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).
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-authorship network of co-authors of Dat Tran
This figure shows the co-authorship network connecting the top 25 collaborators of Dat Tran.
A scholar is included among the top collaborators of Dat Tran based on the total number of
citations received by their joint publications. Widths of edges
represent the number of papers authors have co-authored together.
Node borders
signify the number of papers an author published with Dat Tran. Dat Tran is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Phung, Dinh, et al.. (2014). Using Shannon Entropy as EEG Signal Feature for Fast Person Identification. Own your potential (DEAKIN). 413–418.41 indexed citations
5.
Huynh, Dat, Dat Tran, & Wanli Ma. (2014). Combination Features for Semantic Similarity Measure. University of Canberra Research Portal. 324–327.
6.
Tran, Dat, et al.. (2012). A Proposed Feature Extraction Method for EEG-based Person Identification. Own your potential (DEAKIN). 826–831.39 indexed citations
7.
Tran, Dat, et al.. (2012). Face gender classification based on active appearance model and fuzzy k-nearest neighbors. University of Canberra Research Portal. 617–621.
8.
Tran, Dat, Wanli Ma, & Dharmendra Sharma. (2008). Automated Feature Weighting for Network Anomaly Detection. University of Canberra Research Portal. 8(2). 173–178.1 indexed citations
9.
Ma, Wanli, et al.. (2007). Hoodwinking spam email filters. University of Canberra Research Portal. 533–537.1 indexed citations
10.
Ma, Wanli, Dat Tran, & Dharmendra Sharma. (2007). On Extendable Software Architecture for Spam Email Filtering. University of Canberra Research Portal. 34(1). 924–928.2 indexed citations
11.
Sharma, Dharmendra, Lakhmi C. Jain, Dat Tran, & Wanli Ma. (2007). Proceedings of the 2007 annual Conference on International Conference on Computer Engineering and Applications.4 indexed citations
12.
Chetty, Girija, Dat Tran, & Dharmendra Sharma. (2007). Multimodal fuzzy fusion for biometric identity management. University of Canberra Research Portal. 311–314.2 indexed citations
Ma, Wanli, Dat Tran, & Dharmendra Sharma. (2006). Detecting Spam Email by Extracting Keywords from Image Attachments. University of Canberra Research Portal. 1–10.2 indexed citations
Tran, Dat & Tuan D. Pham. (2006). A Combined Markov and Noise Clustering Modeling Method for Cell Phase Classification. ResearchOnline at James Cook University (James Cook University). 3(3). 161–166.1 indexed citations
18.
Tran, Dat, et al.. (2005). Markov and Fuzzy Models for Written Language Verification. ResearchOnline at James Cook University (James Cook University). 4. 12–16.2 indexed citations
19.
Tran, Dat. (2003). A Proposed Possibilistic Approach to Pattern Verification. International Conference on Artificial Intelligence. 52(5). 975–980.1 indexed citations
20.
Tran, Dat & Michael Wagner. (2001). A generalised normalisation method for speaker verification.. 73–76.1 indexed citations
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.