Ying‐Kai Fu

About

Ying‐Kai Fu is a scholar working on Materials Chemistry, Radiology, Nuclear Medicine and Imaging and Electrical and Electronic Engineering. According to data from OpenAlex, Ying‐Kai Fu has authored 38 papers receiving a total of 417 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Materials Chemistry, 8 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Electrical and Electronic Engineering. Recurrent topics in Ying‐Kai Fu’s work include Luminescence Properties of Advanced Materials (9 papers), Pain Management and Opioid Use (5 papers) and Perovskite Materials and Applications (5 papers). Ying‐Kai Fu is often cited by papers focused on Luminescence Properties of Advanced Materials (9 papers), Pain Management and Opioid Use (5 papers) and Perovskite Materials and Applications (5 papers). Ying‐Kai Fu collaborates with scholars based in Taiwan, United States and China. Ying‐Kai Fu's co-authors include Tzu‐Chen Yen, Wuu‐Jyh Lin, Yu-Chen Chang, Christopher S. Lange, Gary E. Kaufman, Morton W. Miller, Joseph Tung‐Chieh Chang, Shu‐Hang Ng, Sheng-Chieh Chan and Kun‐Ju Lin and has published in prestigious journals such as Chemical Engineering Journal, Journal of Alloys and Compounds and International Journal of Computer Vision.

In The Last Decade

Co-authorship network of co-authors of Ying‐Kai Fu i

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Fields of papers citing papers by Ying‐Kai Fu

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

Countries citing papers authored by Ying‐Kai Fu

Since Specialization

Citations

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

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