Feifan Shen

827 total citations · 2 hit papers
34 papers, 515 citations indexed

About

Feifan Shen is a scholar working on Control and Systems Engineering, Artificial Intelligence and Mechanical Engineering. According to data from OpenAlex, Feifan Shen has authored 34 papers receiving a total of 515 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Control and Systems Engineering, 9 papers in Artificial Intelligence and 9 papers in Mechanical Engineering. Recurrent topics in Feifan Shen's work include Fault Detection and Control Systems (26 papers), Advanced Control Systems Optimization (13 papers) and Mineral Processing and Grinding (8 papers). Feifan Shen is often cited by papers focused on Fault Detection and Control Systems (26 papers), Advanced Control Systems Optimization (13 papers) and Mineral Processing and Grinding (8 papers). Feifan Shen collaborates with scholars based in China and United States. Feifan Shen's co-authors include Lingjian Ye, Xiaofeng Yuan, Kai Wang, Chunhua Yang, Yalin Wang, Zhihuan Song, Weihua Gui, Bin Wang, Zhiqiang Ge and Le Zhou and has published in prestigious journals such as Applied Energy, IEEE Access and Industrial & Engineering Chemistry Research.

In The Last Decade

Feifan Shen

30 papers receiving 511 citations

Hit Papers

align trajectories

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.

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 →
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

Feifan Shen

CSE

IME

Liangjun Feng China

Zhuofu Pan China

Xu Yang China

Fan Guo China

Xuejin Gao China

Junhua Zheng China

Pengxin Wang China

Deyang Wu China

Zhengbing Yan China

Liangjun Feng China

Feifan Shen

354 ×1.0

CSE

162 ×1.1

207 ×1.5

52 ×0.9

IME

30 ×0.6

Citations per year, relative to Feifan Shen Feifan Shen (= 1×) peers Liangjun Feng

Countries citing papers authored by Feifan Shen

Since Specialization

Citations

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

Fields of papers citing papers by Feifan Shen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feifan Shen

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Shen, Feifan, et al.. (2025). Deep feature extraction and fault diagnosis of solenoid valves in propulsion systems based on temporal-attention GraphLSTM model. Measurement and Control. 59(2). 152–164.

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.

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

Zhang, Ji, et al.. (2024). Working fluid pair selection of thermally integrated pumped thermal electricity storage system for waste heat recovery and energy storage. Applied Energy. 371. 123693–123693. 13 indexed citations

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.

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

Wang, Yurun, Yi Huang, Dongsheng Chen, et al.. (2024). Prox-STA-LSTM: A Sparse Representation for the Attention-Based LSTM Networks for Industrial Soft Sensor Development. IEEE Access. 12. 80633–80645. 2 indexed citations

Shen, Feifan, Jiayang Wu, Lingjian Ye, & Bin Wang. (2024). Memory-Adaptive Supervised LSTM Networks for Deep Soft Sensor Development of Industrial Processes. IEEE Sensors Journal. 24(13). 21641–21654. 9 indexed citations

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.

Shen, Feifan, et al.. (2024). Data Augmentation Using Time Conditional Variational Autoencoder for Soft Sensor of Industrial Processes With Limited Data. IEEE Transactions on Instrumentation and Measurement. 73. 1–14. 9 indexed citations

11.

Yuan, Xiaofeng, Lingjian Ye, Kai Wang, et al.. (2024). Variable Correlation Analysis-Based Convolutional Neural Network for Far Topological Feature Extraction and Industrial Predictive Modeling. IEEE Transactions on Instrumentation and Measurement. 73. 1–10. 48 indexed citations breakdown →

12.

Shen, Feifan, et al.. (2023). Enhanced control structure design for an industrial off-gas system: Simple reconfigurations benefit the economy. Heliyon. 9(1). e12934–e12934. 2 indexed citations

13.

Ye, Lingjian, et al.. (2023). Efficiency Maximization of a Direct Internal Reforming Solid Oxide Fuel Cell in a Two-Layer Self-Optimizing Control Structure. ACS Omega. 8(16). 14558–14571. 7 indexed citations

14.

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

15.

Wu, Yi, et al.. (2022). Nonlinear Dynamic Soft Sensor Development with a Supervised Hybrid CNN-LSTM Network for Industrial Processes. ACS Omega. 7(19). 16653–16664. 20 indexed citations

16.

Ye, Lingjian, et al.. (2022). Design of hybrid batch-to-batch and within-batch self-optimizing control structures for batch processes. Journal of Process Control. 113. 1–17. 9 indexed citations

17.

Ye, Lingjian, et al.. (2021). Dynamic Process Monitoring Based on Variational Bayesian Canonical Variate Analysis. IEEE Transactions on Systems Man and Cybernetics Systems. 52(4). 2412–2422. 39 indexed citations

18.

Shen, Feifan, et al.. (2021). Improved Mahalanobis Distance Based JITL-LSTM Soft Sensor for Multiphase Batch Processes. IEEE Access. 9. 72172–72182. 15 indexed citations

19.

Shen, Feifan, et al.. (2020). LSTM Soft Sensor Development of Batch Processes With Multivariate Trajectory-Based Ensemble Just-in-Time Learning. IEEE Access. 8. 73855–73864. 23 indexed citations

20.

Ye, Lingjian, et al.. (2019). Economic operation of a fluid catalytic cracking process using self-optimizing control and reconfiguration. Journal of the Taiwan Institute of Chemical Engineers. 96. 104–113. 22 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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