Xiu Shu

615 total citations
26 papers, 424 citations indexed

About

Xiu Shu is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Artificial Intelligence. According to data from OpenAlex, Xiu Shu has authored 26 papers receiving a total of 424 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computer Vision and Pattern Recognition, 10 papers in Aerospace Engineering and 4 papers in Artificial Intelligence. Recurrent topics in Xiu Shu's work include Video Surveillance and Tracking Methods (12 papers), Medical Image Segmentation Techniques (9 papers) and Infrared Target Detection Methodologies (7 papers). Xiu Shu is often cited by papers focused on Video Surveillance and Tracking Methods (12 papers), Medical Image Segmentation Techniques (9 papers) and Infrared Target Detection Methodologies (7 papers). Xiu Shu collaborates with scholars based in China, Australia and Singapore. Xiu Shu's co-authors include Di Yuan, Zhenyu He, Qiao Liu, Yunyun Yang, Boying Wu, Xiaojun Chang, Xinming Zhang, Guangming Shi, Wenjing Jia and Jun Liu and has published in prestigious journals such as Sensors, Pattern Recognition and Neurocomputing.

In The Last Decade

Xiu Shu

26 papers receiving 422 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xiu Shu China	13	338	132	79	59	52	26	424
Yutao Cui China	6	513 1.5×	150 1.1×	110 1.4×	68 1.2×	44 0.8×	11	660
Zehua Fu China	5	441 1.3×	97 0.7×	137 1.7×	69 1.2×	13 0.3×	12	513
Abel González-García Spain	5	478 1.4×	95 0.7×	139 1.8×	72 1.2×	18 0.3×	8	552
Shoudong Han China	9	428 1.3×	79 0.6×	69 0.9×	62 1.1×	19 0.4×	24	491
Jing Nie China	11	331 1.0×	79 0.6×	69 0.9×	17 0.3×	22 0.4×	35	413
A. Aydın Alatan Türkiye	15	728 2.2×	109 0.8×	40 0.5×	48 0.8×	14 0.3×	71	766
Xuefeng Zhu China	11	230 0.7×	74 0.6×	98 1.2×	41 0.7×	6 0.1×	38	401
Xiaohuan Lu China	7	262 0.8×	112 0.8×	63 0.8×	39 0.7×	13 0.3×	23	327
Tianyu Yang China	9	430 1.3×	48 0.4×	189 2.4×	50 0.8×	15 0.3×	19	506

Countries citing papers authored by Xiu Shu

Since Specialization

Citations

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

Fields of papers citing papers by Xiu Shu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiu Shu

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

All Works

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20 of 20 papers shown

Yuan, Di, et al.. (2025). Adaptive Trajectory Correction for Underwater Object Tracking. IEEE Transactions on Circuits and Systems for Video Technology. 35(8). 8187–8196. 3 indexed citations

Huang, Feng, et al.. (2025). Uncertainty and diversity-based active learning for UAV tracking. Neurocomputing. 639. 130265–130265. 2 indexed citations

Shu, Xiu, Zhihui Li, Qiao Liu, et al.. (2025). Fine-Grained Feature and Template Reconstruction for TIR Object Tracking. IEEE Transactions on Circuits and Systems for Video Technology. 35(9). 9276–9286. 2 indexed citations

Yuan, Di, Xiu Shu, Zhihui Li, et al.. (2024). A Comprehensive Review of RGBT Tracking. IEEE Transactions on Instrumentation and Measurement. 73. 1–23. 12 indexed citations

Yuan, Di, et al.. (2024). Hierarchical Attention Siamese Network for Thermal Infrared Target Tracking. IEEE Transactions on Instrumentation and Measurement. 73. 1–11. 18 indexed citations

Shu, Xiu, et al.. (2024). Energy-Saving Multi-Agent Deep Reinforcement Learning Algorithm for Drone Routing Problem. Sensors. 24(20). 6698–6698. 1 indexed citations

Yuan, Di, Xiu Shu, Qiao Liu, et al.. (2023). Thermal Infrared Target Tracking: A Comprehensive Review. IEEE Transactions on Instrumentation and Measurement. 73. 1–19. 33 indexed citations

Shu, Xiu & Di Yuan. (2023). Local Variance-driven Level Set Model with Application to Segment Medical Images. 435–440. 3 indexed citations

Yuan, Di, Xiu Shu, Qiao Liu, et al.. (2023). Self-supervised discriminative model prediction for visual tracking. Neural Computing and Applications. 36(10). 5153–5164. 4 indexed citations

10.

Yuan, Di, Haiping Zhang, Xiu Shu, et al.. (2023). An Attention Mechanism Based AVOD Network for 3D Vehicle Detection. IEEE Transactions on Intelligent Vehicles. 1–13. 6 indexed citations

11.

Yuan, Di, Xiu Shu, & Qiao Liu. (2022). Recent Advances on Thermal Infrared Target Tracking: A Survey. 1–6. 2 indexed citations

12.

Yuan, Di, Xiu Shu, Qiao Liu, Xinming Zhang, & Zhenyu He. (2022). Robust thermal infrared tracking via an adaptively multi-feature fusion model. Neural Computing and Applications. 35(4). 3423–3434. 41 indexed citations

13.

Shu, Xiu, Yunyun Yang, Jun Liu, Xiaojun Chang, & Boying Wu. (2022). ALVLS: Adaptive local variances-Based levelset framework for medical images segmentation. Pattern Recognition. 136. 109257–109257. 31 indexed citations

14.

Yuan, Di, Xiu Shu, Nana Fan, et al.. (2022). Accurate bounding-box regression with distance-IoU loss for visual tracking. Journal of Visual Communication and Image Representation. 83. 103428–103428. 25 indexed citations

15.

Yang, Yunyun, et al.. (2021). Level set framework with transcendental constraint for robust and fast image segmentation. Pattern Recognition. 117. 107985–107985. 14 indexed citations

16.

Shu, Xiu, Yunyun Yang, & Boying Wu. (2021). A neighbor level set framework minimized with the split Bregman method for medical image segmentation. Signal Processing. 189. 108293–108293. 25 indexed citations

17.

Shu, Xiu, Yunyun Yang, & Boying Wu. (2021). Adaptive segmentation model for liver CT images based on neural network and level set method. Neurocomputing. 453. 438–452. 38 indexed citations

18.

Shu, Xiu, et al.. (2020). Adaptive weight part-based convolutional network for person re-identification. Multimedia Tools and Applications. 79(31-32). 23617–23632. 14 indexed citations

19.

Yang, Yunyun, et al.. (2018). Split Bregman method based level set formulations for segmentation and correction with application to MR images and color images. Magnetic Resonance Imaging. 57. 50–67. 10 indexed citations

20.

Yang, Yunyun, Xiu Shu, & Sheng-hua Zhong. (2017). Active contour model combining local and global information dynamically with application to segment brain MR images. 45–49. 1 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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