Gengbo Liu

497 total citations
10 papers, 233 citations indexed

About

Gengbo Liu is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Statistics and Probability. According to data from OpenAlex, Gengbo Liu has authored 10 papers receiving a total of 233 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 3 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Statistics and Probability. Recurrent topics in Gengbo Liu's work include Radiomics and Machine Learning in Medical Imaging (3 papers), Statistical Methods in Clinical Trials (3 papers) and MRI in cancer diagnosis (2 papers). Gengbo Liu is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (3 papers), Statistical Methods in Clinical Trials (3 papers) and MRI in cancer diagnosis (2 papers). Gengbo Liu collaborates with scholars based in United States and China. Gengbo Liu's co-authors include James Lu, Xinyuan Zhang, Kaiwen Deng, Yuanfang Guan, Youngho Seo, Debasis Mitra, Ella F. Jones, Roy Harnish, Vignesh A. Arasu and John Kornak and has published in prestigious journals such as Journal of Membrane Science, Journal of Biomedical Materials Research Part A and iScience.

In The Last Decade

Gengbo Liu

10 papers receiving 231 citations

Peers

Gengbo Liu
Comparison fields: 5 of 75
  • Radiology, Nuclear Medicine and Imaging 106
  • Artificial Intelligence 59
  • Biomedical Engineering 45
  • Computational Theory and Mathematics 30
  • Statistics and Probability 28
Replace Eugene Jeong with:
Eugene Jeong South Korea
Jean Feydy France
Michael Wilkinson United States
Fleur Jeanquartier Austria
Quang Hien Kha Taiwan
Xiangji Pan China
Heming Yao United States
Eugene Jeong South Korea View profile →
Citations per field, relative to Gengbo Liu
Gengbo Liu · 1×
Citations per year, relative to Gengbo Liu
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Countries citing papers authored by Gengbo Liu

Since Specialization
Citations

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

Fields of papers citing papers by Gengbo Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gengbo Liu

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

All Works

10 of 10 papers shown
# Work Indexed citations
1 2
2 7
3 20
4 7
5 11
6 74
7 14
8 7
9 77
10 14

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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