S TAN

About

S TAN is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, S TAN has authored 5 papers receiving a total of 636 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 3 papers in Information Systems and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in S TAN’s work include Text and Document Classification Technologies (4 papers), Web Data Mining and Analysis (2 papers) and Spam and Phishing Detection (2 papers). S TAN is often cited by papers focused on Text and Document Classification Technologies (4 papers), Web Data Mining and Analysis (2 papers) and Spam and Phishing Detection (2 papers). S TAN collaborates with scholars based in China. S TAN's co-authors include Jianyun Zhang, Tianlong Gu and Long Li and has published in prestigious journals such as Expert Systems with Applications and IEEE Transactions on Industrial Informatics.

In The Last Decade

Co-authorship network of co-authors of S TAN i

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Fields of papers citing papers by S TAN

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 S TAN. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where S TAN may publish in the future.

Countries citing papers authored by S TAN

Since Specialization

Citations

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

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