Xiaolong Jin

65 papers and 1.4k indexed citations i.

About

Xiaolong Jin is a scholar working on Artificial Intelligence, Computer Networks and Communications and Statistical and Nonlinear Physics. According to data from OpenAlex, Xiaolong Jin has authored 65 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Artificial Intelligence, 14 papers in Computer Networks and Communications and 8 papers in Statistical and Nonlinear Physics. Recurrent topics in Xiaolong Jin’s work include Topic Modeling (21 papers), Advanced Graph Neural Networks (18 papers) and Network Traffic and Congestion Control (8 papers). Xiaolong Jin is often cited by papers focused on Topic Modeling (21 papers), Advanced Graph Neural Networks (18 papers) and Network Traffic and Congestion Control (8 papers). Xiaolong Jin collaborates with scholars based in China, United Kingdom and United States. Xiaolong Jin's co-authors include Xueqi Cheng, Yuanzhuo Wang, Benjamin W. Wah, Huawei Shen, Saiping Guan, Jiafeng Guo, Yantao Jia, Zixuan Li, Shenghua Liu and Geyong Min and has published in prestigious journals such as PLoS ONE, IEEE Access and IEEE Transactions on Communications.

In The Last Decade

Co-authorship network of co-authors of Xiaolong Jin i

Fields of papers citing papers by Xiaolong Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Xiaolong Jin

Since Specialization
Citations

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