Fa Wu

16 papers and 901 indexed citations i.

About

Fa Wu is a scholar working on Biomedical Engineering, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Fa Wu has authored 16 papers receiving a total of 901 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Biomedical Engineering, 6 papers in Computer Vision and Pattern Recognition and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Fa Wu’s work include Medical Image Segmentation Techniques (6 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Thyroid Cancer Diagnosis and Treatment (4 papers). Fa Wu is often cited by papers focused on Medical Image Segmentation Techniques (6 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Thyroid Cancer Diagnosis and Treatment (4 papers). Fa Wu collaborates with scholars based in China, United States and Hong Kong. Fa Wu's co-authors include De-Xing Kong, Peijun Hu, Jinlian Ma, Jiang Zhu, Jialin Peng, Dexing Kong, Lu Fang, Tianan Jiang, Zhiyi Peng and Dong Xu and has published in prestigious journals such as Physics in Medicine and Biology, Medical Physics and Computers in Biology and Medicine.

In The Last Decade

Co-authorship network of co-authors of Fa Wu i

Fields of papers citing papers by Fa 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 Fa Wu. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Fa Wu may publish in the future.

Countries citing papers authored by Fa Wu

Since Specialization
Citations

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

Rankless by CCL
2025