Xianchao Xiu

561 total citations
42 papers, 344 citations indexed

About

Xianchao Xiu is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Computational Mechanics. According to data from OpenAlex, Xianchao Xiu has authored 42 papers receiving a total of 344 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Control and Systems Engineering, 15 papers in Computer Vision and Pattern Recognition and 9 papers in Computational Mechanics. Recurrent topics in Xianchao Xiu's work include Fault Detection and Control Systems (13 papers), Face and Expression Recognition (10 papers) and Sparse and Compressive Sensing Techniques (9 papers). Xianchao Xiu is often cited by papers focused on Fault Detection and Control Systems (13 papers), Face and Expression Recognition (10 papers) and Sparse and Compressive Sensing Techniques (9 papers). Xianchao Xiu collaborates with scholars based in China and Australia. Xianchao Xiu's co-authors include Wanquan Liu, Ying Yang, Fuchao Yu, Yuhan Zhang, He Li, Zhonghua Miao, Lingchen Kong, Jingjing Liu, Ruijie Liu and Shiwei Ma and has published in prestigious journals such as IEEE Transactions on Image Processing, Expert Systems with Applications and IEEE Access.

In The Last Decade

Xianchao Xiu

37 papers receiving 337 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xianchao Xiu China 10 141 84 70 49 43 42 344
Zhe Zhou China 11 261 1.9× 64 0.8× 76 1.1× 121 2.5× 49 1.1× 31 478
Yunwei Zhang China 8 145 1.0× 78 0.9× 31 0.4× 66 1.3× 13 0.3× 19 407
Yunkai Wu China 12 417 3.0× 78 0.9× 60 0.9× 136 2.8× 18 0.4× 35 611
Afshin Rahimi Canada 12 294 2.1× 99 1.2× 71 1.0× 72 1.5× 5 0.1× 60 592
Zenghui Huang China 4 212 1.5× 44 0.5× 13 0.2× 66 1.3× 19 0.4× 9 329
Leizer Schnitman Brazil 11 160 1.1× 59 0.7× 86 1.2× 66 1.3× 10 0.2× 60 425
Xiaoxi Hu China 12 182 1.3× 71 0.8× 46 0.7× 105 2.1× 8 0.2× 47 468
Yul Yunazwin Nazaruddin Indonesia 11 220 1.6× 54 0.6× 57 0.8× 59 1.2× 13 0.3× 120 496
Zhiming Li China 9 115 0.8× 203 2.4× 146 2.1× 61 1.2× 18 0.4× 27 469

Countries citing papers authored by Xianchao Xiu

Since Specialization
Citations

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

Fields of papers citing papers by Xianchao Xiu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xianchao Xiu

