Kailai Yang

14 papers and 191 indexed citations i.

About

Kailai Yang is a scholar working on Artificial Intelligence, Social Psychology and Experimental and Cognitive Psychology. According to data from OpenAlex, Kailai Yang has authored 14 papers receiving a total of 191 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 9 papers in Social Psychology and 3 papers in Experimental and Cognitive Psychology. Recurrent topics in Kailai Yang’s work include Mental Health via Writing (9 papers), Sentiment Analysis and Opinion Mining (8 papers) and Digital Mental Health Interventions (3 papers). Kailai Yang is often cited by papers focused on Mental Health via Writing (9 papers), Sentiment Analysis and Opinion Mining (8 papers) and Digital Mental Health Interventions (3 papers). Kailai Yang collaborates with scholars based in United Kingdom, Finland and China. Kailai Yang's co-authors include Sophia Ananiadou, Tianlin Zhang, Shaoxiong Ji, Qianqian Xie, Yucheng Zou, Hui Zhang, Yipeng Zhang, Zeyu Qin, Jimin Huang and Paul M. Thompson and has published in prestigious journals such as Information Fusion, Information Processing & Management and IEEE Transactions on Affective Computing.

In The Last Decade

Co-authorship network of co-authors of Kailai Yang i

Fields of papers citing papers by Kailai Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kailai Yang

Since Specialization
Citations

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