Masaki Ono

1.5k total citations
77 papers, 1.2k citations indexed

About

Masaki Ono is a scholar working on Electrical and Electronic Engineering, Molecular Biology and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Masaki Ono has authored 77 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Electrical and Electronic Engineering, 14 papers in Molecular Biology and 14 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Masaki Ono's work include Analytical Chemistry and Sensors (8 papers), Electrochemical sensors and biosensors (7 papers) and Advanced Chemical Physics Studies (6 papers). Masaki Ono is often cited by papers focused on Analytical Chemistry and Sensors (8 papers), Electrochemical sensors and biosensors (7 papers) and Advanced Chemical Physics Studies (6 papers). Masaki Ono collaborates with scholars based in Japan, United States and Australia. Masaki Ono's co-authors include Nobuo Ueno, Satoshi Kera, Tomoki Sueyoshi, Norio Miura, Noboru Yamazoe, Hirohiko Fukagawa, Kengo Shimanoe, Geyu Lu, Eizi Morikawa and Shinji Kawasaki and has published in prestigious journals such as Applied Physics Letters, Analytical Chemistry and Applied and Environmental Microbiology.

In The Last Decade

Masaki Ono

72 papers receiving 1.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Masaki Ono Japan 17 553 233 203 194 165 77 1.2k
D. Brynn Hibbert Australia 20 660 1.2× 250 1.1× 366 1.8× 196 1.0× 300 1.8× 64 1.5k
Tongyu Liu China 23 591 1.1× 202 0.9× 493 2.4× 84 0.4× 65 0.4× 120 1.4k
Yi Han China 18 486 0.9× 270 1.2× 174 0.9× 244 1.3× 230 1.4× 74 1.2k
Juan Kang China 19 588 1.1× 274 1.2× 149 0.7× 67 0.3× 109 0.7× 112 1.3k
M. Bos Netherlands 20 323 0.6× 424 1.8× 225 1.1× 436 2.2× 62 0.4× 86 1.7k
Ulrich Nickel Germany 26 499 0.9× 402 1.7× 567 2.8× 58 0.3× 119 0.7× 124 2.5k
Hongbo Zhu United States 19 374 0.7× 613 2.6× 216 1.1× 131 0.7× 343 2.1× 46 1.3k
Erwen Li United States 21 499 0.9× 354 1.5× 104 0.5× 72 0.4× 217 1.3× 42 1.0k
Xiangyang Yu China 19 308 0.6× 483 2.1× 291 1.4× 29 0.1× 162 1.0× 95 1.5k
Bo Kong China 16 339 0.6× 97 0.4× 265 1.3× 87 0.4× 115 0.7× 62 781

