Songjie Gong

19 papers and 220 indexed citations i.

About

Songjie Gong is a scholar working on Information Systems, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Songjie Gong has authored 19 papers receiving a total of 220 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Information Systems, 6 papers in Computer Vision and Pattern Recognition and 3 papers in Artificial Intelligence. Recurrent topics in Songjie Gong’s work include Recommender Systems and Techniques (13 papers), Image Retrieval and Classification Techniques (6 papers) and Mobile Crowdsensing and Crowdsourcing (2 papers). Songjie Gong is often cited by papers focused on Recommender Systems and Techniques (13 papers), Image Retrieval and Classification Techniques (6 papers) and Mobile Crowdsensing and Crowdsourcing (2 papers). Songjie Gong collaborates with scholars based in China. Songjie Gong's co-authors include Xiaoming Zhu, Kun Gao, Ping Su, Kun Gao and Guangyu Zhou and has published in prestigious journals such as EURASIP Journal on Wireless Communications and Networking, Concurrency and Computation Practice and Experience and Journal of Computers.

In The Last Decade

Co-authorship network of co-authors of Songjie Gong i

Fields of papers citing papers by Songjie Gong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Songjie Gong

Since Specialization
Citations

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