Shaoxiong Ji

About

Shaoxiong Ji is a scholar working on Artificial Intelligence, Social Psychology and Applied Psychology. According to data from OpenAlex, Shaoxiong Ji has authored 25 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 7 papers in Social Psychology and 4 papers in Applied Psychology. Recurrent topics in Shaoxiong Ji’s work include Machine Learning in Healthcare (8 papers), Topic Modeling (7 papers) and Mental Health via Writing (7 papers). Shaoxiong Ji is often cited by papers focused on Machine Learning in Healthcare (8 papers), Topic Modeling (7 papers) and Mental Health via Writing (7 papers). Shaoxiong Ji collaborates with scholars based in Finland, Australia and Singapore. Shaoxiong Ji's co-authors include Erik Cambria, Shirui Pan, Guodong Long, Pekka Marttinen and Xue Li and has published in prestigious journals such as ACM Computing Surveys, IEEE Transactions on Neural Networks and Learning Systems and Neurocomputing.

In The Last Decade

Fields of papers citing papers by Shaoxiong Ji

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

Countries citing papers authored by Shaoxiong Ji

Since Specialization

Citations

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

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