Yi‐Ta Wu

20 papers and 360 indexed citations i.

About

Yi‐Ta Wu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Yi‐Ta Wu has authored 20 papers receiving a total of 360 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 7 papers in Artificial Intelligence and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Yi‐Ta Wu’s work include AI in cancer detection (6 papers), Advanced Steganography and Watermarking Techniques (4 papers) and Digital Radiography and Breast Imaging (4 papers). Yi‐Ta Wu is often cited by papers focused on AI in cancer detection (6 papers), Advanced Steganography and Watermarking Techniques (4 papers) and Digital Radiography and Breast Imaging (4 papers). Yi‐Ta Wu collaborates with scholars based in United States and Taiwan. Yi‐Ta Wu's co-authors include Frank Y. Shih, Lubomir M. Hadjiiski, Berkman Sahiner, Jun Wei, Jiazheng Shi, Heang‐Ping Chan, Chuan Zhou, Mark A. Helvie, Jun Ge and Yiheng Zhang and has published in prestigious journals such as Medical Physics, Pattern Recognition and Computer Vision and Image Understanding.

In The Last Decade

Co-authorship network of co-authors of Yi‐Ta Wu i

Fields of papers citing papers by Yi‐Ta Wu

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

Countries citing papers authored by Yi‐Ta Wu

Since Specialization
Citations

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

Rankless by CCL
2025