Xiaofeng Yuan

7.7k total citations · 7 hit papers
140 papers, 6.0k citations indexed

About

Xiaofeng Yuan is a scholar working on Control and Systems Engineering, Mechanical Engineering and Artificial Intelligence. According to data from OpenAlex, Xiaofeng Yuan has authored 140 papers receiving a total of 6.0k indexed citations (citations by other indexed papers that have themselves been cited), including 117 papers in Control and Systems Engineering, 58 papers in Mechanical Engineering and 47 papers in Artificial Intelligence. Recurrent topics in Xiaofeng Yuan's work include Fault Detection and Control Systems (109 papers), Mineral Processing and Grinding (55 papers) and Advanced Control Systems Optimization (44 papers). Xiaofeng Yuan is often cited by papers focused on Fault Detection and Control Systems (109 papers), Mineral Processing and Grinding (55 papers) and Advanced Control Systems Optimization (44 papers). Xiaofeng Yuan collaborates with scholars based in China, Hong Kong and Germany. Xiaofeng Yuan's co-authors include Yalin Wang, Chunhua Yang, Weihua Gui, Lin Li, Weihua Gui, Zhiqiang Ge, Biao Huang, Zhihuan Song, Kai Wang and Lingjian Ye and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, Expert Systems with Applications and IEEE Access.

In The Last Decade

Xiaofeng Yuan

130 papers receiving 5.8k citations

Hit Papers

Deep Learning-Based Feature Representation and Its Applic... 2018 2026 2020 2023 2018 2019 2020 2019 2019 100 200 300 400 500
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-Based Feature Representation and Its Application for Soft Sensor Modeling With Variable-Wise Weighted SAE
    2018 516 citations Xiaofeng Yuan, Biao Huang et al. IEEE Transactions on Industrial Informatics profile →
  2. Nonlinear Dynamic Soft Sensor Modeling With Supervised Long Short-Term Memory Network
    2019 402 citations Xiaofeng Yuan, Lin Li et al. IEEE Transactions on Industrial Informatics profile →
  3. Deep Learning With Spatiotemporal Attention-Based LSTM for Industrial Soft Sensor Model Development
    2020 369 citations Xiaofeng Yuan, Lin Li et al. profile →
  4. A novel deep learning based fault diagnosis approach for chemical process with extended deep belief network
    2019 330 citations Yalin Wang, Xiaofeng Yuan et al. profile →
  5. Hierarchical Quality-Relevant Feature Representation for Soft Sensor Modeling: A Novel Deep Learning Strategy
    2019 231 citations Xiaofeng Yuan, Jiao Zhou et al. IEEE Transactions on Industrial Informatics profile →
  6. Quality Prediction Modeling for Industrial Processes Using Multiscale Attention-Based Convolutional Neural Network
    2024 60 citations Xiaofeng Yuan, Lingjian Ye et al. IEEE Transactions on Cybernetics profile →
  7. Variable Correlation Analysis-Based Convolutional Neural Network for Far Topological Feature Extraction and Industrial Predictive Modeling
    2024 48 citations Xiaofeng Yuan, Lingjian Ye et al. IEEE Transactions on Instrumentation and Measurement profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaofeng Yuan China 43 4.4k 2.0k 1.8k 678 612 140 6.0k
Yalin Wang China 40 4.1k 0.9× 2.0k 1.0× 1.8k 1.0× 569 0.8× 594 1.0× 232 6.0k
Weihua Gui China 44 3.9k 0.9× 1.5k 0.7× 1.3k 0.7× 364 0.5× 389 0.6× 293 6.5k
Zhihuan Song China 48 6.6k 1.5× 3.6k 1.8× 1.1k 0.6× 1.8k 2.6× 318 0.5× 272 7.7k
Junghui Chen Taiwan 35 3.2k 0.7× 1.7k 0.9× 590 0.3× 774 1.1× 236 0.4× 287 4.8k
Yuan Yao Taiwan 33 2.2k 0.5× 1.5k 0.7× 565 0.3× 526 0.8× 423 0.7× 234 4.0k
Fan Yang China 32 2.9k 0.7× 1.0k 0.5× 829 0.5× 549 0.8× 178 0.3× 213 4.1k
Chao Shang China 27 1.9k 0.4× 781 0.4× 861 0.5× 347 0.5× 187 0.3× 129 3.6k
Kaixiang Peng China 33 3.5k 0.8× 1.8k 0.9× 497 0.3× 608 0.9× 364 0.6× 270 4.3k
Leo H. Chiang United States 23 3.5k 0.8× 1.9k 0.9× 456 0.2× 1.3k 1.9× 202 0.3× 55 4.3k
Yongfang Xie China 34 1.4k 0.3× 1.4k 0.7× 1.0k 0.6× 120 0.2× 308 0.5× 301 4.0k

Countries citing papers authored by Xiaofeng Yuan

Since Specialization
Citations

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

Fields of papers citing papers by Xiaofeng Yuan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaofeng Yuan

