Xiao Fu

1.7k citations
51 papers · 1.3k indexed · 2 hit papers · h-index 18
Topics
2D Materials and Applications (21 papers)Advanced Memory and Neural Computing (13 papers)Perovskite Materials and Applications (11 papers)
Journals
Nature CommunicationsSHILAP Revista de lepidopterologíaNano Letters
Partner nations
ChinaSouth KoreaRussia

In The Last Decade

Xiao Fu

47 papers receiving 1.3k citations

Hit Papers

Recent advances in emerging Janus two-dimensional materia...20202026202220242020202350100150200250

Peers

Xiao Fu
Comparison fields: 5 of 92
  • Electrical and Electronic Engineering 846
  • Materials Chemistry 806
  • Biomedical Engineering 151
  • Renewable Energy, Sustainability and the Environment 149
  • Cellular and Molecular Neuroscience 112
Replace Wee Chong Tan with:
Wee Chong Tan Singapore
Sonali Das United States
Jing‐Kai Qin China
Sichao Du China
Pengshan Xie Hong Kong
Xu Jing China
Guanhua Yang China
Shoujun Zheng China
Tanushree H. Choudhury United States
Shania Rehman South Korea
Xiao Fu relative to Wee Chong Tan Singapore Wee Chong Tan's profile →
Citations per field
00.5×2.9×
Wee Chong Tan · 1×
Citations per year

Countries citing papers authored by Xiao Fu

Since Specialization
Citations

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

Fields of papers citing papers by Xiao Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiao Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiao Fu. A scholar is included among the top collaborators of Xiao Fu 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 Xiao Fu. Xiao Fu 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
#WorkIndexed citations
1 0
2 5
3 5
4 0
5 3
6 10
7 1
8 1
9 19
10
Reconfigurable, non-volatile neuromorphic photovoltaicsbreakdown →
133
11 19
12 8
13 51
14
Recent advances in emerging Janus two-dimensional materials: from fundamental physics to device applicationsbreakdown →
290
15 6
16 3
17 7
18 50
19 19
20 83

About Xiao Fu

Xiao Fu is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Bioengineering, having authored 51 papers that have together received 1.3k indexed citations. Recurring topics across this work include 2D Materials and Applications (21 papers), Advanced Memory and Neural Computing (13 papers) and Perovskite Materials and Applications (11 papers). The work is most often cited by research in Materials Chemistry (806 citations), Electrical and Electronic Engineering (846 citations) and Renewable Energy, Sustainability and the Environment (149 citations). Xiao Fu has collaborated with scholars based in China, South Korea and Russia. Frequent co-authors include Tae Won Kang, Ruikun Pan, Lei Zhang, P. Ilanchezhiyan, Han Zhang, Huide Wang, Tian Gong, Zhinan Guo, G. Mohan Kumar and Weida Hu. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología 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.

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