Zhao Peng

511 total citations
15 papers, 343 citations indexed

About

Zhao Peng is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiation and Biomedical Engineering. According to data from OpenAlex, Zhao Peng has authored 15 papers receiving a total of 343 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Radiology, Nuclear Medicine and Imaging, 6 papers in Radiation and 4 papers in Biomedical Engineering. Recurrent topics in Zhao Peng's work include Radiomics and Machine Learning in Medical Imaging (6 papers), Medical Imaging Techniques and Applications (6 papers) and Advanced Radiotherapy Techniques (6 papers). Zhao Peng is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (6 papers), Medical Imaging Techniques and Applications (6 papers) and Advanced Radiotherapy Techniques (6 papers). Zhao Peng collaborates with scholars based in China and United States. Zhao Peng's co-authors include Xi Pei, X. George Xu, Wei Wu, Daishun Ling, Yu Liu, Yixuan Guo, Xi Hu, Qiao Zhang, Hongming Shan and Ge Wang and has published in prestigious journals such as Biomaterials, IEEE Access and Medical Physics.

In The Last Decade

Zhao Peng

14 papers receiving 338 citations

Peers

Zhao Peng
Comparison fields: 5 of 71
  • Radiology, Nuclear Medicine and Imaging 184
  • Biomedical Engineering 142
  • Radiation 125
  • Pulmonary and Respiratory Medicine 60
  • Immunology 48
Replace Seyed Mahmoud Reza Aghamiri with:
Seyed Mahmoud Reza Aghamiri Iran
E. Menghi Italy
Sara Ahmed United States
Nikolaos Koutsouvelis Switzerland
Takahito Chiba Japan
Mishka Gidwani United States
Jiwon Sung South Korea
Nuno Matela Portugal
Hongmei Ying China
R Miceli Italy
Seyed Mahmoud Reza Aghamiri Iran View profile →
Citations per field, relative to Zhao Peng
Zhao Peng · 1×
Citations per year, relative to Zhao Peng
Zhao Peng · 1×

Countries citing papers authored by Zhao Peng

Since Specialization
Citations

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

Fields of papers citing papers by Zhao Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhao Peng

This figure shows the co-authorship network connecting the top 25 collaborators of Zhao Peng. A scholar is included among the top collaborators of Zhao Peng 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 Zhao Peng. Zhao Peng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
# Work Indexed citations
1 0
2 1
3 8
4 3
5 11
6 96
7 13
8 14
9 25
10 39
11 44
12 63
13
A Method of Rapid Quantification of Patient-Specific Organ Dose for CT Using Coupled Deep Multi-Organ Segmentation Algorithms and GPU-accelerated Monte Carlo Dose Computing Code
1
14 21
15 4

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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