Keng‐Yen Fu

18 papers and 322 indexed citations i.

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 322 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Rehabilitation, 6 papers in Molecular Biology and 4 papers in Surgery. Recurrent topics in Keng‐Yen Fu’s work include Wound Healing and Treatments (7 papers), Electrospun Nanofibers in Biomedical Applications (4 papers) and Surgical Sutures and Adhesives (3 papers). Keng‐Yen Fu is often cited by papers focused on Wound Healing and Treatments (7 papers), Electrospun Nanofibers in Biomedical Applications (4 papers) and Surgical Sutures and Adhesives (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, Hsiang‐Jung Tseng, Ching‐Lin Tsai, Shuhua Wang, Ing‐Ming Chiu, Jeng‐Rung Chen, Hsin‐I Chang and Yi-Wen Wang and has published in prestigious journals such as Advanced Drug Delivery Reviews, Environmental Science and Pollution Research and Colloids and Surfaces B Biointerfaces.

In The Last Decade

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

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.

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).

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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2025