Pin Shen Teh

850 citations
18 papers · 545 indexed · h-index 12

Pin Shen Teh

17 papers receiving 513 citations

Peers

Pin Shen Teh
Comparison fields: 5 of 64
  • Signal Processing 357
  • Human-Computer Interaction 162
  • Information Systems 442
  • Computer Vision and Pattern Recognition 102
  • Experimental and Cognitive Psychology 53
Replace Kevin S. Killourhy with:
Kevin S. Killourhy United States
Attaullah Buriro Italy
Alina Hang Germany
Soumik Mondal Norway
Frederik Brudy United Kingdom
Ahmed Awad E. Ahmed Canada
Margit Antal Romania
M.G. Lizarraga Brazil
Simon Eberz United Kingdom
Alejandro Acien Spain
Pin Shen Teh relative to Kevin S. Killourhy United States Kevin S. Killourhy's profile →
Citations per field
00.5×1.5×2.4×
Kevin S. Killourhy · 1×
Citations per year

Countries citing papers authored by Pin Shen Teh

Since Specialization
Citations

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

Fields of papers citing papers by Pin Shen Teh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pin Shen Teh. 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 Pin Shen Teh. The network helps show where Pin Shen Teh may publish in the future.

Co-authorship network

The 17 scholars most cited alongside Pin Shen Teh, 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 Pin Shen Teh Line = papers co-authored together Pin Shen Teh links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 20243
2 20240
3 20242
4 20241
5 202319
6 202011
7 201922
8 201929
9 2016111
10 201615
11 201513
12 2013205
13
FEATURE FUSION APPROACH ON KEYSTROKE DYNAMICS EFFICIENCY ENHANCEMENT
201214
14 201211
15 201034
16 200920
17
Performance Enhancement on Keystroke Dynamics by Using Fusion Rules
20081
18 200734

About Pin Shen Teh

Pin Shen Teh is a scholar working on Human-Computer Interaction, Signal Processing, General Decision Sciences, Information Systems and Applied Psychology, having authored 18 papers that have together received 545 indexed citations. Recurring topics across this work include User Authentication and Security Systems (11 papers), Biometric Identification and Security (7 papers), Advanced Malware Detection Techniques (4 papers), Anomaly Detection Techniques and Applications (3 papers), Hand Gesture Recognition Systems (3 papers), Names, Identity, and Discrimination Research (2 papers), Authorship Attribution and Profiling (2 papers) and Topic Modeling (2 papers). The work is most often cited by research in Signal Processing (357 citations), Human-Computer Interaction (162 citations), Information Systems (442 citations), Computer Vision and Pattern Recognition (102 citations) and Experimental and Cognitive Psychology (53 citations). Pin Shen Teh has collaborated with scholars based in United Kingdom, South Korea and Malaysia. Frequent co-authors include Andrew Beng Jin Teoh, Shigang Yue, Ning Zhang, Ke Chen, Thian Song Ong, Tee Connie, Qi Shi, Raheel Nawaz, Syh‐Yuan Tan and Stephen J. Payne. Their work appears in journals such as IEEE Access, Pattern Analysis and Applications, Computers & Security, Journal of Ambient Intelligence and Humanized Computing and International Journal of Human-Computer Studies.

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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