Long Bai

91 papers and 2.5k indexed citations i.

About

Long Bai is a scholar working on Biomedical Engineering, Molecular Biology and Materials Chemistry. According to data from OpenAlex, Long Bai has authored 91 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Biomedical Engineering, 20 papers in Molecular Biology and 18 papers in Materials Chemistry. Recurrent topics in Long Bai’s work include Bone Tissue Engineering Materials (33 papers), 3D Printing in Biomedical Research (15 papers) and Electrospun Nanofibers in Biomedical Applications (9 papers). Long Bai is often cited by papers focused on Bone Tissue Engineering Materials (33 papers), 3D Printing in Biomedical Research (15 papers) and Electrospun Nanofibers in Biomedical Applications (9 papers). Long Bai collaborates with scholars based in China, Hong Kong and Australia. Long Bai's co-authors include Ruiqiang Hang, Paul K. Chu, Ang Gao, Xiangyu Zhang, Bin Tang, Xiaohong Yao, Yanlian Liu, Yin Xiao, Jiacan Su and Xiaobo Huang and has published in prestigious journals such as Advanced Materials, ACS Nano and Biomaterials.

In The Last Decade

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

Fields of papers citing papers by Long Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Long Bai

Since Specialization
Citations

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