Chin‐Tser Huang

1.5k citations
100 papers · 966 indexed · h-index 15

Impact in

Papers in

Chin‐Tser Huang

93 papers receiving 911 citations

Peers

Chin‐Tser Huang
Comparison fields: 5 of 75
  • Computer Networks and Communications 622
  • Information Systems 279
  • Signal Processing 125
  • Artificial Intelligence 346
  • Hardware and Architecture 47
Replace Christian Doerr with:
Christian Doerr Netherlands
Vladimir Vlassov Sweden
Shiduan Cheng China
Aaron Harwood Australia
Aaron Schulman United States
Alessandro Finamore Italy
Venugopalan Ramasubramanian United States
Kyoungwon Suh United States
Paul Castro United States
Marco Chiesa Sweden
Chin‐Tser Huang relative to Christian Doerr Netherlands Christian Doerr's profile →
Citations per field
00.5×1.5×2.2×
Christian Doerr · 1×
Citations per year

Countries citing papers authored by Chin‐Tser Huang

Since Specialization
Citations

This map shows the geographic impact of Chin‐Tser Huang'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 Chin‐Tser Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chin‐Tser Huang more than expected).

Fields of papers citing papers by Chin‐Tser Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chin‐Tser Huang. 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 Chin‐Tser Huang. The network helps show where Chin‐Tser Huang may publish in the future.

Co-authors

The 25 scholars most cited alongside Chin‐Tser Huang, 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 Chin‐Tser Huang Line = papers co-authored together Chin‐Tser Huang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20242
2 20242
3 20240
4 20240
5 20233
6 20233
7 20231
8 20230
9 202230
10 20225
11 20221
12 20224
13 20201
14 201913
15 201810
16
Automatic Generation of Security Protocol Implementations Written in Java from Abstract Specifications Proved in the Computational Model.
20171
17
Cloud Security
20162
18 20168
19 20161
20 20093

About Chin‐Tser Huang

Chin‐Tser Huang is a scholar working on Computer Networks and Communications, Signal Processing, Information Systems, Artificial Intelligence and Transplantation, having authored 100 papers that have together received 966 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (24 papers), Advanced Authentication Protocols Security (17 papers), Internet Traffic Analysis and Secure E-voting (17 papers), Cryptography and Data Security (16 papers), Advanced Malware Detection Techniques (15 papers), Blockchain Technology Applications and Security (12 papers), User Authentication and Security Systems (11 papers) and Mobile Ad Hoc Networks (10 papers). The work is most often cited by research in Computer Networks and Communications (622 citations), Information Systems (279 citations), Signal Processing (125 citations), Artificial Intelligence (346 citations) and Hardware and Architecture (47 citations). Chin‐Tser Huang has collaborated with scholars based in United States, Taiwan and China. Frequent co-authors include Manton M. Matthews, Mohamed G. Gouda, Hwalbin Kim, Jo-Yun Li, Jijun Tang, S. Mo Jones-Jang, Jie Huang, J. Morris Chang, Sejun Song and Wei Peng. Their work appears in journals such as IEEE Journal of Radio Frequency Identification, IEEE Access, IEEE Transactions on Dependable and Secure Computing, IEEE Cloud Computing and Journal of Network and Computer Applications.

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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2026