Lal Khan

14 papers and 217 indexed citations i.

About

Lal Khan is a scholar working on Artificial Intelligence, Experimental and Cognitive Psychology and Signal Processing. According to data from OpenAlex, Lal Khan has authored 14 papers receiving a total of 217 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 4 papers in Experimental and Cognitive Psychology and 4 papers in Signal Processing. Recurrent topics in Lal Khan’s work include Sentiment Analysis and Opinion Mining (7 papers), Topic Modeling (5 papers) and Speech and Audio Processing (4 papers). Lal Khan is often cited by papers focused on Sentiment Analysis and Opinion Mining (7 papers), Topic Modeling (5 papers) and Speech and Audio Processing (4 papers). Lal Khan collaborates with scholars based in Taiwan, Mexico and Saudi Arabia. Lal Khan's co-authors include Hsien-Tsung Chang, Noman Ashraf, Alexander Gelbukh, Grigori Sidorov, Atika Qazi, Asghar Ali Shah, Ahyoung Choi, Khalid Ali Khan, Sadia Kanwal and Awais Mahmood and has published in prestigious journals such as Scientific Reports, IEEE Access and Applied Sciences.

In The Last Decade

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

Fields of papers citing papers by Lal Khan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Lal Khan

Since Specialization
Citations

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