Frank Kulwa
About
Frank Kulwa is a scholar working on Biophysics, Artificial Intelligence and Computer Vision and Pattern Recognition.
According to data from OpenAlex, Frank Kulwa has authored 21 papers receiving a total of 528 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Biophysics, 8 papers in Artificial Intelligence and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Frank Kulwa’s work include Cell Image Analysis Techniques (8 papers), AI in cancer detection (7 papers) and Image Processing Techniques and Applications (7 papers). Frank Kulwa is often cited by papers focused on Cell Image Analysis Techniques (8 papers), AI in cancer detection (7 papers) and Image Processing Techniques and Applications (7 papers). Frank Kulwa collaborates with scholars based in China, United States and United Kingdom. Frank Kulwa's co-authors include Chen Li, Md Mamunur Rahaman, Jinghua Zhang, Xin Zhao and Shouliang Qi and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Biomedical Engineering and IEEE Access.
In The Last Decade
Fields of papers citing papers by Frank Kulwa
Since SpecializationEngineeringComputer 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 Frank Kulwa. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Frank Kulwa may publish in the future.
Countries citing papers authored by Frank Kulwa
Since SpecializationCitations
This map shows the geographic impact of Frank Kulwa'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 Frank Kulwa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frank Kulwa more than expected).
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