Yu Guan

19 papers and 319 indexed citations i.

About

Yu Guan is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Yu Guan has authored 19 papers receiving a total of 319 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computational Theory and Mathematics, 4 papers in Artificial Intelligence and 4 papers in Computational Mechanics. Recurrent topics in Yu Guan’s work include Tensor decomposition and applications (4 papers), Sparse and Compressive Sensing Techniques (3 papers) and Matrix Theory and Algorithms (3 papers). Yu Guan is often cited by papers focused on Tensor decomposition and applications (4 papers), Sparse and Compressive Sensing Techniques (3 papers) and Matrix Theory and Algorithms (3 papers). Yu Guan collaborates with scholars based in China, Canada and United States. Yu Guan's co-authors include Delin Chu, Tieli Sun, Guangyong Chen, Min Gan, Moody T. Chu, C. L. Philip Chen, R.I. Carr, Jaroslav A. Kralovec, Colin J. Barrow and H. Stephen Ewart and has published in prestigious journals such as IEEE Access, IEEE Transactions on Neural Networks and Learning Systems and Knowledge-Based Systems.

In The Last Decade

Co-authorship network of co-authors of Yu Guan i

Fields of papers citing papers by Yu Guan

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

Countries citing papers authored by Yu Guan

Since Specialization
Citations

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

Rankless by CCL
2025