Fang Jin-Qing

77 papers and 508 indexed citations i.

About

Fang Jin-Qing is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Nuclear and High Energy Physics. According to data from OpenAlex, Fang Jin-Qing has authored 77 papers receiving a total of 508 indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Statistical and Nonlinear Physics, 33 papers in Computer Networks and Communications and 9 papers in Nuclear and High Energy Physics. Recurrent topics in Fang Jin-Qing’s work include Nonlinear Dynamics and Pattern Formation (28 papers), Chaos control and synchronization (24 papers) and Complex Network Analysis Techniques (22 papers). Fang Jin-Qing is often cited by papers focused on Nonlinear Dynamics and Pattern Formation (28 papers), Chaos control and synchronization (24 papers) and Complex Network Analysis Techniques (22 papers). Fang Jin-Qing collaborates with scholars based in China, Hong Kong and Canada. Fang Jin-Qing's co-authors include Guanrong Chen, Luo Xiao-Shu, M. K. Ali, Yiguang Hong, Bing-Hong Wang, Yong Li, Qiang Liu, Rong Zhang, Changpin Li and Yanli Zou and has published in prestigious journals such as Physics Letters A, Physica A Statistical Mechanics and its Applications and Chaos Solitons & Fractals.

In The Last Decade

Co-authorship network of co-authors of Fang Jin-Qing i

Fields of papers citing papers by Fang Jin-Qing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fang Jin-Qing. 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 Fang Jin-Qing. The network helps show where Fang Jin-Qing may publish in the future.

Countries citing papers authored by Fang Jin-Qing

Since Specialization
Citations

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