Bless Lord Y. Agbley

24 papers and 255 indexed citations i.

About

Bless Lord Y. Agbley is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Neurology. According to data from OpenAlex, Bless Lord Y. Agbley has authored 24 papers receiving a total of 255 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 10 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Neurology. Recurrent topics in Bless Lord Y. Agbley’s work include AI in cancer detection (9 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and Brain Tumor Detection and Classification (6 papers). Bless Lord Y. Agbley is often cited by papers focused on AI in cancer detection (9 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and Brain Tumor Detection and Classification (6 papers). Bless Lord Y. Agbley collaborates with scholars based in China, Pakistan and Ghana. Bless Lord Y. Agbley's co-authors include Jianping Li, Amin Ul Haq, Inayat Khan, M. Irfan Uddin, Zafar Ali, Shakir Khan, Sultan Ahmad, Xiaoling Zhang, Salah Ud Din and Shah Nazir and has published in prestigious journals such as Expert Systems with Applications, Automation in Construction and IEEE Journal of Biomedical and Health Informatics.

In The Last Decade

Co-authorship network of co-authors of Bless Lord Y. Agbley i

Fields of papers citing papers by Bless Lord Y. Agbley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bless Lord Y. Agbley. 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 Bless Lord Y. Agbley. The network helps show where Bless Lord Y. Agbley may publish in the future.

Countries citing papers authored by Bless Lord Y. Agbley

Since Specialization
Citations

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