Saleh Albahli

66 papers and 923 indexed citations i.

About

Saleh Albahli is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition. According to data from OpenAlex, Saleh Albahli has authored 66 papers receiving a total of 923 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 21 papers in Radiology, Nuclear Medicine and Imaging and 14 papers in Computer Vision and Pattern Recognition. Recurrent topics in Saleh Albahli’s work include COVID-19 diagnosis using AI (16 papers), AI in cancer detection (10 papers) and Anomaly Detection Techniques and Applications (7 papers). Saleh Albahli is often cited by papers focused on COVID-19 diagnosis using AI (16 papers), AI in cancer detection (10 papers) and Anomaly Detection Techniques and Applications (7 papers). Saleh Albahli collaborates with scholars based in Saudi Arabia, Pakistan and United States. Saleh Albahli's co-authors include Waleed Albattah, Marriam Nawaz, Ali Javed, Momina Masood, Aun Irtaza, Muhammad Shiraz, Hafiz Tayyab Rauf, Tahira Nazir, Nasir Ayub and Muhammad Haroon Yousaf and has published in prestigious journals such as Expert Systems with Applications, Frontiers in Plant Science and Sensors.

In The Last Decade

Co-authorship network of co-authors of Saleh Albahli i

Fields of papers citing papers by Saleh Albahli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Saleh Albahli. 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 Saleh Albahli. The network helps show where Saleh Albahli may publish in the future.

Countries citing papers authored by Saleh Albahli

Since Specialization
Citations

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