Yun‐Woo Chang

82 papers and 1.0k indexed citations i.

About

Yun‐Woo Chang is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery and Pathology and Forensic Medicine. According to data from OpenAlex, Yun‐Woo Chang has authored 82 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Radiology, Nuclear Medicine and Imaging, 27 papers in Surgery and 16 papers in Pathology and Forensic Medicine. Recurrent topics in Yun‐Woo Chang’s work include MRI in cancer diagnosis (18 papers), Breast Lesions and Carcinomas (14 papers) and Radiomics and Machine Learning in Medical Imaging (12 papers). Yun‐Woo Chang is often cited by papers focused on MRI in cancer diagnosis (18 papers), Breast Lesions and Carcinomas (14 papers) and Radiomics and Machine Learning in Medical Imaging (12 papers). Yun‐Woo Chang collaborates with scholars based in South Korea, United States and Germany. Yun‐Woo Chang's co-authors include Eun Ji Lee, Seong Sook Hong, Hye-Kyung Yoon, Deuk Lin Choi, Dongwan Seo, Hye‐Kyung Lee, Albert Cheung Hoi Yu, George A. Gregory, Dong Erk Goo and John W. Kuluz and has published in prestigious journals such as Nature Communications, Stroke and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of Yun‐Woo Chang i

Fields of papers citing papers by Yun‐Woo Chang

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

Countries citing papers authored by Yun‐Woo Chang

Since Specialization
Citations

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

Rankless by CCL
2025