Kang Gu
About
Kang Gu is a scholar working on Biomedical Engineering, Artificial Intelligence and Cognitive Neuroscience.
According to data from OpenAlex, Kang Gu has authored 11 papers receiving a total of 341 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Biomedical Engineering, 4 papers in Artificial Intelligence and 3 papers in Cognitive Neuroscience. Recurrent topics in Kang Gu’s work include Muscle activation and electromyography studies (3 papers), Advanced Sensor and Energy Harvesting Materials (2 papers) and Topic Modeling (2 papers). Kang Gu is often cited by papers focused on Muscle activation and electromyography studies (3 papers), Advanced Sensor and Energy Harvesting Materials (2 papers) and Topic Modeling (2 papers). Kang Gu collaborates with scholars based in China, United States and United Kingdom. Kang Gu's co-authors include Xinrong Chen, Temiloluwa Prioleau, Shu Shen, Ruchuan Wang and Soroush Vosoughi and has published in prestigious journals such as IEEE Access, IEEE Sensors Journal and Current Microbiology.
In The Last Decade
Fields of papers citing papers by Kang Gu
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 Kang Gu. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Kang Gu may publish in the future.
Countries citing papers authored by Kang Gu
Since SpecializationCitations
This map shows the geographic impact of Kang Gu'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 Kang Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kang Gu more than expected).
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