Yongshan Zhang

1.2k total citations
49 papers, 919 citations indexed

About

Yongshan Zhang is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Yongshan Zhang has authored 49 papers receiving a total of 919 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Media Technology, 21 papers in Computer Vision and Pattern Recognition and 20 papers in Artificial Intelligence. Recurrent topics in Yongshan Zhang's work include Remote-Sensing Image Classification (26 papers), Remote Sensing and Land Use (12 papers) and Face and Expression Recognition (11 papers). Yongshan Zhang is often cited by papers focused on Remote-Sensing Image Classification (26 papers), Remote Sensing and Land Use (12 papers) and Face and Expression Recognition (11 papers). Yongshan Zhang collaborates with scholars based in China, Macao and Australia. Yongshan Zhang's co-authors include Zhihua Cai, Jia Wu, Xinwei Jiang, Philip S. Yu, Yicong Zhou, Xiaobo Liu, Bo Du, Yaoming Cai, Junjun Jiang and Xinxin Wang and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Image Processing and Pattern Recognition.

In The Last Decade

Yongshan Zhang

46 papers receiving 902 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yongshan Zhang China 18 417 377 359 165 61 49 919
Yanwen Chong China 18 230 0.6× 338 0.9× 473 1.3× 94 0.6× 28 0.5× 54 906
Basel Solaiman France 17 276 0.7× 294 0.8× 420 1.2× 142 0.9× 21 0.3× 136 1.0k
Taiping Zhang China 17 286 0.7× 550 1.5× 818 2.3× 169 1.0× 41 0.7× 68 1.3k
Zengmao Wang China 15 490 1.2× 357 0.9× 405 1.1× 140 0.8× 28 0.5× 46 1.1k
Xiaofeng Zhao China 11 246 0.6× 732 1.9× 408 1.1× 310 1.9× 25 0.4× 19 1.1k
Shiming Xiang China 7 261 0.6× 363 1.0× 668 1.9× 101 0.6× 32 0.5× 14 1.0k
Weiling Cai China 12 336 0.8× 400 1.1× 780 2.2× 57 0.3× 27 0.4× 24 1.1k
Saroj K. Meher India 19 365 0.9× 254 0.7× 302 0.8× 91 0.6× 178 2.9× 66 1.0k
Liu Fu-xian China 14 145 0.3× 347 0.9× 347 1.0× 171 1.0× 48 0.8× 44 698

Countries citing papers authored by Yongshan Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Yongshan Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yongshan Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Yongshan Zhang. A scholar is included among the top collaborators of Yongshan 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 Yongshan Zhang. Yongshan Zhang 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.
Zhang, Yongshan, et al.. (2025). Elastic Graph Fusion Subspace Clustering for Large Hyperspectral Image. IEEE Transactions on Circuits and Systems for Video Technology. 35(7). 6300–6312. 4 indexed citations
2.
Zhang, Yongshan, et al.. (2025). Bidirectional Probabilistic Multi-Graph Learning and Decomposition for Multi-View Clustering. IEEE Transactions on Image Processing. 34. 3609–3621. 2 indexed citations
3.
Zhang, Yongshan, et al.. (2025). Incomplete Multiview Clustering Using Discriminative Feature Recovery and Tensorized Matrix Factorization. IEEE Transactions on Circuits and Systems for Video Technology. 35(11). 10716–10727. 1 indexed citations
4.
Zhang, Yongshan, et al.. (2025). Pseudo-Supervision Affinity Propagation for Efficient and Scalable Multiview Clustering. IEEE Transactions on Neural Networks and Learning Systems. 36(8). 15282–15293. 2 indexed citations
5.
Zhang, Yongshan, et al.. (2025). Lossless Compression Framework Using Lossy Prior for High-Resolution Remote Sensing Images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18. 8590–8601. 1 indexed citations
6.
Zhang, Yongshan, et al.. (2024). Bipartite Graph-Based Projected Clustering With Local Region Guidance for Hyperspectral Imagery. IEEE Transactions on Multimedia. 26. 9551–9563. 28 indexed citations
7.
Zhang, Yongshan, et al.. (2024). Stacked Graph Fusion Denoising Autoencoder for Hyperspectral Anomaly Detection. IEEE Geoscience and Remote Sensing Letters. 21. 1–5.
8.
Zhang, Yongshan, et al.. (2024). Dual Graph Learning Affinity Propagation for Multimodal Remote Sensing Image Clustering. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–13. 15 indexed citations
9.
Zhang, Yongshan, et al.. (2024). Structured Anchor Learning for Large-Scale Hyperspectral Image Projected Clustering. IEEE Transactions on Circuits and Systems for Video Technology. 35(3). 2328–2340. 4 indexed citations
10.
Zhang, Yongshan, et al.. (2024). Fast Projected Fuzzy Clustering With Anchor Guidance for Multimodal Remote Sensing Imagery. IEEE Transactions on Image Processing. 33. 4640–4653. 31 indexed citations
11.
Lu, Pengyu, Xinwei Jiang, Yongshan Zhang, et al.. (2023). Spectral–Spatial and Superpixelwise Unsupervised Linear Discriminant Analysis for Feature Extraction and Classification of Hyperspectral Images. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–15. 22 indexed citations
12.
Zhang, Jie, et al.. (2023). Structured-Anchor Projected Clustering for Hyperspectral Images. 1–5. 4 indexed citations
13.
Zhang, Yongshan, et al.. (2023). Low-Rank Constrained Memory Autoencoder for Hyperspectral Anomaly Detection. 1–5. 4 indexed citations
14.
Zhang, Yongshan, Xinxin Wang, Xinwei Jiang, & Yicong Zhou. (2022). Robust Dual Graph Self-Representation for Unsupervised Hyperspectral Band Selection. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–13. 26 indexed citations
15.
Zhang, Yongshan, Yan Wang, Xiaohong Chen, Xinwei Jiang, & Yicong Zhou. (2022). Spectral–Spatial Feature Extraction With Dual Graph Autoencoder for Hyperspectral Image Clustering. IEEE Transactions on Circuits and Systems for Video Technology. 32(12). 8500–8511. 65 indexed citations
16.
Jiang, Xinwei, et al.. (2021). Spectral–Spatial and Superpixelwise PCA for Unsupervised Feature Extraction of Hyperspectral Imagery. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–10. 72 indexed citations
17.
Zhang, Yongshan, et al.. (2019). Multi-View Fusion with Extreme Learning Machine for Clustering. ACM Transactions on Intelligent Systems and Technology. 10(5). 1–23. 52 indexed citations
18.
Jiang, Xinwei, et al.. (2018). Laplacian Regularized Spatial-Aware Collaborative Graph for Discriminant Analysis of Hyperspectral Imagery. Remote Sensing. 11(1). 29–29. 20 indexed citations
19.
Zhang, Yongshan, et al.. (2017). Instance cloned extreme learning machine. Pattern Recognition. 68. 52–65. 45 indexed citations
20.
Zhang, Yongshan, Jia Wu, Zhihua Cai, Peng Zhang, & Ling Chen. (2016). Memetic Extreme Learning Machine. Pattern Recognition. 58. 135–148. 53 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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