Bai‐Peng Song

37 papers and 758 indexed citations i.

About

Bai‐Peng Song is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Bai‐Peng Song has authored 37 papers receiving a total of 758 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Electrical and Electronic Engineering, 27 papers in Materials Chemistry and 8 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Bai‐Peng Song’s work include High voltage insulation and dielectric phenomena (27 papers), Plasma Diagnostics and Applications (16 papers) and Semiconductor materials and devices (9 papers). Bai‐Peng Song is often cited by papers focused on High voltage insulation and dielectric phenomena (27 papers), Plasma Diagnostics and Applications (16 papers) and Semiconductor materials and devices (9 papers). Bai‐Peng Song collaborates with scholars based in China, Switzerland and United States. Bai‐Peng Song's co-authors include Guanjun Zhang, Haibao Mu, Guangyu Sun, Guo-Qiang Su, Baohong Guo, Shu Zhang, Junbo Deng, Jianyi Xue, Ning Yang and Wen-Wei Shen and has published in prestigious journals such as Applied Physics Letters, Journal of Applied Physics and Journal of Cleaner Production.

In The Last Decade

Co-authorship network of co-authors of Bai‐Peng Song i

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

Countries citing papers authored by Bai‐Peng Song

Since Specialization
Citations

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

Rankless by CCL
2025