Peter Appiahene

About

Peter Appiahene is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Peter Appiahene has authored 44 papers receiving a total of 284 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Peter Appiahene’s work include Digital Imaging for Blood Diseases (7 papers), Iron Metabolism and Disorders (5 papers) and AI in cancer detection (4 papers). Peter Appiahene is often cited by papers focused on Digital Imaging for Blood Diseases (7 papers), Iron Metabolism and Disorders (5 papers) and AI in cancer detection (4 papers). Peter Appiahene collaborates with scholars based in Ghana, China and Australia. Peter Appiahene's co-authors include V. Vijayakumar, Giovanni Dimauro, Tao Zhang, Rosalia Maglietta, Tao Zhang, Kingsley Kofi Arthur, Helena Oppong-Kyeremeh, Kunal Chaturvedi, Onyemaechi Okpara Azu and Richard Kwasi Bannor and has published in prestigious journals such as PLoS ONE, Engineering Applications of Artificial Intelligence and Journal Of Big Data.

In The Last Decade

Co-authorship network of co-authors of Peter Appiahene i

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Fields of papers citing papers by Peter Appiahene

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

Countries citing papers authored by Peter Appiahene

Since Specialization

Citations

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

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