Jinli Cao

About

Jinli Cao is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Jinli Cao has authored 85 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Artificial Intelligence, 39 papers in Computer Networks and Communications and 26 papers in Information Systems. Recurrent topics in Jinli Cao’s work include Cryptography and Data Security (15 papers), Privacy-Preserving Technologies in Data (12 papers) and Data Management and Algorithms (12 papers). Jinli Cao is often cited by papers focused on Cryptography and Data Security (15 papers), Privacy-Preserving Technologies in Data (12 papers) and Data Management and Algorithms (12 papers). Jinli Cao collaborates with scholars based in Australia, China and United States. Jinli Cao's co-authors include Hua Wang, Yanchun Zhang, Siuly Siuly, Jiao Yin, Supriya Supriya, Yong-Feng Ge, MingJian Tang, Yanan Hao, Xingshe Zhou and Zhu Wang and has published in prestigious journals such as Sensors, IEEE Access and Information Sciences.

In The Last Decade

Co-authorship network of co-authors of Jinli Cao i

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Fields of papers citing papers by Jinli Cao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jinli Cao

Since Specialization

Citations

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