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D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Materials Science 81 2627 2536 835 831 285 20971

Kun Dai publications per year

The chart shows the history of publications by Kun Dai between 2005 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Kun Dai published across 21 years, from 2005 to 2025, averaging 19.7 papers a year. Output peaked at 48 publications in 2022. 83 of the 413 publications appeared in the last two years.

No. of publications
10 20 30 40
Bar chart. Horizontal axis: year, 2005 to 2025. Vertical axis: number of publications, 0 to 48. Peak 48 publications in 2022. 2005: 5 publications 2006: 8 publications 2007: 16 publications 2008: 8 publications 2009: 2 publications 2010: 2 publications 2011: 12 publications 2012: 8 publications 2013: 15 publications 2014: 11 publications 2015: 16 publications 2016: 26 publications 2017: 22 publications 2018: 23 publications 2019: 21 publications 2020: 21 publications 2021: 30 publications 2022: 48 publications 2023: 36 publications 2024: 37 publications 2025: 46 publications
2005 2025

413 publications in total across all disciplines

View publications per year as a table
Kun Dai: publications per year, 2005 to 2025
Year Publications
2005 5
2006 8
2007 16
2008 8
2009 2
2010 2
2011 12
2012 8
2013 15
2014 11
2015 16
2016 26
2017 22
2018 23
2019 21
2020 21
2021 30
2022 48
2023 36
2024 37
2025 46
Total 413
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Kun Dai publication distribution in Materials Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Materials Science in 2026. The highlighted bar marks where Kun Dai sits on this spectrum.

No. of scientists
200 400 600 800
Bar chart with 57 bars. Horizontal axis: publications, 50–69 to 1,163+. Vertical axis: number of scientists, 0 to 891. Most scientists, 891, have 190–209 publications. The last bar groups every scientist with 1,163 publications or more. The highlighted bar, 270–289 publications, is where this scientist sits. 50–69 publications: 28 scientists 70–89 publications: 152 scientists 90–109 publications: 356 scientists 110–129 publications: 487 scientists 130–149 publications: 723 scientists 150–169 publications: 835 scientists 170–189 publications: 850 scientists 190–209 publications: 891 scientists 210–229 publications: 862 scientists 230–249 publications: 766 scientists 250–269 publications: 726 scientists 270–289 publications: 665 scientists 290–309 publications: 593 scientists 310–329 publications: 537 scientists 330–349 publications: 477 scientists 350–369 publications: 440 scientists 370–389 publications: 356 scientists 390–409 publications: 321 scientists 410–429 publications: 256 scientists 430–449 publications: 246 scientists 450–469 publications: 216 scientists 470–489 publications: 212 scientists 490–509 publications: 174 scientists 510–529 publications: 194 scientists 530–549 publications: 162 scientists 550–569 publications: 131 scientists 570–589 publications: 111 scientists 590–609 publications: 103 scientists 610–629 publications: 99 scientists 630–649 publications: 77 scientists 650–669 publications: 92 scientists 670–689 publications: 56 scientists 690–709 publications: 53 scientists 710–729 publications: 53 scientists 730–749 publications: 38 scientists 750–769 publications: 52 scientists 770–789 publications: 43 scientists 790–809 publications: 38 scientists 810–829 publications: 34 scientists 830–849 publications: 25 scientists 850–869 publications: 18 scientists 870–889 publications: 20 scientists 890–909 publications: 24 scientists 910–929 publications: 27 scientists 930–949 publications: 20 scientists 950–969 publications: 17 scientists 970–989 publications: 10 scientists 990–1,009 publications: 16 scientists 1,010–1,029 publications: 13 scientists 1,030–1,049 publications: 12 scientists 1,050–1,069 publications: 9 scientists 1,070–1,089 publications: 8 scientists 1,090–1,109 publications: 7 scientists 1,110–1,129 publications: 9 scientists 1,130–1,149 publications: 2 scientists 1,150–1,162 publications: 5 scientists 1,163+ publications: 100 scientists
50–69 publications 1,163+

This scientist: 285 publications — 56th percentile

56% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,163 publications or more.