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaofeng Yuan. A scholar is included among the top collaborators of Xiaofeng Yuan 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 Xiaofeng Yuan. Xiaofeng Yuan 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.
Ye, Lingjian, Zeyu Yang, Feifan Shen, & Xiaofeng Yuan. (2025). Design of enhanced two-dimensional self-optimizing control system for batch process. Computers & Chemical Engineering. 195. 109029–109029.
2.
Yuan, Xiaofeng, Lingjian Ye, Feifan Shen, et al.. (2025). Deep learning-based model predictive control with exponential weighting strategy and its application in energy management systems. Journal of Process Control. 155. 103542–103542. 1 indexed citations
3.
Yang, Ziyi, Kai Wang, Xiaofeng Yuan, et al.. (2025). Gaussian-based Interval-Aware Transformer With Interval Embedding for Data Sequence Modeling With Irregular Sampling Frequency in Industrial Processes. IEEE Transactions on Industrial Informatics. 21(8). 5811–5821. 1 indexed citations
4.
Wang, Kai, et al.. (2024). A novel network for semantic segmentation of landslide areas in remote sensing images with multi-branch and multi-scale fusion. Applied Soft Computing. 158. 111542–111542. 9 indexed citations
5.
Yuan, Xiaofeng, et al.. (2024). Semantic segmentation model based on edge information for rock structural surface traces detection. Engineering Applications of Artificial Intelligence. 140. 109706–109706.
6.
Wang, Kai, et al.. (2024). Spiking autoencoder for nonlinear industrial process fault detection. Information Sciences. 665. 120389–120389. 8 indexed citations
7.
Yuan, Xiaofeng, Jiale Zhang, Kai Wang, et al.. (2024). Missing Data Imputation for Industrial Time Series With Adaptive Median Iteration Based on Generative Adversarial Networks. IEEE Sensors Journal. 24(21). 35081–35091. 12 indexed citations
8.
Zhu, Hongqiu, Yuri A.W. Shardt, Lingjian Ye, et al.. (2024). Missing-Data Imputation With Position-Encoding Denoising Autoencoders for Industrial Processes. IEEE Transactions on Instrumentation and Measurement. 73. 1–11. 24 indexed citations
9.
Yuan, Xiaofeng, Lingjian Ye, Yalin Wang, et al.. (2024). Quality Prediction Modeling for Industrial Processes Using Multiscale Attention-Based Convolutional Neural Network. IEEE Transactions on Cybernetics. 54(5). 2696–2707. 60 indexed citations breakdown →
10.
Wang, Yalin, et al.. (2023). Residual-aware deep attention graph convolutional network via unveiling data latent interactions for product quality prediction in industrial processes. Expert Systems with Applications. 245. 123078–123078. 8 indexed citations
11.
Wang, Kai, et al.. (2023). Maximizing Anomaly Detection Performance Using Latent Variable Models in Industrial Systems. IEEE Transactions on Automation Science and Engineering. 21(3). 4808–4816. 7 indexed citations
12.
Yuan, Xiaofeng, Lin Li, Kai Wang, et al.. (2023). Multiscale Dynamic Feature Learning for Quality Prediction Based on Hierarchical Sequential Generative Network. IEEE Sensors Journal. 23(17). 19561–19570. 29 indexed citations
13.
Yuan, Xiaofeng, et al.. (2022). Virtual Sensor Modeling for Nonlinear Dynamic Processes Based on Local Weighted PSFA. IEEE Sensors Journal. 22(21). 20655–20664. 26 indexed citations
14.
Yuan, Xiaofeng, et al.. (2021). Online Adaptive Modeling Framework for Deep Belief Network-Based Quality Prediction in Industrial Processes. Industrial & Engineering Chemistry Research. 60(42). 15208–15218. 17 indexed citations
15.
Yuan, Xiaofeng, et al.. (2021). Quality Variable Prediction for Nonlinear Dynamic Industrial Processes Based on Temporal Convolutional Networks. IEEE Sensors Journal. 21(18). 20493–20503. 70 indexed citations
16.
Wang, Kai, Xiaofeng Yuan, Junghui Chen, & Yalin Wang. (2020). Supervised and semi-supervised probabilistic learning with deep neural networks for concurrent process-quality monitoring. Neural Networks. 136. 54–62. 32 indexed citations
17.
Wang, Yalin, et al.. (2019). Modeling and Simulation of Reaction and Fractionation Systems for the Industrial Residue Hydrotreating Process. Processes. 8(1). 32–32. 9 indexed citations
18.
Yuan, Xiaofeng, Jiao Zhou, Biao Huang, et al.. (2019). Hierarchical Quality-Relevant Feature Representation for Soft Sensor Modeling: A Novel Deep Learning Strategy. IEEE Transactions on Industrial Informatics. 16(6). 3721–3730. 231 indexed citations breakdown →
19.
Yuan, Xiaofeng, Jiao Zhou, Yalin Wang, & Chunhua Yang. (2019). Fuzzy C-means Cluster Based on Local Weighted Principal Component Regression for Soft Sensor of an Industrial Hydrocracking process. Asian Control Conference. 242–247. 1 indexed citations
20.
Yuan, Xiaofeng, Biao Huang, Yalin Wang, Chunhua Yang, & Weihua Gui. (2018). Deep Learning-Based Feature Representation and Its Application for Soft Sensor Modeling With Variable-Wise Weighted SAE. IEEE Transactions on Industrial Informatics. 14(7). 3235–3243. 516 indexed citations breakdown →

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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