Pengfei Song

7.9k citations
174 papers · 5.3k indexed · 1 hit paper · h-index 39
Topics
Ultrasound Imaging and Elastography (112 papers)Photoacoustic and Ultrasonic Imaging (83 papers)Ultrasound and Hyperthermia Applications (77 papers)
Partner nations
United StatesChinaFrance

In The Last Decade

Pengfei Song

167 papers receiving 5.2k citations

Hit Papers

Validation of shear wave elastography in skeletal muscle20132026201720212013100200300400

Peers

Pengfei Song
Comparison fields: 5 of 157
  • Radiology, Nuclear Medicine and Imaging 3.1k
  • Biomedical Engineering 2.8k
  • Mechanics of Materials 815
  • Orthopedics and Sports Medicine 731
  • Oncology 657
Replace Flemming Forsberg with:
Flemming Forsberg United States
Chandra M. Sehgal United States
Thomas M. Link United States
Koichi Masuda United States
Dianna D. Cody United States
Tsuyoshi Shiina Japan
Charles Peterfy United States
Marvin M. Doyley United States
Simo Saarakkala Finland
Peter Regitnig Austria
Pengfei Song relative to Flemming Forsberg United States Flemming Forsberg's profile →
Citations per field
00.5×6.6×
Flemming Forsberg · 1×
Citations per year

Countries citing papers authored by Pengfei Song

Since Specialization
Citations

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

Fields of papers citing papers by Pengfei Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pengfei Song. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Pengfei Song. The network helps show where Pengfei Song may publish in the future.

Co-authorship network of co-authors of Pengfei Song

This figure shows the co-authorship network connecting the top 25 collaborators of Pengfei Song. A scholar is included among the top collaborators of Pengfei Song based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Pengfei Song. Pengfei Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 4
3 7
4 1
5 4
6 29
7 5
8 2
9 13
10 21
11 6
12 86
13 19
14 45
15 35
16 25
17 2
18 38
19 32
20 261

About Pengfei Song

Pengfei Song is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Mechanics of Materials, having authored 174 papers that have together received 5.3k indexed citations. Recurring topics across this work include Ultrasound Imaging and Elastography (112 papers), Photoacoustic and Ultrasonic Imaging (83 papers) and Ultrasound and Hyperthermia Applications (77 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (3.1k citations), Orthopedics and Sports Medicine (731 citations) and Biomedical Engineering (2.8k citations). Pengfei Song has collaborated with scholars based in United States, China and France. Frequent co-authors include Shigao Chen, Armando Manduca, James F. Greenleaf, Sarah F. Eby, Heng Zhao, Matthew W. Urban, Joshua D. Trzasko, Kai‐Nan An, Matthew R. Lowerison and Ping Gong. Their work appears in journals such as Nature Communications, Journal of Clinical Oncology and Journal of Neuroscience.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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