Sha Li

About

Sha Li is a scholar working on Artificial Intelligence, Developmental and Educational Psychology and Cognitive Neuroscience. According to data from OpenAlex, Sha Li has authored 32 papers receiving a total of 398 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 13 papers in Developmental and Educational Psychology and 7 papers in Cognitive Neuroscience. Recurrent topics in Sha Li’s work include Reading and Literacy Development (9 papers), Topic Modeling (6 papers) and Natural Language Processing Techniques (6 papers). Sha Li is often cited by papers focused on Reading and Literacy Development (9 papers), Topic Modeling (6 papers) and Natural Language Processing Techniques (6 papers). Sha Li collaborates with scholars based in China, United States and United Kingdom. Sha Li's co-authors include Jingxin Wang, Kevin B. Paterson, Victoria A. McGowan, Fang Xie and Sarah J. White and has published in prestigious journals such as Scientific Reports, Computers in Human Behavior and Psychology and Aging.

In The Last Decade

Fields of papers citing papers by Sha Li

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

Countries citing papers authored by Sha Li

Since Specialization

Citations

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

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