Pengming Song

38 papers and 875 indexed citations i.

About

Pengming Song is a scholar working on Atomic and Molecular Physics, and Optics, Radiation and Computer Vision and Pattern Recognition. According to data from OpenAlex, Pengming Song has authored 38 papers receiving a total of 875 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Atomic and Molecular Physics, and Optics, 31 papers in Radiation and 10 papers in Computer Vision and Pattern Recognition. Recurrent topics in Pengming Song’s work include Digital Holography and Microscopy (32 papers), Advanced X-ray Imaging Techniques (31 papers) and Optical measurement and interference techniques (10 papers). Pengming Song is often cited by papers focused on Digital Holography and Microscopy (32 papers), Advanced X-ray Imaging Techniques (31 papers) and Optical measurement and interference techniques (10 papers). Pengming Song collaborates with scholars based in United States, China and United Kingdom. Pengming Song's co-authors include Shaowei Jiang, Guoan Zheng, Chengfei Guo, Ruihai Wang, Zichao Bian, Changhuei Yang, Cheng Shen, Tianbo Wang, Yongbing Zhang and Zibang Zhang and has published in prestigious journals such as Scientific Reports, Nature Protocols and Optics Letters.

In The Last Decade

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

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

Countries citing papers authored by Pengming Song

Since Specialization
Citations

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

Rankless by CCL
2025