Phuc Do

30 papers and 164 indexed citations i.

About

Phuc Do is a scholar working on Artificial Intelligence, Information Systems and Statistical and Nonlinear Physics. According to data from OpenAlex, Phuc Do has authored 30 papers receiving a total of 164 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 12 papers in Information Systems and 9 papers in Statistical and Nonlinear Physics. Recurrent topics in Phuc Do’s work include Advanced Graph Neural Networks (15 papers), Topic Modeling (12 papers) and Complex Network Analysis Techniques (9 papers). Phuc Do is often cited by papers focused on Advanced Graph Neural Networks (15 papers), Topic Modeling (12 papers) and Complex Network Analysis Techniques (9 papers). Phuc Do collaborates with scholars based in Vietnam, India and Pakistan. Phuc Do's co-authors include Phu Pham and Brij B. Gupta and has published in prestigious journals such as Scientific Reports, Expert Systems with Applications and Neural Computing and Applications.

In The Last Decade

Co-authorship network of co-authors of Phuc Do i

Fields of papers citing papers by Phuc Do

Since Specialization
EngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics

This network shows the specialization of papers citing the papers produced by Phuc Do. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Phuc Do may publish in the future.

Countries citing papers authored by Phuc Do

Since Specialization
Citations

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

Rankless by CCL
2025