Abdul Majid

23 papers and 527 indexed citations i.

About

Abdul Majid is a scholar working on Molecular Biology, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Abdul Majid has authored 23 papers receiving a total of 527 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 8 papers in Artificial Intelligence and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Abdul Majid’s work include Machine Learning in Bioinformatics (7 papers), COVID-19 diagnosis using AI (6 papers) and Gene expression and cancer classification (3 papers). Abdul Majid is often cited by papers focused on Machine Learning in Bioinformatics (7 papers), COVID-19 diagnosis using AI (6 papers) and Gene expression and cancer classification (3 papers). Abdul Majid collaborates with scholars based in Pakistan, Saudi Arabia and South Korea. Abdul Majid's co-authors include Asifullah Khan, Usman Tariq, Safdar Ali, Muhammad Attique Khan, Mussarat Yasmin, Muhammad Attique Khan, Amjad Rehman, Abdullah Yousafzai, N. Hussain and Majed Alhaisoni and has published in prestigious journals such as Bioinformatics, Sensors and Amino Acids.

In The Last Decade

Co-authorship network of co-authors of Abdul Majid i

Fields of papers citing papers by Abdul Majid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Abdul Majid

Since Specialization
Citations

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