Hongkai Wu

11.5k citations
103 papers · 9.5k indexed · 4 hit papers · h-index 41
Topics
Microfluidic and Capillary Electrophoresis Applications (34 papers)3D Printing in Biomedical Research (30 papers)Innovative Microfluidic and Catalytic Techniques Innovation (27 papers)

In The Last Decade

Hongkai Wu

102 papers receiving 9.3k citations

Hit Papers

Fabrication of microfluidic systems in poly(dimethylsilox...2000202620082017200020132000201350010001.5k2.0k2.5k

Peers

Hongkai Wu
Comparison fields: 5 of 167
  • Biomedical Engineering 7.0k
  • Electrical and Electronic Engineering 2.1k
  • Materials Chemistry 1.3k
  • Molecular Biology 957
  • Biomaterials 938
Replace Roger J. Narayan with:
Roger J. Narayan United States
Philippe Renaud Switzerland
Samuel Sánchez Germany
Nan Jiang China
David H. Gracias United States
Luoran Shang China
Salvador Pané Switzerland
Xuechang Zhou China
Min Liu China
Jae Young Lee South Korea
Hongkai Wu relative to Roger J. Narayan United States Roger J. Narayan's profile →
Citations per field
00.5×1.5×
Roger J. Narayan · 1×
Citations per year

Countries citing papers authored by Hongkai Wu

Since Specialization
Citations

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

Fields of papers citing papers by Hongkai Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongkai Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Hongkai Wu. A scholar is included among the top collaborators of Hongkai 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 Hongkai Wu. Hongkai Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 3
3 16
4 21
5 17
6 12
7 14
8 110
9 61
10 18
11 19
12 22
13 48
14 129
15 29
16 17
17 32
18
SOFT-LITHOGRAPHY-BASED HIGH TEMPERATURE MOLDING METHOD TO FABRICATE WHOLE TEFLON MICROFLUIDIC CHIPS
7
19 40
20 167

About Hongkai Wu

Hongkai Wu is a scholar working on Biomedical Engineering, Molecular Medicine and Biomaterials, having authored 103 papers that have together received 9.5k indexed citations. Recurring topics across this work include Microfluidic and Capillary Electrophoresis Applications (34 papers), 3D Printing in Biomedical Research (30 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (27 papers). The work is most often cited by research in Biomedical Engineering (7.0k citations), Surfaces, Coatings and Films (519 citations) and Biomaterials (938 citations). Hongkai Wu has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include George M. Whitesides, Daniel T. Chiu, Janelle R. Anderson, Haixin Chang, Kangning Ren, Olivier Schueller, David Cameron Duffy, Jianhua Zhou, Xuetao Shi and Richard N. Zare. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Physical Review 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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