Song Wu

95 papers and 966 indexed citations i.

About

Song Wu is a scholar working on Computer Networks and Communications, Information Systems and Hardware and Architecture. According to data from OpenAlex, Song Wu has authored 95 papers receiving a total of 966 indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Computer Networks and Communications, 56 papers in Information Systems and 24 papers in Hardware and Architecture. Recurrent topics in Song Wu’s work include Cloud Computing and Resource Management (49 papers), Distributed and Parallel Computing Systems (28 papers) and Parallel Computing and Optimization Techniques (24 papers). Song Wu is often cited by papers focused on Cloud Computing and Resource Management (49 papers), Distributed and Parallel Computing Systems (28 papers) and Parallel Computing and Optimization Techniques (24 papers). Song Wu collaborates with scholars based in China, United States and Australia. Song Wu's co-authors include Hai Jin, Xuanhua Shi, Sheng Di, Jun Yang, Xinhou Wang, Bin Hong Liu, Saeed Talebi, Xiaoxin Wu, Sandra Matarneh and Mani Poshdar and has published in prestigious journals such as Journal of Applied Physics, Journal of The Electrochemical Society and Journal of Power Sources.

In The Last Decade

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

Fields of papers citing papers by Song Wu

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

Countries citing papers authored by Song Wu

Since Specialization
Citations

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

Rankless by CCL
2025