Fukai Shan
- Materials Chemistry top 1%
- Electrical and Electronic Engineering top 1%
- Electronic, Optical and Magnetic Materials top 2%
- Biomedical Engineering top 5%
- Polymers and Plastics top 2%
- Co-authors
- Byoungchul ShinAo LiuYun Seop YuYou MengRodrigo MartinsElvira FortunatoHuihui ZhuZidong Guo
- Topics
- ZnO doping and properties (71 papers)Thin-Film Transistor Technologies (43 papers)Advanced Memory and Neural Computing (30 papers)
- Cited by
- Materials ChemistryElectrical and Electronic EngineeringElectronic, Optical and Magnetic Materials
- Partner nations
- ChinaSouth KoreaPortugal
In The Last Decade
Fukai Shan
135 papers receiving 5.1k citations
Peers
Comparison fields: 5 of 80
- Materials Chemistry 3.7k
- Electrical and Electronic Engineering 3.7k
- Electronic, Optical and Magnetic Materials 1.2k
- Biomedical Engineering 821
- Polymers and Plastics 759
Countries citing papers authored by Fukai Shan
This map shows the geographic impact of Fukai Shan'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 Fukai Shan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fukai Shan more than expected).
Fields of papers citing papers by Fukai Shan
This network shows the impact of papers produced by Fukai Shan. 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 Fukai Shan. The network helps show where Fukai Shan may publish in the future.
Co-authorship network of co-authors of Fukai Shan
This figure shows the co-authorship network connecting the top 25 collaborators of Fukai Shan. A scholar is included among the top collaborators of Fukai Shan 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 Fukai Shan. Fukai Shan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 5 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 4 | |
| 8 | 9 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 86 | |
| 12 | 43 | |
| 13 | 11 | |
| 14 | 162 | |
| 15 | 12 | |
| 16 | 7 | |
| 17 | Spectroscopic ellipsometry characterization of Al-doped ZnO thin films deposited by pulsed laser deposition | 16 |
| 18 | Epitaxial Growth and Optimization of ZnO Films by Pulsed Laser Deposition | 2 |
| 19 | Structural Properties of Zinc Oxide Thin Films by Fabrication Conditions in Pulsed Laser Deposition | 2 |
| 20 | Characterizations of Al doped Zinc Oxide Thin Films Fabricated by Pulsed Laser Deposition | 8 |
About Fukai Shan
Fukai Shan is a scholar working on Polymers and Plastics, Materials Chemistry and Electrical and Electronic Engineering, having authored 139 papers that have together received 5.2k indexed citations. Recurring topics across this work include ZnO doping and properties (71 papers), Thin-Film Transistor Technologies (43 papers) and Advanced Memory and Neural Computing (30 papers). The work is most often cited by research in Materials Chemistry (3.7k citations), Electrical and Electronic Engineering (3.7k citations) and Electronic, Optical and Magnetic Materials (1.2k citations). Fukai Shan has collaborated with scholars based in China, South Korea and Portugal. Frequent co-authors include Byoungchul Shin, Ao Liu, Yun Seop Yu, You Meng, Rodrigo Martins, Elvira Fortunato, Huihui Zhu, Zidong Guo, Daiming Liu and Chengchao Jin. Their work appears in journals such as Chemical Society Reviews, Advanced Materials and Nano Letters.
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.