Nannan Ji

About

Nannan Ji is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Nannan Ji has authored 19 papers receiving a total of 297 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 4 papers in Signal Processing. Recurrent topics in Nannan Ji’s work include Generative Adversarial Networks and Image Synthesis (7 papers), Neural Networks and Applications (5 papers) and Machine Learning and ELM (3 papers). Nannan Ji is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (7 papers), Neural Networks and Applications (5 papers) and Machine Learning and ELM (3 papers). Nannan Ji collaborates with scholars based in China and Hong Kong. Nannan Ji's co-authors include Chunxia Zhang, Yee Leung, Jianghong Ma, Sha Ji, Yuhuan Wang, Chunxia Zhang, Jiangshe Zhang, Gao Guo, Junying Hu and Fang Du and has published in prestigious journals such as Pattern Recognition, Neurocomputing and Nano Research.

In The Last Decade

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

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Fields of papers citing papers by Nannan Ji

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Nannan Ji

Since Specialization

Citations

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