Suiyi Ling

539 total citations
18 papers, 240 citations indexed

About

Suiyi Ling is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Cognitive Neuroscience. According to data from OpenAlex, Suiyi Ling has authored 18 papers receiving a total of 240 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 2 papers in Cognitive Neuroscience. Recurrent topics in Suiyi Ling's work include Image and Video Quality Assessment (13 papers), Visual Attention and Saliency Detection (7 papers) and Advanced Image Processing Techniques (5 papers). Suiyi Ling is often cited by papers focused on Image and Video Quality Assessment (13 papers), Visual Attention and Saliency Detection (7 papers) and Advanced Image Processing Techniques (5 papers). Suiyi Ling collaborates with scholars based in France, China and United States. Suiyi Ling's co-authors include Patrick Le Callet, Jing Li, Zhaohui Che, Junle Wang, Wei Zhou, Gene Cheung, Guangtao Zhai, Jiahua Xu, Zhibo Chen and Ali Borji and has published in prestigious journals such as IEEE Transactions on Image Processing, Pattern Recognition and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Suiyi Ling

18 papers receiving 238 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Suiyi Ling France 11 183 58 58 22 15 18 240
Yabin Zhang China 11 285 1.6× 14 0.2× 86 1.5× 28 1.3× 11 0.7× 25 342
Zhiqing Guo China 10 266 1.5× 74 1.3× 21 0.4× 28 1.3× 9 0.6× 28 353
Narek Tumanyan Israel 3 250 1.4× 37 0.6× 16 0.3× 28 1.3× 3 0.2× 5 306
Jeremy Jancsary Austria 9 270 1.5× 54 0.9× 140 2.4× 6 0.3× 6 0.4× 18 328
Krishna Kumar Singh United States 5 279 1.5× 57 1.0× 19 0.3× 22 1.0× 3 0.2× 12 329
Xiaomeng Wu Japan 10 197 1.1× 32 0.6× 71 1.2× 19 0.9× 6 0.4× 42 278
Seonghyeon Nam South Korea 8 268 1.5× 28 0.5× 136 2.3× 5 0.2× 15 1.0× 16 317
Thai V. Hoang France 12 214 1.2× 25 0.4× 42 0.7× 13 0.6× 4 0.3× 19 280

Countries citing papers authored by Suiyi Ling

Since Specialization
Citations

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

Fields of papers citing papers by Suiyi Ling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suiyi Ling

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

All Works

18 of 18 papers shown
1.
Ling, Suiyi, et al.. (2022). Considering User Agreement in Learning to Predict the Aesthetic Quality. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 1790–1794. 2 indexed citations
2.
Ling, Suiyi, et al.. (2022). Subjective And Objective Quality Assessment Of Mobile Gaming Video. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 1810–1814. 12 indexed citations
3.
Ling, Suiyi, et al.. (2022). BR-NPA: A non-parametric high-resolution attention model to improve the interpretability of attention. Pattern Recognition. 132. 108927–108927. 4 indexed citations
4.
Che, Zhaohui, Ali Borji, Guangtao Zhai, et al.. (2021). Adversarial Attack Against Deep Saliency Models Powered by Non-Redundant Priors. IEEE Transactions on Image Processing. 30. 1973–1988. 16 indexed citations
5.
Li, Jing, Suiyi Ling, Junle Wang, & Patrick Le Callet. (2020). A Probabilistic Graphical Model for Analyzing the Subjective Visual Quality Assessment Data from Crowdsourcing. HAL (Le Centre pour la Communication Scientifique Directe). 3339–3347. 15 indexed citations
6.
Ling, Suiyi, Jing Li, Zhaohui Che, et al.. (2020). Quality Assessment of Free-Viewpoint Videos by Quantifying the Elastic Changes of Multi-Scale Motion Trajectories. IEEE Transactions on Image Processing. 30. 517–531. 13 indexed citations
7.
Che, Zhaohui, Ali Borji, Guangtao Zhai, et al.. (2020). A New Ensemble Adversarial Attack Powered by Long-Term Gradient Memories. Proceedings of the AAAI Conference on Artificial Intelligence. 34(4). 3405–3413. 13 indexed citations
8.
Xu, Jiahua, Wei Zhou, Zhibo Chen, Suiyi Ling, & Patrick Le Callet. (2020). Binocular Rivalry Oriented Predictive Autoencoding Network for Blind Stereoscopic Image Quality Measurement. IEEE Transactions on Instrumentation and Measurement. 70. 1–13. 38 indexed citations
9.
Che, Zhaohui, Ali Borji, Guangtao Zhai, et al.. (2020). SMGEA: A New Ensemble Adversarial Attack Powered by Long-Term Gradient Memories. IEEE Transactions on Neural Networks and Learning Systems. 33(3). 1051–1065. 22 indexed citations
10.
Ling, Suiyi, Jing Li, Zhaohui Che, et al.. (2020). Few-Shot Pill Recognition. SPIRE - Sciences Po Institutional REpository. 9786–9795. 18 indexed citations
11.
Ling, Suiyi, Jing Li, Zhaohui Che, et al.. (2020). Re-Visiting Discriminator for Blind Free-Viewpoint Image Quality Assessment. IEEE Transactions on Multimedia. 23. 4245–4258. 15 indexed citations
12.
Ling, Suiyi, Jing Li, Patrick Le Callet, & Junle Wang. (2019). Perceptual Representations of Structural Information in Images: Application to Quality Assessment of Synthesized View in FTV Scenario. HAL (Le Centre pour la Communication Scientifique Directe). 1735–1739. 2 indexed citations
13.
Ling, Suiyi, Jesús Gutiérrez, Ke Gu, & Patrick Le Callet. (2019). Prediction of the Influence of Navigation Scan-Path on Perceived Quality of Free-Viewpoint Videos. IEEE Journal on Emerging and Selected Topics in Circuits and Systems. 9(1). 204–216. 15 indexed citations
14.
Zhou, Yu, Leida Li, Suiyi Ling, & Patrick Le Callet. (2019). Quality assessment for view synthesis using low-level and mid-level structural representation. Signal Processing Image Communication. 74. 309–321. 9 indexed citations
15.
Ling, Suiyi, Patrick Le Callet, & Zitong Yu. (2018). The Role of Structure and Textural Information in Image Utility and Quality Assessment Tasks. HAL (Le Centre pour la Communication Scientifique Directe). 1(1). 10501–1. 6 indexed citations
16.
Ling, Suiyi, Gene Cheung, & Patrick Le Callet. (2018). No-Reference Quality Assessment for Stitched Panoramic Images Using Convolutional Sparse Coding and Compound Feature Selection. HAL (Le Centre pour la Communication Scientifique Directe). 1–6. 26 indexed citations
17.
Ling, Suiyi & Patrick Le Callet. (2017). Image Quality Assessment for DIBR Synthesized Views using Elastic Metric. HAL (Le Centre pour la Communication Scientifique Directe). 1157–1163. 9 indexed citations
18.

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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