Ling Ren

About

Ling Ren is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Ling Ren has authored 56 papers receiving a total of 917 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Artificial Intelligence, 24 papers in Computer Networks and Communications and 23 papers in Information Systems. Recurrent topics in Ling Ren’s work include Cryptography and Data Security (30 papers), Distributed systems and fault tolerance (18 papers) and Blockchain Technology Applications and Security (15 papers). Ling Ren is often cited by papers focused on Cryptography and Data Security (30 papers), Distributed systems and fault tolerance (18 papers) and Blockchain Technology Applications and Security (15 papers). Ling Ren collaborates with scholars based in United States, China and Hong Kong. Ling Ren's co-authors include Marten van Dijk, Srinivas Devadas, Christopher W. Fletcher, Xiangyao Yu, Elaine Shi, Emil Stefanov, Kartik Nayak, Dahlia Malkhi, Ittai Abraham and Yu Wang and has published in prestigious journals such as PLoS ONE, Journal of the ACM and IEEE Sensors Journal.

In The Last Decade

Co-authorship network of co-authors of Ling Ren i

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Fields of papers citing papers by Ling Ren

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ling Ren

Since Specialization

Citations

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