Guang Lin

About

Guang Lin is a scholar working on Molecular Biology, Artificial Intelligence and Cell Biology. According to data from OpenAlex, Guang Lin has authored 33 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 7 papers in Artificial Intelligence and 6 papers in Cell Biology. Recurrent topics in Guang Lin’s work include Quantum Information and Cryptography (7 papers), Quantum optics and atomic interactions (5 papers) and Lysosomal Storage Disorders Research (5 papers). Guang Lin is often cited by papers focused on Quantum Information and Cryptography (7 papers), Quantum optics and atomic interactions (5 papers) and Lysosomal Storage Disorders Research (5 papers). Guang Lin collaborates with scholars based in United States, China and Taiwan. Guang Lin's co-authors include Hugo J. Bellen, Yueping Niu, Zhongyuan Zuo, Kuchuan Chen and Dongxue Mao and has published in prestigious journals such as Journal of Biological Chemistry, Genes & Development and Applied Physics Letters.

In The Last Decade

Fields of papers citing papers by Guang Lin

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

Countries citing papers authored by Guang Lin

Since Specialization

Citations

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

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