Dat Tran

2.3k citations
206 papers · 1.8k · h-index 21

Impact in

    • Biometric Identification and Security
    • Speech Recognition and Synthesis
    • Advanced Clustering Algorithms Research
    • Anomaly Detection Techniques and Applications

Papers in

Dat Tran

186 papers receiving 1.7k citations

Peers

Dat Tran
Comparison fields: 5 of 88
  • Signal Processing 334
  • Artificial Intelligence 548
  • Cognitive Neuroscience 281
  • Information Systems 317
  • Computational Mathematics 7
Replace Wanli Ma with:
Wanli Ma Australia
Michael A. Casey United States
Debasis Samanta India
Shaohua Teng China
Zehra Kök Çataltepe Türkiye
AbdulMalik S. Al‐Salman Saudi Arabia
Michael Mandel United States
N. Morgan United States
Siqi Liu China
Weiran Wang United States
Dat Tran relative to Wanli Ma Australia Wanli Ma's profile →
Citations per field
00.5×1.5×2.0×
Wanli Ma · 1×
Citations per year

Countries citing papers authored by Dat Tran

Since Specialization
Citations

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

Fields of papers citing papers by Dat Tran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dat Tran. 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 Dat Tran. The network helps show where Dat Tran may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 206 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005107
2 201274
3 200269
4 201962
5 201053
6 201253
7
A Proposed Feature Extraction Method for EEG-based Person Identification
201246
8
Using Shannon Entropy as EEG Signal Feature for Fast Person Identification
201445
9 201444
10 199834
11 200533
12 201333
13 200329
14 200826
15 200225
16 201025
17 200924
18 201024
19 201224
20 201324

About Dat Tran

Dat Tran is a scholar working on Signal Processing, Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition and Cognitive Neuroscience, having authored 206 papers that have together received 1.8k indexed citations. Recurring topics across this work include Biometric Identification and Security (35 papers), EEG and Brain-Computer Interfaces (32 papers), Speech Recognition and Synthesis (28 papers), User Authentication and Security Systems (17 papers), Cell Image Analysis Techniques (13 papers), Spam and Phishing Detection (11 papers), Anomaly Detection Techniques and Applications (11 papers) and Emotion and Mood Recognition (11 papers). The work is most often cited by research in Signal Processing (334 citations), Artificial Intelligence (548 citations), Cognitive Neuroscience (281 citations), Information Systems (317 citations) and Computational Mathematics (7 citations). Dat Tran has collaborated with scholars based in Australia, Vietnam and United States. Frequent co-authors include Wanli Ma, Dharmendra Kumar Sharma, Michael Wagner, Phuoc Nguyen, Xu Huang, Girija Chetty, Trung Le, John Campbell, Yun Zhao and Tuan Hoang. Their work appears in journals such as Lecture notes in computer science, Logic Journal of IGPL, The European Physical Journal Special Topics, Pattern Recognition and Journal of the Association for Information 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.

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