Pengxin Yu

1.5k total citations · 1 hit paper
33 papers, 837 citations indexed

About

Pengxin Yu is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Molecular Biology. According to data from OpenAlex, Pengxin Yu has authored 33 papers receiving a total of 837 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Radiology, Nuclear Medicine and Imaging, 10 papers in Pulmonary and Respiratory Medicine and 5 papers in Molecular Biology. Recurrent topics in Pengxin Yu's work include Radiomics and Machine Learning in Medical Imaging (9 papers), Lung Cancer Diagnosis and Treatment (7 papers) and DNA and Nucleic Acid Chemistry (3 papers). Pengxin Yu is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (9 papers), Lung Cancer Diagnosis and Treatment (7 papers) and DNA and Nucleic Acid Chemistry (3 papers). Pengxin Yu collaborates with scholars based in China, United States and United Kingdom. Pengxin Yu's co-authors include Liming Xia, Lu Huang, Rui Han, Tao Ai, Qian Tao, Han Sung Kang, Shibin Ding, William H. Konigsberg, J Wang and Tai‐Shun Lin and has published in prestigious journals such as PLoS ONE, Biochemistry and Stroke.

In The Last Decade

Pengxin Yu

32 papers receiving 820 citations

Hit Papers

Serial Quantitative Chest CT Assessment of COVID-19: A De... 2020 2026 2022 2024 2020 50 100 150 200 250

Peers

Pengxin Yu
Comparison fields: 5 of 118
  • Radiology, Nuclear Medicine and Imaging 390
  • Molecular Biology 171
  • Pulmonary and Respiratory Medicine 162
  • Biomedical Engineering 132
  • Artificial Intelligence 111
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Citations per field, relative to Pengxin Yu
Pengxin Yu · 1×
Citations per year, relative to Pengxin Yu
Pengxin Yu · 1×

Countries citing papers authored by Pengxin Yu

Since Specialization
Citations

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

Fields of papers citing papers by Pengxin Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pengxin Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Pengxin Yu. A scholar is included among the top collaborators of Pengxin Yu 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 Pengxin Yu. Pengxin Yu 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 1
2 1
3 1
4 4
5 16
6 3
7 3
8 4
9 1
10 31
11 13
12 6
13 24
14 8
15 79
16 34
17 77
18 35
19 43
20 17

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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2026