Sin G. Teo

951 citations
27 papers · 638 indexed · h-index 10

Impact in

Papers in

    • Advanced Malware Detection Techniques 8
    • Privacy-Preserving Technologies in Data 6
    • Internet Traffic Analysis and Secure E-voting 5
    • Cryptography and Data Security 5
    • Anomaly Detection Techniques and Applications 5

Sin G. Teo

22 papers receiving 616 citations

Peers

Sin G. Teo
Comparison fields: 5 of 93
  • Transportation 165
  • Building and Construction 224
  • Signal Processing 121
  • Artificial Intelligence 245
  • Computer Networks and Communications 141
Replace Haitao Yuan with:
Haitao Yuan China
Zonghui Wang China
Nan Han China
Zongtao Duan China
Karine Zeitouni France
Huan Yan China
Jiayun Luo Singapore
Usue Mori Spain
Xiang Wei China
Jilin Hu Denmark
Sin G. Teo relative to Haitao Yuan China Haitao Yuan's profile →
Citations per field
00.5×1.5×2.0×
Haitao Yuan · 1×
Citations per year

Countries citing papers authored by Sin G. Teo

Since Specialization
Citations

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

Fields of papers citing papers by Sin G. Teo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sin G. Teo. 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 Sin G. Teo. The network helps show where Sin G. Teo may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Sin G. Teo, 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 Sin G. Teo Line = papers co-authored together Sin G. Teo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20250
4 20230
5 20231
6 20226
7 202234
8 20225
9 202221
10 20213
11 20216
12 202029
13 2020183
14 20201
15 2019167
16 201817
17 201861
18 201836
19 20139
20 20127

About Sin G. Teo

Sin G. Teo is a scholar working on Signal Processing, Artificial Intelligence, Computer Networks and Communications, Information Systems and Building and Construction, having authored 27 papers that have together received 638 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (10 papers), Advanced Malware Detection Techniques (8 papers), Privacy-Preserving Technologies in Data (6 papers), Internet Traffic Analysis and Secure E-voting (5 papers), Cryptography and Data Security (5 papers), Anomaly Detection Techniques and Applications (5 papers), Traffic Prediction and Management Techniques (4 papers) and Traffic control and management (3 papers). The work is most often cited by research in Transportation (165 citations), Building and Construction (224 citations), Signal Processing (121 citations), Artificial Intelligence (245 citations) and Computer Networks and Communications (141 citations). Sin G. Teo has collaborated with scholars based in Singapore, Australia and China. Frequent co-authors include Zeng Zeng, Kenli Li, Xiaofeng Zou, Cen Chen, Keqin Li, Jie Wang, Kang Wang, Tram Truong-Huu, Vincent C. S. Lee and Ling Chen. Their work appears in journals such as IEEE Transactions on Dependable and Secure Computing, Journal of Information Security and Applications, ACM Transactions on Knowledge Discovery from Data, Software Practice and Experience and Autonomous Agents and Multi-Agent Systems.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026