Yusuke Nakashima

553 total citations
30 papers, 443 citations indexed

About

Yusuke Nakashima is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Yusuke Nakashima has authored 30 papers receiving a total of 443 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cognitive Neuroscience, 8 papers in Artificial Intelligence and 5 papers in Computational Theory and Mathematics. Recurrent topics in Yusuke Nakashima's work include Visual perception and processing mechanisms (7 papers), Evolutionary Algorithms and Applications (7 papers) and Metaheuristic Optimization Algorithms Research (6 papers). Yusuke Nakashima is often cited by papers focused on Visual perception and processing mechanisms (7 papers), Evolutionary Algorithms and Applications (7 papers) and Metaheuristic Optimization Algorithms Research (6 papers). Yusuke Nakashima collaborates with scholars based in Japan and United States. Yusuke Nakashima's co-authors include Nguyễn Kim Cương, Hisao Ishibuchi, Yusuke Nojima, Hussein M. Zbib, Yusuke Tomita, Yoichi Sugita, Masayuki Oda, Yukihiro Itoh, Takashi Kurohara and Miki Suzuki and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Current Biology and Scientific Reports.

In The Last Decade

Yusuke Nakashima

28 papers receiving 431 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yusuke Nakashima Japan 9 121 102 65 59 59 30 443
Yuta Suzuki Japan 13 225 1.9× 39 0.4× 51 0.8× 9 0.2× 27 0.5× 70 559
Dongho Shin South Korea 12 151 1.2× 70 0.7× 55 0.8× 15 0.3× 8 0.1× 31 576
Yen‐Lung Chen Taiwan 13 91 0.8× 65 0.6× 32 0.5× 25 0.4× 5 0.1× 45 364
Cheng-Han Li Taiwan 10 66 0.5× 42 0.4× 83 1.3× 37 0.6× 4 0.1× 35 398
Keyue Zhang China 9 155 1.3× 39 0.4× 162 2.5× 23 0.4× 24 0.4× 34 366
Suvo Banik United States 10 183 1.5× 31 0.3× 47 0.7× 8 0.1× 9 0.2× 21 382
Fang Jin China 12 104 0.9× 50 0.5× 124 1.9× 17 0.3× 18 0.3× 77 539
Yiwei Zhou China 11 141 1.2× 116 1.1× 77 1.2× 129 2.2× 6 0.1× 36 478
Yingyu Chen China 18 332 2.7× 16 0.2× 139 2.1× 37 0.6× 69 1.2× 75 945
Junren Chen China 11 85 0.7× 43 0.4× 46 0.7× 8 0.1× 28 0.5× 26 439

Countries citing papers authored by Yusuke Nakashima

Since Specialization
Citations

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

Fields of papers citing papers by Yusuke Nakashima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yusuke Nakashima

This figure shows the co-authorship network connecting the top 25 collaborators of Yusuke Nakashima. A scholar is included among the top collaborators of Yusuke Nakashima 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 Yusuke Nakashima. Yusuke Nakashima 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.
2.
Nakashima, Yusuke, So Kanazawa, & Masami K. Yamaguchi. (2023). Recognition of humans from biological motion in infants. Attention Perception & Psychophysics. 85(8). 2567–2576. 2 indexed citations
3.
Nakashima, Yusuke, So Kanazawa, & Masami K. Yamaguchi. (2023). Metacontrast masking is ineffective in the first 6 months of life. Cognition. 242. 105666–105666. 1 indexed citations
4.
Nakashima, Yusuke, et al.. (2022). Analysis of spatial point patterns in electron-counting images. Microscopy. 71(3). 142–151. 1 indexed citations
5.
Nakashima, Yusuke, So Kanazawa, & Masami K. Yamaguchi. (2021). Perception of invisible masked objects in early infancy. Proceedings of the National Academy of Sciences. 118(27). 15 indexed citations
6.
Itoh, Yukihiro, Yusuke Nakashima, Takashi Kurohara, et al.. (2019). N+-C-H···O Hydrogen bonds in protein-ligand complexes. Scientific Reports. 9(1). 767–767. 104 indexed citations
7.
Nakashima, Yusuke, Masami K. Yamaguchi, & So Kanazawa. (2019). Development of Center-Surround Suppression in Infant Motion Processing. Current Biology. 29(18). 3059–3064.e2. 9 indexed citations
8.
Yasuo, Nobuaki, Yusuke Nakashima, & Masakazu Sekijima. (2018). CoDe-DTI: Collaborative Deep Learning-based Drug-Target Interaction Prediction. 792–797. 12 indexed citations
9.
Nakashima, Yusuke & Yoichi Sugita. (2018). Size-contrast illusion induced by unconscious context. Journal of Vision. 18(3). 16–16. 12 indexed citations
10.
Nakashima, Yusuke & Yoichi Sugita. (2017). The reference frame of the tilt aftereffect measured by differential Pavlovian conditioning. Scientific Reports. 7(1). 40525–40525. 8 indexed citations
11.
Nakashima, Yusuke, et al.. (2015). Surround-contingent motion aftereffect. Vision Research. 117. 9–15. 3 indexed citations
12.
Nakashima, Yusuke & Yoichi Sugita. (2014). Surround-contingent tilt aftereffect. Journal of Vision. 14(14). 5–5. 4 indexed citations
13.
Ishibuchi, Hisao, Yusuke Nakashima, & Yusuke Nojima. (2010). Performance evaluation of evolutionary multiobjective optimization algorithms for multiobjective fuzzy genetics-based machine learning. Soft Computing. 15(12). 2415–2434. 29 indexed citations
14.
Ishibuchi, Hisao, Yusuke Nakashima, & Yusuke Nojima. (2010). Simple changes in problem formulations make a difference in multiobjective genetic fuzzy systems. 3–8. 5 indexed citations
15.
Nojima, Yusuke, Yusuke Nakashima, & Hisao Ishibuchi. (2009). Effects of the Use of Multiple Fuzzy Partitions on the Search Ability of Multiobjective Fuzzy Genetics-Based Machine Learning. 341–346. 1 indexed citations
16.
YASHIRO, Kisaragi, Yusuke Nakashima, & Yoshihiro TOMITA. (2006). Discrete Dislocation Dynamics Simulation of Interfacial Dislocation Network in Gamma/Gamma-Prime Microstructure of Ni-based Superalloys. Computer Modeling in Engineering & Sciences. 11(2). 73–80. 3 indexed citations
17.
Nakashima, Yusuke, et al.. (2005). Discrete dislocation dynamics simulation of cutting of γ′ precipitate and interfacial dislocation network in Ni-based superalloys. International Journal of Plasticity. 22(4). 713–723. 92 indexed citations
18.
Cương, Nguyễn Kim, et al.. (2003). Improvement in adhesion of polyethylene by glow-discharge plasma. Surface and Coatings Technology. 174-175. 826–830. 92 indexed citations
19.
Kitamoto, Shunji, Takayoshi Kohmura, Norimasa Yamamoto, et al.. (2003). Soft X-ray transmission of optical blocking filters for the X-ray CCD cameras onboard Astro-E 2. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 505(3). 683–687. 3 indexed citations
20.
Shirai, Kohji, et al.. (1994). Acute myocardial infarction due to thrombus formation in congenital coronary artery fistula. European Heart Journal. 15(4). 577–579. 18 indexed citations

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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