Lingyu Si

499 total citations · 1 hit paper
29 papers, 307 citations indexed

About

Lingyu Si is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Lingyu Si has authored 29 papers receiving a total of 307 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 14 papers in Artificial Intelligence and 7 papers in Aerospace Engineering. Recurrent topics in Lingyu Si's work include Advanced Neural Network Applications (6 papers), Advanced SAR Imaging Techniques (6 papers) and Multimodal Machine Learning Applications (6 papers). Lingyu Si is often cited by papers focused on Advanced Neural Network Applications (6 papers), Advanced SAR Imaging Techniques (6 papers) and Multimodal Machine Learning Applications (6 papers). Lingyu Si collaborates with scholars based in China, Australia and United States. Lingyu Si's co-authors include Fuchun Sun, Changwen Zheng, Ruiheng Zhang, Lixin Xu, Wenwen Qiang, Shuo Yang, Yumeng Liu, Hongwei Dong, Lamei Zhang and Jianwei Niu and has published in prestigious journals such as Nature Communications, IEEE Transactions on Geoscience and Remote Sensing and Expert Systems with Applications.

In The Last Decade

Lingyu Si

24 papers receiving 302 citations

Hit Papers

Part-Aware Correlation Networks for Few-Shot Learning 2024 2026 2025 2024 10 20 30 40
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. Part-Aware Correlation Networks for Few-Shot Learning
    2024 48 citations Ruiheng Zhang, Lixin Xu et al. profile →

Peers

Lingyu Si
Yusheng Xu China
Yating Hu China
James Gabriel United States
Yuncong Feng China
Yuanjie Dang China
Ruiping Liu China
Wiebe Van Ranst Belgium
Zhixiong Yang China
Jinlong Shi China
Xiaoxue Feng China
Yusheng Xu China
Lingyu Si
Citations per year, relative to Lingyu Si Lingyu Si (= 1×) peers Yusheng Xu

Countries citing papers authored by Lingyu Si

Since Specialization
Citations

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

Fields of papers citing papers by Lingyu Si

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lingyu Si

This figure shows the co-authorship network connecting the top 25 collaborators of Lingyu Si. A scholar is included among the top collaborators of Lingyu Si 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 Lingyu Si. Lingyu Si 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.
Wang, Jingyao, et al.. (2025). Enhancing generalization with multi-modal relations. Information Fusion. 126. 103585–103585.
2.
3.
Si, Lingyu, et al.. (2024). UIEDP: Boosting underwater image enhancement with diffusion prior. Expert Systems with Applications. 259. 125271–125271. 29 indexed citations
4.
Guo, Huijie, et al.. (2024). Self-Supervised Representation Learning with Meta Comprehensive Regularization. Proceedings of the AAAI Conference on Artificial Intelligence. 38(3). 1959–1967. 3 indexed citations
5.
Gao, Hang, et al.. (2024). Rethinking Causal Relationships Learning in Graph Neural Networks. Proceedings of the AAAI Conference on Artificial Intelligence. 38(11). 12145–12154. 3 indexed citations
6.
Dong, Hongwei, et al.. (2024). Background Debiased SAR Automatic Target Recognition via a Novel Causal Interventional Regularizer. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 16993–17006. 1 indexed citations
7.
Zhang, Ruiheng, et al.. (2024). Cognition-Driven Structural Prior for Instance-Dependent Label Transition Matrix Estimation. IEEE Transactions on Neural Networks and Learning Systems. 36(2). 3730–3743. 46 indexed citations
8.
Si, Lingyu, Hongwei Dong, Wenwen Qiang, et al.. (2023). Regularized Hypothesis-Induced Wasserstein Divergence for unsupervised domain adaptation. Knowledge-Based Systems. 283. 111162–111162. 6 indexed citations
9.
Dong, Hongwei, Lingyu Si, Wenwen Qiang, et al.. (2023). A Novel Causal Inference-Guided Feature Enhancement Framework for PolSAR Image Classification. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–16. 4 indexed citations
10.
Si, Lingyu, Hongwei Dong, Wenwen Qiang, et al.. (2023). A Trusted Generative-Discriminative Joint Feature Learning Framework for Remote Sensing Image Classification. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–14. 2 indexed citations
11.
Qiang, Wenwen, et al.. (2023). Disentangle and Remerge: Interventional Knowledge Distillation for Few-Shot Object Detection from a Conditional Causal Perspective. Proceedings of the AAAI Conference on Artificial Intelligence. 37(1). 1323–1333. 19 indexed citations
12.
Gao, Hang, Wenwen Qiang, Lingyu Si, et al.. (2023). Robust Causal Graph Representation Learning against Confounding Effects. Proceedings of the AAAI Conference on Artificial Intelligence. 37(6). 7624–7632. 8 indexed citations
13.
Dong, Hongwei, et al.. (2023). A Polarimetric Scattering Characteristics-Guided Adversarial Learning Approach for Unsupervised PolSAR Image Classification. Remote Sensing. 15(7). 1782–1782. 8 indexed citations
14.
Si, Lingyu, et al.. (2023). Timestamp-Supervised Action Segmentation from the Perspective of Clustering. 690–698. 2 indexed citations
15.
Si, Lingyu, Gang Li, Changwen Zheng, & Fanjiang Xu. (2022). Self-supervised Representation Learning for the Object Detection of Marine Radar. 29. 751–760. 4 indexed citations
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18.
Li, Gang, et al.. (2021). Self-supervised Visual Representation Learning for Fine-Grained Ship Detection. 67–71. 1 indexed citations
19.
Liu, Hao, Siyi Guo, Minghua Lu, et al.. (2019). Biosynthesis of DHGA12 and its roles in Arabidopsis seedling establishment. Nature Communications. 10(1). 1768–1768. 51 indexed citations
20.
Zheng, Changwen, et al.. (2018). Using Images Rendered by PBRT to Train Faster R-CNN for UAV Detection. Digital Library (University of West Bohemia). 28 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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