Fang Shi

About

Fang Shi is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Artificial Intelligence. According to data from OpenAlex, Fang Shi has authored 44 papers receiving a total of 565 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Electrical and Electronic Engineering, 27 papers in Control and Systems Engineering and 4 papers in Artificial Intelligence. Recurrent topics in Fang Shi’s work include Power Systems Fault Detection (20 papers), Power System Optimization and Stability (14 papers) and Islanding Detection in Power Systems (9 papers). Fang Shi is often cited by papers focused on Power Systems Fault Detection (20 papers), Power System Optimization and Stability (14 papers) and Islanding Detection in Power Systems (9 papers). Fang Shi collaborates with scholars based in China, United Kingdom and Denmark. Fang Shi's co-authors include Hengxu Zhang, Vladimir Terzija, Weijiang Chen, Wei Xie, Qiuwei Wu, Chen Fang, Yutian Liu, Jianliang Wang, Puyu Wang and Xiaoping Zhang and has published in prestigious journals such as Neuroscience, IEEE Transactions on Power Systems and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of Fang Shi i

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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.

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).

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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