Feng Ji

47 papers and 361 indexed citations i.

About

Feng Ji is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Feng Ji has authored 47 papers receiving a total of 361 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 14 papers in Statistical and Nonlinear Physics and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Feng Ji’s work include Complex Network Analysis Techniques (13 papers), Advanced Graph Neural Networks (11 papers) and Topic Modeling (5 papers). Feng Ji is often cited by papers focused on Complex Network Analysis Techniques (13 papers), Advanced Graph Neural Networks (11 papers) and Topic Modeling (5 papers). Feng Ji collaborates with scholars based in China, Singapore and United States. Feng Ji's co-authors include Wee Peng Tay, Bangjun Wang, Jie Zheng, Da-Ren He, Kejia Xie, Cheng Deng, Lingling An, Lav R. Varshney, Xinbo Gao and Dacheng Tao and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Signal Processing and Energy Economics.

In The Last Decade

Co-authorship network of co-authors of Feng Ji i

Fields of papers citing papers by Feng Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Feng Ji

Since Specialization
Citations

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