Kaihua Qin

9 papers and 181 indexed citations i.

About

Kaihua Qin is a scholar working on Information Systems, Sociology and Political Science and Artificial Intelligence. According to data from OpenAlex, Kaihua Qin has authored 9 papers receiving a total of 181 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Information Systems, 4 papers in Sociology and Political Science and 3 papers in Artificial Intelligence. Recurrent topics in Kaihua Qin’s work include Blockchain Technology Applications and Security (8 papers), Organized Crime and Criminal Networks Analysis (4 papers) and Cryptography and Data Security (3 papers). Kaihua Qin is often cited by papers focused on Blockchain Technology Applications and Security (8 papers), Organized Crime and Criminal Networks Analysis (4 papers) and Cryptography and Data Security (3 papers). Kaihua Qin collaborates with scholars based in United Kingdom, United States and Switzerland. Kaihua Qin's co-authors include Arthur Gervais, Liyi Zhou, Christof Ferreira Torres, Duc V. Le, Benjamin Livshits, Antoine Cully, Dawn Song, Liyi Zhou, Roger Wattenhofer and Yu Wang and has published in prestigious journals such as UCL Discovery (University College London), Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security and 2022 IEEE Symposium on Security and Privacy (SP).

In The Last Decade

Co-authorship network of co-authors of Kaihua Qin i

Fields of papers citing papers by Kaihua Qin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kaihua Qin

Since Specialization
Citations

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