Hung–Min Sun

5.6k citations
195 papers · 4.2k · h-index 34

Impact in

Papers in

Hung–Min Sun

185 papers receiving 3.8k citations

Peers

Hung–Min Sun
Comparison fields: 5 of 93
  • Computer Networks and Communications 2.4k
  • Information Systems 2.2k
  • Signal Processing 800
  • Artificial Intelligence 1.8k
  • Computer Vision and Pattern Recognition 955
Replace Dongho Won with:
Dongho Won South Korea
Wojciech Mazurczyk Poland
Nikita Borisov United States
Kaiping Xue China
Wolfgang Kellerer Germany
Nina Taft United States
Claude Castelluccia France
Jingren Zhou China
Renzo Angles Chile
Man Ho Au Hong Kong
Hung–Min Sun relative to Dongho Won South Korea Dongho Won's profile →
Citations per field
00.5×3.5×
Dongho Won · 1×
Citations per year

Countries citing papers authored by Hung–Min Sun

Since Specialization
Citations

This map shows the geographic impact of Hung–Min Sun'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 Hung–Min Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hung–Min Sun more than expected).

Fields of papers citing papers by Hung–Min Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hung–Min Sun. 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 Hung–Min Sun. The network helps show where Hung–Min Sun may publish in the future.

Co-authors

The 25 scholars most cited alongside Hung–Min Sun, 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 Hung–Min Sun Line = papers co-authored together Hung–Min Sun links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 195 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008351
2 2000311
3
An Efficient Remote User Authentication Scheme Using Smart Cards
2000217
4 2000138
5 2001109
6 2011107
7 1999107
8 200999
9 201197
10 200896
11 200792
12 199991
13 201683
14
Attacks and Solutions on Strong-Password Authentication
200181
15 201977
16 200475
17 202065
18 201064
19 200961
20 201360

About Hung–Min Sun

Hung–Min Sun is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Computer Vision and Pattern Recognition and Signal Processing, having authored 195 papers that have together received 4.2k indexed citations. Recurring topics across this work include Cryptography and Data Security (77 papers), Advanced Authentication Protocols Security (50 papers), User Authentication and Security Systems (35 papers), Chaos-based Image/Signal Encryption (25 papers), Coding theory and cryptography (20 papers), Cryptography and Residue Arithmetic (20 papers), Security in Wireless Sensor Networks (17 papers) and Advanced Malware Detection Techniques (17 papers). The work is most often cited by research in Computer Networks and Communications (2.4k citations), Information Systems (2.2k citations), Signal Processing (800 citations), Artificial Intelligence (1.8k citations) and Computer Vision and Pattern Recognition (955 citations). Hung–Min Sun has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Yue-Hsun Lin, Chien‐Ming Chen, Chi-Yao Weng, Cheng-Hsing Yang, Tzonelih Hwang, Shiuh-Jeng Wang, Chun‐Li Lin, King-Hang Wang, Tzonelih Hwang and Mu‐En Wu. Their work appears in journals such as Journal of Systems and Software, IEEE Communications Letters, Electronics Letters, IEEE Access and IEEE Transactions on Information Forensics and Security.

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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