Jin‐Jun Xiao

27 papers and 1.1k indexed citations i.

About

Jin‐Jun Xiao is a scholar working on Computer Networks and Communications, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Jin‐Jun Xiao has authored 27 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Networks and Communications, 11 papers in Artificial Intelligence and 8 papers in Signal Processing. Recurrent topics in Jin‐Jun Xiao’s work include Target Tracking and Data Fusion in Sensor Networks (11 papers), Distributed Sensor Networks and Detection Algorithms (11 papers) and Speech and Audio Processing (7 papers). Jin‐Jun Xiao is often cited by papers focused on Target Tracking and Data Fusion in Sensor Networks (11 papers), Distributed Sensor Networks and Detection Algorithms (11 papers) and Speech and Audio Processing (7 papers). Jin‐Jun Xiao collaborates with scholars based in United States and China. Jin‐Jun Xiao's co-authors include Andrea Goldsmith, Zhi‐Quan Luo, Shuguang Cui, Georgios B. Giannakis, Zhi-Quan Luo, Alejandro Ribeiro, Z.-Q. Luo, Arye Nehorai, H. Vincent Poor and Zhi-Quan Luo and has published in prestigious journals such as IEEE Transactions on Information Theory, The Journal of the Acoustical Society of America and IEEE Transactions on Signal Processing.

In The Last Decade

Co-authorship network of co-authors of Jin‐Jun Xiao i

Fields of papers citing papers by Jin‐Jun Xiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jin‐Jun Xiao. 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 Jin‐Jun Xiao. The network helps show where Jin‐Jun Xiao may publish in the future.

Countries citing papers authored by Jin‐Jun Xiao

Since Specialization
Citations

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