Alzheimer’s Disease Detection Using Deep Learning on Neuroimaging: A Systematic Review

45 indexed citations
published 2024
Journal
SHILAP Revista de lepidopterología

Countries where authors are citing Alzheimer’s Disease Detection Using Deep Learning on Neuroimaging: A Systematic Review

Specialization
Citations

This map shows the geographic impact of Alzheimer’s Disease Detection Using Deep Learning on Neuroimaging: A Systematic Review. 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 Alzheimer’s Disease Detection Using Deep Learning on Neuroimaging: A Systematic Review with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alzheimer’s Disease Detection Using Deep Learning on Neuroimaging: A Systematic Review more than expected).

Fields of papers citing Alzheimer’s Disease Detection Using Deep Learning on Neuroimaging: A Systematic Review

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Alzheimer’s Disease Detection Using Deep Learning on Neuroimaging: A Systematic Review. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Alzheimer’s Disease Detection Using Deep Learning on Neuroimaging: A Systematic Review.

About Alzheimer’s Disease Detection Using Deep Learning on Neuroimaging: A Systematic Review

This paper, published in 2024, received 45 indexed citations . Written by Suhuai Luo and Kamran Shaukat covering the research area of Neurology, Radiology, Nuclear Medicine and Imaging and Psychiatry and Mental health. It is primarily cited by scholars working on Neurology (24 citations), Artificial Intelligence (20 citations) and Computer Vision and Pattern Recognition (9 citations). Published in SHILAP Revista de lepidopterología.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

This paper is also available at doi.org/10.3390/make6010024.

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