Fang‐Yu Fu

20 total papers · 1.2k total citations
16 papers, 1.1k citations indexed

About

Fang‐Yu Fu is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Fang‐Yu Fu has authored 16 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Materials Chemistry, 11 papers in Electrical and Electronic Engineering and 8 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Fang‐Yu Fu's work include Advanced Photocatalysis Techniques (8 papers), Perovskite Materials and Applications (6 papers) and 2D Materials and Applications (4 papers). Fang‐Yu Fu is often cited by papers focused on Advanced Photocatalysis Techniques (8 papers), Perovskite Materials and Applications (6 papers) and 2D Materials and Applications (4 papers). Fang‐Yu Fu collaborates with scholars based in Taiwan, Egypt and India. Fang‐Yu Fu's co-authors include Li–Chyong Chen, Kuei‐Hsien Chen, Indrajit Shown, Po‐Wen Chung, Wei‐Fu Chen, Amr Sabbah, Chih‐I Wu, P. Raghunath, Satyanarayana Samireddi and Tsyr‐Yan Yu and has published in prestigious journals such as Nature Communications, Advanced Functional Materials and The Journal of Physical Chemistry C.

In The Last Decade

Fang‐Yu Fu

16 papers receiving 1.0k citations

Hit Papers

Carbon-doped SnS2 nanostr... 2018 2026 2020 2023 2018 100 200 300 400

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Fang‐Yu Fu 786 729 502 77 52 16 1.1k
Balavinayagam Ramalingam 729 0.9× 734 1.0× 287 0.6× 74 1.0× 53 1.0× 14 992
Ehsan Vahidzadeh 905 1.2× 881 1.2× 438 0.9× 117 1.5× 87 1.7× 18 1.2k
Somik Mukherjee 727 0.9× 709 1.0× 261 0.5× 82 1.1× 67 1.3× 16 972
Tianou He 947 1.2× 625 0.9× 539 1.1× 112 1.5× 48 0.9× 17 1.2k
Sang Min Ji 1.1k 1.5× 1.0k 1.4× 449 0.9× 132 1.7× 45 0.9× 18 1.4k
Woo-Jin An 734 0.9× 715 1.0× 188 0.4× 57 0.7× 55 1.1× 14 925
Theo Suter 666 0.8× 617 0.8× 492 1.0× 91 1.2× 74 1.4× 22 957
Jinbo Pan 1.1k 1.4× 946 1.3× 533 1.1× 66 0.9× 56 1.1× 24 1.3k
Juhong Lian 841 1.1× 649 0.9× 331 0.7× 53 0.7× 39 0.8× 22 946
Yun Kyung Jo 620 0.8× 687 0.9× 303 0.6× 152 2.0× 58 1.1× 23 913

Countries citing papers authored by Fang‐Yu Fu

Since Specialization
Citations

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

Fields of papers citing papers by Fang‐Yu Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fang‐Yu Fu

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

All Works

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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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