Countries citing papers authored by Masaki Ono

Since Specialization
Citations

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

Fields of papers citing papers by Masaki Ono

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masaki Ono

This figure shows the co-authorship network connecting the top 25 collaborators of Masaki Ono. A scholar is included among the top collaborators of Masaki Ono 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 Masaki Ono. Masaki Ono 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
1.
Yang, Xin, Kazuki Arihara, Masaki Ono, et al.. (2024). Machine Learning Approaches for Battery Durability Prediction: Leveraging Diverse Datasets and Advanced Feature Engineering Techniques. ECS Meeting Abstracts. MA2024-02(3). 393–393.
2.
Yuhara, Junji, Masaki Ono, Akio Ohta, et al.. (2023). Formation of germanene with free-standing lattice constant. Surface Science. 738. 122382–122382. 6 indexed citations
3.
Takahashi, Kazunori, et al.. (2022). Robust Estimation of the Dielectric Constant of Cylindrical Objects Using Wideband Radar Transmission Measurements. IEEE Transactions on Microwave Theory and Techniques. 70(7). 3666–3674. 1 indexed citations
4.
Ono, Masaki, et al.. (2020). Feature Set for a Prediction Model of Diabetic Kidney Disease Progression. Studies in health technology and informatics. 270. 1289–1290. 3 indexed citations
5.
Ono, Masaki, et al.. (2020). Interpretation Method for Continuous Glucose Monitoring with Subsequence Time-Series Clustering. Studies in health technology and informatics. 270. 277–281. 1 indexed citations
6.
Makino, Masaki, Ryo Yoshimoto, Masaki Ono, et al.. (2019). Artificial intelligence predicts the progression of diabetic kidney disease using big data machine learning. Scientific Reports. 9(1). 11862–11862. 142 indexed citations
7.
Ono, Masaki, Akira Koseki, Michiharu Kudo, et al.. (2018). Feature Extraction from Electronic Health Records of Diabetic Nephropathy Patients with Convolutioinal Autoencoder.. National Conference on Artificial Intelligence. 451–454. 2 indexed citations
8.
Hải, Nguyễn Minh, et al.. (2018). REVALUATION OF SHEAR RESISTANCE OF PERFOBOND STRIP CONSIDERING DIFFERENCE OF RIB PLATE AND CONCRETE BLOCK ARRANGEMENT. Journal of Japan Society of Civil Engineers Ser A1 (Structural Engineering & Earthquake Engineering (SE/EE)). 74(1). 22–27. 2 indexed citations
9.
Ono, Masaki, et al.. (2015). Implementation and Effectiveness of the New Overall Evaluation Bid Method. 71(4). I_235–I_240. 1 indexed citations
10.
Ono, Masaki, et al.. (2013). Experimental Measurements of Threshold Pressure for Modeling Saline Aquifers in Japan. Energy Procedia. 37. 5456–5463. 13 indexed citations
11.
Itoh, Tetsuji, et al.. (2008). Amperometric determination of choline with enzyme immobilized in a hybrid mesoporous membrane. Talanta. 78(1). 217–220. 47 indexed citations
12.
Amy, Fabrice, Calvin Chan, Wei Zhao, et al.. (2006). Radiation Damage to Alkyl Chain Monolayers on Semiconductor Substrates Investigated by Electron Spectroscopy. The Journal of Physical Chemistry B. 110(43). 21826–21832. 32 indexed citations
13.
Kizilkaya, Orhan, et al.. (2006). Ultrathin film assembly of sulfobetaine-stabilized palladium nanoparticles investigated by photoemission spectroscopy. Materials Letters. 61(7). 1533–1536. 2 indexed citations
14.
Nakamura, Toshikazu, et al.. (2004). Uniformly sized molecularly imprinted polymer for atropine and its application to the determination of atropine and scopolamine in pharmaceutical preparations containing Scopolia extract. Journal of Pharmaceutical and Biomedical Analysis. 37(2). 231–237. 41 indexed citations
15.
Ono, Masaki, Toshiaki Nakajima, Yuji Itoh, Kenji Shimada, & Susumu Yamato. (2003). Specific determination of myo-inositol in multivitamin pharmaceutical preparations by a flow injection system using a myo-inositol dehydrogenase reactor coupled with a glucose eliminating enzyme reactor. Journal of Pharmaceutical and Biomedical Analysis. 33(5). 1175–1180. 2 indexed citations
16.
Ono, Masaki, Toshiaki Nakajima, Yuji Itoh, et al.. (2002). Simultaneous determination of riboflavin phosphate and other ingredients in a multivitamin pharmaceutical preparation by on-line automated LC coupled with pre-column immobilized enzyme reactor. Journal of Pharmaceutical and Biomedical Analysis. 29(1-2). 325–334. 9 indexed citations
17.
Shimizu, Yoshihiko, et al.. (2002). Application of Nonlinear Fitting and Selection of the Most Fitted Equation by AIC in Stability Test of Pharmaceutical Ingredients. Drug Development and Industrial Pharmacy. 28(8). 931–937. 4 indexed citations
18.
Ono, Masaki, et al.. (2001). Development of porous silica production by hydrothermal method. High Pressure Research. 20(1-6). 307–310. 4 indexed citations
19.

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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