Naoki Ono

419 citations
43 papers · 300 · h-index 9

Impact in

Papers in

Naoki Ono

36 papers receiving 296 citations

Peers

Naoki Ono
Comparison fields: 5 of 81
  • Automotive Engineering 61
  • Signal Processing 33
  • Computational Mechanics 43
  • Pharmaceutical Science 12
  • Computer Vision and Pattern Recognition 37
Replace Muhammad Faisal with:
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Xingyu Lu China
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Naoki Ono relative to Muhammad Faisal Indonesia Muhammad Faisal's profile →
Citations per field
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Citations per year

Countries citing papers authored by Naoki Ono

Since Specialization
Citations

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

Fields of papers citing papers by Naoki Ono

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201576
2 201750
3 201825
4 201516
5 196416
6 201815
7 201813
8 200912
9 20209
10 20147
11 19886
12 20075
13 20125
14 20155
15 20164
16 20154
17 20213
18 20083
19 20213
20
High-Carbon Alcohol Aqueous Solutions and Their Application to Flow Boiling in Various Mini-Tube Systems(Chapter title)in book "Evaporation, Condensation and Heat transfer"
20112

About Naoki Ono

Naoki Ono is a scholar working on Mechanical Engineering, Computational Mechanics, Computer Vision and Pattern Recognition, Biomedical Engineering and Electrical and Electronic Engineering, having authored 43 papers that have together received 300 indexed citations. Recurring topics across this work include Microfluidic and Capillary Electrophoresis Applications (6 papers), Innovative Microfluidic and Catalytic Techniques Innovation (6 papers), Heat Transfer and Optimization (6 papers), Heat Transfer and Boiling Studies (6 papers), Video Coding and Compression Technologies (5 papers), Image and Video Quality Assessment (5 papers), Fluid Dynamics and Thin Films (5 papers) and Field-Flow Fractionation Techniques (3 papers). The work is most often cited by research in Automotive Engineering (61 citations), Signal Processing (33 citations), Computational Mechanics (43 citations), Pharmaceutical Science (12 citations) and Computer Vision and Pattern Recognition (37 citations). Naoki Ono has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Takashi Yamada, Detang Lu, Fen Li, Ying He, Masahiro Shoji, Shinya Watanabe, Sohei Matsumoto, Takashi Watanabe, Shoji Koide and Takeo Shiina. Their work appears in journals such as Biomedical Microdevices, Journal of the Physical Society of Japan, Food Quality and Safety, International Journal of Heat and Mass Transfer and Physica D Nonlinear Phenomena.

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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