Bin Wu

4.5k citations
123 papers · 3.6k indexed · 1 hit paper · h-index 36

Impact in

Papers in

Bin Wu

114 papers receiving 3.5k citations

Hit Papers

Evaluation of the biocompatibility of a chitosan scaffold in mice 2001 · 584 citations
5842001202620092017100200300400500

Peers

Bin Wu
Comparison fields: 5 of 141
  • Biomaterials 943
  • Biomedical Engineering 1.3k
  • Molecular Medicine 118
  • Urology 152
  • Surfaces, Coatings and Films 162
Replace Gamze Torun Köse with:
Gamze Torun Köse Türkiye
Jan‐Thorsten Schantz Singapore
Jinwu Wang China
Yonggang Lv China
Xiao Yang China
Karen J. L. Burg United States
Jincheng Tang China
Zigang Ge China
Antonios G. Mikos United States
Anna Finne‐Wistrand Sweden
Bin Wu relative to Gamze Torun Köse Türkiye Gamze Torun Köse's profile →
Citations per field
00.5×5.5×
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-authorship network

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
#Work
1 20250
2 20251
3 20251
4 20242
5 20241
6 20241
7 20240
8 20241
9 20232
10 20223
11 202115
12 202063
13 20208
14 201829
15 201740
16 20135
17 20108
18 200813
19 200814
20 200652

About Bin Wu

Bin Wu is a scholar working on Biomaterials, Rehabilitation, General Energy, Biomedical Engineering and Surgery, having authored 123 papers that have together received 3.6k indexed citations. Recurring topics across this work include Bone Tissue Engineering Materials (31 papers), Electronic Packaging and Soldering Technologies (26 papers), Orthopaedic implants and arthroplasty (21 papers), 3D IC and TSV technologies (20 papers), Electrospun Nanofibers in Biomedical Applications (19 papers), 3D Printing in Biomedical Research (14 papers), Orthopedic Infections and Treatments (11 papers) and Tissue Engineering and Regenerative Medicine (8 papers). The work is most often cited by research in Biomaterials (943 citations), Biomedical Engineering (1.3k citations), Molecular Medicine (118 citations), Urology (152 citations) and Surfaces, Coatings and Films (162 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, Y.C. Chan, Howard W.T. Matthew, Stephen P. DeSilva, M.O. Alam, Xianglin Zhang, Xiaodong Guo 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 Materials Science and Engineering C.

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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