Mingjun Song

9 papers and 236 indexed citations i.

About

Mingjun Song is a scholar working on Control and Systems Engineering, Aerospace Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Mingjun Song has authored 9 papers receiving a total of 236 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Control and Systems Engineering, 2 papers in Aerospace Engineering and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Mingjun Song’s work include Vibration and Dynamic Analysis (3 papers), Fluid Dynamics and Vibration Analysis (2 papers) and Industrial Technology and Control Systems (1 paper). Mingjun Song is often cited by papers focused on Vibration and Dynamic Analysis (3 papers), Fluid Dynamics and Vibration Analysis (2 papers) and Industrial Technology and Control Systems (1 paper). Mingjun Song collaborates with scholars based in China and United States. Mingjun Song's co-authors include Daniel L. Civco, Sanguthevar Rajasekaran, Xiujuan Zheng, Guo Yao, Liguan Wang, Harry R. Aslanian, Xiaoming Shang, Thiruvengadam Muniraj and Priya A. Jamidar and has published in prestigious journals such as Photogrammetric Engineering & Remote Sensing, Robotics and Autonomous Systems and Aerospace Science and Technology.

In The Last Decade

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

Fields of papers citing papers by Mingjun Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mingjun Song

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025