Jun Liang
About
Jun Liang is a scholar working on Biomedical Engineering, Molecular Biology and Epidemiology.
According to data from OpenAlex, Jun Liang has authored 25 papers receiving a total of 366 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Biomedical Engineering, 5 papers in Molecular Biology and 5 papers in Epidemiology. Recurrent topics in Jun Liang’s work include EEG and Brain-Computer Interfaces (4 papers), Stroke Rehabilitation and Recovery (3 papers) and Traumatic Brain Injury and Neurovascular Disturbances (3 papers). Jun Liang is often cited by papers focused on EEG and Brain-Computer Interfaces (4 papers), Stroke Rehabilitation and Recovery (3 papers) and Traumatic Brain Injury and Neurovascular Disturbances (3 papers). Jun Liang collaborates with scholars based in China, United Arab Emirates and United States. Jun Liang's co-authors include Xiao‐Yin Liu, Sai Zhang, Xiaohong Li, Chong Chen and Jingjing Wang and has published in prestigious journals such as Advanced Materials, Nature Communications and Journal of Neurochemistry.
In The Last Decade
Fields of papers citing papers by Jun Liang
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 Jun Liang. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Jun Liang may publish in the future.
Countries citing papers authored by Jun Liang
Since SpecializationCitations
This map shows the geographic impact of Jun Liang'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 Jun Liang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Liang more than expected).
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