Yanrong Guo

3.1k citations
101 papers · 2.1k indexed · 2 hit papers · h-index 22
Topics
Medical Image Segmentation Techniques (18 papers)Ultrasound Imaging and Elastography (17 papers)Ultrasound and Hyperthermia Applications (12 papers)

In The Last Decade

Yanrong Guo

92 papers receiving 2.1k citations

Hit Papers

A Brief Survey on Semantic Segmentation with Deep Learning202020262022202420202020100200300

Peers

Yanrong Guo
Comparison fields: 5 of 145
  • Computer Vision and Pattern Recognition 969
  • Radiology, Nuclear Medicine and Imaging 434
  • Artificial Intelligence 352
  • Biomedical Engineering 327
  • Media Technology 311
Replace Weihao Yu with:
Weihao Yu China
Tatsuya Harada Japan
Valery Naranjo Spain
Muhammad Arsalan South Korea
George K. Matsopoulos Greece
Jonghye Woo United States
Ewert Bengtsson Sweden
Domènec Puig Spain
Dorit Merhof Germany
Shuai Wang China
Yanrong Guo relative to Weihao Yu China Weihao Yu's profile →
Citations per field
00.5×5.9×
Weihao Yu · 1×
Citations per year

Countries citing papers authored by Yanrong Guo

Since Specialization
Citations

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

Fields of papers citing papers by Yanrong Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yanrong Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Yanrong Guo. A scholar is included among the top collaborators of Yanrong 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 Yanrong Guo. Yanrong Guo 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 1
2 1
3 34
4 52
5 2
6 1
7 6
8 7
9 9
10 32
11 2
12 48
13 24
14 10
15 5
16 5
17 11
18 11
19 41
20 19

About Yanrong Guo

Yanrong Guo is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Media Technology, having authored 101 papers that have together received 2.1k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (18 papers), Ultrasound Imaging and Elastography (17 papers) and Ultrasound and Hyperthermia Applications (12 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (969 citations), Media Technology (311 citations) and Radiology, Nuclear Medicine and Imaging (434 citations). Yanrong Guo has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Shijie Hao, Yuan Zhou, Dinggang Shen, Yaozong Gao, Meng Wang, Xu Han, Richang Hong, Xin Xu, Guorong Wu and Xin Chen. Their work appears in journals such as Journal of Clinical Oncology, IEEE Transactions on Pattern Analysis and Machine Intelligence and Scientific Reports.

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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