Yuanfeng Ji

6 papers and 149 indexed citations i.

About

Yuanfeng Ji is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Yuanfeng Ji has authored 6 papers receiving a total of 149 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 1 paper in Molecular Biology. Recurrent topics in Yuanfeng Ji’s work include Advanced Neural Network Applications (3 papers), Advanced Image and Video Retrieval Techniques (2 papers) and Multimodal Machine Learning Applications (2 papers). Yuanfeng Ji is often cited by papers focused on Advanced Neural Network Applications (3 papers), Advanced Image and Video Retrieval Techniques (2 papers) and Multimodal Machine Learning Applications (2 papers). Yuanfeng Ji collaborates with scholars based in China, Hong Kong and Macao. Yuanfeng Ji's co-authors include Di Lin, Hui Huang, Ping Li, Ruimao Zhang, Daniel Cohen‐Or, Dani Lischinski, Ping Luo, Tong Lü, Lanqing Hong and Zhe Chen and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Cybernetics and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

In The Last Decade

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

Fields of papers citing papers by Yuanfeng Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yuanfeng Ji

Since Specialization
Citations

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