Songyang Zhang

525 total citations
33 papers, 300 citations indexed

About

Songyang Zhang is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Materials Chemistry. According to data from OpenAlex, Songyang Zhang has authored 33 papers receiving a total of 300 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Electrical and Electronic Engineering, 9 papers in Artificial Intelligence and 6 papers in Materials Chemistry. Recurrent topics in Songyang Zhang's work include Advanced Graph Neural Networks (4 papers), Speech and Audio Processing (3 papers) and High voltage insulation and dielectric phenomena (3 papers). Songyang Zhang is often cited by papers focused on Advanced Graph Neural Networks (4 papers), Speech and Audio Processing (3 papers) and High voltage insulation and dielectric phenomena (3 papers). Songyang Zhang collaborates with scholars based in United States, China and Sweden. Songyang Zhang's co-authors include Zhi Ding, Shuguang Cui, Qiong Liu, Xuming He, Shipeng Yan, Feng Ouyang, Zehui Liu, Xiaohua Ma, Xiaojie He and Dezhi Chen and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Image Processing and IEEE Communications Magazine.

In The Last Decade

Songyang Zhang

27 papers receiving 298 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Songyang Zhang United States	10	85	66	56	55	47	33	300
Pu Ren United States	8	75 0.9×	24 0.4×	38 0.7×	86 1.6×	36 0.8×	13	393
George Em Karniadakis United States	6	63 0.7×	33 0.5×	21 0.4×	126 2.3×	22 0.5×	14	369
Yiping Lu China	5	101 1.2×	27 0.4×	46 0.8×	93 1.7×	15 0.3×	17	386
Levi D. McClenny United States	6	58 0.7×	34 0.5×	16 0.3×	68 1.2×	39 0.8×	7	342
Panos Stinis United States	12	97 1.1×	92 1.4×	31 0.6×	61 1.1×	14 0.3×	43	400
Dokkyun Yi South Korea	9	64 0.8×	45 0.7×	74 1.3×	35 0.6×	17 0.4×	20	301
J. Nathan Kutz United States	2	71 0.8×	40 0.6×	22 0.4×	59 1.1×	10 0.2×	2	352
Nicholas Geneva United States	7	83 1.0×	56 0.8×	27 0.5×	233 4.2×	17 0.4×	7	469
Zhicheng Wang China	8	47 0.6×	43 0.7×	13 0.2×	75 1.4×	26 0.6×	18	312

Countries citing papers authored by Songyang Zhang

Since Specialization

Citations

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

Fields of papers citing papers by Songyang Zhang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Songyang Zhang

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Wang, Jiabao, et al.. (2025). Privacy-preserved federated clustering with Non-IID data via GANs. The Journal of Supercomputing. 81(4).

Zhang, Songyang, et al.. (2025). TiRE-GAN: Task-Incentivized Generative Learning for Radiomap Estimation. IEEE Wireless Communications Letters. 14(5). 1401–1405.

Li, Jiang, et al.. (2025). PhA-MOE: Enhancing Hyperspectral Retrievals for Phytoplankton Absorption Using Mixture-of-Experts. Remote Sensing. 17(12). 2103–2103. 1 indexed citations

Chen, Jianan, et al.. (2025). Design of regenerated TiNb2O7 with engineered local polarization effect for fast-charging applications prepared by waste SCR catalyst carriers. Journal of Environmental Management. 394. 127625–127625.

Zhang, Songyang, et al.. (2025). Diff-GO+: An Efficient Diffusion Goal-Oriented Communication System With Local Feedback. IEEE Transactions on Wireless Communications. 24(8). 6535–6550.

Zhang, Songyang, et al.. (2025). Ni doping regulates the electronic structure of TiNb2O7 to achieve fast lithium-ion storage. Journal of Materials Science Materials in Electronics. 36(30).

Wang, Xueli, Songyang Zhang, Maolin Tian, et al.. (2024). Directly prepared Al-doped FeMoO4 materials from spent hydrogenation catalysts via a low-temperature green process. Resources Conservation and Recycling. 203. 107419–107419. 8 indexed citations

Zhang, Songyang, et al.. (2024). PS-FedGAN: An Efficient Federated Learning Framework With Strong Data Privacy. IEEE Internet of Things Journal. 11(16). 27584–27596. 5 indexed citations

Zhang, Songyang, et al.. (2024). Radiomap Inpainting for Restricted Areas Based on Propagation Priority and Depth Map. IEEE Transactions on Wireless Communications. 23(8). 9330–9344. 6 indexed citations

10.

Zhang, Songyang, Hang Li, Xiaoyang Li, et al.. (2024). RadioGAT: A Joint Model-Based and Data-Driven Framework for Multi-Band Radiomap Reconstruction via Graph Attention Networks. IEEE Transactions on Wireless Communications. 23(11). 17777–17792. 9 indexed citations

11.

Zhang, Songyang, et al.. (2024). Reinforcement Learning for Robust Header Compression (ROHC) Under Model Uncertainty. SHILAP Revista de lepidopterología. 2. 1033–1044. 1 indexed citations

12.

Wang, Dong, Taiyu Chen, Deying Ma, et al.. (2023). Multispectral characteristic analysis for free metallic particle discharge in SF6 gas conditions. 82–82. 2 indexed citations

13.

Zhang, Songyang, et al.. (2022). Multilayer graph spectral analysis for hyperspectral images. EURASIP Journal on Advances in Signal Processing. 2022(1). 9 indexed citations

14.

Zhang, Songyang, et al.. (2022). An Efficient Hypergraph Approach to Robust Point Cloud Resampling. IEEE Transactions on Image Processing. 31. 1924–1937. 11 indexed citations

15.

Zhang, Songyang, Shuguang Cui, & Zhi Ding. (2020). Hypergraph Spectral Clustering for Point Cloud Segmentation. IEEE Signal Processing Letters. 27. 1655–1659. 19 indexed citations

16.

Zhang, Songyang, Shuguang Cui, & Zhi Ding. (2020). Hypergraph Spectral Analysis and Processing in 3D Point Cloud. IEEE Transactions on Image Processing. 30. 1193–1206. 35 indexed citations

17.

Zhang, Songyang, Shuguang Cui, & Zhi Ding. (2020). Hypergraph-Based Image Processing. 216–220. 6 indexed citations

18.

Zhang, Songyang, Shipeng Yan, & Xuming He. (2019). LatentGNN: Learning Efficient Non-local Relations for Visual Recognition. International Conference on Machine Learning. 7374–7383. 12 indexed citations

19.

Gao, Bing, et al.. (2017). The Movement Characteristics of Charged Haze Particles in Ionized Field and Its Influence on Contamination of Insulator. IEEE Transactions on Magnetics. 54(3). 1–4. 11 indexed citations

20.

Liu, Qiong, et al.. (2013). A dynamic adaptive radial basis function approach for total organic carbon content prediction in organic shale. Geophysics. 78(6). D445–D459. 46 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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