Hai Q. Dinh

124 papers and 1.9k indexed citations i.

About

Hai Q. Dinh is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Computational Theory and Mathematics. According to data from OpenAlex, Hai Q. Dinh has authored 124 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 115 papers in Artificial Intelligence, 76 papers in Electrical and Electronic Engineering and 54 papers in Computational Theory and Mathematics. Recurrent topics in Hai Q. Dinh’s work include Coding theory and cryptography (110 papers), graph theory and CDMA systems (76 papers) and Finite Group Theory Research (47 papers). Hai Q. Dinh is often cited by papers focused on Coding theory and cryptography (110 papers), graph theory and CDMA systems (76 papers) and Finite Group Theory Research (47 papers). Hai Q. Dinh collaborates with scholars based in Thailand, Vietnam and United States. Hai Q. Dinh's co-authors include Sergio R. López-Permouth, Songsak Sriboonchitta, Bocong Chen, Yonglin Cao, Woraphon Yamaka, Yuan Cao, Hongwei Liu, Fang‐Wei Fu, Liqi Wang and Sompong Dhompongsa and has published in prestigious journals such as IEEE Transactions on Information Theory, IEEE Access and IEEE Communications Letters.

In The Last Decade

Co-authorship network of co-authors of Hai Q. Dinh i

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Fields of papers citing papers by Hai Q. Dinh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hai Q. Dinh. 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 Hai Q. Dinh. The network helps show where Hai Q. Dinh may publish in the future.

Countries citing papers authored by Hai Q. Dinh

Since Specialization

Citations

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