Cach N. Dang

About

Cach N. Dang is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Cach N. Dang has authored 8 papers receiving a total of 377 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 4 papers in Information Systems and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Cach N. Dang’s work include Sentiment Analysis and Opinion Mining (4 papers), Topic Modeling (3 papers) and Recommender Systems and Techniques (2 papers). Cach N. Dang is often cited by papers focused on Sentiment Analysis and Opinion Mining (4 papers), Topic Modeling (3 papers) and Recommender Systems and Techniques (2 papers). Cach N. Dang collaborates with scholars based in Vietnam, Spain and Ireland. Cach N. Dang's co-authors include Fernando De la Prieta, Marı́a N. Moreno Garcı́a, Vuong M. Ngo, Owen Conlan, Susan McKeever, Juan M. Corchado, Javier Prieto and Ricardo S. Alonso and has published in prestigious journals such as Sensors, Electronics and Complexity.

In The Last Decade

Co-authorship network of co-authors of Cach N. Dang i

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Fields of papers citing papers by Cach N. Dang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Cach N. Dang

Since Specialization

Citations

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