Fengyi Song

17 papers and 276 indexed citations i.

About

Fengyi Song is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Human-Computer Interaction. According to data from OpenAlex, Fengyi Song has authored 17 papers receiving a total of 276 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 3 papers in Human-Computer Interaction. Recurrent topics in Fengyi Song’s work include Advanced Image and Video Retrieval Techniques (6 papers), Face recognition and analysis (4 papers) and Multimodal Machine Learning Applications (3 papers). Fengyi Song is often cited by papers focused on Advanced Image and Video Retrieval Techniques (6 papers), Face recognition and analysis (4 papers) and Multimodal Machine Learning Applications (3 papers). Fengyi Song collaborates with scholars based in China, Hong Kong and United States. Fengyi Song's co-authors include Xiaoyang Tan, Songcan Chen, Xue Liu, Zhi‐Hua Zhou, Yu Huang, Maochao Xu, Li Cheng, Dong Wang, Xiaoqian Qin and Zhihua Zhou and has published in prestigious journals such as Pattern Recognition, Remote Sensing and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

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

Fields of papers citing papers by Fengyi Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Fengyi Song

Since Specialization
Citations

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