Juncai Pu

14 papers and 407 indexed citations i.

About

Juncai Pu is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence and Atmospheric Science. According to data from OpenAlex, Juncai Pu has authored 14 papers receiving a total of 407 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Statistical and Nonlinear Physics, 5 papers in Artificial Intelligence and 4 papers in Atmospheric Science. Recurrent topics in Juncai Pu’s work include Model Reduction and Neural Networks (7 papers), Nonlinear Waves and Solitons (7 papers) and Nonlinear Photonic Systems (5 papers). Juncai Pu is often cited by papers focused on Model Reduction and Neural Networks (7 papers), Nonlinear Waves and Solitons (7 papers) and Nonlinear Photonic Systems (5 papers). Juncai Pu collaborates with scholars based in China. Juncai Pu's co-authors include Yong Chen, Jun Li, Wei‐Qi Peng, Hengchun Hu and Huijuan Zhou and has published in prestigious journals such as Journal of Computational Physics, Physica D Nonlinear Phenomena and Journal of Mathematical Physics.

In The Last Decade

Co-authorship network of co-authors of Juncai Pu i

Fields of papers citing papers by Juncai Pu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Juncai Pu

Since Specialization
Citations

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