Yun Gu

2.5k total citations · 1 hit paper
90 papers, 1.5k citations indexed

About

Yun Gu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Yun Gu has authored 90 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Computer Vision and Pattern Recognition, 27 papers in Artificial Intelligence and 23 papers in Biomedical Engineering. Recurrent topics in Yun Gu's work include Advanced Image and Video Retrieval Techniques (14 papers), Radiomics and Machine Learning in Medical Imaging (13 papers) and AI in cancer detection (12 papers). Yun Gu is often cited by papers focused on Advanced Image and Video Retrieval Techniques (14 papers), Radiomics and Machine Learning in Medical Imaging (13 papers) and AI in cancer detection (12 papers). Yun Gu collaborates with scholars based in China, United Kingdom and Denmark. Yun Gu's co-authors include Jie Yang, Guang‐Zhong Yang, Dai Wang, Hao Zheng, Xiaohong Guan, Ting Liu, Dago M. de Leeuw, Ilias Katsouras, Tim B. van Driel and M. Nielsen and has published in prestigious journals such as Nature Materials, Scientific Reports and Spine.

In The Last Decade

Yun Gu

77 papers receiving 1.5k citations

Hit Papers

The negative piezoelectric effect of the ferroelectric po... 2015 2026 2018 2022 2015 100 200 300 400
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. The negative piezoelectric effect of the ferroelectric polymer poly(vinylidene fluoride)
    2015 405 citations Ilias Katsouras, Kamal Asadi et al. Nature Materials profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yun Gu China 19 488 366 297 247 243 90 1.5k
Yu Dai China 21 485 1.0× 403 1.1× 273 0.9× 223 0.9× 382 1.6× 120 1.4k
Jing Xiong China 20 447 0.9× 363 1.0× 290 1.0× 380 1.5× 110 0.5× 117 1.5k
Dongdong Yu China 17 122 0.3× 197 0.5× 429 1.4× 321 1.3× 357 1.5× 50 1.4k
Hassan Elahi Italy 20 607 1.2× 90 0.2× 132 0.4× 528 2.1× 191 0.8× 82 1.8k
Qin Lin China 16 598 1.2× 92 0.3× 103 0.3× 364 1.5× 112 0.5× 67 1.4k
Huiqi Li China 29 303 0.6× 840 2.3× 1.1k 3.6× 238 1.0× 547 2.3× 140 2.7k
Ning Guo China 22 524 1.1× 124 0.3× 130 0.4× 456 1.8× 75 0.3× 131 1.7k
Heming Zhao China 16 269 0.6× 321 0.9× 353 1.2× 299 1.2× 366 1.5× 117 1.3k
Yue Chen United States 19 1.3k 2.7× 178 0.5× 189 0.6× 392 1.6× 57 0.2× 101 2.5k

Countries citing papers authored by Yun Gu

Since Specialization
Citations

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

Fields of papers citing papers by Yun Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yun Gu

This figure shows the co-authorship network connecting the top 25 collaborators of Yun Gu. A scholar is included among the top collaborators of Yun 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 Yun Gu. Yun 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
1.
Zhang, Xinhua, et al.. (2025). Synergistic impact of MdERF2 and MdPUB17 on the biosynthesis of wax in apple epidermis. Horticultural Plant Journal. 11(4). 1429–1439.
2.
Deng, Zhongying, Ye Jin, Yanzhou Su, et al.. (2025). A-Eval: A benchmark for cross-dataset and cross-modality evaluation of abdominal multi-organ segmentation. Medical Image Analysis. 101. 103499–103499. 1 indexed citations
3.
Yang, Yang, Yun Gu, Min Wu, et al.. (2025). Radiosensitizing effects of olaparib nanoparticles modified by Bifidobacterium antibodies on lung cancer. Reactive and Functional Polymers. 217. 106464–106464. 1 indexed citations
4.
Zhang, Minghui, et al.. (2025). SLoRD: Structural Low-Rank Descriptors for Shape Consistency in Vertebrae Segmentation. IEEE Journal of Biomedical and Health Informatics. 29(11). 8186–8198.
5.
Huang, Ziyan, Zhongying Deng, Zhikai Yang, et al.. (2025). Revisiting model scaling with a U-net benchmark for 3D medical image segmentation. Scientific Reports. 15(1). 29795–29795. 2 indexed citations
6.
7.
8.
Zheng, Hao, et al.. (2024). Affine Collaborative Normalization: A shortcut for adaptation in medical image analysis. Pattern Recognition. 153. 110528–110528.
9.
Zhang, Xinyue, Xinhua Zhang, Yun Gu, et al.. (2024). MdERF2 regulates cuticle wax formation by directly activating MdLACS2, MdCER1 and MdCER6 of apple fruit during postharvest. Journal of Integrative Agriculture. 24(6). 2229–2239. 1 indexed citations
10.
Li, Ling, Peng Song, Lu Zou, et al.. (2024). Metabolite profiling of Shenhua compound in rats and pharmacokinetics study of four bioactive compounds with liquid chromatography combined with electrospray ionization tandem mass spectrometry. Journal of Pharmaceutical and Biomedical Analysis. 255. 116626–116626. 1 indexed citations
11.
Gu, Yun, et al.. (2023). Fast cancer metastasis location based on dual magnification hard example mining network in whole-slide images. Computers in Biology and Medicine. 158. 106880–106880. 6 indexed citations
12.
Gu, Yun, et al.. (2022). Disparity-constrained stereo endoscopic image super-resolution. International Journal of Computer Assisted Radiology and Surgery. 17(5). 867–875. 9 indexed citations
13.
Zhang, Minghui, et al.. (2022). LTSP: long-term slice propagation for accurate airway segmentation. International Journal of Computer Assisted Radiology and Surgery. 17(5). 857–865. 9 indexed citations
14.
Gu, Yun, et al.. (2022). Learning for retinal image quality assessment with label regularization. Computer Methods and Programs in Biomedicine. 228. 107238–107238. 5 indexed citations
15.
Christensen, Erik Damgaard, Yun Gu, Jan Kehres, R. Feidenhans’l, & Ulrik L. Olsen. (2017). Spectral correction algorithm for multispectral CdTe x-ray detectors. Research at the University of Copenhagen (University of Copenhagen). 16–16. 17 indexed citations
16.
Zhou, Lei, Qi Yu, Xun Xu, Yun Gu, & Jie Yang. (2017). Improving dense conditional random field for retinal vessel segmentation by discriminative feature learning and thin-vessel enhancement. Computer Methods and Programs in Biomedicine. 148. 13–25. 57 indexed citations
17.
18.
Katsouras, Ilias, Kamal Asadi, Mengyuan Li, et al.. (2015). The negative piezoelectric effect of the ferroelectric polymer poly(vinylidene fluoride). Nature Materials. 15(1). 78–84. 405 indexed citations breakdown →
19.
Wang, Dai, et al.. (2013). A survey on bad data injection attack in smart grid. 1–6. 41 indexed citations
20.
Hoppenfeld, Stanley, et al.. (2003). The Rib Epiphysis and Other Growth Centers as Indicators of the End of Spinal Growth. Spine. 29(1). 47–50. 43 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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