Xiang‐Jun Shen

1.6k total citations · 1 hit paper
73 papers, 1.2k citations indexed

About

Xiang‐Jun Shen is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Xiang‐Jun Shen has authored 73 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Computer Vision and Pattern Recognition, 28 papers in Artificial Intelligence and 17 papers in Media Technology. Recurrent topics in Xiang‐Jun Shen's work include Face and Expression Recognition (41 papers), Sparse and Compressive Sensing Techniques (12 papers) and Remote-Sensing Image Classification (12 papers). Xiang‐Jun Shen is often cited by papers focused on Face and Expression Recognition (41 papers), Sparse and Compressive Sensing Techniques (12 papers) and Remote-Sensing Image Classification (12 papers). Xiang‐Jun Shen collaborates with scholars based in China, Ghana and Nigeria. Xiang‐Jun Shen's co-authors include Yongzhao Zhan, Jianping Gou, Lan Du, Jinfu Chen, Min Wan, Qirong Mao, Zheng-Jun Zha, Yi Zhang, Yunbo Rao and Weihua Ou and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Geoscience and Remote Sensing and Expert Systems with Applications.

In The Last Decade

Xiang‐Jun Shen

62 papers receiving 1.2k citations

Hit Papers

Maximum Neighborhood Margin Discriminant Projection for C... 2014 2026 2018 2022 2014 200 400 600
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. Maximum Neighborhood Margin Discriminant Projection for Classification
    2014 615 citations Jianping Gou, Yongzhao Zhan et al. The Scientific World JOURNAL profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiang‐Jun Shen China 14 369 288 108 97 84 73 1.2k
Liang Sun China 21 468 1.3× 551 1.9× 77 0.7× 78 0.8× 121 1.4× 123 1.6k
Shu Zhang China 18 594 1.6× 309 1.1× 64 0.6× 168 1.7× 86 1.0× 115 1.5k
Farid García‐Lamont Mexico 11 358 1.0× 546 1.9× 113 1.0× 120 1.2× 164 2.0× 38 1.9k
Dongmei Fu China 25 406 1.1× 302 1.0× 189 1.8× 69 0.7× 177 2.1× 150 2.0k
Chen Yang China 20 460 1.2× 294 1.0× 147 1.4× 231 2.4× 119 1.4× 86 1.5k
Ashwani Kumar Aggarwal India 20 290 0.8× 251 0.9× 40 0.4× 102 1.1× 73 0.9× 47 1.2k
Lan Du Australia 23 394 1.1× 1.0k 3.5× 125 1.2× 79 0.8× 136 1.6× 88 2.3k
Wenjian Wang China 21 460 1.2× 793 2.8× 68 0.6× 93 1.0× 140 1.7× 108 2.2k

Countries citing papers authored by Xiang‐Jun Shen

Since Specialization
Citations

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

Fields of papers citing papers by Xiang‐Jun Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xiang‐Jun Shen. 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 Xiang‐Jun Shen. The network helps show where Xiang‐Jun Shen may publish in the future.

Co-authorship network of co-authors of Xiang‐Jun Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Xiang‐Jun Shen. A scholar is included among the top collaborators of Xiang‐Jun Shen 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 Xiang‐Jun Shen. Xiang‐Jun Shen 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.
Shen, Xiang‐Jun, et al.. (2025). SVE-Former: A fast fourier transformer via singular vector embedding. Neural Networks. 196. 108331–108331.
2.
Shen, Xiang‐Jun, et al.. (2025). Robust feature enhanced deep kernel support vector machine via low rank representation and clustering. Expert Systems with Applications. 271. 126612–126612.
3.
Kong, Wentao, Eliasu Issaka, Xian Wang, et al.. (2025). A comparative analysis of three graph neural network models for predicting axillary lymph node metastasis in early-stage breast cancer. Scientific Reports. 15(1). 13918–13918.
4.
Zhao, Zhen, et al.. (2025). Deep cross entropy fusion for pulmonary nodule classification based on ultrasound Imagery. Frontiers in Oncology. 15. 1514779–1514779.
5.
Zhang, Yuzhi, et al.. (2025). Ultrasound-based classification of follicular thyroid Cancer using deep convolutional neural networks with transfer learning. Scientific Reports. 15(1). 21708–21708. 1 indexed citations
6.
Wang, Yuguo, et al.. (2025). Predicting the efficacy of microwave ablation of benign thyroid nodules from ultrasound images using deep convolutional neural networks. BMC Medical Informatics and Decision Making. 25(1). 161–161. 1 indexed citations
7.
Zhou, Yiming, et al.. (2024). Robust Ranking Kernel Support Vector Machine via Manifold Regularized Matrix Factorization for Multi-Label Classification. Applied Sciences. 14(2). 638–638. 1 indexed citations
8.
Arthur, John M., et al.. (2024). Temporal dual-target cross-domain recommendation framework for next basket recommendation. Discover Computing. 27(1). 1 indexed citations
9.
Zhu, Qian, et al.. (2023). Multi-view Representation Induced Kernel Ensemble Support Vector Machine. Neural Processing Letters. 55(6). 7035–7056. 1 indexed citations
10.
Shen, Xiang‐Jun, et al.. (2023). Robust multiview spectral clustering via cooperative manifold and low rank representation induced. Multimedia Tools and Applications. 82(16). 24445–24464.
11.
Shen, Xiang‐Jun, et al.. (2023). Robust Label and Feature Space Co-Learning for Multi-Label Classification. IEEE Transactions on Knowledge and Data Engineering. 35(11). 11846–11859. 12 indexed citations
12.
Shen, Xiang‐Jun, et al.. (2023). Edge Preserved Low-Rank SAR Image Despeckling via Hierarchical Prior Knowledge Regulation. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–17. 4 indexed citations
13.
Xu, Zhiyong, Xiang‐Jun Shen, Jing Wang, et al.. (2023). Edge-Preserved Low-Rank Representation via Multi-Level Knowledge Incorporation for Remote Sensing Image Denoising. Remote Sensing. 15(9). 2318–2318. 3 indexed citations
14.
Yang, Yang, et al.. (2022). $L_{1}$-Regularized Reconstruction Model for Edge-Preserving Filtering. IEEE Transactions on Multimedia. 25. 4148–4162. 16 indexed citations
15.
Shen, Xiang‐Jun, et al.. (2022). Robust low-rank representation via residual projection for image classification. Knowledge-Based Systems. 241. 108230–108230. 18 indexed citations
16.
17.
Shen, Xiang‐Jun, et al.. (2019). Laplacian Regularized Kernel Canonical Correlation Ensemble for Remote Sensing Image Classification. IEEE Geoscience and Remote Sensing Letters. 16(7). 1150–1154. 5 indexed citations
18.
Gou, Jianping, Yongzhao Zhan, Min Wan, et al.. (2014). Maximum Neighborhood Margin Discriminant Projection for Classification. The Scientific World JOURNAL. 2014. 1–16. 615 indexed citations breakdown →
19.
Shen, Xiang‐Jun, et al.. (2014). Achieving dynamic load balancing through mobile agents in small world P2P networks. Computer Networks. 75. 134–148. 10 indexed citations
20.
Shen, Xiang‐Jun, et al.. (2013). Distributed SVM Classification with Redundant Data Removing. 866–870. 6 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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