Ai-Yun Fu

628 total citations
39 papers, 574 citations indexed

About

Ai-Yun Fu is a scholar working on Inorganic Chemistry, Electronic, Optical and Magnetic Materials and Oncology. According to data from OpenAlex, Ai-Yun Fu has authored 39 papers receiving a total of 574 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Inorganic Chemistry, 19 papers in Electronic, Optical and Magnetic Materials and 16 papers in Oncology. Recurrent topics in Ai-Yun Fu's work include Metal-Organic Frameworks: Synthesis and Applications (23 papers), Magnetism in coordination complexes (18 papers) and Metal complexes synthesis and properties (16 papers). Ai-Yun Fu is often cited by papers focused on Metal-Organic Frameworks: Synthesis and Applications (23 papers), Magnetism in coordination complexes (18 papers) and Metal complexes synthesis and properties (16 papers). Ai-Yun Fu collaborates with scholars based in China, Russia and United States. Ai-Yun Fu's co-authors include Yao‐Yu Wang, Qi‐Zhen Shi, Guo‐Ping Yang, Jun‐Cheng Jin, Yanan Zhang, Ping Liu, Xiaonan Gao, Weihong Zhang, Э.Х. Лермонтова and Ruiting Liu and has published in prestigious journals such as Inorganic Chemistry, Dalton Transactions and Materials Science and Engineering C.

In The Last Decade

Ai-Yun Fu

36 papers receiving 564 citations

Peers

Ai-Yun Fu
Comparison fields: 5 of 44
  • Inorganic Chemistry 488
  • Electronic, Optical and Magnetic Materials 325
  • Materials Chemistry 244
  • Oncology 111
  • Organic Chemistry 75
Replace J.P. Garcia-Teran with:
J.P. Garcia-Teran Spain
A.M. Babb United States
Jan L. Wikaira New Zealand
Lilia Croitor Moldova
Erik Steene Norway
O. Osetska Germany
V. Balamurugan India
Pradip Bag India
B. Chansou France
C.L. Painting United Kingdom
J.P. Garcia-Teran Spain View profile →
Citations per field, relative to Ai-Yun Fu
Ai-Yun Fu · 1×
Citations per year, relative to Ai-Yun Fu
Ai-Yun Fu · 1×

Countries citing papers authored by Ai-Yun Fu

Since Specialization
Citations

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

Fields of papers citing papers by Ai-Yun Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ai-Yun Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Ai-Yun Fu. A scholar is included among the top collaborators of Ai-Yun 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 Ai-Yun Fu. Ai-Yun 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
# Work Indexed citations
1 9
2 12
3 0
4 14
5 9
6 17
7 8
8 57
9 58
10 43
11 30
12 0
13 5
14 1
15 1
16 3
17 0
18 2
19 2
20 1

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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2026