Lisa Tang

About

Lisa Tang is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Lisa Tang has authored 46 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 11 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Molecular Biology. Recurrent topics in Lisa Tang’s work include Medical Image Segmentation Techniques (11 papers), Medical Imaging Techniques and Applications (5 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). Lisa Tang is often cited by papers focused on Medical Image Segmentation Techniques (11 papers), Medical Imaging Techniques and Applications (5 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). Lisa Tang collaborates with scholars based in Canada, United States and China. Lisa Tang's co-authors include Roger Tam, Anthony Traboulsee, Youngjin Yoo, David K.B. Li, Tom Brosch, Ghassan Hamarneh, Victor A. Tron, Paul Sillitoe, Katrina Brown and Robert Bissonnette and has published in prestigious journals such as Journal of Biological Chemistry, Neurology and Clinical Orthopaedics and Related Research.

In The Last Decade

Co-authorship network of co-authors of Lisa Tang i

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Fields of papers citing papers by Lisa Tang

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

Countries citing papers authored by Lisa Tang

Since Specialization

Citations

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

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