing

    Daojing He;Sammy Chan;Mohsen Guizani

  • Intrusion detection methods based on integrated deep learning model

    Zhendong Wang;Yaodi Liu;Daojing He;Sammy Chan

  • Mobile application security: malware threats and defenses

    Daojing He;Sammy Chan;Mohsen Guizani

  • Privacy in the Internet of Things for Smart Healthcare

    Daojing He;Ran Ye;Sammy Chan;Mohsen Guizani

  • Offloading Time Optimization via Markov Decision Process in Mobile-Edge Computing

    Guisong Yang;Ling Hou;Xingyu He;Daojing He

  • HySense: A Hybrid Mobile CrowdSensing Framework for Sensing Opportunities Compensation under Dynamic Coverage Constraint

    Guangjie Han;Li Liu;Sammy Chan;Ruiyun Yu

  • PD-controller: a new active queue management scheme

    Jinsheng Sun;Guanrong Chen;King-Tim Ko;S. Chan

  • Distributed Access Control with Privacy Support in Wireless Sensor Networks

    Daojing He;Jiajun Bu;Sencun Zhu;Sammy Chan

  • A lightweight approach for network intrusion detection in industrial cyber-physical systems based on knowledge distillation and deep metric learning

    Unknown

  • A Distributed Trust Evaluation Model and Its Application Scenarios for Medical Sensor Networks

    Daojing He;Chun Chen;S. Chan;Jiajun Bu

  • Smart Contract Vulnerability Analysis and Security Audit

    Daojing He;Zhi Deng;Yuxing Zhang;Sammy Chan

  • Iterative decoding of multi-dimensional concatenated single parity check codes

    Li Ping;S. Chan;K.L. Yeung

  • Secure service provision in smart grid communications

    Daojing He;Chun Chen;Jiajun Bu;S. Chan

  • An Uneven Cluster-Based Mobile Charging Algorithm for Wireless Rechargeable Sensor Networks

    Guangjie Han;Haofei Guan;Jiawei Wu;Sammy Chan

Frequent Co-Authors

Daojing He
Daojing He East China Normal University
Moshe Zukerman
Moshe Zukerman City University of Hong Kong
Mohsen Guizani
Mohsen Guizani Mohamed bin Zayed University of Artificial Intelligence
Guangjie Han
Guangjie Han Hohai University
Jiajun Bu
Jiajun Bu Zhejiang University
Li Ping
Li Ping City University of Hong Kong
Nadra Guizani
Nadra Guizani The University of Texas at Arlington
Hai L. Vu
Hai L. Vu Monash University
Guanrong Chen
Guanrong Chen City University of Hong Kong
Lei Shu
Lei Shu Nanjing Agricultural University

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 those interested in Electronics and Electrical Engineering, exploring flexible learning options is essential. Many professionals turn to accelerated online degree programs for working adults to balance their education with demanding jobs. These programs offer a faster route to earning credentials without compromising work commitments.

Additionally, for graduates aiming to transition into educational roles within engineering, pursuing one of the best online master's for teaching can provide specialized skills in instructional design and pedagogy tailored to STEM fields.

Competency is crucial in technical fields, which is why competency based programs have gained popularity. These allow students to progress by demonstrating mastery of key skills, making learning more personalized and efficient for diverse learners.

Online education also plays a vital role for unique communities, such as military families. The online universities for military spouses provide flexible, affordable options that accommodate frequent relocations and other challenges, making career advancement in engineering more accessible.

Best Scientists Citing Sammy Chan

Trending Scientists

Recently Published Articles