Kun Lan

24 papers and 279 indexed citations i.

About

Kun Lan is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Kun Lan has authored 24 papers receiving a total of 279 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Kun Lan’s work include AI in cancer detection (4 papers), Advanced Image and Video Retrieval Techniques (3 papers) and Brain Tumor Detection and Classification (3 papers). Kun Lan is often cited by papers focused on AI in cancer detection (4 papers), Advanced Image and Video Retrieval Techniques (3 papers) and Brain Tumor Detection and Classification (3 papers). Kun Lan collaborates with scholars based in China, Macao and Australia. Kun Lan's co-authors include Simon Fong, Kelvin K. L. Wong, Nilanjan Dey, Liansheng Liu, Dantong Wang, Xiaoliang Jiang, Rui Tang, Liansheng Liu, Jie Yang and Raymond K. Wong and has published in prestigious journals such as Scientific Reports, Journal of Environmental Management and Expert Systems with Applications.

In The Last Decade

Co-authorship network of co-authors of Kun Lan i

Fields of papers citing papers by Kun Lan

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

Countries citing papers authored by Kun Lan

Since Specialization
Citations

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

Rankless by CCL
2025