Md. Mehedi Hassan

61 papers and 474 indexed citations i.

About

Md. Mehedi Hassan is a scholar working on Artificial Intelligence, Health Information Management and Computer Vision and Pattern Recognition. According to data from OpenAlex, Md. Mehedi Hassan has authored 61 papers receiving a total of 474 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 10 papers in Health Information Management and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Md. Mehedi Hassan’s work include Artificial Intelligence in Healthcare (10 papers), COVID-19 diagnosis using AI (5 papers) and AI in cancer detection (5 papers). Md. Mehedi Hassan is often cited by papers focused on Artificial Intelligence in Healthcare (10 papers), COVID-19 diagnosis using AI (5 papers) and AI in cancer detection (5 papers). Md. Mehedi Hassan collaborates with scholars based in Bangladesh, India and Australia. Md. Mehedi Hassan's co-authors include Md Shafiqul Islam Khan, Enryka Christopher, Md. Hasan Al Banna, Abu Sayeed, M. Tasdik Hasan, Musammet Rasheda Begum, Satyajit Kundu, Sukanta Chowdhury, Tapos Kormoker and Anupam Kumar Bairagi and has published in prestigious journals such as PLoS ONE, Scientific Reports and Journal of Environmental Management.

In The Last Decade

Co-authorship network of co-authors of Md. Mehedi Hassan i

Fields of papers citing papers by Md. Mehedi Hassan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Md. Mehedi Hassan. 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 Md. Mehedi Hassan. The network helps show where Md. Mehedi Hassan may publish in the future.

Countries citing papers authored by Md. Mehedi Hassan

Since Specialization
Citations

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