Song Qi

9 papers and 234 indexed citations i.

About

Song Qi is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Song Qi has authored 9 papers receiving a total of 234 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 4 papers in Electrical and Electronic Engineering and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Song Qi’s work include AI in cancer detection (3 papers), Smart Grid and Power Systems (2 papers) and Machine Learning and ELM (1 paper). Song Qi is often cited by papers focused on AI in cancer detection (3 papers), Smart Grid and Power Systems (2 papers) and Machine Learning and ELM (1 paper). Song Qi collaborates with scholars based in China and United States. Song Qi's co-authors include Kaihong Guo, Pin Wang, Yongming Li, Shanshan Lv, Xianling Hu, Jiaxin Wang, Lirui Wang, Bin Ouyang, Yuwei Li and Heye Zhang and has published in prestigious journals such as Applied Soft Computing, Biomedical Signal Processing and Control and Digital Signal Processing.

In The Last Decade

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

Fields of papers citing papers by Song Qi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Song Qi

Since Specialization
Citations

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