John Suckling

3 papers and 41 indexed citations i.

John Suckling is a scholar working on Molecular Biology, Biophysics and Artificial Intelligence. According to data from OpenAlex, John Suckling has authored 3 papers receiving a total of 41 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 1 paper in Biophysics and 1 paper in Artificial Intelligence. Recurrent topics in John Suckling’s work include Gene expression and cancer classification (1 paper), Domain Adaptation and Few-Shot Learning (1 paper) and Machine Learning and Algorithms (1 paper). John Suckling is often cited by papers focused on Gene expression and cancer classification (1 paper), Domain Adaptation and Few-Shot Learning (1 paper) and Machine Learning and Algorithms (1 paper). John Suckling collaborates with scholars based in United Kingdom, Spain and Germany. John Suckling's co-authors include Javier Ramı́rez, J. M. Górriz, Lyn S. Pilowsky, C. Jiménez-Mesa and Paul D. Acton and has published in prestigious journals such as Pattern Recognition, European Journal of Nuclear Medicine and Molecular Imaging and Information Fusion.