Qun Ni

7 papers and 178 indexed citations i.

About

Qun Ni is a scholar working on Sociology and Political Science, Artificial Intelligence and Surgery. According to data from OpenAlex, Qun Ni has authored 7 papers receiving a total of 178 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Sociology and Political Science, 5 papers in Artificial Intelligence and 1 paper in Surgery. Recurrent topics in Qun Ni’s work include Access Control and Trust (6 papers), Cryptography and Data Security (3 papers) and Privacy-Preserving Technologies in Data (3 papers). Qun Ni is often cited by papers focused on Access Control and Trust (6 papers), Cryptography and Data Security (3 papers) and Privacy-Preserving Technologies in Data (3 papers). Qun Ni collaborates with scholars based in United States, Italy and China. Qun Ni's co-authors include Jorge Lobo, Elisa Bertino, Clare-Marie Karat, Carolyn Brodie, John Karat, Congcong Chen, Seraphin Calo, Lorrie Faith Cranor, Robert W. Reeder and Ponnurangam Kumaraguru and has published in prestigious journals such as Medicine, IBM Journal of Research and Development and ACM Transactions on Information and System Security.

In The Last Decade

Co-authorship network of co-authors of Qun Ni i

Fields of papers citing papers by Qun Ni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Qun Ni

Since Specialization
Citations

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