Fei Chu

1.1k citations
86 papers · 853 · h-index 16

Impact in

Papers in

Fei Chu

76 papers receiving 835 citations

Peers

Fei Chu
Comparison fields: 5 of 106
  • Control and Systems Engineering 422
  • Ecological Modeling 38
  • Mechanical Engineering 275
  • Analytical Chemistry 69
  • Artificial Intelligence 217
Replace Xiaoli Zhang with:
Xiaoli Zhang China
Juan José González de la Rosa Spain
Francisco Javier Molina Italy
June Ho Park South Korea
Qinghua Zhang China
Kui Hu China
Nantian Huang China
Xingkai Yang Canada
Fei Chu relative to Xiaoli Zhang China Xiaoli Zhang's profile →
Citations per field
00.5×4.2×
Xiaoli Zhang · 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 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019112
2 2010101
3 201550
4 201238
5 197934
6 201732
7 201526
8 201826
9 202119
10 201919
11 201918
12 201218
13 200917
14 201316
15 202416
16 201716
17 201714
18 197912
19 202212
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 Materials Chemistry, having authored 86 papers that have together received 853 indexed citations. Recurring topics across this work include Fault Detection and Control Systems (34 papers), Mineral Processing and Grinding (22 papers), Advanced Control Systems Optimization (16 papers), Machine Learning and ELM (11 papers), Process Optimization and Integration (6 papers), Face and Expression Recognition (5 papers), Hydrogen Storage and Materials (5 papers) and Turbomachinery Performance and Optimization (5 papers). The work is most often cited by research in Control and Systems Engineering (422 citations), Ecological Modeling (38 citations), Mechanical Engineering (275 citations), Analytical Chemistry (69 citations) and Artificial Intelligence (217 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, C. L. Philip Chen, Mingxing Jia, Runda Jia, Shuning Zhang, Wei Wang and W. D. Pilkey. Their work appears in journals such as IEEE Access, The Canadian Journal of Chemical Engineering, IEEE Transactions on Automation Science and Engineering, Industrial & Engineering Chemistry Research and Chemical Engineering Journal.

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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