Yongnan Ji

About

Yongnan Ji is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Yongnan Ji has authored 4 papers receiving a total of 271 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 2 papers in Cognitive Neuroscience and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Yongnan Ji’s work include Advanced MRI Techniques and Applications (2 papers), Neural Networks and Applications (2 papers) and Blind Source Separation Techniques (2 papers). Yongnan Ji is often cited by papers focused on Advanced MRI Techniques and Applications (2 papers), Neural Networks and Applications (2 papers) and Blind Source Separation Techniques (2 papers). Yongnan Ji collaborates with scholars based in United Kingdom and Australia. Yongnan Ji's co-authors include Hao Jin, Nima Reyhani, Amaury Lendasse, Antti Sorjamaa, Uwe Aickelin, Pierre‐Yves Hervé and Alain Pitiot and has published in prestigious journals such as Neurocomputing, Lecture notes in computer science and The European Symposium on Artificial Neural Networks.

In The Last Decade

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

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Fields of papers citing papers by Yongnan Ji

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yongnan Ji

Since Specialization

Citations

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