View publications distribution as a table
Number of Materials Science scientists by publication count, Research.com 2026 ranking edition. Based on 12,847 ranked scientists.
Publications Scientists This scientist
50–69 28
70–89 152
90–109 356
110–129 487
130–149 723
150–169 835
170–189 850
190–209 891
210–229 862
230–249 766
250–269 726
270–289 665 285
290–309 593
310–329 537
330–349 477
350–369 440
370–389 356
390–409 321
410–429 256
430–449 246
450–469 216
470–489 212
490–509 174
510–529 194
530–549 162
550–569 131
570–589 111
590–609 103
610–629 99
630–649 77
650–669 92
670–689 56
690–709 53
710–729 53
730–749 38
750–769 52
770–789 43
790–809 38
810–829 34
830–849 25
850–869 18
870–889 20
890–909 24
910–929 27
930–949 20
950–969 17
970–989 10
990–1,009 16
1,010–1,029 13
1,030–1,049 12
1,050–1,069 9
1,070–1,089 8
1,090–1,109 7
1,110–1,129 9
1,130–1,149 2
1,150–1,162 5
1,163+ 100
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Kun Dai D-index placement in Materials Science in 2026

The chart shows the D-index (discipline H-index) distribution of Materials Science scientists ranked by Research.com in 2026. The highlighted bar marks where Kun Dai sits on this spectrum.

No. of scientists
200 400 600
Bar chart with 64 bars. Horizontal axis: D-Index, 40–41 to 165+. Vertical axis: number of scientists, 0 to 667. Most scientists, 667, have 52–53 D-Index. The last bar groups every scientist with 165 D-Index or more. The highlighted bar, 80–81 D-Index, is where this scientist sits. 40–41 D-Index: 211 scientists 42–43 D-Index: 450 scientists 44–45 D-Index: 612 scientists 46–47 D-Index: 612 scientists 48–49 D-Index: 598 scientists 50–51 D-Index: 657 scientists 52–53 D-Index: 667 scientists 54–55 D-Index: 621 scientists 56–57 D-Index: 597 scientists 58–59 D-Index: 610 scientists 60–61 D-Index: 587 scientists 62–63 D-Index: 606 scientists 64–65 D-Index: 533 scientists 66–67 D-Index: 490 scientists 68–69 D-Index: 469 scientists 70–71 D-Index: 378 scientists 72–73 D-Index: 421 scientists 74–75 D-Index: 359 scientists 76–77 D-Index: 323 scientists 78–79 D-Index: 299 scientists 80–81 D-Index: 230 scientists 82–83 D-Index: 210 scientists 84–85 D-Index: 195 scientists 86–87 D-Index: 203 scientists 88–89 D-Index: 175 scientists 90–91 D-Index: 175 scientists 92–93 D-Index: 142 scientists 94–95 D-Index: 121 scientists 96–97 D-Index: 117 scientists 98–99 D-Index: 107 scientists 100–101 D-Index: 88 scientists 102–103 D-Index: 85 scientists 104–105 D-Index: 68 scientists 106–107 D-Index: 62 scientists 108–109 D-Index: 57 scientists 110–111 D-Index: 45 scientists 112–113 D-Index: 49 scientists 114–115 D-Index: 50 scientists 116–117 D-Index: 34 scientists 118–119 D-Index: 38 scientists 120–121 D-Index: 37 scientists 122–123 D-Index: 29 scientists 124–125 D-Index: 28 scientists 126–127 D-Index: 24 scientists 128–129 D-Index: 33 scientists 130–131 D-Index: 28 scientists 132–133 D-Index: 21 scientists 134–135 D-Index: 20 scientists 136–137 D-Index: 23 scientists 138–139 D-Index: 17 scientists 140–141 D-Index: 12 scientists 142–143 D-Index: 17 scientists 144–145 D-Index: 21 scientists 146–147 D-Index: 13 scientists 148–149 D-Index: 11 scientists 150–151 D-Index: 14 scientists 152–153 D-Index: 13 scientists 154–155 D-Index: 9 scientists 156–157 D-Index: 10 scientists 158–159 D-Index: 7 scientists 160–161 D-Index: 4 scientists 162–163 D-Index: 4 scientists 164 D-Index: 3 scientists 165+ D-Index: 98 scientists
40–41 D-Index 165+

This scientist: 81 D-Index — 80th percentile

80% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 165 D-Index or more.

