Aaron Long

6 papers and 605 indexed citations i.

About

Aaron Long is a scholar working on Artificial Intelligence, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Aaron Long has authored 6 papers receiving a total of 605 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 2 papers in Pulmonary and Respiratory Medicine and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Aaron Long’s work include Digital Radiography and Breast Imaging (2 papers), Image Processing Techniques and Applications (2 papers) and AI in cancer detection (2 papers). Aaron Long is often cited by papers focused on Digital Radiography and Breast Imaging (2 papers), Image Processing Techniques and Applications (2 papers) and AI in cancer detection (2 papers). Aaron Long collaborates with scholars based in United States, Mexico and Japan. Aaron Long's co-authors include Humberto R. Gutiérrez, Florentino López‐Urías, Néstor Perea‐López, Yoong Ahm Kim, Ruitao Lv, Takuya Hayashi, Simin Feng, Ana Laura Elías, Nihar Pradhan and Luis Balicas and has published in prestigious journals such as ACS Nano, Pediatric Radiology and Radiology Artificial Intelligence.

In The Last Decade

Co-authorship network of co-authors of Aaron Long i

Fields of papers citing papers by Aaron Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aaron Long. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Aaron Long. The network helps show where Aaron Long may publish in the future.

Countries citing papers authored by Aaron Long

Since Specialization
Citations

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

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.

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2025