Peijun Tang

773 total citations
49 papers, 535 citations indexed

About

Peijun Tang is a scholar working on Biomedical Engineering, Biophysics and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Peijun Tang has authored 49 papers receiving a total of 535 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Biomedical Engineering, 13 papers in Biophysics and 8 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Peijun Tang's work include Optical Coherence Tomography Applications (25 papers), Photoacoustic and Ultrasonic Imaging (16 papers) and Advanced Fluorescence Microscopy Techniques (12 papers). Peijun Tang is often cited by papers focused on Optical Coherence Tomography Applications (25 papers), Photoacoustic and Ultrasonic Imaging (16 papers) and Advanced Fluorescence Microscopy Techniques (12 papers). Peijun Tang collaborates with scholars based in United States, China and United Kingdom. Peijun Tang's co-authors include Ruikang K. Wang, Yuandong Li, G. Krein, Anthony G. Williams, Dominic J. Campopiano, Jianhua Zhou, Nhan Le, Mitchell A. Kirby, Liming Yang and Jingjiang Xu and has published in prestigious journals such as Applied Physics Letters, Analytical Chemistry and Scientific Reports.

In The Last Decade

Peijun Tang

45 papers receiving 512 citations

Peers

Peijun Tang
Comparison fields: 5 of 103
  • Biomedical Engineering 209
  • Molecular Biology 119
  • Radiology, Nuclear Medicine and Imaging 84
  • Global and Planetary Change 44
  • Biophysics 43
Replace Manoj Mathew with:
Manoj Mathew Spain
Liat Rosenfeld United States
Kevin F. Webb United Kingdom
Krishnarao Tangella United States
Yuhang He China
Vladimir Turzhitsky United States
Arnold D. Estrada United States
Maurizio Marrale Italy
Hirotaka Maruyama Japan
Manoj Mathew Spain View profile →
Citations per field, relative to Peijun Tang
Peijun Tang · 1×
Citations per year, relative to Peijun Tang
Peijun Tang · 1×

Countries citing papers authored by Peijun Tang

Since Specialization
Citations

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

Fields of papers citing papers by Peijun Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peijun Tang. 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 Peijun Tang. The network helps show where Peijun Tang may publish in the future.

Co-authorship network of co-authors of Peijun Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Peijun Tang. A scholar is included among the top collaborators of Peijun Tang 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 Peijun Tang. Peijun Tang 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
# Work Indexed citations
1 0
2 0
3 2
4 1
5 8
6 14
7 0
8 30
9 9
10 29
11 1
12 55
13 43
14 3
15 8
16 6
17 11
18 14
19 3
20 12

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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