Yanhui Guo

957 citations
16 papers · 711 indexed · 1 hit paper · h-index 7
Topics
Image and Signal Denoising Methods (7 papers)AI in cancer detection (7 papers)Image Enhancement Techniques (4 papers)
Partner nations
ChinaUnited States

In The Last Decade

Yanhui Guo

14 papers receiving 665 citations

Hit Papers

Automated breast cancer detection and classification usin...20092026201420202009100200300400500

Peers

Yanhui Guo
Comparison fields: 5 of 67
  • Artificial Intelligence 481
  • Computer Vision and Pattern Recognition 383
  • Radiology, Nuclear Medicine and Imaging 343
  • Media Technology 158
  • Biomedical Engineering 80
Replace Ricardo J. Ferrari with:
Ricardo J. Ferrari Brazil
Wen-Jie Wu Taiwan
He Cheng United States
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Neslihan Bayramoğlu Finland
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Nikhil Kumar Tomar United States
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Yanhui Guo relative to Ricardo J. Ferrari Brazil Ricardo J. Ferrari's profile →
Citations per field
00.5×1.5×2.5×
Ricardo J. Ferrari · 1×
Citations per year

Countries citing papers authored by Yanhui Guo

Since Specialization
Citations

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

Fields of papers citing papers by Yanhui Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yanhui Guo

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

All Works

16 of 16 papers shown
#WorkIndexed citations
1 0
2 0
3 9
4 5
5 54
6
Automated breast cancer detection and classification using ultrasound images: A surveybreakdown →
547
7 11
8
A method for breast ultrasound image segmentation based on homogeneity histogram
2
9 37
10 5
11 4
12 7
13 2
14 1
15 26
16
Enhancement of mammogram based on fuzzy logic technique
1

About Yanhui Guo

Yanhui Guo is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Radiology, Nuclear Medicine and Imaging, having authored 16 papers that have together received 711 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (7 papers), AI in cancer detection (7 papers) and Image Enhancement Techniques (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (383 citations), Media Technology (158 citations) and Artificial Intelligence (481 citations). Yanhui Guo has collaborated with scholars based in China and United States. Frequent co-authors include Heng-Da Cheng, Juan Shan, Wen Ju, Ling Zhang, Yingtao Zhang, H.D. Cheng, Jiawei Tian, Yanxin Su, Jiawei Tian and Wei Zhao. Their work appears in journals such as Pattern Recognition, CATENA and Ultrasound in Medicine & Biology.

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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