Fang Jin

717 total citations
77 papers, 539 citations indexed

About

Fang Jin is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, Fang Jin has authored 77 papers receiving a total of 539 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Electrical and Electronic Engineering, 35 papers in Atomic and Molecular Physics, and Optics and 23 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in Fang Jin's work include Magnetic properties of thin films (30 papers), Magnetic Properties and Applications (18 papers) and Advanced Memory and Neural Computing (17 papers). Fang Jin is often cited by papers focused on Magnetic properties of thin films (30 papers), Magnetic Properties and Applications (18 papers) and Advanced Memory and Neural Computing (17 papers). Fang Jin collaborates with scholars based in China, United States and United Kingdom. Fang Jin's co-authors include Kaifeng Dong, Kathleen J. Stebe, Wenqin Mo, R. Balasubramaniam, Chao Sun, Huihui Li, Wen‐Di Li, Weiming Cheng, Yue Zhang and Jun Ouyang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and ACS Applied Materials & Interfaces.

In The Last Decade

Fang Jin

67 papers receiving 523 citations

Peers

Fang Jin
Comparison fields: 5 of 81
  • Electrical and Electronic Engineering 282
  • Atomic and Molecular Physics, and Optics 136
  • Biomedical Engineering 124
  • Electronic, Optical and Magnetic Materials 109
  • Materials Chemistry 104
Replace C. Beitia with:
C. Beitia France
Per Øhlckers Norway
Kestutis Grigoras Finland
Cong Chen China
Guang Yuan China
Simon J. Bleiker Sweden
Lee United States
Wen-Chung Tsai Taiwan
Hui Zhu China
Jonathan Roberts United Kingdom
C. Beitia France View profile →
Citations per field, relative to Fang Jin
Fang Jin · 1×
Citations per year, relative to Fang Jin
Fang Jin · 1×

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).

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.

Co-authorship network of co-authors of Fang Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Fang Jin. A scholar is included among the top collaborators of Fang Jin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Fang Jin. Fang Jin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 2
3 1
4 5
5 6
6 9
7 2
8 0
9 2
10 0
11 2
12 2
13 2
14 3
15 8
16 2
17 4
18 5
19 3
20 4

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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