Guanyu Yang

3.5k total citations · 1 hit paper
122 papers, 1.9k citations indexed

About

Guanyu Yang is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Biomedical Engineering. According to data from OpenAlex, Guanyu Yang has authored 122 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Radiology, Nuclear Medicine and Imaging, 40 papers in Computer Vision and Pattern Recognition and 36 papers in Biomedical Engineering. Recurrent topics in Guanyu Yang's work include Advanced X-ray and CT Imaging (27 papers), Medical Image Segmentation Techniques (25 papers) and Radiomics and Machine Learning in Medical Imaging (24 papers). Guanyu Yang is often cited by papers focused on Advanced X-ray and CT Imaging (27 papers), Medical Image Segmentation Techniques (25 papers) and Radiomics and Machine Learning in Medical Imaging (24 papers). Guanyu Yang collaborates with scholars based in China, France and United States. Guanyu Yang's co-authors include Yang Chen, Huazhong Shu, Xiaoming Qi, Limin Luo, Yaolei Qi, Jean-Louis Coatrieux, Yuting He, Yuan Zhang, Rongjun Ge and Shuo Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, Cancer Research and IEEE Transactions on Image Processing.

In The Last Decade

Guanyu Yang

115 papers receiving 1.9k citations

Hit Papers

Dynamic Snake Convolution based on Topological Geometric ... 2023 2026 2024 2025 2023 50 100 150 200
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Dynamic Snake Convolution based on Topological Geometric Constraints for Tubular Structure Segmentation
    2023 247 citations Xiaoming Qi, Guanyu Yang et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Guanyu Yang China 24 952 734 505 379 287 122 1.9k
Michał Strzelecki Poland 18 1.1k 1.2× 428 0.6× 376 0.7× 367 1.0× 359 1.3× 106 2.4k
Andrzej Materka Poland 22 2.0k 2.1× 525 0.7× 650 1.3× 570 1.5× 430 1.5× 85 3.7k
Jason Dowling Australia 24 1.7k 1.8× 437 0.6× 662 1.3× 550 1.5× 381 1.3× 129 2.7k
Abdel Aziz Taha Germany 8 935 1.0× 806 1.1× 460 0.9× 331 0.9× 410 1.4× 11 2.3k
Miguel Á. González Ballester Spain 27 629 0.7× 522 0.7× 707 1.4× 240 0.6× 336 1.2× 165 2.4k
Amir A. Amini United States 21 1.3k 1.4× 1.3k 1.7× 468 0.9× 293 0.8× 347 1.2× 128 2.6k
Parvin Mousavi Canada 27 741 0.8× 504 0.7× 855 1.7× 422 1.1× 624 2.2× 199 2.5k
Yao Lu China 24 956 1.0× 519 0.7× 410 0.8× 501 1.3× 671 2.3× 161 2.2k
Elsa D. Angelini France 24 1.3k 1.3× 1.1k 1.5× 628 1.2× 623 1.6× 260 0.9× 166 3.1k
Enmin Song China 28 773 0.8× 943 1.3× 266 0.5× 289 0.8× 576 2.0× 142 2.7k

Countries citing papers authored by Guanyu Yang

Since Specialization
Citations

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

Fields of papers citing papers by Guanyu Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guanyu Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Guanyu Yang. A scholar is included among the top collaborators of Guanyu Yang 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 Guanyu Yang. Guanyu Yang 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
1.
Zhang, Liwen, Hui Hui, Lishuang Guo, et al.. (2024). A systematic 3-D magnetic particle imaging simulation model for quantitative analysis of reconstruction image quality. Computer Methods and Programs in Biomedicine. 252. 108250–108250.
2.
Wang, Pei, et al.. (2024). High temperature tensile properties and deformation behavior of CoCrFeNiW0.2 high entropy alloy. International Journal of Refractory Metals and Hard Materials. 124. 106776–106776. 5 indexed citations
3.
Wang, Rong, Yuan Zhang, Minghui Duan, et al.. (2024). Development and validation of a deep learning model for morphological assessment of myeloproliferative neoplasms using clinical data and digital pathology. British Journal of Haematology. 206(2). 596–606. 1 indexed citations
4.
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Yang, Guanyu, et al.. (2024). Deep cervical lymphovenous bypass for Parkinson’s disease: A hypothesis. Medical Hypotheses. 195. 111559–111559. 4 indexed citations
6.
Wu, Jiasong, Youyong Kong, Chunfeng Yang, et al.. (2024). Multiscale Low-Frequency Memory Network for Improved Feature Extraction in Convolutional Neural Networks. Proceedings of the AAAI Conference on Artificial Intelligence. 38(6). 5967–5975. 4 indexed citations
7.
Qi, Xiaoming, et al.. (2024). Polyp Segmentation via Semantic Enhanced Perceptual Network. IEEE Transactions on Circuits and Systems for Video Technology. 34(12). 12594–12607. 5 indexed citations
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Guo, Chang, et al.. (2023). Investigation on the microstructure evolution and mechanical properties of electromagnetic rail material in a launch environment. Materials Characterization. 208. 113582–113582. 5 indexed citations
11.
Zhang, Chen, Guanyu Yang, Fuqiang Li, et al.. (2023). CTANet: Confidence-Based Threshold Adaption Network for Semi-Supervised Segmentation of Uterine Regions from MR Images for HIFU Treatment. IRBM. 44(3). 100747–100747. 6 indexed citations
12.
Wu, Jiasong, Qingchun Li, Guanyu Yang, et al.. (2023). Self-supervised speech denoising using only noisy audio signals. Speech Communication. 149. 63–73. 7 indexed citations
13.
14.
Zhang, Chen, C. Lafond, A. Barateau, et al.. (2022). Automatic segmentation for plan-of-the-day selection in CBCT-guided adaptive radiation therapy of cervical cancer. Physics in Medicine and Biology. 67(24). 245020–245020. 6 indexed citations
15.
Yan, Ye, Lizhi Shao, Zhenyu Liu, et al.. (2021). Deep Learning with Quantitative Features of Magnetic Resonance Images to Predict Biochemical Recurrence of Radical Prostatectomy: A Multi-Center Study. Cancers. 13(12). 3098–3098. 26 indexed citations
16.
Wu, Jiasong, Xiang Qiu, Jing Zhang, et al.. (2021). Fractional Wavelet-Based Generative Scattering Networks. Frontiers in Neurorobotics. 15. 752752–752752. 2 indexed citations
17.
Zhang, Libo, et al.. (2019). An Improved Real-Time Endovascular Guidewire Position Simulation Using Activity on Edge Network. IEEE Access. 7. 126618–126624. 6 indexed citations
18.
Cao, Qing, Alexander Broersen, Michiel A. de Graaf, et al.. (2017). Automatic identification of coronary tree anatomy in coronary computed tomography angiography. International journal of cardiac imaging. 33(11). 1809–1819. 23 indexed citations
19.
20.
Yang, Guanyu, Pieter Kitslaar, Michel Frenay, et al.. (2011). Automatic centerline extraction of coronary arteries in coronary computed tomographic angiography. International journal of cardiac imaging. 28(4). 921–933. 119 indexed citations

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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