Long Han

About

Long Han is a scholar working on Organic Chemistry, Cognitive Neuroscience and Computer Vision and Pattern Recognition. According to data from OpenAlex, Long Han has authored 17 papers receiving a total of 433 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Organic Chemistry, 4 papers in Cognitive Neuroscience and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Long Han’s work include Functional Brain Connectivity Studies (4 papers), Asymmetric Synthesis and Catalysis (4 papers) and Robotics and Sensor-Based Localization (4 papers). Long Han is often cited by papers focused on Functional Brain Connectivity Studies (4 papers), Asymmetric Synthesis and Catalysis (4 papers) and Robotics and Sensor-Based Localization (4 papers). Long Han collaborates with scholars based in China, Hong Kong and Germany. Long Han's co-authors include Xiaochu Zhang, Rujing Zha, Shu‐Li You, Zhengde Wei and Lizhuang Yang and has published in prestigious journals such as NeuroImage, Chemical Communications and Scientific Reports.

In The Last Decade

Fields of papers citing papers by Long Han

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

Countries citing papers authored by Long Han

Since Specialization

Citations

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

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