Lucas C. K. Hui

3.4k citations
110 papers · 1.7k indexed · h-index 20

Lucas C. K. Hui

102 papers receiving 1.6k citations

Peers

Lucas C. K. Hui
Comparison fields: 5 of 89
  • Computer Networks and Communications 736
  • Artificial Intelligence 878
  • Signal Processing 279
  • Information Systems 574
  • Software 77
Replace Han Qiu with:
Han Qiu China
Duminda Wijesekera United States
Chamseddine Talhi Canada
Taeshik Shon South Korea
Stefano Zanero Italy
Youki Kadobayashi Japan
Emil Lupu United Kingdom
Qi Alfred Chen United States
Dieter Hogrefe Germany
Ayman Kayssi Lebanon
Lucas C. K. Hui relative to Han Qiu China Han Qiu's profile →
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Citations per year

Countries citing papers authored by Lucas C. K. Hui

Since Specialization
Citations

This map shows the geographic impact of Lucas C. K. Hui's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Lucas C. K. Hui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lucas C. K. Hui more than expected).

Fields of papers citing papers by Lucas C. K. Hui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lucas C. K. Hui. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Lucas C. K. Hui. The network helps show where Lucas C. K. Hui may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Lucas C. K. Hui, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Lucas C. K. Hui Line = papers co-authored together Lucas C. K. Hui links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20157
2 20142
3
Weighted average problem revisited under hybrid and malicious model
20124
4 20127
5 201283
6 201224
7 201131
8
Two Efficient Proxy Signature Schemes for Delegation Chains with Nonrepudiation and Untraceability.
20090
9 20081
10
An Attack on Libert et al.'s ID-Based Undeniable Signature Scheme
20072
11
Tools and technology for computer forensics: research and development in Hong Kong
20071
12 20073
13
An efficient bloom filter based solution for multiparty private matching
200618
14
A model to support fine-grained delegation of authorization.
20051
15 20055
16
The Content Engineering Agent: A TBL-based e-Course Development Tool
20021
17
An Intelligent Tutoring System: Smart Tutor
20015
18 19991
19 1995143
20
On efficient unsuccessful search
19925

About Lucas C. K. Hui

Lucas C. K. Hui is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems, having authored 110 papers that have together received 1.7k indexed citations. Recurring topics across this work include Cryptography and Data Security (34 papers), Privacy-Preserving Technologies in Data (18 papers), Internet Traffic Analysis and Secure E-voting (14 papers), Vehicular Ad Hoc Networks (VANETs) (14 papers), Advanced Malware Detection Techniques (14 papers), Advanced Authentication Protocols Security (11 papers), Cloud Data Security Solutions (11 papers) and Smart Grid Security and Resilience (8 papers). The work is most often cited by research in Computer Networks and Communications (736 citations), Artificial Intelligence (878 citations) and Signal Processing (279 citations). Lucas C. K. Hui has collaborated with scholars based in Hong Kong, China and Singapore. Frequent co-authors include Tat Wing Chim, Victor O. K. Li, Siu Ming Yiu, Siu‐Ming Yiu, Rudy Setiono, Patrick Chan, K. P. Chow, Chengcheng Xu, Shuhui Chen and Jinshu Su. Their work appears in journals such as IEEE Communications Surveys & Tutorials, IEEE Communications Magazine and Information Sciences.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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