Langxuan Yin

450 citations
4 papers · 198 indexed · h-index 3
Topics
Media Influence and Health (2 papers)AI in Service Interactions (2 papers)Digital Mental Health Interventions (1 paper)
Journals
Applied Artificial IntelligenceInternational Journal of Semantic ComputingProceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment
Partner nations
United StatesMexico

In The Last Decade

Langxuan Yin

4 papers receiving 188 citations

Peers

Langxuan Yin
Comparison fields: 5 of 62
  • Artificial Intelligence 70
  • Applied Psychology 68
  • Social Psychology 64
  • General Health Professions 41
  • Sociology and Political Science 34
Replace Everlyne Kimani with:
Everlyne Kimani United States
Ahmed Fadhil Italy
Ameneh Shamekhi United States
Kirsten A. Smith United Kingdom
Ugan Yasavur United States
Inna Wanyin Lin United States
Silke ter Stal Netherlands
Jo Dugstad Wake Norway
Emily J Ashurst United Kingdom
Simon Provoost Netherlands
Langxuan Yin relative to Everlyne Kimani United States Everlyne Kimani's profile →
Citations per field
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Citations per year

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).

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.

Co-authorship network of co-authors of Langxuan Yin

This figure shows the co-authorship network connecting the top 25 collaborators of Langxuan Yin. A scholar is included among the top collaborators of Langxuan Yin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Langxuan Yin. Langxuan Yin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

4 of 4 papers shown
#WorkIndexed citations
1 1
2 36
3 143
4 18

About Langxuan Yin

Langxuan Yin is a scholar working on Visual Arts and Performing Arts, Applied Psychology and Literature and Literary Theory, having authored 4 papers that have together received 198 indexed citations. Recurring topics across this work include Media Influence and Health (2 papers), AI in Service Interactions (2 papers) and Digital Mental Health Interventions (1 paper). The work is most often cited by research in Applied Psychology (68 citations), Human-Computer Interaction (29 citations) and Medical Terminology (1 citation). Langxuan Yin has collaborated with scholars based in United States and Mexico. Frequent co-authors include Timothy Bickmore, Daniel Schulman, Lazlo Ring, Laura M. Pfeifer and Nick Montfort. Their work appears in journals such as Applied Artificial Intelligence, International Journal of Semantic Computing and Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment.

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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