Kaiyou Song

717 total citations
18 papers, 522 citations indexed

About

Kaiyou Song is a scholar working on Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering and Artificial Intelligence. According to data from OpenAlex, Kaiyou Song has authored 18 papers receiving a total of 522 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 7 papers in Industrial and Manufacturing Engineering and 5 papers in Artificial Intelligence. Recurrent topics in Kaiyou Song's work include Advanced Image and Video Retrieval Techniques (8 papers), Industrial Vision Systems and Defect Detection (7 papers) and Multimodal Machine Learning Applications (4 papers). Kaiyou Song is often cited by papers focused on Advanced Image and Video Retrieval Techniques (8 papers), Industrial Vision Systems and Defect Detection (7 papers) and Multimodal Machine Learning Applications (4 papers). Kaiyou Song collaborates with scholars based in China, United States and South Korea. Kaiyou Song's co-authors include Zhouping Yin, Hua Yang, Yifan Chen, Shuang Mei, Bo Tao, Jin Xie, Fei‐Yue Wang, Haochen Wang, Shan Zhang and Junsong Fan and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Pattern Recognition.

In The Last Decade

Kaiyou Song

15 papers receiving 501 citations

Peers

Kaiyou Song
Xinyi Gong China
Gongjie Zhang Singapore
Xuewu Zhang China
G. Fornarelli Italy
Chia-Wen Kuo Taiwan
Sheng Liu China
Cien Fan China
ShahRukh Athar United States
Xinyi Gong China
Kaiyou Song
Citations per year, relative to Kaiyou Song Kaiyou Song (= 1×) peers Xinyi Gong

Countries citing papers authored by Kaiyou Song

Since Specialization
Citations

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

Fields of papers citing papers by Kaiyou Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaiyou Song

This figure shows the co-authorship network connecting the top 25 collaborators of Kaiyou Song. A scholar is included among the top collaborators of Kaiyou Song 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 Kaiyou Song. Kaiyou Song 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.
Fan, Junsong, Yuxi Wang, Kaiyou Song, et al.. (2025). Bootstrap Masked Visual Modeling via Hard Patch Mining. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(8). 6200–6214.
2.
Song, Kaiyou, Shan Zhang, & Tong Wang. (2024). Semantic-Aware Autoregressive Image Modeling for Visual Representation Learning. Proceedings of the AAAI Conference on Artificial Intelligence. 38(5). 4925–4933.
3.
4.
Wang, Haochen, Kaiyou Song, Junsong Fan, et al.. (2023). Hard Patches Mining for Masked Image Modeling. 10375–10385. 36 indexed citations
5.
Song, Kaiyou, et al.. (2023). Multi-Mode Online Knowledge Distillation for Self-Supervised Visual Representation Learning. 11848–11857. 23 indexed citations
6.
Song, Kaiyou, Hua Yang, & Zhouping Yin. (2022). Anomaly Composition and Decomposition Network for Accurate Visual Inspection of Texture Defects. IEEE Transactions on Instrumentation and Measurement. 71. 1–14. 13 indexed citations
7.
Song, Kaiyou, Hua Yang, & Zhouping Yin. (2021). Multi-Scale Boosting Feature Encoding Network for Texture Recognition. IEEE Transactions on Circuits and Systems for Video Technology. 31(11). 4269–4282. 12 indexed citations
8.
Yang, Hua, et al.. (2021). Weighted Feature Histogram of Multi-Scale Local Patch Using Multi-Bit Binary Descriptor for Face Recognition. IEEE Transactions on Image Processing. 30. 3858–3871. 10 indexed citations
9.
Yang, Hua, et al.. (2020). Autolabeling-Enhanced Active Learning for Cost-Efficient Surface Defect Visual Classification. IEEE Transactions on Instrumentation and Measurement. 70. 1–15. 16 indexed citations
10.
Yang, Hua, et al.. (2020). An Anomaly Feature-Editing-Based Adversarial Network for Texture Defect Visual Inspection. IEEE Transactions on Industrial Informatics. 17(3). 2220–2230. 46 indexed citations
11.
Yang, Hua, et al.. (2019). Large-scale and rotation-invariant template matching using adaptive radial ring code histograms. Pattern Recognition. 91. 345–356. 20 indexed citations
12.
Yang, Hua, et al.. (2019). Robust Semantic Template Matching Using a Superpixel Region Binary Descriptor. IEEE Transactions on Image Processing. 28(6). 3061–3074. 22 indexed citations
13.
Yang, Hua, Yifan Chen, Kaiyou Song, & Zhouping Yin. (2019). Multiscale Feature-Clustering-Based Fully Convolutional Autoencoder for Fast Accurate Visual Inspection of Texture Surface Defects. IEEE Transactions on Automation Science and Engineering. 16(3). 1450–1467. 123 indexed citations
14.
Yang, Hua, et al.. (2018). Robust visual tracking based on deep convolutional neural networks and kernelized correlation filters. Journal of Electronic Imaging. 27(2). 1–1. 8 indexed citations
15.
Yang, Hua, Kaiyou Song, Shuang Mei, & Zhouping Yin. (2018). An Accurate Mura Defect Vision Inspection Method Using Outlier-Prejudging-Based Image Background Construction and Region-Gradient-Based Level Set. IEEE Transactions on Automation Science and Engineering. 15(4). 1704–1721. 34 indexed citations
16.
Song, Kaiyou, Hua Yang, & Zhouping Yin. (2018). Multi-Scale Attention Deep Neural Network for Fast Accurate Object Detection. IEEE Transactions on Circuits and Systems for Video Technology. 29(10). 2972–2985. 56 indexed citations
17.
Yang, Hua, Shuang Mei, Kaiyou Song, Bo Tao, & Zhouping Yin. (2017). Transfer-Learning-Based Online Mura Defect Classification. IEEE Transactions on Semiconductor Manufacturing. 31(1). 116–123. 85 indexed citations
18.
Kang, Seokho, et al.. (2009). Automatic defect classification of TFT-LCD panels using machine learning. 2175–2177. 18 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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2026