Chuang Sun

9.4k total citations · 14 hit papers
127 papers, 7.2k citations indexed

About

Chuang Sun is a scholar working on Control and Systems Engineering, Mechanical Engineering and Artificial Intelligence. According to data from OpenAlex, Chuang Sun has authored 127 papers receiving a total of 7.2k indexed citations (citations by other indexed papers that have themselves been cited), including 86 papers in Control and Systems Engineering, 43 papers in Mechanical Engineering and 28 papers in Artificial Intelligence. Recurrent topics in Chuang Sun's work include Machine Fault Diagnosis Techniques (76 papers), Fault Detection and Control Systems (39 papers) and Gear and Bearing Dynamics Analysis (23 papers). Chuang Sun is often cited by papers focused on Machine Fault Diagnosis Techniques (76 papers), Fault Detection and Control Systems (39 papers) and Gear and Bearing Dynamics Analysis (23 papers). Chuang Sun collaborates with scholars based in China, United States and Switzerland. Chuang Sun's co-authors include Xuefeng Chen, Ruqiang Yan, Zhibin Zhao, Tianfu Li, Meng Ma, Jingyao Wu, Shibin Wang, Zheng Zhou, Robert X. Gao and Sinan Li and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, Expert Systems with Applications and Sensors.

In The Last Decade

Chuang Sun

120 papers receiving 7.1k citations

Hit Papers

Deep learning algorithms for rotating machinery inte... 2016 2026 2019 2022 2020 2018 2021 2021 2021 100 200 300 400
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. Deep learning algorithms for rotating machinery intelligent diagnosis: An open source benchmark study
    2020 457 citations Zhibin Zhao, Tianfu Li et al. profile →
  2. Deep Transfer Learning Based on Sparse Autoencoder for Remaining Useful Life Prediction of Tool in Manufacturing
    2018 422 citations Chuang Sun, Zhibin Zhao et al. IEEE Transactions on Industrial Informatics profile →
  3. The emerging graph neural networks for intelligent fault diagnostics and prognostics: A guideline and a benchmark study
    2021 405 citations Tianfu Li, Zheng Zhou et al. Mechanical Systems and Signal Processing profile →
  4. Applications of Unsupervised Deep Transfer Learning to Intelligent Fault Diagnosis: A Survey and Comparative Study
    2021 402 citations Zhibin Zhao, Qiyang Zhang et al. IEEE Transactions on Instrumentation and Measurement profile →
  5. WaveletKernelNet: An Interpretable Deep Neural Network for Industrial Intelligent Diagnosis
    2021 374 citations Tianfu Li, Zhibin Zhao et al. profile →
  6. Dislocated Time Series Convolutional Neural Architecture: An Intelligent Fault Diagnosis Approach for Electric Machine
    2016 288 citations Chuang Sun, Xuefeng Chen et al. IEEE Transactions on Industrial Informatics profile →
  7. Multireceptive Field Graph Convolutional Networks for Machine Fault Diagnosis
    2020 287 citations Tianfu Li, Zhibin Zhao et al. IEEE Transactions on Industrial Electronics profile →
  8. Few-shot transfer learning for intelligent fault diagnosis of machine
    2020 236 citations Jingyao Wu, Zhibin Zhao et al. profile →
  9. Domain Adversarial Graph Convolutional Network for Fault Diagnosis Under Variable Working Conditions
    2021 233 citations Tianfu Li, Zhibin Zhao et al. IEEE Transactions on Instrumentation and Measurement profile →
  10. Joint Learning of Degradation Assessment and RUL Prediction for Aeroengines via Dual-Task Deep LSTM Networks
    2019 230 citations Huihui Miao, Chuang Sun et al. IEEE Transactions on Industrial Informatics profile →
  11. Knowledge Transfer for Rotary Machine Fault Diagnosis
    2019 204 citations Ruqiang Yan, Fei Shen et al. profile →
  12. Hierarchical attention graph convolutional network to fuse multi-sensor signals for remaining useful life prediction
    2021 172 citations Tianfu Li, Zhibin Zhao et al. Reliability Engineering & System Safety profile →
  13. Variational Attention-Based Interpretable Transformer Network for Rotary Machine Fault Diagnosis
    2022 103 citations Yasong Li, Zheng Zhou et al. profile →
  14. Defect-aware transformer network for intelligent visual surface defect detection
    2023 91 citations Chuang Sun, Jinxin Liu 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
Chuang Sun China 44 5.2k 2.8k 1.5k 1.5k 784 127 7.2k
Minping Jia China 48 4.9k 0.9× 3.2k 1.1× 1.6k 1.1× 1.1k 0.7× 592 0.8× 154 6.8k
Jinglong Chen China 45 5.4k 1.0× 3.0k 1.1× 1.6k 1.1× 1.4k 0.9× 412 0.5× 188 7.1k
Zhibin Zhao China 40 4.0k 0.8× 2.2k 0.8× 1.1k 0.7× 1.3k 0.9× 514 0.7× 148 6.3k
Feng Jia China 18 6.5k 1.2× 3.9k 1.4× 2.3k 1.5× 1.2k 0.8× 621 0.8× 48 8.2k
Rui Zhao China 27 3.3k 0.6× 2.4k 0.9× 1.0k 0.7× 1.9k 1.2× 764 1.0× 84 7.0k
Hongkai Jiang China 47 6.8k 1.3× 4.1k 1.5× 2.3k 1.5× 1.3k 0.8× 521 0.7× 132 8.0k
Liang Guo China 32 5.1k 1.0× 3.3k 1.2× 1.6k 1.0× 874 0.6× 681 0.9× 141 7.2k
Baoping Tang China 44 5.6k 1.1× 3.4k 1.2× 1.8k 1.2× 851 0.6× 410 0.5× 209 7.7k
Haidong Shao China 50 8.0k 1.5× 4.6k 1.6× 2.7k 1.8× 1.8k 1.2× 759 1.0× 128 9.9k
Changqing Shen China 41 5.6k 1.1× 3.4k 1.2× 1.8k 1.2× 1.1k 0.7× 361 0.5× 199 6.8k

