Feiya Lv
- Control and Systems Engineering top 5%
- Mechanical Engineering
- Artificial Intelligence
- Analytical Chemistry top 10%
- Industrial and Manufacturing Engineering top 10%
- Topics
- Fault Detection and Control Systems (14 papers)Mineral Processing and Grinding (12 papers)Spectroscopy and Chemometric Analyses (4 papers)
- Cited by
- Control and Systems EngineeringMechanical EngineeringStatistics, Probability and Uncertainty
- Journals
- Journal of the Franklin InstituteComputers & Chemical EngineeringProcess Safety and Environmental Protection
- Partner nations
- ChinaNetherlandsNorway
In The Last Decade
Feiya Lv
14 papers receiving 312 citations
Peers
Comparison fields: 5 of 47
- Control and Systems Engineering 270
- Mechanical Engineering 156
- Artificial Intelligence 62
- Analytical Chemistry 36
- Industrial and Manufacturing Engineering 30
Countries citing papers authored by Feiya Lv
This map shows the geographic impact of Feiya Lv'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 Feiya Lv with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feiya Lv more than expected).
Fields of papers citing papers by Feiya Lv
This network shows the impact of papers produced by Feiya Lv. 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 Feiya Lv. The network helps show where Feiya Lv may publish in the future.
Co-authorship network of co-authors of Feiya Lv
This figure shows the co-authorship network connecting the top 25 collaborators of Feiya Lv. A scholar is included among the top collaborators of Feiya Lv 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 Feiya Lv. Feiya Lv 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 | 5 | |
| 3 | 10 | |
| 4 | 2 | |
| 5 | 14 | |
| 6 | 7 | |
| 7 | Mutual Information Matrix for Interpretable Fault Detection. | 1 |
| 8 | 4 | |
| 9 | 17 | |
| 10 | 3 | |
| 11 | 10 | |
| 12 | 58 | |
| 13 | A Review of Data Driven-based Incipient Fault Diagnosis | 45 |
| 14 | 144 | |
| 15 | 1 |
About Feiya Lv
Feiya Lv is a scholar working on Control and Systems Engineering, Analytical Chemistry and Mechanical Engineering, having authored 15 papers that have together received 321 indexed citations. Recurring topics across this work include Fault Detection and Control Systems (14 papers), Mineral Processing and Grinding (12 papers) and Spectroscopy and Chemometric Analyses (4 papers). The work is most often cited by research in Control and Systems Engineering (270 citations), Mechanical Engineering (156 citations) and Statistics, Probability and Uncertainty (27 citations). Feiya Lv has collaborated with scholars based in China, Netherlands and Norway. Frequent co-authors include Chenglin Wen, Meiqin Liu, Zhejing Bao, Jinsong Zhao, Huawei Ye, Xiaotian Bi, Shujian Yu, Zhihai Xu, José C. Prı́ncipe and Xiaolin Wang. Their work appears in journals such as Journal of the Franklin Institute, Computers & Chemical Engineering and Process Safety and Environmental Protection.
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.