Fan Jin

784 citations
7 papers · 640 indexed · 1 hit paper · h-index 4
Topics
Advanced Steganography and Watermarking Techniques (2 papers)Surface Modification and Superhydrophobicity (2 papers)Chaos-based Image/Signal Encryption (2 papers)
Partner nations
China

In The Last Decade

Fan Jin

7 papers receiving 627 citations

Hit Papers

2D Logistic-Sine-coupling map for image encryption20182026202020232018100200300400

Peers

Fan Jin
Comparison fields: 5 of 35
  • Computer Vision and Pattern Recognition 594
  • Computational Theory and Mathematics 143
  • Artificial Intelligence 140
  • Mathematical Physics 132
  • Statistical and Nonlinear Physics 88
Replace Kunshu Wang with:
Kunshu Wang China
Pengbo Liu China
Chunhu Li China
Yuanlong Cai China
Yining Su China
Xingbin Liu China
Baoxiang Du China
Liya Zhu China
Yurong Wang China
Fan Jin relative to Kunshu Wang China Kunshu Wang's profile →
Citations per field
00.5×1.5×2.4×
Kunshu Wang · 1×
Citations per year

Countries citing papers authored by Fan Jin

Since Specialization
Citations

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

Fields of papers citing papers by Fan Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fan Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Fan Jin. A scholar is included among the top collaborators of Fan 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 Fan Jin. Fan Jin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
#WorkIndexed citations
1 2
2 1
3 18
4 5
5 135
6
2D Logistic-Sine-coupling map for image encryptionbreakdown →
478
7
Analysis of key technologies of information in precise-guidance weapons
1

About Fan Jin

Fan Jin is a scholar working on Surfaces, Coatings and Films, Instrumentation and Computational Theory and Mathematics, having authored 7 papers that have together received 640 indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (2 papers), Surface Modification and Superhydrophobicity (2 papers) and Chaos-based Image/Signal Encryption (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (594 citations), Mathematical Physics (132 citations) and Computational Theory and Mathematics (143 citations). Fan Jin has collaborated with scholars based in China. Frequent co-authors include Hejiao Huang, Zhongyun Hua, Hua Lai, Yufen Li, Zhongjun Cheng, Yuyan Liu, Ruijie Wang, Zhongjun Cheng, Bing Jia and Xiaoyan Yu. Their work appears in journals such as Advanced Functional Materials, ACS Applied Materials & Interfaces and IEEE Access.

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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