Shenmin Song

114 papers and 1.5k indexed citations i.

About

Shenmin Song is a scholar working on Control and Systems Engineering, Aerospace Engineering and Artificial Intelligence. According to data from OpenAlex, Shenmin Song has authored 114 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Control and Systems Engineering, 68 papers in Aerospace Engineering and 38 papers in Artificial Intelligence. Recurrent topics in Shenmin Song’s work include Adaptive Control of Nonlinear Systems (52 papers), Guidance and Control Systems (34 papers) and Military Defense Systems Analysis (20 papers). Shenmin Song is often cited by papers focused on Adaptive Control of Nonlinear Systems (52 papers), Guidance and Control Systems (34 papers) and Military Defense Systems Analysis (20 papers). Shenmin Song collaborates with scholars based in China, Finland and United Kingdom. Shenmin Song's co-authors include Hu Zhang, Shengli Xu, Liguo Tan, Yong Guo, Haitao Chen, Aimin Zhou, Zhibin Zhu, Xiao-Yan Yang, Yongqiang Guo and Xiao-Zhi Gao and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, Expert Systems with Applications and Sensors.

In The Last Decade

Co-authorship network of co-authors of Shenmin Song i

Fields of papers citing papers by Shenmin Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Shenmin Song

Since Specialization
Citations

This map shows the geographic impact of Shenmin Song'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 Shenmin Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shenmin Song 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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2025