Keng‐Yen Fu

23 total papers · 452 total citations
18 papers, 353 citations indexed

About

Keng‐Yen Fu is a scholar working on Rehabilitation, Molecular Biology and Surgery. According to data from OpenAlex, Keng‐Yen Fu has authored 18 papers receiving a total of 353 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Rehabilitation, 5 papers in Molecular Biology and 4 papers in Surgery. Recurrent topics in Keng‐Yen Fu's work include Wound Healing and Treatments (6 papers), Electrospun Nanofibers in Biomedical Applications (4 papers) and Periodontal Regeneration and Treatments (3 papers). Keng‐Yen Fu is often cited by papers focused on Wound Healing and Treatments (6 papers), Electrospun Nanofibers in Biomedical Applications (4 papers) and Periodontal Regeneration and Treatments (3 papers). Keng‐Yen Fu collaborates with scholars based in Taiwan, Australia and Japan. Keng‐Yen Fu's co-authors include Lien‐Guo Dai, Shan‐hui Hsu, Niann‐Tzyy Dai, Shuhua Wang, Jeng‐Rung Chen, Ching‐Lin Tsai, Hsiang‐Jung Tseng, Ing‐Ming Chiu, Hsin‐I Chang and Yi-Wen Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Advanced Drug Delivery Reviews and Environmental Science and Pollution Research.

In The Last Decade

Keng‐Yen Fu

18 papers receiving 340 citations

Author Peers

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

Author Last Decade Papers Cites
Keng‐Yen Fu 122 109 83 61 54 18 353
Eugenia Pugliese 70 0.6× 84 0.8× 72 0.9× 58 1.0× 39 0.7× 15 302
Tuba Bedir 130 1.1× 54 0.5× 168 2.0× 37 0.6× 56 1.0× 16 332
Tingting Weng 112 0.9× 59 0.5× 103 1.2× 20 0.3× 18 0.3× 9 400
Chiara Gomiero 81 0.7× 57 0.5× 43 0.5× 49 0.8× 27 0.5× 20 376
Wenlu Jiang 101 0.8× 33 0.3× 120 1.4× 59 1.0× 19 0.4× 17 386
Seyed Mohammad Amin Haramshahi 166 1.4× 71 0.7× 119 1.4× 42 0.7× 28 0.5× 22 344
Zohreh Arabpour 177 1.5× 81 0.7× 127 1.5× 60 1.0× 29 0.5× 24 367
Yasuhiro Ikegami 140 1.1× 58 0.5× 99 1.2× 86 1.4× 56 1.0× 23 384
Shuyi He 185 1.5× 111 1.0× 116 1.4× 117 1.9× 14 0.3× 12 398
N Paul 67 0.5× 41 0.4× 133 1.6× 112 1.8× 16 0.3× 17 367

Countries citing papers authored by Keng‐Yen Fu

Since Specialization
Citations

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

Fields of papers citing papers by Keng‐Yen Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keng‐Yen Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Keng‐Yen Fu. A scholar is included among the top collaborators of Keng‐Yen 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 Keng‐Yen Fu. Keng‐Yen 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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