Gai Li
About
Gai Li is a scholar working on Electrical and Electronic Engineering, Information Systems and Artificial Intelligence.
According to data from OpenAlex, Gai Li has authored 29 papers receiving a total of 468 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Electrical and Electronic Engineering, 8 papers in Information Systems and 7 papers in Artificial Intelligence. Recurrent topics in Gai Li’s work include Recommender Systems and Techniques (7 papers), Fuel Cells and Related Materials (3 papers) and Electrocatalysts for Energy Conversion (3 papers). Gai Li is often cited by papers focused on Recommender Systems and Techniques (7 papers), Fuel Cells and Related Materials (3 papers) and Electrocatalysts for Energy Conversion (3 papers). Gai Li collaborates with scholars based in China, Japan and United States. Gai Li's co-authors include Baokang Jin, Liyang Wang, Yian Zhu, Yupeng Tian and Chang‐Jie Mao and has published in prestigious journals such as Chemical Communications, Scientific Reports and Electrochimica Acta.
In The Last Decade
Fields of papers citing papers by Gai Li
Since SpecializationEngineeringComputer 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 Gai Li. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Gai Li may publish in the future.
Countries citing papers authored by Gai Li
Since SpecializationCitations
This map shows the geographic impact of Gai 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 Gai Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gai Li more than expected).
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