Jun-e Liu

15 papers and 436 indexed citations i.

About

Jun-e Liu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Jun-e Liu has authored 15 papers receiving a total of 436 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Jun-e Liu’s work include Radiomics and Machine Learning in Medical Imaging (3 papers), Medical Image Segmentation Techniques (3 papers) and Advanced Neural Network Applications (3 papers). Jun-e Liu is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (3 papers), Medical Image Segmentation Techniques (3 papers) and Advanced Neural Network Applications (3 papers). Jun-e Liu collaborates with scholars based in China and Singapore. Jun-e Liu's co-authors include Zhiguo Wan, Robert H. Deng, Fengping An, Rui Zhang, Si Gao, Bingwu Liu, Wei Gu and Hairong Liu and has published in prestigious journals such as Information Fusion, IEEE Transactions on Information Forensics and Security and IEEE Transactions on Multimedia.

In The Last Decade

Co-authorship network of co-authors of Jun-e Liu i

Fields of papers citing papers by Jun-e Liu

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

Countries citing papers authored by Jun-e Liu

Since Specialization
Citations

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

Rankless by CCL
2025