Naoki Ono

38 papers receiving 322 citations

Peers

Naoki Ono
Comparison fields: 5 of 83
  • Automotive Engineering 65
  • Signal Processing 36
  • Computational Mechanics 50
  • Pharmaceutical Science 13
  • Computer Vision and Pattern Recognition 41
Replace Maximiliano Osvaldo Sonnaillon with:
Maximiliano Osvaldo Sonnaillon Argentina
Tian Tan China
Jinhak Kim South Korea
Muhammad Akmal Bin Mohd Faisal Indonesia
Hitomi KAWAKAMI Japan
Chunmei Wang China
Bing Dong China
Subrahamanyam Upadhyay India
Xingyu Lu China
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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 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201582
2 201751
3 201828
4 201820
5 201516
6 201816
7 196416
8 200915
9 20209
10 20147
11 19887
12 20076
13 20125
14 20155
15 20155
16 20164
17
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"
20113
18 20213
19 20213
20 20083

About Naoki Ono

Naoki Ono is a scholar working on Computational Mechanics, Computer Vision and Pattern Recognition, Mechanical Engineering, Media Technology and Signal Processing, having authored 46 papers that have together received 331 indexed citations. Recurring topics across this work include Heat Transfer and Optimization (8 papers), Heat Transfer and Boiling Studies (8 papers), Fluid Dynamics and Thin Films (7 papers), Microfluidic and Capillary Electrophoresis Applications (6 papers), Innovative Microfluidic and Catalytic Techniques Innovation (6 papers), Image and Video Quality Assessment (5 papers), Video Coding and Compression Technologies (5 papers) and Microfluidic and Bio-sensing Technologies (3 papers). The work is most often cited by research in Automotive Engineering (65 citations), Signal Processing (36 citations), Computational Mechanics (50 citations), Pharmaceutical Science (13 citations) and Computer Vision and Pattern Recognition (41 citations). Naoki Ono has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Takashi Yamada, Fen Li, Detang Lu, Ying He, Masahiro Shoji, Sohei Matsumoto, Shinya Watanabe, Yasumasa Ando, Takashi Watanabe and Takahiro Orikasa. Their work appears in journals such as Journal of Thermal Science and Technology, Food Quality and Safety, Journal of the Physical Society of Japan, International Journal of Heat and Mass Transfer and Biomedical Microdevices.

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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