Long Bi

2.8k citations
70 papers · 2.4k · h-index 26

Impact in

  • Urology top 1%
    • Periodontal Regeneration and Treatments
    • Electrospun Nanofibers in Biomedical Applications

Papers in

    • Bone Tissue Engineering Materials 32
    • Graphene and Nanomaterials Applications 10
    • 3D Printing in Biomedical Research 5
    • Orthopaedic implants and arthroplasty 6

Long Bi

68 papers receiving 2.4k citations

Peers

Long Bi
Comparison fields: 5 of 123
  • Urology 232
  • Biomaterials 504
  • Biomedical Engineering 1.2k
  • Orthopedics and Sports Medicine 164
  • Oral Surgery 128
Replace Fei Xing with:
Fei Xing China
Petek Korkusuz Türkiye
Zhidao Xia United Kingdom
Chih‐Kuang Wang Taiwan
Yan Xu China
Sunny Akogwu Abbah Ireland
Yuanjin Xu China
Mark E. Wong United States
Kai‐Chiang Yang Taiwan
Livia Roseti Italy
Long Bi relative to Fei Xing China Fei Xing's profile →
Citations per field
00.5×2×4×6×8×9×
Fei Xing · 1×
Citations per year

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).

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.

Co-authors

The 25 scholars most cited alongside Long Bi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Long Bi Line = papers co-authored together Long Bi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010198
2 2020194
3 2013162
4 2016154
5 2016122
6 2010109
7 201797
8 201192
9 202086
10 200885
11 202183
12 201871
13 201867
14 201361
15 202059
16 201451
17 202248
18 201447
19 201144
20 202139

About Long Bi

Long Bi is a scholar working on Biomedical Engineering, Surgery, Molecular Biology, Biomaterials and Urology, having authored 70 papers that have together received 2.4k indexed citations. Recurring topics across this work include Bone Tissue Engineering Materials (32 papers), Graphene and Nanomaterials Applications (10 papers), Periodontal Regeneration and Treatments (8 papers), Bone Metabolism and Diseases (6 papers), Orthopaedic implants and arthroplasty (6 papers), Electrospun Nanofibers in Biomedical Applications (5 papers), 3D Printing in Biomedical Research (5 papers) and Mesenchymal stem cell research (4 papers). The work is most often cited by research in Urology (232 citations), Biomaterials (504 citations), Biomedical Engineering (1.2k citations), Orthopedics and Sports Medicine (164 citations) and Oral Surgery (128 citations). Long Bi has collaborated with scholars based in China, United Kingdom and Canada. Frequent co-authors include Guoxian Pei, Yue Song, Yisheng Han, Junjun Fan, Kaifeng Lin, Junqin Li, Yi Gao, Yunyu Hu, Hongbin Fan and Xing Lei. Their work appears in journals such as BioMed Research International, International Journal of Nanomedicine, Biochemical and Biophysical Research Communications, ACS Applied Materials & Interfaces and Materials Letters.

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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