Long Sheng

About

Long Sheng is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Long Sheng has authored 24 papers receiving a total of 320 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Control and Systems Engineering, 5 papers in Electrical and Electronic Engineering and 4 papers in Artificial Intelligence. Recurrent topics in Long Sheng’s work include Complex Network Analysis Techniques (3 papers), Magnetic Bearings and Levitation Dynamics (2 papers) and Neural Networks and Applications (2 papers). Long Sheng is often cited by papers focused on Complex Network Analysis Techniques (3 papers), Magnetic Bearings and Levitation Dynamics (2 papers) and Neural Networks and Applications (2 papers). Long Sheng collaborates with scholars based in China, Canada and United States. Long Sheng's co-authors include Jun Ye, J. L. Hall, Ya‐Jun Pan, Chun-Guang Li, Tongwen Chen, Horacio J. Marquez, Xiang Gong, Jin Fang, Yuheng Wu and Yongqiang Zhang and has published in prestigious journals such as Physical Review Letters, Physica A Statistical Mechanics and its Applications and Applied Sciences.

In The Last Decade

Co-authorship network of co-authors of Long Sheng i

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Fields of papers citing papers by Long Sheng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Long Sheng

Since Specialization

Citations

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