Long Bai
Impact in
- Biomaterials top 2%
- Electrospun Nanofibers in Biomedical Applications
- Biomedical Engineering top 1%
- Bone Tissue Engineering Materials
- 3D Printing in Biomedical Research
- Graphene and Nanomaterials Applications
Papers in
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- Bone Tissue Engineering Materials 36
- 3D Printing in Biomedical Research 21
- Nanoplatforms for cancer theranostics 9
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- Extracellular vesicles in disease 11
- Co-authors
- Ruiqiang Hang (45 shared papers)Jiacan Su (48 shared papers)Paul K. Chu (14 shared papers)Ang Gao (12 shared papers)Xiaohong Yao (21 shared papers)Bin Tang (10 shared papers)Xiangyu Zhang (17 shared papers)Yin Xiao (13 shared papers)
In The Last Decade
Long Bai
99 papers receiving 3.2k citations
Long Bai's Hit Papers
Peers
Comparison fields: 5 of 149
- Biomaterials 550
- Biomedical Engineering 1.7k
- Health Informatics 41
- Surfaces, Coatings and Films 190
- Orthodontics 99
Countries citing papers authored by Long Bai
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).
Fields of papers citing papers by Long Bai
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.
Co-authors
The 25 scholars most cited alongside Long Bai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 107 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 236 | |
| 2 | 2018 | 194 | |
| 3 | 2021 | 152 | |
| 4 | 2018 | 116 | |
| 5 | 2023 | 110 | |
| 6 | 2020 | 107 | |
| 7 | Engineering Large‐Scale Self‐Mineralizing Bone Organoids with Bone Matrix‐Inspired Hydroxyapatite Hybrid Bioinks Hit paper breakdown → | 2024 | 106 |
| 8 | AI energized hydrogel design, optimization and application in biomedicine Hit paper breakdown → | 2024 | 92 |
| 9 | 2017 | 89 | |
| 10 | 2016 | 86 | |
| 11 | 2022 | 82 | |
| 12 | 2020 | 78 | |
| 13 | 2016 | 72 | |
| 14 | 2023 | 69 | |
| 15 | 2023 | 64 | |
| 16 | 2016 | 58 | |
| 17 | 2014 | 57 | |
| 18 | 2015 | 57 | |
| 19 | 2023 | 55 | |
| 20 | 2015 | 52 |
About Long Bai
Long Bai is a scholar working on Biomedical Engineering, Molecular Biology, Surgery, Materials Chemistry and Biomaterials, having authored 107 papers that have together received 3.2k indexed citations. Recurring topics across this work include Bone Tissue Engineering Materials (36 papers), 3D Printing in Biomedical Research (21 papers), Extracellular vesicles in disease (11 papers), Nanoplatforms for cancer theranostics (9 papers), Conducting polymers and applications (9 papers), Electrospun Nanofibers in Biomedical Applications (9 papers), Orthopaedic implants and arthroplasty (9 papers) and Tissue Engineering and Regenerative Medicine (8 papers). The work is most often cited by research in Biomaterials (550 citations), Biomedical Engineering (1.7k citations), Health Informatics (41 citations), Surfaces, Coatings and Films (190 citations) and Orthodontics (99 citations). Long Bai has collaborated with scholars based in China, Hong Kong and Australia. Frequent co-authors include Ruiqiang Hang, Jiacan Su, Paul K. Chu, Ang Gao, Xiaohong Yao, Bin Tang, Xiangyu Zhang, Yin Xiao, Yanlian Liu and Guangfeng Li. Their work appears in journals such as Materials Science and Engineering C, Biomaterials, Advanced Materials, Bioactive Materials and Chemical Engineering Journal.
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.