Yahui Peng

2.7k total citations
124 papers, 2.0k citations indexed

About

Yahui Peng is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Yahui Peng has authored 124 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Radiology, Nuclear Medicine and Imaging, 39 papers in Computer Vision and Pattern Recognition and 33 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Yahui Peng's work include Radiomics and Machine Learning in Medical Imaging (29 papers), Prostate Cancer Diagnosis and Treatment (19 papers) and MRI in cancer diagnosis (18 papers). Yahui Peng is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (29 papers), Prostate Cancer Diagnosis and Treatment (19 papers) and MRI in cancer diagnosis (18 papers). Yahui Peng collaborates with scholars based in China, United States and Japan. Yahui Peng's co-authors include Yulei Jiang, Aytekin Oto, Tatjana Antic, Houjin Chen, Yanfeng Li, Maryellen L. Giger, Ila Sethi, Christine Schmid‐Tannwald, Scott Eggener and Cheng Lin and has published in prestigious journals such as Advanced Materials, Advanced Functional Materials and Scientific Reports.

In The Last Decade

Yahui Peng

119 papers receiving 2.0k citations

Peers

Yahui Peng
Comparison fields: 5 of 137
  • Radiology, Nuclear Medicine and Imaging 809
  • Pulmonary and Respiratory Medicine 727
  • Computer Vision and Pattern Recognition 331
  • Rheumatology 265
  • Artificial Intelligence 260
Replace Lizhi Liu with:
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Jean‐Paul Vallée Switzerland
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Alain Lalande France
Kimerly Powell United States
Omar Arnaout United States
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Soichiro Yoshida Japan
Alexis Kelekis Greece
Lizhi Liu China View profile →
Citations per field, relative to Yahui Peng
Yahui Peng · 1×
Citations per year, relative to Yahui Peng
Yahui Peng · 1×

Countries citing papers authored by Yahui Peng

Since Specialization
Citations

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

Fields of papers citing papers by Yahui Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yahui Peng

This figure shows the co-authorship network connecting the top 25 collaborators of Yahui Peng. A scholar is included among the top collaborators of Yahui 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 Yahui Peng. Yahui Peng 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 1
3 1
4 2
5 0
6 28
7 2
8 1
9 1
10 34
11 7
12 6
13 10
14 11
15 9
16 1
17 3
18 8
19 21
20 214

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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