Long Lin
About
Long Lin is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Electronic, Optical and Magnetic Materials.
According to data from OpenAlex, Long Lin has authored 112 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 88 papers in Materials Chemistry, 66 papers in Electrical and Electronic Engineering and 20 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in Long Lin’s work include ZnO doping and properties (40 papers), 2D Materials and Applications (27 papers) and Gas Sensing Nanomaterials and Sensors (21 papers). Long Lin is often cited by papers focused on ZnO doping and properties (40 papers), 2D Materials and Applications (27 papers) and Gas Sensing Nanomaterials and Sensors (21 papers). Long Lin collaborates with scholars based in China, Germany and United States. Long Lin's co-authors include Zhanying Zhang, Linghao Zhu, Hualong Tao, Jingtao Huang and Weiyang Yu and has published in prestigious journals such as Applied Physics Letters, Journal of Applied Physics and Langmuir.
In The Last Decade
Fields of papers citing papers by Long Lin
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 Long Lin. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Long Lin may publish in the future.
Countries citing papers authored by Long Lin
Since SpecializationCitations
This map shows the geographic impact of Long Lin'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 Long Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Long Lin more than expected).
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