Jun Mou

148 papers and 3.7k indexed citations i.

About

Jun Mou is a scholar working on Statistical and Nonlinear Physics, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Jun Mou has authored 148 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 81 papers in Statistical and Nonlinear Physics, 64 papers in Computer Vision and Pattern Recognition and 51 papers in Electrical and Electronic Engineering. Recurrent topics in Jun Mou’s work include Chaos-based Image/Signal Encryption (63 papers), Chaos control and synchronization (51 papers) and Advanced Memory and Neural Computing (51 papers). Jun Mou is often cited by papers focused on Chaos-based Image/Signal Encryption (63 papers), Chaos control and synchronization (51 papers) and Advanced Memory and Neural Computing (51 papers). Jun Mou collaborates with scholars based in China, Italy and Saudi Arabia. Jun Mou's co-authors include Yinghong Cao, Santo Banerjee, Feifei Yang, Huizhen Yan, Chenguang Ma, Li Xiong, Tianming Liu, Yushu Zhang, Hadi Jahanshahi and Yuwen Sha and has published in prestigious journals such as Scientific Reports, Journal of Medicinal Chemistry and IEEE Transactions on Industrial Electronics.

In The Last Decade

Co-authorship network of co-authors of Jun Mou i

Fields of papers citing papers by Jun Mou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jun Mou

Since Specialization
Citations

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