World's Best Scientists 2026 revealed!

D-Index & Metrics

Materials Science

D-Index
56
Citations
14805
World Ranking
8151
National Ranking
2008

Engineering and Technology

D-Index
56
Citations
14819
World Ranking
2769
National Ranking
843

Kun Fu 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 Kun Fu 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: 93 publications — 6th percentile

6% of scientists in this discipline score the same or lower.

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

Kun Fu 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 Kun Fu 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: 56 D-Index — 72nd percentile

72% of scientists in this discipline score the same or lower.

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

Overview

Kun Fu is affiliated with the University of Delaware in the United States. Their research primarily spans the fields of engineering and materials science, with significant contributions to subfields including biomedical engineering, materials chemistry, electrical and electronic engineering, automotive engineering, and industrial and manufacturing engineering.

The scientist's work focuses on several main topics, notably additive manufacturing and 3D printing technologies, advanced sensor and energy harvesting materials, advancements in battery materials, advanced battery materials and technologies, manufacturing process and optimization, dielectric materials and actuators, and advanced battery technologies research.

Kun Fu has published extensively, with some of the recent papers including:

  • Garnet-Type Solid-State Electrolytes: Materials, Interfaces, and Batteries (2020) in Chemical Reviews
  • 3D Printing of Polymer Composites: Materials, Processes, and Applications (2022) in Matter
  • 3D Printing-Enabled Advanced Electrode Architecture Design (2021) in Carbon Energy
  • Flexible, Mechanically Robust, Solid-State Electrolyte Membrane with Conducting Oxide-Enhanced 3D Nanofiber Networks for Lithium Batteries (2021) in Nano Letters
  • High-Entropy Alloy Stabilized and Activated Pt Clusters for Highly Efficient Electrocatalysis (2022) in SusMat

The frequent coauthors teaming with Kun Fu include Kaiyue Deng, Baohui Shi, Soyeon Park, Yuanyuan Shang, and Yang Zhou. These collaborations reflect concentrated research efforts within related scientific areas.

In terms of publication venues, Kun Fu most commonly publishes in:

  • Composites Part B Engineering
  • Composites Science and Technology
  • ACS Nano
  • Nano Letters
  • ACS Applied Materials & Interfaces

Best Publications

  • A review of recent developments in membrane separators for rechargeable lithium-ion batteries

    Hun Lee;Meltem Yanilmaz;Ozan Toprakci;Kun Fu

  • Garnet-Type Solid-State Electrolytes: Materials, Interfaces, and Batteries.

    Chengwei Wang;Kun Fu;Kun Fu;Sanoop Palakkathodi Kammampata;Dennis W McOwen

  • Graphene Oxide-Based Electrode Inks for 3D-Printed Lithium-Ion Batteries.

    Kun Fu;Yibo Wang;Chaoyi Yan;Yonggang Yao

  • Protected Lithium-Metal Anodes in Batteries: From Liquid to Solid

    Chunpeng Yang;Kun Fu;Ying Zhang;Emily Hitz

  • Conformal, Nanoscale ZnO Surface Modification of Garnet-Based Solid-State Electrolyte for Lithium Metal Anodes.

    Chengwei Wang;Yunhui Gong;Boyang Liu;Kun Fu

  • Three-dimensional bilayer garnet solid electrolyte based high energy density lithium metal–sulfur batteries

    Kun (Kelvin) Fu;Yunhui Gong;Gregory T. Hitz;Dennis W. McOwen

  • Progress in 3D Printing of Carbon Materials for Energy‐Related Applications

    Kun Fu;Yonggang Yao;Jiaqi Dai;Liangbing Hu

  • Mesoporous, Three-Dimensional Wood Membrane Decorated with Nanoparticles for Highly Efficient Water Treatment

    Fengjuan Chen;Amy S. Gong;Mingwei Zhu;Guang Chen

  • Organic electrode for non-aqueous potassium-ion batteries

    Yanan Chen;Yanan Chen;Wei Luo;Marcus Carter;Lihui Zhou

  • Three-Dimensional Printed Thermal Regulation Textiles

    Tingting Gao;Zhi Yang;Chaoji Chen;Yiju Li

  • A Thermally Conductive Separator for Stable Li Metal Anodes

    Wei Luo;Lihui Zhou;Kun Fu;Zhi Yang

  • An Electron/Ion Dual-Conductive Alloy Framework for High-Rate and High-Capacity Solid-State Lithium-Metal Batteries

    Chunpeng Yang;Hua Xie;Weiwei Ping;Kun Fu

  • Nitrogen-doped carbon nanofibers derived from polyacrylonitrile for use as anode material in sodium-ion batteries

    Jiadeng Zhu;Chen Chen;Yao Lu;Yeqian Ge

  • Garnet Solid Electrolyte Protected Li-Metal Batteries

    Boyang Liu;Yunhui Gong;Kun Fu;Xiaogang Han

  • Aligned Carbon Nanotube‐Silicon Sheets: A Novel Nano‐architecture for Flexible Lithium Ion Battery Electrodes

    Kun Fu;Ozkan Yildiz;Hardik Bhanushali;Yongxin Wang

  • Super-Strong, Super-Stiff Macrofibers with Aligned, Long Bacterial Cellulose Nanofibers

    Sha Wang;Feng Jiang;Xu Xu;Yudi Kuang

  • Reduced Graphene Oxide Films with Ultrahigh Conductivity as Li-Ion Battery Current Collectors

    Yanan Chen;Kun Fu;Shuze Zhu;Wei Luo

  • Parameter study and characterization for polyacrylonitrile nanofibers fabricated via centrifugal spinning process

    Yao Lu;Ying Li;Shu Zhang;Guanjie Xu

  • Nanoparticle-on-nanofiber hybrid membrane separators for lithium-ion batteries via combining electrospraying and electrospinning techniques

    Meltem Yanilmaz;Yao Lu;Mahmut Dirican;Kun Fu

  • Ultra-fast self-assembly and stabilization of reactive nanoparticles in reduced graphene oxide films

    Yanan Chen;Garth C. Egan;Garth C. Egan;Jiayu Wan;Shuze Zhu

  • Flexible, Solid-State, Ion-Conducting Membrane with 3D Garnet Nanofiber Networks for Lithium Batteries

    Kun Fu;Yunhui Gong;Eric D. Wachsman;Liangbing Hu

Frequent Co-Authors

Liangbing Hu
Liangbing Hu Yale University
Xiangwu Zhang
Xiangwu Zhang North Carolina State University
Jiaqi Dai
Jiaqi Dai University of Maryland, College Park
Yonggang Yao
Yonggang Yao Huazhong University of Science and Technology
Mahmut Dirican
Mahmut Dirican Intel (United States)
Eric D. Wachsman
Eric D. Wachsman University of Maryland, College Park
Boyang Liu
Boyang Liu Shanghai Maritime University
Chen Chen
Chen Chen Xi'an Jiaotong University
Wei Luo
Wei Luo Tongji University
Xiaogang Han
Xiaogang Han Xi'an Jiaotong University

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