Lujun Jia

About

Lujun Jia is a scholar working on Computer Networks and Communications, Computational Theory and Mathematics and Artificial Intelligence. According to data from OpenAlex, Lujun Jia has authored 5 papers receiving a total of 190 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Networks and Communications, 3 papers in Computational Theory and Mathematics and 2 papers in Artificial Intelligence. Recurrent topics in Lujun Jia’s work include Combinatorial Optimization and Complexity Theory (3 papers), Cooperative Communication and Network Coding (2 papers) and Optimization and Search Problems (2 papers). Lujun Jia is often cited by papers focused on Combinatorial Optimization and Complexity Theory (3 papers), Cooperative Communication and Network Coding (2 papers) and Optimization and Search Problems (2 papers). Lujun Jia collaborates with scholars based in United States. Lujun Jia's co-authors include Rajmohan Rajaraman, Torsten Suel, Guevara Noubir, Guolong Lin, Ravi Sundaram and Jiangzhuo Chen and has published in prestigious journals such as Distributed Computing, CiteSeer X (The Pennsylvania State University) and IEEE Wireless Communications and Networking Conference.

In The Last Decade

Co-authorship network of co-authors of Lujun Jia i

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Fields of papers citing papers by Lujun Jia

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Lujun Jia

Since Specialization

Citations

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