Lele Sha

12 papers and 238 indexed citations i.

About

Lele Sha is a scholar working on Artificial Intelligence, Computer Science Applications and Developmental and Educational Psychology. According to data from OpenAlex, Lele Sha has authored 12 papers receiving a total of 238 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 8 papers in Computer Science Applications and 3 papers in Developmental and Educational Psychology. Recurrent topics in Lele Sha’s work include Online Learning and Analytics (7 papers), Topic Modeling (5 papers) and Innovative Teaching and Learning Methods (3 papers). Lele Sha is often cited by papers focused on Online Learning and Analytics (7 papers), Topic Modeling (5 papers) and Innovative Teaching and Learning Methods (3 papers). Lele Sha collaborates with scholars based in Australia, Saudi Arabia and United States. Lele Sha's co-authors include Dragan Gašević, Guanliang Chen, Lixiang Yan, Yuheng Li, Linxuan Zhao, Roberto Martínez‐Maldonado, Xinyu Li, Yueqiao Jin, Mladen Raković and Jionghao Lin and has published in prestigious journals such as Expert Systems with Applications, Future Generation Computer Systems and British Journal of Educational Technology.

In The Last Decade

Co-authorship network of co-authors of Lele Sha i

Fields of papers citing papers by Lele Sha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Lele Sha

Since Specialization
Citations

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