Yu Gu

1.5k total citations
75 papers, 1.0k citations indexed

About

Yu Gu is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Electrical and Electronic Engineering. According to data from OpenAlex, Yu Gu has authored 75 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Vision and Pattern Recognition, 16 papers in Radiology, Nuclear Medicine and Imaging and 13 papers in Electrical and Electronic Engineering. Recurrent topics in Yu Gu's work include Radiomics and Machine Learning in Medical Imaging (12 papers), Video Surveillance and Tracking Methods (11 papers) and COVID-19 diagnosis using AI (7 papers). Yu Gu is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (12 papers), Video Surveillance and Tracking Methods (11 papers) and COVID-19 diagnosis using AI (7 papers). Yu Gu collaborates with scholars based in China, United States and Singapore. Yu Gu's co-authors include Xiaoqi Lu, Chuluo Yang, Baohua Zhang, Ying Zhao, Lidong Yang, Dahua Yu, Shaolong Gong, Cheng Zhong, Yifan Li and Tianheng Chen and has published in prestigious journals such as Applied Physics Letters, PLoS ONE and Cancer Research.

In The Last Decade

Yu Gu

59 papers receiving 1.0k citations

Peers

Yu Gu
Comparison fields: 5 of 117
  • Radiology, Nuclear Medicine and Imaging 335
  • Electrical and Electronic Engineering 326
  • Pulmonary and Respiratory Medicine 244
  • Materials Chemistry 193
  • Artificial Intelligence 141
Replace Minghui Wang with:
Minghui Wang China
Jing Pei China
S. Tamil Selvi India
Jucheng Zhang China
Mengmeng Li China
Francesco Tortorella Italy
K. Narasimhan India
Xuemei Zhao China
Yongfu Li China
Bing Nan Li China
Minghui Wang China View profile →
Citations per field, relative to Yu Gu
Yu Gu · 1×
Citations per year, relative to Yu Gu
Yu Gu · 1×

Countries citing papers authored by Yu Gu

Since Specialization
Citations

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

Fields of papers citing papers by Yu Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Gu

This figure shows the co-authorship network connecting the top 25 collaborators of Yu Gu. A scholar is included among the top collaborators of Yu Gu 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 Yu Gu. Yu Gu 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 0
3 1
4 2
5 4
6 3
7 19
8 0
9 0
10 8
11 1
12 1
13 24
14 8
15 3
16 5
17 9
18
Measurement and Analysis on SH-CCT Curves of SA738Gr.B Steel for Steel Container of Nuclear Power Station
1
19 2
20
System Architecture Based on the Ontology Model Development
1

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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