Fangying Dai

15 papers and 1.2k indexed citations i.

About

Fangying Dai is a scholar working on Biomaterials, Rehabilitation and Materials Chemistry. According to data from OpenAlex, Fangying Dai has authored 15 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Biomaterials, 8 papers in Rehabilitation and 3 papers in Materials Chemistry. Recurrent topics in Fangying Dai’s work include Wound Healing and Treatments (8 papers), Silk-based biomaterials and applications (5 papers) and Hemostasis and retained surgical items (3 papers). Fangying Dai is often cited by papers focused on Wound Healing and Treatments (8 papers), Silk-based biomaterials and applications (5 papers) and Hemostasis and retained surgical items (3 papers). Fangying Dai collaborates with scholars based in China. Fangying Dai's co-authors include Bitao Lu, Guangqian Lan, Fei Lu, Kun Yu, Dayang Wu, Kun Yu, Jiawei Liu, Junwen Cheng, Xiao Yang and Honglei Chen and has published in prestigious journals such as Scientific Reports, Carbohydrate Polymers and Biomacromolecules.

In The Last Decade

Co-authorship network of co-authors of Fangying Dai i

Fields of papers citing papers by Fangying Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Fangying Dai

Since Specialization
Citations

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