World's Best Scientists 2026 revealed!
Jiangdong Dai

Jiangdong Dai

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Materials Science 57 8079 7812 2346 2338 183 9477

Jiangdong Dai publications per year

The chart shows the history of publications by Jiangdong Dai between 1988 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Jiangdong Dai published across 38 years, from 1988 to 2025, averaging 5.9 papers a year. Output peaked at 27 publications in 2021. 32 of the 224 publications appeared in the last two years.

No. of publications
5 10 15 20 25
Bar chart. Horizontal axis: year, 1988 to 2025. Vertical axis: number of publications, 0 to 27. Peak 27 publications in 2021. 1988: 1 publication 1989: 0 publications 1990: 0 publications 1991: 0 publications 1992: 0 publications 1993: 0 publications 1994: 0 publications 1995: 0 publications 1996: 0 publications 1997: 0 publications 1998: 0 publications 1999: 0 publications 2000: 0 publications 2001: 1 publication 2002: 0 publications 2003: 0 publications 2004: 0 publications 2005: 0 publications 2006: 0 publications 2007: 0 publications 2008: 1 publication 2009: 0 publications 2010: 1 publication 2011: 7 publications 2012: 8 publications 2013: 7 publications 2014: 15 publications 2015: 13 publications 2016: 19 publications 2017: 9 publications 2018: 13 publications 2019: 17 publications 2020: 25 publications 2021: 27 publications 2022: 13 publications 2023: 15 publications 2024: 20 publications 2025: 12 publications
1988 2025

224 publications in total across all disciplines

View publications per year as a table
Jiangdong Dai: publications per year, 1988 to 2025
Year Publications
1988 1
1989 0
1990 0
1991 0
1992 0
1993 0
1994 0
1995 0
1996 0
1997 0
1998 0
1999 0
2000 0
2001 1
2002 0
2003 0
2004 0
2005 0
2006 0
2007 0
2008 1
2009 0
2010 1
2011 7
2012 8
2013 7
2014 15
2015 13
2016 19
2017 9
2018 13
2019 17
2020 25
2021 27
2022 13
2023 15
2024 20
2025 12
Total 224
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Jiangdong 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 Jiangdong 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, 170–189 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: 183 publications — 25th percentile

25% 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
170–189 850 183
190–209 891
210–229 862
230–249 766
250–269 726
270–289 665
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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Jiangdong 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 Jiangdong 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, 56–57 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: 57 D-Index — 39th percentile

39% 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 57
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
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

Jiangdong Dai is affiliated with Jiangsu University in China and has a research focus primarily in the fields of Environmental Science and Materials Science. Their scholarly work spans various subfields, including Water Science and Technology, Surfaces, Coatings and Films, Materials Chemistry, Renewable Energy, Sustainability and the Environment, and Biomedical Engineering.

Dai's research topics cover several areas of interest such as Membrane Separation Technologies, Surface Modification and Superhydrophobicity, Advanced Photocatalysis Techniques, Advanced oxidation water treatment, Adsorption and biosorption for pollutant removal, Advanced Sensor and Energy Harvesting Materials, and Analytical chemistry methods development.

The scientist has published notable papers that reflect these research themes. Selected papers include:

  • Robust Nacrelike Graphene Oxide-Calcium Carbonate Hybrid Mesh with Underwater Superoleophobic Property for Highly Efficient Oil/Water Separation, 2020, ACS Applied Materials & Interfaces

Frequent collaborators in the scientist's work include Jian Ye, Yongsheng Yan, Xiaohui Dai, Ruilong Zhang, and Chunxiang Li.

Jiangdong Dai's research outputs have appeared consistently in a range of scientific journals. The most common publication venues include:

  • SSRN Electronic Journal
  • Chemical Engineering Journal
  • Separation and Purification Technology
  • Journal of Membrane Science
  • Journal of Colloid and Interface Science

Best Publications

  • Selective adsorption behavior of Pb(II) by mesoporous silica SBA-15-supported Pb(II)-imprinted polymer based on surface molecularly imprinting technique.

    Yan Liu;Zhanchao Liu;Jie Gao;Jiangdong Dai

  • Photo-Fenton self-cleaning membranes with robust flux recovery for an efficient oil/water emulsion separation

    Atian Xie;Jiuyun Cui;Jin Yang;Yangyang Chen

  • Photo-Fenton self-cleaning PVDF/NH2-MIL-88B(Fe) membranes towards highly-efficient oil/water emulsion separation

    Atian Xie;Jiuyun Cui;Jin Yang;Yangyang Chen

  • Selective adsorption and separation of BPA from aqueous solution using novel molecularly imprinted polymers based on kaolinite/Fe3O4 composites

    Wenlu Guo;Wei Hu;Jianming Pan;Hongchun Zhou

  • Graphene oxide/Fe(III)-based metal-organic framework membrane for enhanced water purification based on synergistic separation and photo-Fenton processes

    Atian Xie;Jiuyun Cui;Jin Yang;Yangyang Chen

  • Facile preparation of grass-like structured NiCo-LDH/PVDF composite membrane for efficient oil–water emulsion separation

    Jiuyun Cui;Zhiping Zhou;Atian Xie;Qianqian Wang

  • Preparation of molecularly imprinted nanoparticles with superparamagnetic susceptibility through atom transfer radical emulsion polymerization for the selective recognition of tetracycline from aqueous medium.