View D-Index distribution as a table
Number of Materials Science scientists by D-index, Research.com 2026 ranking edition. Based on 12,847 ranked scientists.
D-Index Scientists This scientist
40–41 211
42–43 450
44–45 612
46–47 612
48–49 598
50–51 657
52–53 667
54–55 621
56–57 597
58–59 610
60–61 587
62–63 606
64–65 533
66–67 490
68–69 469
70–71 378
72–73 421
74–75 359
76–77 323
78–79 299
80–81 230 81
82–83 210
84–85 195
86–87 203
88–89 175
90–91 175
92–93 142
94–95 121
96–97 117
98–99 107
100–101 88
102–103 85
104–105 68
106–107 62
108–109 57
110–111 45
112–113 49
114–115 50
116–117 34
118–119 38
120–121 37
122–123 29
124–125 28
126–127 24
128–129 33
130–131 28
132–133 21
134–135 20
136–137 23
138–139 17
140–141 12
142–143 17
144–145 21
146–147 13
148–149 11
150–151 14
152–153 13
154–155 9
156–157 10
158–159 7
160–161 4
162–163 4
164 3
165+ 98
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Overview

Kun Dai is affiliated with Zhengzhou University in China and has an extensive publication record in engineering and materials science. Their research spans various subfields, including biomedical engineering, polymers and plastics, materials chemistry, electronic, optical and magnetic materials, as well as electrical and electronic engineering.

Their work covers multiple key topics within materials science and engineering, focusing on advanced sensor and energy harvesting materials, conducting polymers and their applications, tactile and sensory interactions, electromagnetic wave absorption materials, advanced antenna and metasurface technologies, advanced materials and mechanics, and dielectric materials and actuators.

Kun Dai has contributed to a number of recent papers, some of which include:

  • Ultra-Stretchable, durable and conductive hydrogel with hybrid double network as high performance strain sensor and stretchable triboelectric nanogenerator (2020, Nano Energy)
  • Lightweight and Robust Carbon Nanotube/Polyimide Foam for Efficient and Heat-Resistant Electromagnetic Interference Shielding and Microwave Absorption (2020, ACS Applied Materials & Interfaces)
  • Environment Tolerant Conductive Nanocomposite Organohydrogels as Flexible Strain Sensors and Power Sources for Sustainable Electronics (2021, Advanced Functional Materials)
  • Asymmetric conductive polymer composite foam for absorption dominated ultra-efficient electromagnetic interference shielding with extremely low reflection characteristics (2020, Journal of Materials Chemistry A)
  • Ultra-stretchable triboelectric nanogenerator as high-sensitive and self-powered electronic skins for energy harvesting and tactile sensing (2020, Nano Energy)

Frequent collaborators include:

  • Chuntai Liu
  • Guoqiang Zheng
  • Changyu Shen
  • Wei Zhai

Kun Dai's work is often published in venues such as:

  • SSRN Electronic Journal
  • Chemical Engineering Journal
  • Nano Energy
  • Advanced Functional Materials
  • Composites Part B Engineering

Best Publications

  • Electrically conductive polymer composites for smart flexible strain sensors: a critical review

    Hu Liu;Hu Liu;Qianming Li;Shuaidi Zhang;Rui Yin

  • Lightweight conductive graphene/thermoplastic polyurethane foams with ultrahigh compressibility for piezoresistive sensing

    Hu Liu;Hu Liu;Mengyao Dong;Wenju Huang;Jiachen Gao

  • Electrically conductive thermoplastic elastomer nanocomposites at ultralow graphene loading levels for strain sensor applications

    Hu Liu;Yilong Li;Kun Dai;Guoqiang Zheng

  • Electrically conductive strain sensing polyurethane nanocomposites with synergistic carbon nanotubes and graphene bifillers

    Hu Liu;Hu Liu;Jiachen Gao;Wenju Huang;Kun Dai

  • Flexible electrically resistive-type strain sensors based on reduced graphene oxide-decorated electrospun polymer fibrous mats for human motion monitoring

    Yalong Wang;Ji Hao;Zhenqi Huang;Guoqiang Zheng

  • Continuously prepared highly conductive and stretchable SWNT/MWNT synergistically composited electrospun thermoplastic polyurethane yarns for wearable sensing

    Yahong Li;Bing Zhou;Guoqiang Zheng;Xianhu Liu

  • A highly stretchable and stable strain sensor based on hybrid carbon nanofillers/polydimethylsiloxane conductive composites for large human motions monitoring

    Yanjun Zheng;Yilong Li;Kun Dai;Kun Dai;Yan Wang

  • The effect of filler dimensionality on the electromechanical performance of polydimethylsiloxane based conductive nanocomposites for flexible strain sensors

    Yanjun Zheng;Yilong Li;Zeyu Li;Yalong Wang

  • Ultra-Stretchable, durable and conductive hydrogel with hybrid double network as high performance strain sensor and stretchable triboelectric nanogenerator

    Hongling Sun;Yi Zhao;Chunfeng Wang;Chunfeng Wang;Kangkang Zhou

  • Significant Stretchability Enhancement of a Crack-Based Strain Sensor Combined with High Sensitivity and Superior Durability for Motion Monitoring.

