World's Best Scientists 2026 revealed!
Hideyuki Takagi

Hideyuki Takagi

D-Index & Metrics

Engineering and Technology

D-Index
39
Citations
9827
World Ranking
7528
National Ranking
155

Hideyuki Takagi 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 Hideyuki Takagi 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: 249 publications — 64th percentile

64% of scientists in this discipline score the same or lower.

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

Hideyuki Takagi 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 Hideyuki Takagi 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: 39 D-Index — 24th percentile

24% of scientists in this discipline score the same or lower.

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

Overview

Hideyuki Takagi is affiliated with Kyushu University in Japan and has a significant record of research contributions primarily in the fields of engineering and materials science. Their work spans multiple subfields, including materials chemistry, mechanical engineering, biomedical engineering, catalysis, and organic chemistry.

Their research topics are concentrated on catalytic processes in materials science, catalysis and hydrodesulfurization studies, catalysts for methane reforming, nanomaterials for catalytic reactions, biodiesel production and applications, ammonia synthesis and nitrogen reduction, and catalysis for biomass conversion.

Frequent coauthors in their research include Takehisa Mochizuki, Shih-Yuan Chen, Chia-Min Yang, Apanee Luengnaruemitchai, and Nuwong Chollacoop.

Their publications have appeared most often in the following venues:

  • Fuel
  • International Journal of Hydrogen Energy
  • ACS Sustainable Chemistry & Engineering
  • Applied Catalysis B: Environmental
  • Applied Catalysis A General

Recent representative papers by Hideyuki Takagi include:

  • "Enhanced Activity of Integrated CO2 Capture and Reduction to CH4 under Pressurized Conditions toward Atmospheric CO2 Utilization" (2021), published in ACS Sustainable Chemistry & Engineering
  • "Unraveling the active sites of Cs-promoted Ru/γ-Al2O3 catalysts for ammonia synthesis" (2022), published in Applied Catalysis B: Environmental
  • "Superficial Pd nanoparticles supported on carbonaceous SBA-15 as efficient hydrotreating catalyst for upgrading biodiesel fuel" (2020), published in Applied Catalysis A General
  • "Tuning the porosity of sulfur-resistant Pd-Pt/MCM-41 bimetallic catalysts for partial hydrogenation of soybean oil-derived biodiesel" (2021), published in Fuel
  • "Effect of Ni content on CO2 methanation performance with tubular-structured Ni-YSZ catalysts and optimization of catalytic activity for temperature management in the reactor" (2020), published in International Journal of Hydrogen Energy

Best Publications

  • Interactive evolutionary computation: fusion of the capabilities of EC optimization and human evaluation

    H. Takagi

  • NN-driven fuzzy reasoning

    Hideyuki Takagi;Isao Hayashi

  • Integrating design stage of fuzzy systems using genetic algorithms

    M.A. Lee;H. Takagi

  • Dynamic Control of Genetic Algorithms Using Fuzzy Logic Techniques

    Michael A. Lee;Hideyuki Takagi

  • XRD analysis of carbon stacking structure in coal during heat treatment

    H. Takagi;K. Maruyama;N. Yoshizawa;Y. Yamada

  • High-Power Supercapacitor Electrodes from Single-Walled Carbon Nanohorn/Nanotube Composite

    Ali Izadi-Najafabadi;Takeo Yamada;Don. N. Futaba;Masako Yudasaka

  • Plasma Catalysis for Environmental Treatment and Energy Applications

    Hyun-Ha Kim;Yoshiyuki Teramoto;Atsushi Ogata;Hideyuki Takagi

  • Neural networks designed on approximate reasoning architecture and their applications

    H. Takagi;N. Suzuki;T. Koda;Y. Kojima

  • Atmospheric-pressure nonthermal plasma synthesis of ammonia over ruthenium catalysts

    Hyun-Ha Kim;Yoshiyuki Teramoto;Atsushi Ogata;Hideyuki Takagi

  • Adsorptive hydrogen storage in carbon and porous materials

    H. Takagi;H. Hatori;Y. Soneda;N. Yoshizawa

  • Ergonomic Chair Design by Fusing Qualitative and Quantitative Criteria Using Interactive Genetic Algorithms

    A.M. Brintrup;J. Ramsden;H. Takagi;A. Tiwari

  • Enhanced Activity of Integrated CO2 Capture and Reduction to CH4 under Pressurized Conditions toward Atmospheric CO2 Utilization

    Fumihiko Kosaka;Yanyong Liu;Shih Yuan Chen;Takehisa Mochizuki

  • Interactive Evolutionary Computation : System Optimization Based on Human Subjective Evaluation

    Hideyuki Takagi;英行 髙木;英行 高木

  • Gas separation properties of molecular sieving carbon membranes with nanopore channels

    Hiroaki Hatori;Hideyuki Takagi;Yoshio Yamada

  • Interactive Evolutionary Computation-Based Hearing Aid Fitting

    H. Takagi;M. Ohsaki

  • Hydrogen adsorption properties of activated carbons with modified surfaces

    H. Takagi;H. Hatori;Y. Yamada;S. Matsuo

  • Optimized Design of MEMS by Evolutionary Multi-objective Optimization with Interactive Evolutionary Computation

    Raffi R. Kamalian;Hideyuki Takagi;Alice M. Agogino

  • Neural networks in Japan

    Kazuo Asakawa;Hideyuki Takagi

  • Paired comparison-based Interactive Differential Evolution

    Hideyuki Takagi;Denis Pallez

  • Introduction to Fuzzy Systems, Neural Networks, and Genetic Algorithms

    Hideyuki Takagi

  • An input method using discrete fitness values for interactive GA

    Miho Ohsaki;Hideyuki Takagi;Kimiko Ohya

  • Advances in Computing, Communications and Informatics (ICACCI)

    Sabu M Thampi;Michal Wozniak;Oge Marques;Dilip Krishnaswamy

  • Integrating Design Stage of Fuzzy System using Genetic Algorithms

    Michael A. Lee;Hideyuki Takagi;英行 高木

Frequent Co-Authors

Ying Tan
Ying Tan Peking University
Alice M. Agogino
Alice M. Agogino University of California, Berkeley
Katsuki Kusakabe
Katsuki Kusakabe Kyushu University
Shigeharu Morooka
Shigeharu Morooka Kyushu University
Gao Qing Lu
Gao Qing Lu University of Surrey
Zhonghua Zhu
Zhonghua Zhu University of Queensland
Sung-Bae Cho
Sung-Bae Cho Yonsei University
Rolf Drechsler
Rolf Drechsler University of Bremen
Barbara S. Minsker
Barbara S. Minsker Southern Methodist University
Atsushi Ogata
Atsushi Ogata National Institute of Advanced Industrial Science and Technology

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