Xiaolong Jin

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 1.3k 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 Hong Kong. Xiaolong Jin's co-authors include Xueqi Cheng, Yuanzhuo Wang, Saiping Guan, Jiafeng Guo and Yantao Jia and has published in prestigious journals such as PLoS ONE, IEEE Access and IEEE Transactions on Communications.

In The Last Decade

Fields of papers citing papers by Xiaolong Jin

Since Specialization

EngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics

This network shows the specialization of papers citing the papers produced by Xiaolong Jin. Nodes represent fields, and links connect fields that are likely to share authors. 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).

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