Langxuan Yin

4 papers and 136 indexed citations i.

About

Langxuan Yin is a scholar working on Artificial Intelligence, Literature and Literary Theory and Social Psychology. According to data from OpenAlex, Langxuan Yin has authored 4 papers receiving a total of 136 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 2 papers in Literature and Literary Theory and 1 paper in Social Psychology. Recurrent topics in Langxuan Yin’s work include AI in Service Interactions (2 papers), Media Influence and Health (2 papers) and Digital Mental Health Interventions (1 paper). Langxuan Yin is often cited by papers focused on AI in Service Interactions (2 papers), Media Influence and Health (2 papers) and Digital Mental Health Interventions (1 paper). Langxuan Yin collaborates with scholars based in United States and Mexico. Langxuan Yin's co-authors include Timothy Bickmore, Daniel Schulman, Lazlo Ring, Laura M. Pfeifer and Nick Montfort and has published in prestigious journals such as Applied Artificial Intelligence, International Journal of Semantic Computing and CiteSeer X (The Pennsylvania State University).

In The Last Decade

Co-authorship network of co-authors of Langxuan Yin i

Fields of papers citing papers by Langxuan Yin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Langxuan Yin

Since Specialization
Citations

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