Xiangnan Kong

About

Xiangnan Kong is a scholar working on Artificial Intelligence, Molecular Biology and Statistical and Nonlinear Physics. According to data from OpenAlex, Xiangnan Kong has authored 92 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Artificial Intelligence, 24 papers in Molecular Biology and 16 papers in Statistical and Nonlinear Physics. Recurrent topics in Xiangnan Kong’s work include Complex Network Analysis Techniques (15 papers), Advanced Graph Neural Networks (14 papers) and Text and Document Classification Technologies (10 papers). Xiangnan Kong is often cited by papers focused on Complex Network Analysis Techniques (15 papers), Advanced Graph Neural Networks (14 papers) and Text and Document Classification Technologies (10 papers). Xiangnan Kong collaborates with scholars based in United States, China and Saudi Arabia. Xiangnan Kong's co-authors include Philip S. Yu, Qifeng Yang, Xiaoyan Li, Yun Xiong and Bokai Cao and has published in prestigious journals such as PLoS ONE, Gene and European Journal of Cancer.

In The Last Decade

Fields of papers citing papers by Xiangnan Kong

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 Xiangnan Kong. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Xiangnan Kong may publish in the future.

Countries citing papers authored by Xiangnan Kong

Since Specialization

Citations

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

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