Sukun Tian

36 papers and 466 indexed citations i.

About

Sukun Tian is a scholar working on Oral Surgery, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Sukun Tian has authored 36 papers receiving a total of 466 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Oral Surgery, 9 papers in Artificial Intelligence and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Sukun Tian’s work include AI in cancer detection (9 papers), Dental Radiography and Imaging (8 papers) and Radiomics and Machine Learning in Medical Imaging (7 papers). Sukun Tian is often cited by papers focused on AI in cancer detection (9 papers), Dental Radiography and Imaging (8 papers) and Radiomics and Machine Learning in Medical Imaging (7 papers). Sukun Tian collaborates with scholars based in China, Hong Kong and Italy. Sukun Tian's co-authors include Ning Dai, Pan Huang, Haifeng Ma, Peng Feng and Francesco Mercaldo and has published in prestigious journals such as IEEE Transactions on Medical Imaging, IEEE Access and Clinical Oral Implants Research.

In The Last Decade

Fields of papers citing papers by Sukun Tian

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

Countries citing papers authored by Sukun Tian

Since Specialization
Citations

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

Rankless by CCL
2025