Benjamin Asubam Weyori

49 papers and 774 indexed citations i.

About

Benjamin Asubam Weyori is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Benjamin Asubam Weyori has authored 49 papers receiving a total of 774 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 11 papers in Computer Vision and Pattern Recognition and 10 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Benjamin Asubam Weyori’s work include Stock Market Forecasting Methods (7 papers), COVID-19 diagnosis using AI (6 papers) and Forecasting Techniques and Applications (6 papers). Benjamin Asubam Weyori is often cited by papers focused on Stock Market Forecasting Methods (7 papers), COVID-19 diagnosis using AI (6 papers) and Forecasting Techniques and Applications (6 papers). Benjamin Asubam Weyori collaborates with scholars based in Ghana, United States and China. Benjamin Asubam Weyori's co-authors include Adebayo Felix Adekoya, Isaac Kofi Nti, Owusu Nyarko‐Boateng, Patrick Kwabena Mensah, Mighty Abra Ayidzoe, Jingyu Yang, Jianfeng Lu, Kofi O. Nti, Mark Tettey and Adadow Yidana and has published in prestigious journals such as PLoS ONE, Scientific Reports and Neurocomputing.

In The Last Decade

Co-authorship network of co-authors of Benjamin Asubam Weyori i

Fields of papers citing papers by Benjamin Asubam Weyori

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Benjamin Asubam Weyori. 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 Benjamin Asubam Weyori. The network helps show where Benjamin Asubam Weyori may publish in the future.

Countries citing papers authored by Benjamin Asubam Weyori

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025