Liang Song

86 papers and 1.0k indexed citations i.

About

Liang Song is a scholar working on Mathematical Physics, Applied Mathematics and Accounting. According to data from OpenAlex, Liang Song has authored 86 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Mathematical Physics, 32 papers in Applied Mathematics and 27 papers in Accounting. Recurrent topics in Liang Song’s work include Advanced Harmonic Analysis Research (26 papers), Corporate Finance and Governance (22 papers) and Advanced Mathematical Physics Problems (17 papers). Liang Song is often cited by papers focused on Advanced Harmonic Analysis Research (26 papers), Corporate Finance and Governance (22 papers) and Advanced Mathematical Physics Problems (17 papers). Liang Song collaborates with scholars based in China, United States and Japan. Liang Song's co-authors include Iftekhar Hasan, Lixin Yan, Bill B. Francis, Qiang Wu, Majdi Anwar Quttainah, Ranchao Wu, Liping Chen, Paul Wachtel, Kose John and Maya Waisman and has published in prestigious journals such as Journal of Mathematical Analysis and Applications, Archive for Rational Mechanics and Analysis and Journal of Statistical Physics.

In The Last Decade

Co-authorship network of co-authors of Liang Song i

Fields of papers citing papers by Liang 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 Liang Song. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Liang Song may publish in the future.

Countries citing papers authored by Liang Song

Since Specialization
Citations

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

Rankless by CCL
2025