Guang‐Jing Song

40 papers and 587 indexed citations i.

About

Guang‐Jing Song is a scholar working on Computational Theory and Mathematics, Applied Mathematics and Computational Mechanics. According to data from OpenAlex, Guang‐Jing Song has authored 40 papers receiving a total of 587 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Computational Theory and Mathematics, 21 papers in Applied Mathematics and 11 papers in Computational Mechanics. Recurrent topics in Guang‐Jing Song’s work include Matrix Theory and Algorithms (28 papers), Algebraic and Geometric Analysis (17 papers) and Sparse and Compressive Sensing Techniques (11 papers). Guang‐Jing Song is often cited by papers focused on Matrix Theory and Algorithms (28 papers), Algebraic and Geometric Analysis (17 papers) and Sparse and Compressive Sensing Techniques (11 papers). Guang‐Jing Song collaborates with scholars based in China, Hong Kong and Singapore. Guang‐Jing Song's co-authors include Qing‐Wen Wang, Michael K. Ng, Haixia Chang, Zhigang Jia and Xiongjun Zhang and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, Journal of Photochemistry and Photobiology A Chemistry and Computers & Mathematics with Applications.

In The Last Decade

Fields of papers citing papers by Guang‐Jing Song

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

Countries citing papers authored by Guang‐Jing Song

Since Specialization
Citations

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

Rankless by CCL
2025