World's Best Scientists 2026 revealed!
Kazuyuki Aihara

Kazuyuki Aihara

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Engineering and Technology
Japan
2026

D-Index & Metrics

Engineering and Technology

D-Index
84
Citations
28390
World Ranking
414
National Ranking
2

Kazuyuki Aihara publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Kazuyuki Aihara sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 1,089 publications — 100th percentile

100% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

Kazuyuki Aihara D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Kazuyuki Aihara sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 84 D-Index — 96th percentile

96% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

Research.com Recognitions

  • 2026 - Research.com Engineering and Technology in Japan Leader Award
  • 2025 - Research.com Engineering and Technology in Japan Leader Award
  • 2023 - Research.com Engineering and Technology in Japan Leader Award
  • 2022 - Research.com Engineering and Technology in Japan Leader Award

Overview

Kazuyuki Aihara is affiliated with the University of Tokyo in Japan. Their research spans multiple fields, with significant contributions to computer science and medicine. Within these domains, their work frequently touches on artificial intelligence, infectious diseases, cognitive neuroscience, molecular biology, and electrical and electronic engineering.

The scientist's research topics concentrate on neural dynamics and brain function, neural networks and reservoir computing, SARS-CoV-2 and COVID-19 research, advanced memory and neural computing, neural networks applications, COVID-19 epidemiological studies, and SARS-CoV-2 detection and testing.

Recent published papers include:

  • "Potential anti-COVID-19 agents, cepharanthine and nelfinavir, and their usage for combination treatment," 2021, published in iScience
  • "A quantitative model used to compare within-host SARS-CoV-2, MERS-CoV, and SARS-CoV dynamics provides insights into the pathogenesis and treatment of SARS-CoV-2," 2021, published in PLoS Biology
  • "Autoreservoir computing for multistep ahead prediction based on the spatiotemporal information transformation," 2020, published in Nature Communications
  • "Partial cross mapping eliminates indirect causal influences," 2020, published in Nature Communications
  • "Multidrug treatment with nelfinavir and cepharanthine against COVID-19," 2020, published in bioRxiv (Cold Spring Harbor Laboratory)

The scientist frequently collaborates with others, including Shingo Iwami, Kwang Su Kim, Luonan Chen, Yusuke Sakemi, and Koichi Watashi.

Publications have appeared in a range of venues, with the most active contributions in arXiv (Cornell University), bioRxiv (Cold Spring Harbor Laboratory), Chaos An Interdisciplinary Journal of Nonlinear Science, Nature Communications, and Scientific Reports.

Best Publications

  • Chaotic Neural Networks

    K. Aihara;T. Takabe;M. Toyoda

  • Chaotic simulated annealing by a neural network model with transient chaos

    Luonan Chen;Kazuyuki Aihara

  • A coherent Ising machine for 2000-node optimization problems.

    Takahiro Inagaki;Yoshitaka Haribara;Yoshitaka Haribara;Koji Igarashi;Tomohiro Sonobe;Tomohiro Sonobe

  • A fully programmable 100-spin coherent Ising machine with all-to-all connections

    Peter McMahon;Alireza Marandi;Yoshitaka Haribara;Ryan Hamerly

  • Detecting early-warning signals for sudden deterioration of complex diseases by dynamical network biomarkers

    Luonan Chen;Luonan Chen;Rui Liu;Zhi-Ping Liu;Meiyi Li

  • Associative dynamics in a chaotic neural network

    Masaharu Adachi;Kazuyuki Aihara

  • Stability of genetic regulatory networks with time delay

    L. Chen;K. Aihara

  • Cryptosystems with discretized chaotic maps

    N. Masuda;K. Aihara

  • Stability of Genetic Networks With SUM Regulatory Logic: Lur'e System and LMI Approach

    Chunguang Li;L. Chen;K. Aihara

  • Dynamical cell assembly hypothesis—theoretical possibility of spatio-temporal coding in the cortex

    Hiroshi Fujii;Hiroyuki Ito;Kazuyuki Aihara;Natsuhiro Ichinose

  • Personalized characterization of diseases using sample-specific networks.

    Xiaoping Liu;Xiaoping Liu;Yuetong Wang;Hongbin Ji;Hongbin Ji;Kazuyuki Aihara

  • Early Diagnosis of Complex Diseases by Molecular Biomarkers, Network Biomarkers, and Dynamical Network Biomarkers

    Rui Liu;Xiangdong Wang;Kazuyuki Aihara;Luonan Chen;Luonan Chen

  • Bifurcations in Morris-Lecar neuron model

    Kunichika Tsumoto;Hiroyuki Kitajima;Tetsuya Yoshinaga;Kazuyuki Aihara

  • A Vehicle-Intersection Coordination Scheme for Smooth Flows of Traffic Without Using Traffic Lights

    Md. Abdus Samad Kamal;Jun-ichi Imura;Tomohisa Hayakawa;Akira Ohata

  • Spatial prisoner's dilemma optimally played in small-world networks

    Naoki Masuda;Kazuyuki Aihara

  • Coherent Ising machines—optical neural networks operating at the quantum limit

    Yoshihisa Yamamoto;Kazuyuki Aihara;Timothee Leleu;Ken-ichi Kawarabayashi

  • Bayesian inference explains perception of unity and ventriloquism aftereffect: Identification of common sources of audiovisual stimuli

    Yoshiyuki Sato;Taro Toyoizumi;Kazuyuki Aihara

  • Identifying critical transitions and their leading biomolecular networks in complex diseases

    Rui Liu;Meiyi Li;Zhi-Ping Liu;Jiarui Wu

  • Non-Gaussian power grid frequency fluctuations characterized by Lévy-stable laws and superstatistics

    Benjamin Schäfer;Christian Beck;Kazuyuki Aihara;Dirk Witthaut;Dirk Witthaut

  • Molecular communication through stochastic synchronization induced by extracellular fluctuations.

    Tianshou Zhou;Luonan Chen;Kazuyuki Aihara

  • Chaos and asymptotical stability in discrete-time neural networks

    Luonan Chen;Kazuyuki Aihara

  • Detecting early-warning signals for sudden deterioration of complex diseases by dynamical network

    Rui Liu;Zhi-Ping Liu;Meiyi Li;Kazuyuki Aihara

Frequent Co-Authors

Luonan Chen
Luonan Chen Chinese Academy of Sciences
Naoki Masuda
Naoki Masuda University at Buffalo, State University of New York
Hajime Mushiake
Hajime Mushiake Tohoku University
Yoshihisa Yamamoto
Yoshihisa Yamamoto Stanford University
Chunguang Li
Chunguang Li Zhejiang University
Yoshio Koyanagi
Yoshio Koyanagi Kyoto University
Xing-Ming Zhao
Xing-Ming Zhao Fudan University
Hiroshi Nishiura
Hiroshi Nishiura Kyoto University
Hiroki Takesue
Hiroki Takesue NTT (Japan)
Yosihiko Ogata
Yosihiko Ogata The Institute of Statistical Mathematics

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