Jing Qin

86 papers and 766 indexed citations i.

About

Jing Qin is a scholar working on Artificial Intelligence, Information Systems and Computational Theory and Mathematics. According to data from OpenAlex, Jing Qin has authored 86 papers receiving a total of 766 indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Artificial Intelligence, 25 papers in Information Systems and 14 papers in Computational Theory and Mathematics. Recurrent topics in Jing Qin’s work include Cryptography and Data Security (44 papers), Privacy-Preserving Technologies in Data (20 papers) and Cloud Data Security Solutions (18 papers). Jing Qin is often cited by papers focused on Cryptography and Data Security (44 papers), Privacy-Preserving Technologies in Data (20 papers) and Cloud Data Security Solutions (18 papers). Jing Qin collaborates with scholars based in China, Australia and United Kingdom. Jing Qin's co-authors include Jiankun Hu, Wenting Shen, Jia Yu, Rong Hao, Jixin Ma, Fei Han, Huawei Zhao, Xiangbin Kong, Fengrong Zhang and Thanh H. Dao and has published in prestigious journals such as Energy, Sensors and RSC Advances.

In The Last Decade

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

Fields of papers citing papers by Jing Qin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jing Qin

Since Specialization
Citations

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