Bin Wu

4.7k citations
130 papers · 4.0k · h-index 37

Impact in

Papers in

Bin Wu

122 papers receiving 3.9k citations

Peers

Bin Wu
Comparison fields: 5 of 140
  • Biomaterials 1.0k
  • Biomedical Engineering 1.4k
  • Urology 148
  • Molecular Medicine 129
  • Rehabilitation 152
Replace Gamze Torun Köse with:
Gamze Torun Köse Türkiye
Jincheng Tang China
Jinwu Wang China
Yonggang Lv China
Xiao Wei Yang China
Xufeng Niu China
Jan‐Thorsten Schantz Singapore
Zhen Geng China
Zigang Ge China
Binbin Sun China
Bin Wu relative to Gamze Torun Köse Türkiye Gamze Torun Köse's profile →
Citations per field
00.5×1.5×2×2.4×
Gamze Torun Köse · 1×
Citations per year

Countries citing papers authored by Bin Wu

Since Specialization
Citations

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

Fields of papers citing papers by Bin Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Bin Wu, 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 Bin Wu Line = papers co-authored together Bin Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 130 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001650
2 2021138
3 2005110
4 2007106
5 202384
6 200881
7 201881
8 200379
9 200276
10 202073
11 202172
12 200871
13 202070
14 202068
15 202167
16 200567
17 200766
18 201966
19 201258
20 201457

About Bin Wu

Bin Wu is a scholar working on Biomaterials, Biomedical Engineering, Surgery, Electrical and Electronic Engineering and Mechanical Engineering, having authored 130 papers that have together received 4.0k indexed citations. Recurring topics across this work include Bone Tissue Engineering Materials (31 papers), Electronic Packaging and Soldering Technologies (26 papers), 3D IC and TSV technologies (20 papers), Electrospun Nanofibers in Biomedical Applications (19 papers), Orthopaedic implants and arthroplasty (18 papers), 3D Printing in Biomedical Research (15 papers), Tissue Engineering and Regenerative Medicine (9 papers) and Advanced Welding Techniques Analysis (8 papers). The work is most often cited by research in Biomaterials (1.0k citations), Biomedical Engineering (1.4k citations), Urology (148 citations), Molecular Medicine (129 citations) and Rehabilitation (152 citations). Bin Wu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Paul H. Wooley, Lois Mayton, Pamela J. VandeVord, Howard W.T. Matthew, Y.C. Chan, Stephen P. DeSilva, M.O. Alam, Xiaodong Guo, Xianglin Zhang and Qixin Zheng. Their work appears in journals such as Journal of Orthopaedic Research®, Journal of Biomedical Materials Research Part A, Journal of Alloys and Compounds, Journal of materials research/Pratt's guide to venture capital sources and Polymers.

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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