Feifan Shen
- Control and Systems Engineering top 5%
- Mechanical Engineering
- Artificial Intelligence top 10%
- Industrial and Manufacturing Engineering top 10%
- Analytical Chemistry top 10%
- Co-authors
- Lingjian YeXiaofeng YuanKai WangChunhua YangYalin WangZhihuan SongWeihua GuiBin Wang
- Topics
- Fault Detection and Control Systems (26 papers)Advanced Control Systems Optimization (13 papers)Mineral Processing and Grinding (8 papers)
- Cited by
- Control and Systems EngineeringIndustrial and Manufacturing EngineeringStatistics, Probability and Uncertainty
- Partner nations
- ChinaUnited States
In The Last Decade
Feifan Shen
30 papers receiving 511 citations
Hit Papers
Peers
Comparison fields: 5 of 63
- Control and Systems Engineering 349
- Mechanical Engineering 152
- Artificial Intelligence 137
- Industrial and Manufacturing Engineering 57
- Analytical Chemistry 49
Countries citing papers authored by Feifan Shen
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 13 | |
| 5 | 0 | |
| 6 | 12 | |
| 7 | 2 | |
| 8 | 9 | |
| 9 | Quality Prediction Modeling for Industrial Processes Using Multiscale Attention-Based Convolutional Neural Networkbreakdown → | 60 |
| 10 | 9 | |
| 11 | Variable Correlation Analysis-Based Convolutional Neural Network for Far Topological Feature Extraction and Industrial Predictive Modelingbreakdown → | 48 |
| 12 | 2 | |
| 13 | 7 | |
| 14 | 29 | |
| 15 | 20 | |
| 16 | 9 | |
| 17 | 39 | |
| 18 | 15 | |
| 19 | 23 | |
| 20 | 22 |
About Feifan Shen
Feifan Shen is a scholar working on Control and Systems Engineering, Statistics, Probability and Uncertainty and Industrial and Manufacturing Engineering, having authored 34 papers that have together received 515 indexed citations. Recurring topics across this work include Fault Detection and Control Systems (26 papers), Advanced Control Systems Optimization (13 papers) and Mineral Processing and Grinding (8 papers). The work is most often cited by research in Control and Systems Engineering (349 citations), Industrial and Manufacturing Engineering (57 citations) and Statistics, Probability and Uncertainty (36 citations). Feifan Shen has collaborated with scholars based in China and United States. Frequent co-authors include Lingjian Ye, Xiaofeng Yuan, Kai Wang, Chunhua Yang, Yalin Wang, Zhihuan Song, Weihua Gui, Bin Wang, Zhiqiang Ge and Le Zhou. Their work appears in journals such as Applied Energy, IEEE Access and Industrial & Engineering Chemistry Research.
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.