Jin Ai

14 papers and 348 indexed citations i.

About

Jin Ai is a scholar working on Sociology and Political Science, Marketing and Literature and Literary Theory. According to data from OpenAlex, Jin Ai has authored 14 papers receiving a total of 348 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Sociology and Political Science, 2 papers in Marketing and 2 papers in Literature and Literary Theory. Recurrent topics in Jin Ai’s work include Digital Marketing and Social Media (4 papers), Diverse Aspects of Tourism Research (2 papers) and Nonprofit Sector and Volunteering (2 papers). Jin Ai is often cited by papers focused on Digital Marketing and Social Media (4 papers), Diverse Aspects of Tourism Research (2 papers) and Nonprofit Sector and Volunteering (2 papers). Jin Ai collaborates with scholars based in China, United States and South Africa. Jin Ai's co-authors include Xingyang Lv, Doğan Gürsoy, Yang Yang, Yue Liu, Brendan T. Chen, G. Christina, Jingfei Kong, Marlene Walk, Laurie E. Paarlberg and Damla Turgut and has published in prestigious journals such as Frontiers in Psychology, International Journal of Hospitality Management and Journal of Sustainable Tourism.

In The Last Decade

Co-authorship network of co-authors of Jin Ai i

Fields of papers citing papers by Jin Ai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jin Ai

Since Specialization
Citations

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