Shuyong Gao

998 total citations · 1 hit paper
24 papers, 571 citations indexed

About

Shuyong Gao is a scholar working on Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology and Artificial Intelligence. According to data from OpenAlex, Shuyong Gao has authored 24 papers receiving a total of 571 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 9 papers in Experimental and Cognitive Psychology and 5 papers in Artificial Intelligence. Recurrent topics in Shuyong Gao's work include Emotion and Mood Recognition (9 papers), Visual Attention and Saliency Detection (7 papers) and Advanced Image and Video Retrieval Techniques (7 papers). Shuyong Gao is often cited by papers focused on Emotion and Mood Recognition (9 papers), Visual Attention and Saliency Detection (7 papers) and Advanced Image and Video Retrieval Techniques (7 papers). Shuyong Gao collaborates with scholars based in China, Italy and Switzerland. Shuyong Gao's co-authors include Wenqiang Zhang, Weifeng Ge, Yixuan Sun, Yan Wang, Wei Zhang, Wei Song, Antonio Liotta, Dawei Yang, Wei Tao and Xinlei Li and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Information Sciences and IEEE Transactions on Industrial Informatics.

In The Last Decade

Shuyong Gao

21 papers receiving 563 citations

Hit Papers

A systematic review on affective computing: emotion model... 2022 2026 2023 2024 2022 50 100 150 200 250
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. A systematic review on affective computing: emotion models, databases, and recent advances
    2022 298 citations Yan Wang, Wei Song 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
Shuyong Gao China 8 287 269 119 107 59 24 571
Ciprian Corneanu Spain 8 334 1.2× 283 1.1× 61 0.5× 69 0.6× 44 0.7× 10 541
Siyang Song United Kingdom 13 261 0.9× 303 1.1× 88 0.7× 108 1.0× 123 2.1× 64 597
Evangelos Sarıyanidi United States 9 482 1.7× 426 1.6× 90 0.8× 134 1.3× 78 1.3× 29 707
Marc Oliu Simón Spain 3 299 1.0× 270 1.0× 45 0.4× 64 0.6× 43 0.7× 3 426
T. S. Ashwin India 12 138 0.5× 107 0.4× 129 1.1× 78 0.7× 30 0.5× 38 484
Yuanliu Liu China 6 285 1.0× 243 0.9× 74 0.6× 44 0.4× 24 0.4× 10 425
Nicholas J. Butko United States 11 217 0.8× 80 0.3× 90 0.8× 110 1.0× 40 0.7× 18 354
Mohan Karnati India 11 324 1.1× 308 1.1× 107 0.9× 125 1.2× 49 0.8× 27 609
Gianluca Donato United States 6 593 2.1× 356 1.3× 129 1.1× 92 0.9× 70 1.2× 7 799
Lijun Yin United States 7 831 2.9× 384 1.4× 87 0.7× 91 0.9× 42 0.7× 16 950

Countries citing papers authored by Shuyong Gao

Since Specialization
Citations

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

Fields of papers citing papers by Shuyong Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuyong Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Shuyong Gao. A scholar is included among the top collaborators of Shuyong Gao 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 Shuyong Gao. Shuyong Gao 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.
Li, Jinglun, et al.. (2025). LVOS: A Benchmark for Large-Scale Long-Term Video Object Segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence. 48(1). 946–961.
2.
Wang, Yan, et al.. (2024). All rivers run into the sea: Unified Modality Brain-Inspired Emotional Central Mechanism. 632–641. 1 indexed citations
3.
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Gao, Shuyong, et al.. (2024). Correspondence-based Generative Bayesian Deep Learning for semi-supervised volumetric medical image segmentation. Computerized Medical Imaging and Graphics. 113. 102352–102352. 3 indexed citations
6.
Wang, Yan, Wei Song, Antonio Liotta, et al.. (2024). MGR3Net: Multigranularity Region Relation Representation Network for Facial Expression Recognition in Affective Robots. IEEE Transactions on Industrial Informatics. 20(5). 7216–7226. 7 indexed citations
7.
Gao, Shuyong, et al.. (2024). A Casting Surface Dataset and Benchmark for Subtle and Confusable Defect Detection in Complex Contexts. IEEE Sensors Journal. 24(10). 16721–16733. 2 indexed citations
8.
Gao, Shuyong, et al.. (2023). TINYCOD: Tiny and Effective Model for Camouflaged Object Detection. 1–5. 7 indexed citations
9.
Wang, Yan, et al.. (2023). MSC-AD: A Multiscene Unsupervised Anomaly Detection Dataset for Small Defect Detection of Casting Surface. IEEE Transactions on Industrial Informatics. 20(4). 6041–6052. 8 indexed citations
10.
11.
Wang, Yan, Wei Song, Jun Huang, et al.. (2023). Empower smart cities with sampling-wise dynamic facial expression recognition via frame-sequence contrastive learning. Computer Communications. 216. 130–139. 4 indexed citations
12.
Guo, Qianyu, et al.. (2023). Plug-and-Play Feature Generation for Few-Shot Medical Image Classification. 1096–1103. 2 indexed citations
13.
14.
Gao, Shuyong, et al.. (2023). Go Closer to See Better: Camouflaged Object Detection via Object Area Amplification and Figure-Ground Conversion. IEEE Transactions on Circuits and Systems for Video Technology. 33(10). 5444–5457. 61 indexed citations
15.
16.
Gao, Shuyong, Wei Zhang, Yan Wang, et al.. (2022). Weakly-Supervised Salient Object Detection Using Point Supervision. Proceedings of the AAAI Conference on Artificial Intelligence. 36(1). 670–678. 33 indexed citations
17.
Wang, Yan, Yixuan Sun, Wei Song, et al.. (2022). DPCNet: Dual Path Multi-Excitation Collaborative Network for Facial Expression Representation Learning in Videos. Proceedings of the 30th ACM International Conference on Multimedia. 101–110. 39 indexed citations
18.
Zhang, Chenglong, et al.. (2022). Position-aware Joint Entity and Relation Extraction with Attention Mechanism. Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence. 4496–4502. 4 indexed citations
19.
Wang, Yan, Wei Song, Wei Tao, et al.. (2022). A Systematic Review on Affective Computing: Emotion Models, Databases, and Recent Advances. arXiv (Cornell University). 2 indexed citations
20.
Gao, Shuyong, et al.. (2017). Innovative design method of automobile profile based on Fourier descriptor. AIP conference proceedings. 1890. 40114–40114. 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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