Tommy Dang

45 papers and 433 indexed citations i.

About

Tommy Dang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Tommy Dang has authored 45 papers receiving a total of 433 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Computer Vision and Pattern Recognition, 16 papers in Artificial Intelligence and 11 papers in Signal Processing. Recurrent topics in Tommy Dang’s work include Data Visualization and Analytics (25 papers), Complex Network Analysis Techniques (9 papers) and Time Series Analysis and Forecasting (8 papers). Tommy Dang is often cited by papers focused on Data Visualization and Analytics (25 papers), Complex Network Analysis Techniques (9 papers) and Time Series Analysis and Forecasting (8 papers). Tommy Dang collaborates with scholars based in United States, Japan and Canada. Tommy Dang's co-authors include Leland Wilkinson, Vung Pham, Anushka Anand, Angus G. Forbes, David C. Weindorf, Vinh T. Nguyen, Paul Murray, Jean Michaud, Michael Vassilyadi and Enrique C. G. Ventureyra and has published in prestigious journals such as IEEE Access, Geoderma and Computers and Electronics in Agriculture.

In The Last Decade

Co-authorship network of co-authors of Tommy Dang i

Fields of papers citing papers by Tommy Dang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Tommy Dang

Since Specialization
Citations

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

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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