Abigail Lin

6 papers and 285 indexed citations i.

Abigail Lin is a scholar working on Artificial Intelligence, Epidemiology and Genetics. According to data from OpenAlex, Abigail Lin has authored 6 papers receiving a total of 285 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Artificial Intelligence, 1 paper in Epidemiology and 1 paper in Genetics. Recurrent topics in Abigail Lin’s work include Neurobiology and Insect Physiology Research (1 paper), Radiomics and Machine Learning in Medical Imaging (1 paper) and AI in cancer detection (1 paper). Abigail Lin is often cited by papers focused on Neurobiology and Insect Physiology Research (1 paper), Radiomics and Machine Learning in Medical Imaging (1 paper) and AI in cancer detection (1 paper). Abigail Lin collaborates with scholars based in United States. Abigail Lin's co-authors include Hiroaki Matsunami, Eric H. Kossoff, Alice Yu, Ferdinand Hui and Charles R. Smith and has published in prestigious journals such as Nature Neuroscience, Psychosomatics and Pediatric Neurology.