This figure shows the co-authorship network connecting the top 25 collaborators of Xianchao Xiu. A scholar is included among the top collaborators of Xianchao Xiu 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 Xianchao Xiu. Xianchao Xiu 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.
Liu, Jingjing, et al.. (2025). Tensor Low-Rank Approximation via Plug-and-Play Priors for Anomaly Detection in Remote Sensing Images. IEEE Transactions on Instrumentation and Measurement. 74. 1–14. 1 indexed citations
2.
Liu, Jingjing, Jiashun Jin, Xianchao Xiu, Wanquan Liu, & Jianhua Zhang. (2025). Exploiting Weighted Multidirectional Sparsity for Prior Enhanced Anomaly Detection in Hyperspectral Images. Remote Sensing. 17(4). 602–602. 2 indexed citations
3.
Xiu, Xianchao, et al.. (2025). Bi-Sparse Unsupervised Feature Selection. IEEE Transactions on Image Processing. 34. 7407–7421.
4.
Chen, Hui, et al.. (2025). Adaptive Multiorder Graph Regularized NMF With Dual Sparsity for Hyperspectral Unmixing. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18. 22121–22136.
5.
Xiu, Xianchao, et al.. (2024). A New End-to-End Monitoring Framework for Nonlinear Dynamic Processes With Unknown Noise Statistics. IEEE Transactions on Instrumentation and Measurement. 73. 1–10. 3 indexed citations
6.
Xiu, Xianchao, et al.. (2024). Joint sparse subspace clustering via fast ℓ 2 , 0 -norm constrained optimization. Expert Systems with Applications. 265. 125845–125845. 2 indexed citations
7.
Liu, Jingjing, et al.. (2024). Efficient and Robust Sparse Linear Discriminant Analysis for Data Classification. IEEE Transactions on Emerging Topics in Computational Intelligence. 9(1). 617–629. 5 indexed citations
8.
Liu, Jingjing, et al.. (2024). Towards robust and sparse linear discriminant analysis for image classification. Pattern Recognition. 153. 110512–110512. 4 indexed citations
9.
Xiu, Xianchao, et al.. (2023). Learning High-Order Multi-View Representation by New Tensor Canonical Correlation Analysis. IEEE Transactions on Circuits and Systems for Video Technology. 33(10). 5645–5654. 8 indexed citations
10.
Liu, Jingjing, et al.. (2023). Moving object detection in gigapixel-level videos using manifold sparse representation. Multimedia Tools and Applications. 83(6). 18381–18405. 2 indexed citations
11.
Xiu, Xianchao, Zhonghua Miao, & Wanquan Liu. (2022). A Sparsity-Aware Fault Diagnosis Framework Focusing on Accurate Isolation. IEEE Transactions on Industrial Informatics. 19(2). 1356–1365. 3 indexed citations
12.
Xiu, Xianchao, et al.. (2022). A Spatiotemporal Calibration Algorithm for IMU–LiDAR Navigation System Based on Similarity of Motion Trajectories. Sensors. 22(19). 7637–7637. 7 indexed citations
13.
Xiu, Xianchao, et al.. (2022). Efficient and Fast Joint Sparse Constrained Canonical Correlation Analysis for Fault Detection. IEEE Transactions on Neural Networks and Learning Systems. 35(3). 4153–4163. 6 indexed citations
14.
Xiu, Xianchao, et al.. (2022). Towards efficient state of charge estimation of lithium-ion batteries using canonical correlation analysis. Energy. 254. 124415–124415. 17 indexed citations
15.
Xiu, Xianchao, et al.. (2022). Toward Efficient Process Monitoring Using Spatiotemporal PCA. IEEE Transactions on Circuits & Systems II Express Briefs. 70(2). 551–555. 3 indexed citations
16.
Xiu, Xianchao, et al.. (2021). An Efficient Newton-Based Method for Sparse Generalized Canonical Correlation Analysis. IEEE Signal Processing Letters. 29. 125–129. 3 indexed citations
17.
Zhang, Yuhan, Ying Yang, He Li, Xianchao Xiu, & Wanquan Liu. (2021). A Data-Driven Modeling Method for Stochastic Nonlinear Degradation Process With Application to RUL Estimation. IEEE Transactions on Systems Man and Cybernetics Systems. 52(6). 3847–3858. 23 indexed citations
18.
Xiu, Xianchao, et al.. (2021). Fault Detection Using Structured Joint Sparse Nonnegative Matrix Factorization. IEEE Transactions on Instrumentation and Measurement. 70. 1–11. 18 indexed citations
19.
Xiu, Xianchao, Zhonghua Miao, Ying Yang, & Wanquan Liu. (2021). Deep Canonical Correlation Analysis Using Sparsity-Constrained Optimization for Nonlinear Process Monitoring. IEEE Transactions on Industrial Informatics. 18(10). 6690–6699. 19 indexed citations
20.
Zhang, Yuhan, Ying Yang, Xianchao Xiu, He Li, & Ruijie Liu. (2020). A Remaining Useful Life Prediction Method in the Early Stage of Stochastic Degradation Process. IEEE Transactions on Circuits & Systems II Express Briefs. 68(6). 2027–2031. 21 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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