Willie Wu

1.8k total citations · 1 hit paper
10 papers, 1.4k citations indexed

About

Willie Wu is a scholar working on Biomedical Engineering, Biomaterials and Polymers and Plastics. According to data from OpenAlex, Willie Wu has authored 10 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Biomedical Engineering, 4 papers in Biomaterials and 3 papers in Polymers and Plastics. Recurrent topics in Willie Wu's work include 3D Printing in Biomedical Research (4 papers), Electrospun Nanofibers in Biomedical Applications (3 papers) and Polymer composites and self-healing (3 papers). Willie Wu is often cited by papers focused on 3D Printing in Biomedical Research (4 papers), Electrospun Nanofibers in Biomedical Applications (3 papers) and Polymer composites and self-healing (3 papers). Willie Wu collaborates with scholars based in United States. Willie Wu's co-authors include Jennifer A. Lewis, Adam DeConinck, Scott R. White, Christopher J. Hansen, Kathleen S. Toohey, Nancy R. Sottos, Philippe H. Geubelle, Alejandro M. Aragón, Fabien Scalzo and Matthew S. Brown and has published in prestigious journals such as Advanced Materials, Biomaterials and Soft Matter.

In The Last Decade

Willie Wu

10 papers receiving 1.4k citations

Hit Papers

Omnidirectional Printing of 3D Microvascular Networks 2011 2026 2016 2021 2011 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Willie Wu United States 8 1.0k 543 275 254 169 10 1.4k
Yifei Jin United States 23 1.2k 1.2× 922 1.7× 152 0.6× 239 0.9× 380 2.2× 74 1.8k
Sara Maria Giannitelli Italy 21 1.2k 1.1× 431 0.8× 120 0.4× 574 2.3× 158 0.9× 41 1.9k
Alfredo Ronca Italy 20 956 0.9× 473 0.9× 88 0.3× 385 1.5× 197 1.2× 47 1.4k
Stefan Baudis Austria 22 856 0.8× 459 0.8× 229 0.8× 497 2.0× 104 0.6× 73 1.7k
Luyu Zhou China 11 1.2k 1.2× 640 1.2× 228 0.8× 209 0.8× 341 2.0× 14 1.6k
Saeed Akbari Iran 15 536 0.5× 286 0.5× 181 0.7× 184 0.7× 507 3.0× 38 1.2k
W.L. Cheung Hong Kong 19 1.1k 1.0× 756 1.4× 499 1.8× 637 2.5× 314 1.9× 43 2.0k
Nathan J. Castro United States 25 1.9k 1.9× 938 1.7× 332 1.2× 652 2.6× 459 2.7× 49 2.7k
Liya Zhu China 23 1.2k 1.2× 500 0.9× 98 0.4× 203 0.8× 401 2.4× 41 1.9k

Countries citing papers authored by Willie Wu

Since Specialization
Citations

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

Fields of papers citing papers by Willie Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Willie Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Willie Wu. A scholar is included among the top collaborators of Willie Wu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Willie Wu. Willie Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Coy, Heidi, Kevin Li‐Chun Hsieh, Willie Wu, et al.. (2019). Deep learning and radiomics: the utility of Google TensorFlow™ Inception in classifying clear cell renal cell carcinoma and oncocytoma on multiphasic CT. Abdominal Radiology. 44(6). 2009–2020. 76 indexed citations
2.
Linsley, Chase S., et al.. (2018). Photocurable Bioinks for the 3D Pharming of Combination Therapies. Polymers. 10(12). 1372–1372. 23 indexed citations
3.
Wu, Willie, Adam DeConinck, & Jennifer A. Lewis. (2011). Omnidirectional Printing of 3D Microvascular Networks. Advanced Materials. 23(24). H178–83. 652 indexed citations breakdown →
4.
Wu, Willie, Adam DeConinck, & Jennifer A. Lewis. (2011). Printing Microvascular Networks: Omnidirectional Printing of 3D Microvascular Networks (Adv. Mater. 24/2011). Advanced Materials. 23(24). 22 indexed citations
5.
Wu, Willie. (2010). Direct ink writing of microvascular networks. Illinois Digital Environment for Access to Learning and Scholarship (University of Illinois at Urbana-Champaign). 2 indexed citations
6.
Wu, Willie, Christopher J. Hansen, Alejandro M. Aragón, et al.. (2009). Direct-write assembly of biomimetic microvascular networks for efficient fluid transport. Soft Matter. 6(4). 739–742. 100 indexed citations
7.
Hansen, Christopher J., Willie Wu, Kathleen S. Toohey, et al.. (2009). Self‐Healing Materials with Interpenetrating Microvascular Networks. Advanced Materials. 21(41). 4143–4147. 332 indexed citations
8.
Aragón, Alejandro M., Christopher J. Hansen, Willie Wu, et al.. (2007). Computational design and optimization of a biomimetic self-healing/cooling composite material. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6526. 65261G–65261G. 15 indexed citations
9.
Wu, Willie, et al.. (2005). Concentrated hydroxyapatite inks for direct-write assembly of 3-D periodic scaffolds. Biomaterials. 26(28). 5632–5639. 206 indexed citations
10.
Chen, Tom & Willie Wu. (2001). <title>Multiprotocol lambda switching for IP over optical networks</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 4211. 165–172. 2 indexed citations

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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