Long Bi

68 papers and 2.1k indexed citations i.

About

Long Bi is a scholar working on Biomedical Engineering, Surgery and Molecular Biology. According to data from OpenAlex, Long Bi has authored 68 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Biomedical Engineering, 19 papers in Surgery and 10 papers in Molecular Biology. Recurrent topics in Long Bi’s work include Bone Tissue Engineering Materials (36 papers), Graphene and Nanomaterials Applications (10 papers) and Periodontal Regeneration and Treatments (9 papers). Long Bi is often cited by papers focused on Bone Tissue Engineering Materials (36 papers), Graphene and Nanomaterials Applications (10 papers) and Periodontal Regeneration and Treatments (9 papers). Long Bi collaborates with scholars based in China, United States and United Kingdom. Long Bi's co-authors include Guoxian Pei, Yisheng Han, Yue Song, Junjun Fan, Yunyu Hu, Junqin Li, Kaifeng Lin, Hongbin Fan, Yi Gao and Xing Lei and has published in prestigious journals such as Journal of Biological Chemistry, Biomaterials and Journal of Agricultural and Food Chemistry.

In The Last Decade

Co-authorship network of co-authors of Long Bi i

Fields of papers citing papers by Long Bi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Long Bi

Since Specialization
Citations

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