Siyang Zhou

625 total citations
14 papers, 414 citations indexed

About

Siyang Zhou is a scholar working on Artificial Intelligence, Aerospace Engineering and Molecular Biology. According to data from OpenAlex, Siyang Zhou has authored 14 papers receiving a total of 414 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 4 papers in Aerospace Engineering and 3 papers in Molecular Biology. Recurrent topics in Siyang Zhou's work include Wireless Signal Modulation Classification (6 papers), Anomaly Detection Techniques and Applications (3 papers) and Radar Systems and Signal Processing (3 papers). Siyang Zhou is often cited by papers focused on Wireless Signal Modulation Classification (6 papers), Anomaly Detection Techniques and Applications (3 papers) and Radar Systems and Signal Processing (3 papers). Siyang Zhou collaborates with scholars based in China, Australia and United Kingdom. Siyang Zhou's co-authors include Zhilu Wu, Zhendong Yin, Ajay Gupta, Hongyu Yang, Ashish Tiwari, R. Sekar, Zhutian Yang, Nan Zhao, Rui Zhang and Yunfei Chen and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Access and IEEE Transactions on Industrial Informatics.

In The Last Decade

Siyang Zhou

10 papers receiving 379 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Siyang Zhou China 6 296 221 124 66 65 14 414
Rafael A. Rodríguez‐Gómez Spain 10 119 0.4× 189 0.9× 101 0.8× 28 0.4× 24 0.4× 21 321
Onur Özdemir United States 11 334 1.1× 307 1.4× 50 0.4× 95 1.4× 54 0.8× 32 508
Jeyanthi Hall Canada 6 310 1.0× 168 0.8× 122 1.0× 68 1.0× 10 0.2× 7 456
Shuo Shao China 11 199 0.7× 185 0.8× 27 0.2× 17 0.3× 17 0.3× 46 443
Ubaid U. Fayyaz Pakistan 10 304 1.0× 590 2.7× 240 1.9× 11 0.2× 55 0.8× 25 693
Bryan Nousain United States 5 515 1.7× 63 0.3× 155 1.3× 156 2.4× 19 0.3× 8 596
Peiwen Jiang China 7 197 0.7× 101 0.5× 32 0.3× 34 0.5× 17 0.3× 16 427
Donghua Wang China 8 179 0.6× 57 0.3× 44 0.4× 19 0.3× 20 0.3× 25 245
C. Ravishankar United States 8 123 0.4× 90 0.4× 57 0.5× 97 1.5× 12 0.2× 33 322

Countries citing papers authored by Siyang Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Siyang Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Siyang Zhou

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

All Works

14 of 14 papers shown
1.
Zhou, Siyang, et al.. (2025). SPRMamba: A Mamba-Based Saliency Proportion Reconciliatory Network With Squeezed Windows for Remote Sensing Change Detection. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–16.
2.
Zhou, Siyang, et al.. (2025). Semantic knowledge transfer for semi-supervised medical image segmentation. Engineering Applications of Artificial Intelligence. 158. 111235–111235.
3.
Zhou, Siyang, et al.. (2025). LLaVA-based semantic feature modulation diffusion model for underwater image enhancement. Information Fusion. 126. 103566–103566. 5 indexed citations
4.
Cao, Jiuxin, et al.. (2025). tGARD: Text-Guided Adversarial Reconstruction for Industrial Anomaly Detection. IEEE Transactions on Industrial Informatics. 21(12). 9297–9308.
6.
Zhang, Rui, Zhendong Yin, Zhilu Wu, & Siyang Zhou. (2021). A Novel Automatic Modulation Classification Method Using Attention Mechanism and Hybrid Parallel Neural Network. Applied Sciences. 11(3). 1327–1327. 24 indexed citations
7.
Yang, Zhutian, et al.. (2020). Co-channel Modulation Recognition Based on Deep Learning. 563–568. 1 indexed citations
8.
Zhou, Siyang, Zhilu Wu, Zhendong Yin, Rui Zhang, & Zhutian Yang. (2019). Blind Modulation Classification for Overlapped Co-Channel Signals Using Capsule Networks. IEEE Communications Letters. 23(10). 1849–1852. 20 indexed citations
9.
Zhou, Siyang, Zhendong Yin, Zhilu Wu, et al.. (2019). A robust modulation classification method using convolutional neural networks. EURASIP Journal on Advances in Signal Processing. 2019(1). 58 indexed citations
11.
Zhou, Siyang, Zhilu Wu, Zhendong Yin, & Zhutian Yang. (2018). Noise-Robust Feature Combination Method for Modulation Classification Under Fading Channels. 1–5. 5 indexed citations
12.
Wu, Zhilu, et al.. (2017). Robust Automatic Modulation Classification Under Varying Noise Conditions. IEEE Access. 5. 19733–19741. 77 indexed citations
14.
Sekar, R., et al.. (2002). Specification-based anomaly detection. 265–274. 221 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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