    Jiangdong Dai;Jianming Pan;Longcheng Xu;Xiuxiu Li

  • Ultrahigh adsorption of typical antibiotics onto novel hierarchical porous carbons derived from renewable lignin via halloysite nanotubes-template and in-situ activation

    Atian Xie;Jiangdong Dai;Xiang Chen;Ping Ma

  • Robust Nacrelike Graphene Oxide-Calcium Carbonate Hybrid Mesh with Underwater Superoleophobic Property for Highly Efficient Oil/Water Separation.

    Jiangdong Dai;Lulu Wang;Yi Wang;Sujun Tian

  • Preparation of thermal-responsive magnetic molecularly imprinted polymers for selective removal of antibiotics from aqueous solution.

    Longcheng Xu;Jianming Pan;Jiangdong Dai;Xiuxiu Li

  • Molecularly Imprinted Fluorescent Test Strip for Direct, Rapid, and Visual Dopamine Detection in Tiny Amount of Biofluid

    Jixiang Wang;Jiangdong Dai;Yeqing Xu;Xiaohui Dai

  • 3D macroscopic superhydrophobic magnetic porous carbon aerogel converted from biorenewable popcorn for selective oil-water separation

    Jiangdong Dai;Ruilong Zhang;Wenna Ge;Atian Xie

  • Design of mesoporous silica hybrid materials as sorbents for the selective recovery of rare earth metals

    Xudong Zheng;Chun Wang;Jiangdong Dai;Weidong Shi

  • Novel pitaya-inspired well-defined core–shell nanospheres with ultrathin surface imprinted nanofilm from magnetic mesoporous nanosilica for highly efficient chloramphenicol removal

    Jiangdong Dai;Jinsong He;Atian Xie;Lin Gao

  • Lawn-like Co3O4@N-doped carbon-based catalytic self-cleaning membrane with peroxymonosulfate activation: A highly efficient singlet oxygen dominated process for sulfamethoxazole degradation

    Jian Ye;Jiangdong Dai;Chunxiang Li;Yongsheng Yan

  • Bioinspired synthesis of high-performance nanocomposite imprinted membrane by a polydopamine-assisted metal-organic method

    Yilin Wu;Xinlin Liu;Jiuyun Cui;Minjia Meng

  • Selective recognition of 2,4,5-trichlorophenol by temperature responsive and magnetic molecularly imprinted polymers based on halloysite nanotubes

    Jianming Pan;Bing Wang;Jiangdong Dai;Xiaohui Dai

  • Dual superlyophobic zeolitic imidazolate framework-8 modified membrane for controllable oil/water emulsion separation

    Atian Xie;Jiuyun Cui;Jin Yang;Yangyang Chen

  • Highly-controllable imprinted polymer nanoshell at the surface of magnetic halloysite nanotubes for selective recognition and rapid adsorption of tetracycline

    Jiangdong Dai;Xiao Wei;Zhijing Cao;Zhiping Zhou

  • Magnetic molecularly imprinted polymers based on attapulgite/Fe3O4 particles for the selective recognition of 2,4-dichlorophenol

    Jianming Pan;Longcheng Xu;Jiangdong Dai;Xiuxiu Li

  • Novel Graphene Oxide–Confined Nanospace Directed Synthesis of Glucose-Based Porous Carbon Nanosheets with Enhanced Adsorption Performance

    Atian Xie;Jiangdong Dai;Jiuyun Cui;Jihui Lang

Frequent Co-Authors

Yongsheng Yan
Yongsheng Yan Jiangsu University
Chunxiang Li
Chunxiang Li Jiangsu University
Jianming Pan
Jianming Pan Jiangsu University
Pengwei Huo
Pengwei Huo Jiangsu University
Weidong Shi
Weidong Shi Jiangsu University
Guoqing Pan
Guoqing Pan Jiangsu University
Jian Lu
Jian Lu Fujian Agriculture and Forestry University
Chunbo Liu
Chunbo Liu Jilin Normal University
Ming Gao
Ming Gao Huazhong University of Science and Technology
Changchang Ma
Changchang Ma Jiangsu University

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