Countries citing papers authored by Chuang Sun

Since Specialization
Citations

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

Fields of papers citing papers by Chuang Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chuang Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Chuang Sun. A scholar is included among the top collaborators of Chuang Sun 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 Chuang Sun. Chuang Sun 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.
2.
Sun, Chuang, Jian Zhu, Jun Wang, et al.. (2025). ChromInSight: Revealing DNA Double‐Strand Breaks Through Chromatin Structural Insights With an Interpretable Graph Neural Network Framework. Advanced Science. 12(36). e04571–e04571. 1 indexed citations
3.
Sun, Chuang, et al.. (2024). Superpixel perception graph neural network for intelligent defect detection of aero-engine blade. Journal of Manufacturing Systems. 77. 112–126. 7 indexed citations
4.
5.
Li, Yasong, Zheng Zhou, Chuang Sun, et al.. (2024). Domain Invariant and Consistent Ordinal Representation Learning for Remaining Useful Life Prediction of Bearings. IEEE Transactions on Industrial Informatics. 20(12). 14489–14498. 3 indexed citations
6.
Fan, Liang, et al.. (2024). Circ_0070934 promotes MGAT3 expression and inhibits epithelial-mesenchymal transition in bronchial epithelial cells by sponging miR-199a-5p. Allergy Asthma and Clinical Immunology. 20(1). 23–23. 2 indexed citations
7.
Wu, Jingyao, et al.. (2023). Mutual information-based feature disentangled network for anomaly detection under variable working conditions. Mechanical Systems and Signal Processing. 204. 110804–110804. 21 indexed citations
8.
Wang, Jun, Tianfu Li, Chuang Sun, Ruqiang Yan, & Xuefeng Chen. (2023). BP-SRM: A directly training algorithm for spiking neural network constructed by spike response model. Neurocomputing. 560. 126832–126832. 4 indexed citations
9.
Wu, Jingyao, et al.. (2023). Helicopter transmission system anomaly detection in variable flight regimes with decoupling variational autoencoder. Aerospace Science and Technology. 144. 108764–108764. 10 indexed citations
10.
Li, Yasong, Zheng Zhou, Chuang Sun, et al.. (2023). Life-cycle modeling driven by coupling competition degradation for remaining useful life prediction. Reliability Engineering & System Safety. 238. 109480–109480. 24 indexed citations
11.
Yang, Yuangui, Tianfu Li, Chuang Sun, Liuyang Zhang, & Ruqiang Yan. (2023). Graph attention U-Net to fuse multi-sensor signals for long-tailed distribution fault diagnosis. Engineering Applications of Artificial Intelligence. 126. 106927–106927. 22 indexed citations
12.
Miao, Huihui, et al.. (2021). Multi-Scale Convolutional Gated Recurrent Unit Networks for Tool Wear Prediction in Smart Manufacturing. Chinese Journal of Mechanical Engineering. 34(1). 26 indexed citations
13.
Zhao, Zhibin, Jingyao Wu, Tianfu Li, et al.. (2021). Challenges and Opportunities of AI-Enabled Monitoring, Diagnosis & Prognosis: A Review. Chinese Journal of Mechanical Engineering. 34(1). 100 indexed citations
14.
Zhou, Zheng, Tianfu Li, Zilong Zhang, et al.. (2021). Bayesian Differentiable Architecture Search for Efficient Domain Matching Fault Diagnosis. IEEE Transactions on Instrumentation and Measurement. 70. 1–11. 27 indexed citations
15.
Zhang, Qiyang, Zhibin Zhao, Xingwu Zhang, et al.. (2021). Conditional Adversarial Domain Generalization With a Single Discriminator for Bearing Fault Diagnosis. IEEE Transactions on Instrumentation and Measurement. 70. 1–15. 45 indexed citations
16.
Zhao, Zhibin, Qiyang Zhang, Xiaolei Yu, et al.. (2021). Applications of Unsupervised Deep Transfer Learning to Intelligent Fault Diagnosis: A Survey and Comparative Study. IEEE Transactions on Instrumentation and Measurement. 70. 1–28. 402 indexed citations breakdown →
17.
Shen, Fei, Hui Yun, Ruqiang Yan, Chuang Sun, & Jiawen Xu. (2020). A New Penalty Domain Selection Machine Enabled Transfer Learning for Gearbox Fault Recognition. IEEE Transactions on Industrial Electronics. 67(10). 8743–8754. 21 indexed citations
18.
Yu, Xiaolei, Zhibin Zhao, Xingwu Zhang, et al.. (2020). Conditional Adversarial Domain Adaptation With Discrimination Embedding for Locomotive Fault Diagnosis. IEEE Transactions on Instrumentation and Measurement. 70. 1–12. 89 indexed citations
19.
Sun, Chuang, Peng Wang, Ruqiang Yan, & Robert X. Gao. (2016). A sparse approach to fault severity classification for gearbox monitoring. International Conference on Information Fusion. 2303–2308. 10 indexed citations
20.
Sun, Chuang. (2013). Operating Reliability Assessment for Aero-engine Based on Condition Monitoring Information. Journal of Mechanical Engineering. 49(6). 30–30. 9 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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