V. Chu

293 papers receiving 4.3k citations

Peers

V. Chu
Comparison fields: 5 of 129
  • Filtration and Separation 125
  • Bioengineering 269
  • Electrical and Electronic Engineering 2.4k
  • Biomedical Engineering 1.8k
  • Materials Chemistry 1.5k
Replace J. P. Conde with:
J. P. Conde Portugal
Andrew Glidle United Kingdom
Masahiko Hashimoto Japan
Teodor Veres Canada
Adam T. Woolley United States
Qiao Lin United States
Andrea Alessandrini Italy
Ryuji Kawano Japan
Gang-yu Liu United States
Alexander M. Bittner Germany
V. Chu relative to J. P. Conde Portugal J. P. Conde's profile →
Citations per field
00.5×1.5×
J. P. Conde · 1×
Citations per year

Countries citing papers authored by V. Chu

Since Specialization
Citations

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

Fields of papers citing papers by V. Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 304 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1987152
2 1986129
3 1999113
4 200880
5 201266
6 199965
7 201563
8 201263
9 201160
10 201758
11 200556
12 199551
13 201248
14 200248
15 199647
16 200447
17 201645
18 201544
19 201643
20 201443

About V. Chu

V. Chu is a scholar working on Filtration and Separation, Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics, Biomedical Engineering and Materials Chemistry, having authored 304 papers that have together received 4.5k indexed citations. Recurring topics across this work include Thin-Film Transistor Technologies (115 papers), Silicon Nanostructures and Photoluminescence (80 papers), Microfluidic and Capillary Electrophoresis Applications (60 papers), Advanced MEMS and NEMS Technologies (58 papers), Mechanical and Optical Resonators (54 papers), Silicon and Solar Cell Technologies (54 papers), Biosensors and Analytical Detection (33 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (25 papers). The work is most often cited by research in Filtration and Separation (125 citations), Bioengineering (269 citations), Electrical and Electronic Engineering (2.4k citations), Biomedical Engineering (1.8k citations) and Materials Chemistry (1.5k citations). V. Chu has collaborated with scholars based in Portugal, United States and Germany. Frequent co-authors include J. P. Conde, D.M.F. Prazeres, Ruben R. G. Soares, Pedro Alpuim, M. Raquel Aires‐Barros, J. Gaspar, S. Wagner, Ana M. Azevedo, Pedro Novo and S. Aljishi. Their work appears in journals such as Journal of Applied Physics, Journal of Non-Crystalline Solids, Applied Physics Letters, Sensors and Actuators B Chemical and Journal of Micromechanics and Microengineering.

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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