Guangshu Hu

54 papers receiving 629 citations

Peers

Guangshu Hu
Comparison fields: 5 of 93
  • Cognitive Neuroscience 224
  • Biomedical Engineering 201
  • Radiology, Nuclear Medicine and Imaging 196
  • Cardiology and Cardiovascular Medicine 149
  • Computer Vision and Pattern Recognition 141
Replace A. F. C. Infantosi with:
A. F. C. Infantosi Brazil
Datian Ye China
Bülent Yılmaz Türkiye
Óscar Yáñez-Suárez Mexico
Sunanda Mitra United States
Richard McKinley Switzerland
Dinggang Shen United States
Chang’an A. Zhan China
J. P. C. de Weerd Netherlands
Joël Karel Netherlands
Guangshu Hu relative to A. F. C. Infantosi Brazil A. F. C. Infantosi's profile →
Citations per field
00.5×5.3×
A. F. C. Infantosi · 1×
Citations per year

Countries citing papers authored by Guangshu Hu

Since Specialization
Citations

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

Fields of papers citing papers by Guangshu Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guangshu Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Guangshu Hu. A scholar is included among the top collaborators of Guangshu Hu 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 Guangshu Hu. Guangshu Hu 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
#WorkIndexed citations
1 2
2 13
3 19
4 31
5 5
6
Effects of X-ray scatter on micro-CT
0
7
Development of a Multi-scale Noise Reduction Algorithm for Cone-beam Micro-CT Using Fuzzy Logic-based Anisotropic Filter
0
8 10
9 63
10
X-ray micro-CT system for small animal imaging
1
11
Approximate entropy analysis of inctable epilepsy treated with EEG biofeedback
1
12
Arrhythmia classification based on ECG analysis
1
13 6
14 1
15 40
16 5
17
Morphological multiscale vessel enhancement for coronary angiograms
7
18 26
19 4
20
Wavelet transform algorithm for iris recognition
1

About Guangshu Hu

Guangshu Hu is a scholar working on Signal Processing, Radiology, Nuclear Medicine and Imaging and Cognitive Neuroscience, having authored 59 papers that have together received 664 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (13 papers), Speech and Audio Processing (8 papers) and Hearing Loss and Rehabilitation (8 papers). The work is most often cited by research in Cognitive Neuroscience (224 citations), Radiology, Nuclear Medicine and Imaging (196 citations) and Computer Vision and Pattern Recognition (141 citations). Guangshu Hu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Hui Zhang, Huifang Huang, Qiang Zhu, Jie Liu, Ruiping Wang, Hui Zhang, Yan Xu, Zhangli Chen, Brian C. J. Moore and Brian R. Glasberg. Their work appears in journals such as IEEE Transactions on Image Processing, Magnetic Resonance in Medicine and IEEE Transactions on Biomedical Engineering.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026