Fang Shi

1.2k citations
67 papers · 792 indexed · h-index 17
Topics
Power Systems Fault Detection (27 papers)Power System Optimization and Stability (24 papers)Islanding Detection in Power Systems (14 papers)
Journals
SHILAP Revista de lepidopterologíaRenewable and Sustainable Energy ReviewsNeuroscience

In The Last Decade

Fang Shi

60 papers receiving 775 citations

Peers

Fang Shi
Comparison fields: 5 of 70
  • Electrical and Electronic Engineering 637
  • Control and Systems Engineering 529
  • Safety, Risk, Reliability and Quality 69
  • Mechanical Engineering 47
  • Energy Engineering and Power Technology 35
Replace Ghulam Amjad Hussain with:
Ghulam Amjad Hussain Finland
Jyh‐Cherng Gu Taiwan
Mark Halpin United States
Giovanni Tinè Italy
Brian K. Johnson United States
Chi‐Jui Wu Taiwan
Paresh Kumar Nayak India
I. Papič Slovenia
C. Machado Ferreira Portugal
Kleber M. Silva Brazil
Fang Shi relative to Ghulam Amjad Hussain Finland Ghulam Amjad Hussain's profile →
Citations per field
00.5×2.7×
Ghulam Amjad Hussain · 1×
Citations per year

Countries citing papers authored by Fang Shi

Since Specialization
Citations

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

Fields of papers citing papers by Fang Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fang Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Fang Shi. A scholar is included among the top collaborators of Fang Shi 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 Fang Shi. Fang Shi 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 0
2 2
3 1
4 2
5 1
6 0
7 48
8 36
9 1
10 1
11 3
12 125
13 4
14 20
15 19
16 1
17 3
18 0
19 40
20 0

About Fang Shi

Fang Shi is a scholar working on Control and Systems Engineering, Energy Engineering and Power Technology and Electrical and Electronic Engineering, having authored 67 papers that have together received 792 indexed citations. Recurring topics across this work include Power Systems Fault Detection (27 papers), Power System Optimization and Stability (24 papers) and Islanding Detection in Power Systems (14 papers). The work is most often cited by research in Control and Systems Engineering (529 citations), Energy Engineering and Power Technology (35 citations) and Electrical and Electronic Engineering (637 citations). Fang Shi has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Hengxu Zhang, Vladimir Terzija, Weijiang Chen, Chen Fang, Wei Xie, Qiuwei Wu, Yutian Liu, Puyu Wang, Xiaoping Zhang and Jianliang Wang. Their work appears in journals such as SHILAP Revista de lepidopterología, Renewable and Sustainable Energy Reviews and Neuroscience.

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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