Dat Tran

2.5k citations
153 papers · 1.2k · h-index 17

Impact in

Papers in

Dat Tran

137 papers receiving 1.1k citations

Peers

Dat Tran
Comparison fields: 5 of 120
  • Signal Processing 341
  • Artificial Intelligence 474
  • Computer Vision and Pattern Recognition 288
  • Cognitive Neuroscience 251
  • Human-Computer Interaction 68
Replace Sheng-hua Zhong with:
Sheng-hua Zhong China
Yun Luo China
Xin Qi China
Lin Feng China
Debasis Samanta India
Mohammad I. Daoud Jordan
Muhammad Ehatisham-ul-Haq Pakistan
Xiaoqing Gu China
Amardeep Singh India
Dat Tran relative to Sheng-hua Zhong China Sheng-hua Zhong's profile →
Citations per field
00.5×1.5×
Sheng-hua Zhong · 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 153 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200595
2 200259
3 201953
4 201043
5 201243
6
Using Shannon Entropy as EEG Signal Feature for Fast Person Identification
201441
7
A Proposed Feature Extraction Method for EEG-based Person Identification
201239
8 201435
9 199832
10 201327
11 200327
12 201024
13 200921
14 201519
15 201219
16 200818
17 201717
18 201016
19 199115
20 199314

About Dat Tran

Dat Tran is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Information Systems and Cognitive Neuroscience, having authored 153 papers that have together received 1.2k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (27 papers), Speech Recognition and Synthesis (22 papers), User Authentication and Security Systems (17 papers), Face and Expression Recognition (16 papers), Speech and Audio Processing (16 papers), Network Security and Intrusion Detection (14 papers), Biometric Identification and Security (13 papers) and Anomaly Detection Techniques and Applications (10 papers). The work is most often cited by research in Signal Processing (341 citations), Artificial Intelligence (474 citations), Computer Vision and Pattern Recognition (288 citations), Cognitive Neuroscience (251 citations) and Human-Computer Interaction (68 citations). Dat Tran has collaborated with scholars based in Australia, Vietnam and United States. Frequent co-authors include Wanli Ma, Michael Wagner, Dharmendra Sharma, Girija Chetty, Xu Huang, Phuoc Nguyen, Dinh Phung, Trung Le, John Campbell and Dang Tuan Nguyen. Their work appears in journals such as Logic Journal of IGPL, The European Physical Journal Special Topics, Neural Computing and Applications, Neurocomputing and IMA Journal of Numerical Analysis.

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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