Fei Chu

1.1k citations
83 papers · 802 · h-index 15

Impact in

Papers in

Fei Chu

71 papers receiving 778 citations

Peers

Fei Chu
Comparison fields: 5 of 107
  • Control and Systems Engineering 408
  • Ecological Modeling 38
  • Mechanical Engineering 264
  • Analytical Chemistry 68
  • Artificial Intelligence 208
Replace Juan José González de la Rosa with:
Juan José González de la Rosa Spain
Yitao Liang China
Farid Sheikholeslam Iran
Francisco Javier Molina Italy
Xiaofeng Liu China
Qinghua Zhang China
Nantian Huang China
Xingkai Yang Canada
Fei Chu relative to Juan José González de la Rosa Spain Juan José González de la Rosa's profile →
Citations per field
00.5×6.3×
Juan José González de la Rosa · 1×
Citations per year

Countries citing papers authored by Fei Chu

Since Specialization
Citations

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

Fields of papers citing papers by Fei Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Fei Chu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Fei Chu Line = papers co-authored together Fei Chu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019104
2 201096
3 201550
4 201237
5 197933
6 201731
7 201526
8 201825
9 201218
10 201918
11 201916
12 202116
13 201716
14 200915
15 201315
16 202414
17 201713
18 202212
19 197912
20 202312

About Fei Chu

Fei Chu is a scholar working on Control and Systems Engineering, Mechanical Engineering, Artificial Intelligence, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition, having authored 83 papers that have together received 802 indexed citations. Recurring topics across this work include Fault Detection and Control Systems (33 papers), Mineral Processing and Grinding (21 papers), Advanced Control Systems Optimization (16 papers), Machine Learning and ELM (10 papers), Process Optimization and Integration (6 papers), Turbomachinery Performance and Optimization (5 papers), Face and Expression Recognition (5 papers) and Spectroscopy and Chemometric Analyses (4 papers). The work is most often cited by research in Control and Systems Engineering (408 citations), Ecological Modeling (38 citations), Mechanical Engineering (264 citations), Analytical Chemistry (68 citations) and Artificial Intelligence (208 citations). Fei Chu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Fuli Wang, Xiaoping Ma, Xuesong Wang, Tao Liang, Mingxing Jia, C. L. Philip Chen, Wei Wang, Shuning Zhang, Runda Jia and W. D. Pilkey. Their work appears in journals such as IEEE Access, Industrial & Engineering Chemistry Research, The Canadian Journal of Chemical Engineering, Journal of Process Control and IEEE Transactions on Automation Science and Engineering.

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.

Explore authors with similar magnitude of impact