Songlin Dai

About

Songlin Dai is a scholar working on Polymers and Plastics, Biomedical Engineering and Biomaterials. According to data from OpenAlex, Songlin Dai has authored 10 papers receiving a total of 360 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Polymers and Plastics, 5 papers in Biomedical Engineering and 4 papers in Biomaterials. Recurrent topics in Songlin Dai’s work include Self-Healing Polymer Materials (6 papers), Lignin and Wood Chemistry (4 papers) and Electrospun Nanofibers in Biomedical Applications (3 papers). Songlin Dai is often cited by papers focused on Self-Healing Polymer Materials (6 papers), Lignin and Wood Chemistry (4 papers) and Electrospun Nanofibers in Biomedical Applications (3 papers). Songlin Dai collaborates with scholars based in China and United States. Songlin Dai's co-authors include Yuxiang Chen, Haibo Zhang, Liangwu Bi, Yazhou Xu, Jianxin Jiang, Jing Wang, Yunfei Shi, Jie Song, Zhao Zhen and Xian Cheng and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Chemical Engineering Journal and Composites Science and Technology.

In The Last Decade

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

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Fields of papers citing papers by Songlin Dai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Songlin Dai

Since Specialization

Citations

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