    Yujie Zhou;Pengfei Zhan;Miaoning Ren;Guoqiang Zheng

  • Lightweight and Robust Carbon Nanotube/Polyimide Foam for Efficient and Heat-Resistant Electromagnetic Interference Shielding and Microwave Absorption.

    Yue-Yi Wang;Zi-Han Zhou;Chang-Ge Zhou;Wen-Jin Sun

  • Environment Tolerant Conductive Nanocomposite Organohydrogels as Flexible Strain Sensors and Power Sources for Sustainable Electronics

    Hongling Sun;Yi Zhao;Sulin Jiao;Chunfeng Wang

  • Highly stretchable and durable strain sensor based on carbon nanotubes decorated thermoplastic polyurethane fibrous network with aligned wave-like structure

    Miaoning Ren;Yujie Zhou;Yan Wang;Guoqiang Zheng

  • Flexible and Lightweight Pressure Sensor Based on Carbon Nanotube/Thermoplastic Polyurethane-Aligned Conductive Foam with Superior Compressibility and Stability

    Wenju Huang;Kun Dai;Kun Dai;Yue Zhai;Hu Liu

  • Asymmetric conductive polymer composite foam for absorption dominated ultra-efficient electromagnetic interference shielding with extremely low reflection characteristics

    Hongji Duan;Huixin Zhu;Jiefeng Gao;Ding-Xiang Yan

  • Carbon Nanotubes-Adsorbed Electrospun PA66 Nanofiber Bundles with Improved Conductivity and Robust Flexibility.

    Xiaoyang Guan;Guoqiang Zheng;Kun Dai;Chuntai Liu

  • Comparative assessment of the strain-sensing behaviors of polylactic acid nanocomposites: reduced graphene oxide or carbon nanotubes

    Chao Hu;Zeyu Li;Yalong Wang;Jiachen Gao

  • Electrically conductive carbon black (CB) filled in situ microfibrillar poly(ethylene terephthalate) (PET)/polyethylene (PE) composite with a selective CB distribution

    Kun Dai;Xiang-Bin Xu;Zhong-Ming Li

  • Ultra-stretchable triboelectric nanogenerator as high-sensitive and self-powered electronic skins for energy harvesting and tactile sensing

    Kangkang Zhou;Yi Zhao;Xiupeng Sun;Zuqing Yuan

  • Flexible and wearable carbon black/thermoplastic polyurethane foam with a pinnate-veined aligned porous structure for multifunctional piezoresistive sensors

    Yue Zhai;Yunfei Yu;Kangkang Zhou;Zhigeng Yun

  • Development of Novel Acidizing Inhibitors for Carbon Steel Corrosion in 15% Boiling Hydrochloric Acid

    A. R. Sathiya Priya;V. S. Muralidharan;A. Subramania

  • Organic vapor sensing behaviors of conductive thermoplastic polyurethane–graphene nanocomposites

    Hu Liu;Hu Liu;Wenju Huang;Xinru Yang;Kun Dai

Frequent Co-Authors

Chuntai Liu
Chuntai Liu Zhengzhou University
Changyu Shen
Changyu Shen Chinese Academy of Sciences
Guoqiang Zheng
Guoqiang Zheng Zhengzhou University
Zhong-Ming Li
Zhong-Ming Li Sichuan University
Zhanhu Guo
Zhanhu Guo Northumbria University
Hu Liu
Hu Liu Zhengzhou University
Ding-Xiang Yan
Ding-Xiang Yan Sichuan University
Xianhu Liu
Xianhu Liu Zhengzhou University
Xingru Yan
Xingru Yan University of Tennessee at Knoxville
Jiang Guo
Jiang Guo University of Tennessee at Knoxville

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