Jinfu Liu

5.1k citations
129 papers · 3.7k indexed · 1 hit paper · h-index 27
Topics
Energy Load and Power Forecasting (34 papers)Solar Radiation and Photovoltaics (17 papers)Fault Detection and Control Systems (14 papers)

In The Last Decade

Jinfu Liu

119 papers receiving 3.6k citations

Hit Papers

Neighborhood rough set based heterogeneous feature subset...20082026201420202008250500750

Peers

Jinfu Liu
Comparison fields: 5 of 143
  • Artificial Intelligence 1.3k
  • Computational Theory and Mathematics 1.2k
  • Electrical and Electronic Engineering 1.1k
  • Information Systems 712
  • Control and Systems Engineering 551
Replace Joong Hoon Kim with:
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G. V. Loganathan United States
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Jinfu Liu relative to Joong Hoon Kim South Korea Joong Hoon Kim's profile →
Citations per field
00.5×3.8×
Joong Hoon Kim · 1×
Citations per year

Countries citing papers authored by Jinfu Liu

Since Specialization
Citations

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

Fields of papers citing papers by Jinfu Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinfu Liu

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 5
2 4
3 6
4 2
5 6
6 9
7 16
8 4
9 4
10 25
11 4
12 1
13 8
14 26
15 17
16 45
17 4
18 19
19
Algorithms of SDG-based Fault Diagnosis with Unmeasured Nodes for Deaerator
1
20
Design and Realization of Hardware-in-the-loop Simulation for Turbofan-engine
3

About Jinfu Liu

Jinfu Liu is a scholar working on Energy Engineering and Power Technology, Control and Systems Engineering and Artificial Intelligence, having authored 129 papers that have together received 3.7k indexed citations. Recurring topics across this work include Energy Load and Power Forecasting (34 papers), Solar Radiation and Photovoltaics (17 papers) and Fault Detection and Control Systems (14 papers). The work is most often cited by research in Computational Theory and Mathematics (1.2k citations), Energy Engineering and Power Technology (202 citations) and Artificial Intelligence (1.3k citations). Jinfu Liu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Daren Yu, Qinghua Hu, Congxin Wu, Jie Wan, Guorui Ren, Mingliang Bai, Zongxia Xie, Donghyeon Yu, Yufeng Guo and Juntao Chang. Their work appears in journals such as The Astrophysical Journal, The Science of The Total Environment and Applied Energy.

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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