Fang Jin

58 papers and 442 indexed citations i.

About

Fang Jin is a scholar working on Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, Fang Jin has authored 58 papers receiving a total of 442 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Atomic and Molecular Physics, and Optics, 29 papers in Electrical and Electronic Engineering and 20 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in Fang Jin’s work include Magnetic properties of thin films (28 papers), Advanced Memory and Neural Computing (16 papers) and Magnetic Properties and Applications (15 papers). Fang Jin is often cited by papers focused on Magnetic properties of thin films (28 papers), Advanced Memory and Neural Computing (16 papers) and Magnetic Properties and Applications (15 papers). Fang Jin collaborates with scholars based in China, United States and United Kingdom. Fang Jin's co-authors include Kathleen J. Stebe, Kaifeng Dong, Wenqin Mo, R. Balasubramaniam, Chao Sun, Weiming Cheng, Yue Zhang, Wen‐Di Li, Huihui Li and Shi Chen and has published in prestigious journals such as Applied Physics Letters, ACS Applied Materials & Interfaces and Nanoscale.

In The Last Decade

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

Fields of papers citing papers by Fang Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Fang Jin

Since Specialization
Citations

This map shows the geographic impact of Fang Jin'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 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 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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