Xiaotong Tu

1.9k total citations · 1 hit paper
66 papers, 1.4k citations indexed

About

Xiaotong Tu is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Civil and Structural Engineering. According to data from OpenAlex, Xiaotong Tu has authored 66 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Control and Systems Engineering, 17 papers in Computer Vision and Pattern Recognition and 15 papers in Civil and Structural Engineering. Recurrent topics in Xiaotong Tu's work include Machine Fault Diagnosis Techniques (26 papers), Structural Health Monitoring Techniques (15 papers) and Fault Detection and Control Systems (13 papers). Xiaotong Tu is often cited by papers focused on Machine Fault Diagnosis Techniques (26 papers), Structural Health Monitoring Techniques (15 papers) and Fault Detection and Control Systems (13 papers). Xiaotong Tu collaborates with scholars based in China, Sweden and Pakistan. Xiaotong Tu's co-authors include Yue Hu, Fucai Li, Wenjie Bao, Guang Meng, Hongguang Li, Saqlain Abbas, Xinghao Ding, Yue Huang, Zhao Zhang and Changming Cheng and has published in prestigious journals such as The Science of The Total Environment, IEEE Transactions on Industrial Electronics and The Journal of the Acoustical Society of America.

In The Last Decade

Xiaotong Tu

56 papers receiving 1.4k citations

Hit Papers

Learning a Simple Low-Light Image Enhancer from Paired Lo... 2023 2026 2024 2025 2023 50 100 150
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. Learning a Simple Low-Light Image Enhancer from Paired Low-Light Instances
    2023 152 citations Zhenqi Fu, Xiaotong Tu et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaotong Tu China 19 754 523 294 281 281 66 1.4k
Dechen Yao China 18 548 0.7× 457 0.9× 148 0.5× 99 0.4× 207 0.7× 82 1.2k
Wenhua Du China 19 1.2k 1.6× 851 1.6× 202 0.7× 107 0.4× 369 1.3× 44 1.6k
Fajie Duan China 20 134 0.2× 359 0.7× 446 1.5× 364 1.3× 114 0.4× 144 1.7k
Qing Li China 22 634 0.8× 452 0.9× 149 0.5× 54 0.2× 219 0.8× 105 1.1k
Levent Eren Türkiye 14 1.8k 2.5× 1.1k 2.2× 284 1.0× 98 0.3× 591 2.1× 36 2.5k
Gongliu Yang China 18 313 0.4× 212 0.4× 172 0.6× 139 0.5× 80 0.3× 136 1.5k
Jiangtao Wen China 16 501 0.7× 410 0.8× 264 0.9× 343 1.2× 223 0.8× 35 1.3k
Binqiang Chen China 21 1000 1.3× 768 1.5× 375 1.3× 200 0.7× 361 1.3× 55 1.6k
Gang Yu China 17 1.3k 1.8× 586 1.1× 546 1.9× 285 1.0× 382 1.4× 54 1.7k
Gang Tang China 24 877 1.2× 572 1.1× 133 0.5× 169 0.6× 310 1.1× 72 1.4k

Countries citing papers authored by Xiaotong Tu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaotong Tu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaotong Tu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaotong Tu. A scholar is included among the top collaborators of Xiaotong Tu 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 Xiaotong Tu. Xiaotong Tu 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
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Xie, Jiaxin, et al.. (2025). CE$^{3}$USOD: Channel-Enhanced, Efficient, and Effective Network for Underwater Salient Object Detection. IEEE Journal of Oceanic Engineering. 50(2). 941–954. 1 indexed citations
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Wang, Yingying, et al.. (2025). SOMA: A semantic-guided Order-aware Mamba Architecture for multivariate time series forecasting. Advanced Engineering Informatics. 68. 103788–103788.
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Xie, Jiaxin, Yingying Wang, Jialing Huang, et al.. (2025). Spatial-frequency dual-domain Kolmogorov–Arnold networks for multimodal medical image fusion. Neurocomputing. 648. 130661–130661.
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Duan, Yuanfeng, Yingying Wang, Jialing Huang, et al.. (2025). Shuffle-reshuffle Gradient Mamba for multimodal medical image fusion. Neurocomputing. 654. 131316–131316.
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Tu, Xiaotong, et al.. (2024). Learning an interpretable end-to-end network for real-time acoustic beamforming. Journal of Sound and Vibration. 591. 118620–118620. 3 indexed citations
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Chen, Xiaolu, et al.. (2024). Leveraging Foreground Collaboration and Augmentation for Industrial Anomaly Detection. IEEE Sensors Journal. 24(19). 30706–30714.
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Zhang, Yonghua, Xiaotong Tu, Saqlain Abbas, et al.. (2023). Learning to sound imaging by a model-based interpretable network. Signal Processing. 215. 109281–109281. 5 indexed citations
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Ding, Xinghao, et al.. (2023). Self-Supervised Image Denoising Using Implicit Deep Denoiser Prior. Proceedings of the AAAI Conference on Artificial Intelligence. 37(2). 1586–1594.
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Liu, Yiyang, Chenxin Li, Xiaotong Tu, Xinghao Ding, & Yue Huang. (2023). Hint-Dynamic Knowledge Distillation. 2. 1–5. 1 indexed citations
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Mao, Yijin, et al.. (2023). Adaptive nonlinear group delay mode estimation. Signal Processing. 212. 109181–109181. 1 indexed citations
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Lin, Wei, et al.. (2022). Unsupervised Video-Based Action Recognition With Imagining Motion and Perceiving Appearance. IEEE Transactions on Circuits and Systems for Video Technology. 33(5). 2245–2258. 6 indexed citations
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Tu, Xiaotong, et al.. (2022). Two-Level Consistency Metric for Infrared and Visible Image Fusion. IEEE Transactions on Instrumentation and Measurement. 71. 1–13. 7 indexed citations
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Liao, Yinghao, et al.. (2022). Column-Based Waterline Detection for Lightweight Ship Draft Reading. IEEE Transactions on Instrumentation and Measurement. 71. 1–10. 3 indexed citations
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Huang, Yue, et al.. (2022). A Two-Stage Contrastive Learning Framework For Imbalanced Aerial Scene Recognition. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 25. 3518–3522. 1 indexed citations
20.
Hu, Yue, Xiaotong Tu, Fucai Li, Yanping Zhu, & Jing Lu. (2021). Adaptive instantaneous frequency ridge extraction based on target tracking for frequency-modulated signals. ISA Transactions. 128(Pt A). 665–674. 7 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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