Qingyu Song

About

Qingyu Song is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Qingyu Song has authored 11 papers receiving a total of 401 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 2 papers in Electrical and Electronic Engineering. Recurrent topics in Qingyu Song’s work include Video Surveillance and Tracking Methods (4 papers), Anomaly Detection Techniques and Applications (3 papers) and Advanced Neural Network Applications (3 papers). Qingyu Song is often cited by papers focused on Video Surveillance and Tracking Methods (4 papers), Anomaly Detection Techniques and Applications (3 papers) and Advanced Neural Network Applications (3 papers). Qingyu Song collaborates with scholars based in China, United States and United Kingdom. Qingyu Song's co-authors include Jian Wu, Jilin Li, Ying Tai, Yabiao Wang, Chengjie Wang, Danny Z. Chen, Jintai Chen, Changan Wang, Haochao Ying and Feiyue Huang and has published in prestigious journals such as Neurocomputing, Energies and IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

In The Last Decade

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

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Fields of papers citing papers by Qingyu Song

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Qingyu Song

Since Specialization

Citations

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