Gang Lv

About

Gang Lv is a scholar working on Infectious Diseases, Electronic, Optical and Magnetic Materials and Molecular Biology. According to data from OpenAlex, Gang Lv has authored 4 papers receiving a total of 264 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Infectious Diseases, 1 paper in Electronic, Optical and Magnetic Materials and 1 paper in Molecular Biology. Recurrent topics in Gang Lv’s work include COVID-19 diagnosis using AI (1 paper), Physiological and biochemical adaptations (1 paper) and Ga2O3 and related materials (1 paper). Gang Lv is often cited by papers focused on COVID-19 diagnosis using AI (1 paper), Physiological and biochemical adaptations (1 paper) and Ga2O3 and related materials (1 paper). Gang Lv collaborates with scholars based in China and United States. Gang Lv's co-authors include Zhuo Tang, Weiqi Li, Jianqun Yang, Ling Lv and Shangli Dong and has published in prestigious journals such as Scientific Reports, Organic Letters and IEEE Transactions on Nuclear Science.

In The Last Decade

Fields of papers citing papers by Gang Lv

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

Countries citing papers authored by Gang Lv

Since Specialization

Citations

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

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