Wahab Khan

41 papers and 464 indexed citations i.

About

Wahab Khan is a scholar working on Artificial Intelligence, Molecular Biology and Genetics. According to data from OpenAlex, Wahab Khan has authored 41 papers receiving a total of 464 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 11 papers in Molecular Biology and 8 papers in Genetics. Recurrent topics in Wahab Khan’s work include Topic Modeling (11 papers), Natural Language Processing Techniques (11 papers) and Sentiment Analysis and Opinion Mining (7 papers). Wahab Khan is often cited by papers focused on Topic Modeling (11 papers), Natural Language Processing Techniques (11 papers) and Sentiment Analysis and Opinion Mining (7 papers). Wahab Khan collaborates with scholars based in Pakistan, United States and Saudi Arabia. Wahab Khan's co-authors include Ali Daud, Dunren Che, Jamal Abdul Nasir, Tehmina Amjad, Fahd S. Alotaibi, Stuart A. Scott, Lisa Edelmann, Naif Radi Aljohani, Gregory J. Tsongalis and Ninette Cohen and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of Wahab Khan i

Fields of papers citing papers by Wahab Khan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Wahab Khan

Since Specialization
Citations

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