Hai Fu

1.6k citations
57 papers · 1.3k · h-index 19

Impact in

Papers in

    • Innovative Microfluidic and Catalytic Techniques Innovation 17
    • Microfluidic and Capillary Electrophoresis Applications 16
    • Microfluidic and Bio-sensing Technologies 11
    • Electrowetting and Microfluidic Technologies 12
    • Nanomaterials and Printing Technologies 4

Hai Fu

55 papers receiving 1.3k citations

Peers

Hai Fu
Comparison fields: 5 of 98
  • Polymers and Plastics 270
  • Process Chemistry and Technology 50
  • Biomedical Engineering 745
  • Electronic, Optical and Magnetic Materials 317
  • Biomaterials 133
Replace Jiali Wu with:
Jiali Wu China
Georgios Polizos United States
Shiliang Zhang China
Jun Sun China
Baoquan Wan China
Luciano Scaltrito Italy
Wen Zhou China
Zubin Wang China
Yu Cheng China
Ying Han China
Hai Fu relative to Jiali Wu China Jiali Wu's profile →
Citations per field
00.5×4.3×
Jiali Wu · 1×
Citations per year

Countries citing papers authored by Hai Fu

Since Specialization
Citations

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

Fields of papers citing papers by Hai Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019180
2 2013117
3 2020103
4 201377
5 202062
6 201952
7 202346
8 201946
9 202144
10 201940
11 200840
12 201833
13 201830
14 201730
15 201929
16 202028
17 200424
18 202124
19 202018
20 201917

About Hai Fu

Hai Fu is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering, Polymers and Plastics, Mechanical Engineering and Electronic, Optical and Magnetic Materials, having authored 57 papers that have together received 1.3k indexed citations. Recurring topics across this work include Innovative Microfluidic and Catalytic Techniques Innovation (17 papers), Microfluidic and Capillary Electrophoresis Applications (16 papers), Electrowetting and Microfluidic Technologies (12 papers), Microfluidic and Bio-sensing Technologies (11 papers), Polymer Foaming and Composites (9 papers), Nanomaterials and Printing Technologies (4 papers), biodegradable polymer synthesis and properties (4 papers) and Polymer composites and self-healing (4 papers). The work is most often cited by research in Polymers and Plastics (270 citations), Process Chemistry and Technology (50 citations), Biomedical Engineering (745 citations), Electronic, Optical and Magnetic Materials (317 citations) and Biomaterials (133 citations). Hai Fu has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Tony Jun Huang, Wen Zeng, Zhenhua Tian, Hangquan Li, Yuyang Gu, Steven A. Cummer, Chen Shen, Hongfu Zhou, Songjing Li and Zhongjie Du. Their work appears in journals such as Lab on a Chip, Applied Surface Science, ACS Omega, Advanced Functional Materials and Journal of Materials Chemistry A.

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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