Fan Ge
Impact in
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- Chaos-based Image/Signal Encryption
- Advanced Steganography and Watermarking Techniques
- Digital Media Forensic Detection
Papers in
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- Analytic Number Theory Research 8
- Advanced Mathematical Identities 4
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- Mathematical Analysis and Transform Methods 7
- Co-authors
- Daomu Zhao (12 shared papers)Linfei Chen (5 shared papers)Xin Chen (4 shared papers)Qing‐An Qiao (1 shared paper)Nanjun Lai (2 shared papers)You Wu (1 shared paper)Shaomin Wang (7 shared papers)Liang Luo (1 shared paper)
- Journals
- Optics Communications (5 papers)Journal of Modern Optics (4 papers)Optics & Laser Technology (2 papers)Journal of Number Theory (2 papers)Optik (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Fan Ge
37 papers receiving 358 citations
Peers
Comparison fields: 5 of 61
- Computer Vision and Pattern Recognition 165
- Acoustics and Ultrasonics 6
- Renewable Energy, Sustainability and the Environment 78
- Algebra and Number Theory 16
- Applied Mathematics 35
Countries citing papers authored by Fan Ge
This map shows the geographic impact of Fan Ge'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 Ge with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fan Ge more than expected).
Fields of papers citing papers by Fan Ge
This network shows the impact of papers produced by Fan Ge. 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 Ge. The network helps show where Fan Ge may publish in the future.
Co-authors
The 25 scholars most cited alongside Fan Ge, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 72 | |
| 2 | 2021 | 43 | |
| 3 | 2008 | 31 | |
| 4 | 2010 | 30 | |
| 5 | 2019 | 25 | |
| 6 | 2014 | 25 | |
| 7 | 2019 | 21 | |
| 8 | 2022 | 17 | |
| 9 | 2019 | 12 | |
| 10 | 2020 | 12 | |
| 11 | 2019 | 10 | |
| 12 | 2004 | 8 | |
| 13 | 2020 | 8 | |
| 14 | 2011 | 6 | |
| 15 | 2001 | 5 | |
| 16 | 2001 | 5 | |
| 17 | 2025 | 4 | |
| 18 | 2016 | 4 | |
| 19 | 2001 | 4 | |
| 20 | 2006 | 4 |
About Fan Ge
Fan Ge is a scholar working on Algebra and Number Theory, Applied Mathematics, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Geometry and Topology, having authored 41 papers that have together received 372 indexed citations. Recurring topics across this work include Analytic Number Theory Research (8 papers), Mathematical Analysis and Transform Methods (7 papers), Advanced Steganography and Watermarking Techniques (5 papers), Chaos-based Image/Signal Encryption (5 papers), Electrocatalysts for Energy Conversion (5 papers), Advanced Mathematical Identities (4 papers), Advancements in Battery Materials (4 papers) and Optical and Acousto-Optic Technologies (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (165 citations), Acoustics and Ultrasonics (6 citations), Renewable Energy, Sustainability and the Environment (78 citations), Algebra and Number Theory (16 citations) and Applied Mathematics (35 citations). Fan Ge has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Daomu Zhao, Linfei Chen, Xin Chen, Qing‐An Qiao, Nanjun Lai, You Wu, Shaomin Wang, Liang Luo, Cheng Hu and Haidan Mao. Their work appears in journals such as Optics Communications, Journal of Modern Optics, Optics & Laser Technology, Journal of Number Theory and Optik.
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.