Junbo Peng

464 citations
18 papers · 251 · 1 hit paper · h-index 8

Impact in

Papers in

Junbo Peng

14 papers receiving 245 citations

Junbo Peng's Hit Papers

CBCT‐Based synthetic CT image generation using conditional denoising diffusion probabilistic model 2023 · 68 citations
680+1+2Years since publication204060

Peers

Junbo Peng
Comparison fields: 5 of 53
  • Health Informatics 9
  • Radiology, Nuclear Medicine and Imaging 113
  • Radiation 44
  • Biological Psychiatry 5
  • Behavioral Neuroscience 5
Replace Shaoyan Pan with:
Shaoyan Pan United States
Hyoung Suk Park South Korea
Anastasia Ingacheva Russia
Bernhard Renger Germany
Samuel Haaf United States
Caiwen Jiang China
Fabíola Macruz United States
Elizabeth K. Cole United States
Lanzhuju Mei China
Tobias Würfl Germany
Junbo Peng relative to Shaoyan Pan United States Shaoyan Pan's profile →
Citations per field
00.5×1.5×
Shaoyan Pan · 1×
Citations per year

Countries citing papers authored by Junbo Peng

Since Specialization
Citations

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

Fields of papers citing papers by Junbo Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Junbo Peng, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Junbo Peng Line = papers co-authored together Junbo Peng links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1
CBCT‐Based synthetic CT image generation using conditional denoising diffusion probabilistic model
Hit paper breakdown →
202368
2 202362
3 202420
4 202219
5 202316
6 202415
7 201415
8 202412
9 20227
10 20236
11 20245
12 20243
13 20242
14 20251
15 20250
16 20240
17 20250
18 20240

About Junbo Peng

Junbo Peng is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiation, Biomedical Engineering, Materials Chemistry and Computer Vision and Pattern Recognition, having authored 18 papers that have together received 251 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (7 papers), Advanced Radiotherapy Techniques (4 papers), Nuclear Materials and Properties (3 papers), Advanced X-ray and CT Imaging (3 papers), Fusion materials and technologies (3 papers), MRI in cancer diagnosis (2 papers), Advanced Neuroimaging Techniques and Applications (2 papers) and Radiation Dose and Imaging (2 papers). The work is most often cited by research in Health Informatics (9 citations), Radiology, Nuclear Medicine and Imaging (113 citations), Radiation (44 citations), Biological Psychiatry (5 citations) and Behavioral Neuroscience (5 citations). Junbo Peng has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Chih‐Wei Chang, Justin Roper, Xiaofeng Yang, Shaoyan Pan, Richard L. J. Qiu, Tonghe Wang, Jacob Wynne, Pretesh Patel, David S. Yu and Hui Mao. Their work appears in journals such as Medical Physics, Physics in Medicine and Biology, Journal of Nuclear Materials, IEEE Transactions on Medical Imaging and Medical Image Analysis.

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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