Guangling Sun

1.2k total citations
35 papers, 876 citations indexed

About

Guangling Sun is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Sensory Systems. According to data from OpenAlex, Guangling Sun has authored 35 papers receiving a total of 876 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Computer Vision and Pattern Recognition, 10 papers in Artificial Intelligence and 4 papers in Sensory Systems. Recurrent topics in Guangling Sun's work include Visual Attention and Saliency Detection (12 papers), Adversarial Robustness in Machine Learning (9 papers) and Advanced Image and Video Retrieval Techniques (9 papers). Guangling Sun is often cited by papers focused on Visual Attention and Saliency Detection (12 papers), Adversarial Robustness in Machine Learning (9 papers) and Advanced Image and Video Retrieval Techniques (9 papers). Guangling Sun collaborates with scholars based in China, United States and Australia. Guangling Sun's co-authors include Zhi Liu, Rui Huang, Weidong Jiang, Linwei Ye, Liquan Shen, Huan Du, Olivier Le Meur, Junhao Li, Tongwei Ren and Xiaofei Zhou and has published in prestigious journals such as Journal of Neuroscience, IEEE Transactions on Image Processing and Neurocomputing.

In The Last Decade

Guangling Sun

34 papers receiving 862 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guangling Sun China 14 640 172 161 110 81 35 876
Lijuan Duan China 19 420 0.7× 250 1.5× 321 2.0× 93 0.8× 83 1.0× 95 1.1k
Matthias Minderer United States 8 191 0.3× 125 0.7× 331 2.1× 24 0.2× 22 0.3× 11 684
Pietro Perona United States 9 508 0.8× 170 1.0× 241 1.5× 87 0.8× 24 0.3× 12 742
Cheston Tan Singapore 13 476 0.7× 182 1.1× 175 1.1× 27 0.2× 33 0.4× 48 799
Zongtan Zhou China 13 758 1.2× 99 0.6× 128 0.8× 63 0.6× 227 2.8× 26 986
Stanley Bileschi United States 8 869 1.4× 223 1.3× 448 2.8× 20 0.2× 162 2.0× 11 1.3k
Anne Guérin-Dugué France 15 345 0.5× 92 0.5× 300 1.9× 73 0.7× 59 0.7× 42 689
Kerstin Schill Germany 14 239 0.4× 75 0.4× 342 2.1× 53 0.5× 28 0.3× 57 745
María Vanrell Spain 18 926 1.4× 108 0.6× 176 1.1× 116 1.1× 201 2.5× 54 1.2k
Ziming Liu China 15 308 0.5× 122 0.7× 108 0.7× 12 0.1× 90 1.1× 42 828

Countries citing papers authored by Guangling Sun

Since Specialization
Citations

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

Fields of papers citing papers by Guangling Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guangling Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Guangling Sun. A scholar is included among the top collaborators of Guangling Sun 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 Guangling Sun. Guangling Sun 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.
Cheng, Qian, et al.. (2024). TraceGuard: Fine-Tuning Pre-Trained Model by Using Stego Images to Trace Its User. Mathematics. 12(21). 3333–3333. 1 indexed citations
2.
Sun, Guangling, et al.. (2024). Leveraging Universal Adversarial Perturbation and Frequency Band Filters Against Face Recognition. Mathematics. 12(20). 3287–3287. 1 indexed citations
3.
Liu, Yong, et al.. (2024). KRT-FUAP: Key Regions Tuned via Flow Field for Facial Universal Adversarial Perturbation. Applied Sciences. 14(12). 4973–4973.
4.
Cao, Yiyi, Lei Chen, Yuan Yuan, & Guangling Sun. (2023). Cucumber disease recognition with small samples using image-text-label-based multi-modal language model. Computers and Electronics in Agriculture. 211. 107993–107993. 34 indexed citations
5.
Wu, Hanzhou, et al.. (2023). AWEncoder: Adversarial Watermarking Pre-Trained Encoders in Contrastive Learning. Applied Sciences. 13(6). 3531–3531. 2 indexed citations
6.
Sun, Guangling, et al.. (2022). ApaNet: adversarial perturbations alleviation network for face verification. Multimedia Tools and Applications. 82(5). 7443–7461. 6 indexed citations
7.
Sun, Guangling, et al.. (2020). Complete Defense Framework to Protect Deep Neural Networks against Adversarial Examples. Mathematical Problems in Engineering. 2020. 1–17. 8 indexed citations
8.
Sun, Guangling, et al.. (2019). RGN-Defense: erasing adversarial perturbations using deep residual generative network. Journal of Electronic Imaging. 28(1). 1–1. 2 indexed citations
9.
Sun, Guangling, et al.. (2019). Integration of statistical detector and Gaussian noise injection detector for adversarial example detection in deep neural networks. Multimedia Tools and Applications. 78(14). 20409–20429. 14 indexed citations
10.
Sun, Guangling, et al.. (2019). Cleaning Adversarial Perturbations via Residual Generative Network for Face Verification. 2597–2601. 5 indexed citations
11.
Zhou, Xiaofei, Zhi Liu, Kai Li, & Guangling Sun. (2018). Video saliency detection via bagging-based prediction and spatiotemporal propagation. Journal of Visual Communication and Image Representation. 51. 131–143. 14 indexed citations
12.
Liu, Zhi, et al.. (2017). Depth-Aware Salient Object Detection and Segmentation via Multiscale Discriminative Saliency Fusion and Bootstrap Learning. IEEE Transactions on Image Processing. 26(9). 4204–4216. 169 indexed citations
13.
Zhou, Xiaofei, Zhi Liu, Guangling Sun, & Xiangyang Wang. (2016). Adaptive saliency fusion based on quality assessment. Multimedia Tools and Applications. 76(22). 23187–23211. 13 indexed citations
14.
Liu, Zhi, et al.. (2015). Saliency detection for RGBD images. 1–4. 10 indexed citations
15.
16.
Sun, Guangling, et al.. (2013). Seamless Reconstruction of Intact Adult-Born Neurons by Serial End-Block Imaging Reveals Complex Axonal Guidance and Development in the Adult Hippocampus. Journal of Neuroscience. 33(28). 11400–11411. 57 indexed citations
17.
Zhang, Xinpeng, Guangling Sun, Liquan Shen, & Chuan Qin. (2013). Compression of encrypted images with multi-layer decomposition. Multimedia Tools and Applications. 72(1). 489–502. 25 indexed citations
18.
Sun, Guangling, Susana T. L. Chung, & Bosco S. Tjan. (2010). Ideal observer analysis of crowding and the reduction of crowding through learning. Journal of Vision. 10(5). 16–16. 57 indexed citations
19.
Sun, Guangling, et al.. (2009). Vector Polygon Blind Watermarking Based on Canonical Correlation Analysis. 2. 544–548. 2 indexed citations
20.
Sun, Guangling & Xianglong Tang. (2006). Fuzzy gradient feature extraction method based on gradient normalization. Ha'erbin gongye daxue xuebao. 1 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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