Lian-Tao Wang
About
Lian-Tao Wang is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics and Artificial Intelligence.
According to data from OpenAlex, Lian-Tao Wang has authored 24 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Nuclear and High Energy Physics, 10 papers in Astronomy and Astrophysics and 2 papers in Artificial Intelligence. Recurrent topics in Lian-Tao Wang’s work include Particle physics theoretical and experimental studies (23 papers), Dark Matter and Cosmic Phenomena (13 papers) and Cosmology and Gravitation Theories (10 papers). Lian-Tao Wang is often cited by papers focused on Particle physics theoretical and experimental studies (23 papers), Dark Matter and Cosmic Phenomena (13 papers) and Cosmology and Gravitation Theories (10 papers). Lian-Tao Wang collaborates with scholars based in United States, China and South Korea. Lian-Tao Wang's co-authors include Itay Yavin, Clifford Cheung, Joshua T. Ruderman, Zhen Liu, Andrea Tesi, Matthew Low, Matthew Baumgart, Gordon Kane, Ian Low and Carlos E. M. Wagner and has published in prestigious journals such as Physical Review Letters, Nature Physics and Journal of High Energy Physics.
In The Last Decade
Co-authorship network of co-authors of Lian-Tao Wang i
Fields of papers citing papers by Lian-Tao Wang
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 Lian-Tao Wang. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Lian-Tao Wang may publish in the future.
Countries citing papers authored by Lian-Tao Wang
Since SpecializationCitations
This map shows the geographic impact of Lian-Tao Wang'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 Lian-Tao Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lian-Tao Wang more than expected).
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