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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 68 4764 4611 1469 1463 951 22042

Dawei Zhang publications per year

The chart shows the history of publications by Dawei Zhang between 1999 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Dawei Zhang published across 27 years, from 1999 to 2025, averaging 53.5 papers a year. Output peaked at 201 publications in 2022. 198 of the 1,445 publications appeared in the last two years.

No. of publications
50 100 150 200
Bar chart. Horizontal axis: year, 1999 to 2025. Vertical axis: number of publications, 0 to 201. Peak 201 publications in 2022. 1999: 1 publication 2000: 0 publications 2001: 0 publications 2002: 1 publication 2003: 0 publications 2004: 5 publications 2005: 7 publications 2006: 3 publications 2007: 8 publications 2008: 21 publications 2009: 20 publications 2010: 22 publications 2011: 24 publications 2012: 27 publications 2013: 50 publications 2014: 58 publications 2015: 62 publications 2016: 68 publications 2017: 82 publications 2018: 76 publications 2019: 69 publications 2020: 115 publications 2021: 148 publications 2022: 201 publications 2023: 179 publications 2024: 137 publications 2025: 61 publications
1999 2025

1,445 publications in total across all disciplines

View publications per year as a table
Dawei Zhang: publications per year, 1999 to 2025
Year Publications
1999 1
2000 0
2001 0
2002 1
2003 0
2004 5
2005 7
2006 3
2007 8
2008 21
2009 20
2010 22
2011 24
2012 27
2013 50
2014 58
2015 62
2016 68
2017 82
2018 76
2019 69
2020 115
2021 148
2022 201
2023 179
2024 137
2025 61
Total 1,445
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Dawei Zhang publications per year - data summary

  • Dawei Zhang, a Materials Science scholar from University of Shanghai for Science and Technology, has 1,445 publications recorded across 27 years, from 1999 to 2025.
  • The oldest publication on record dates to 1999 and the most recent to 2025.
  • The most productive year is 2022, with 201 publications.
  • The least productive years with any output are 1999 and 2002, with 1 publication each.
  • 3 of the 27 years in the span carry no publications at all (2000, 2001 and 2003).
  • The rate of publication averages 53.5 papers per year over the whole span, or 60.2 per year counting only the 24 years with at least one publication.
  • The last 5 years on the chart (2021-2025) hold 726 publications, 50% of the career total.
  • Split into equal eras - 1999-2007: 25 publications (2.8 per year); 2008-2016: 352 publications (39.1 per year); 2017-2025: 1,068 publications (118.7 per year).
  • Comparing the opening and closing eras, the overall trend of publication is rising.

Dawei Zhang 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 Dawei Zhang 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, 950–969 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: 951 publications — 98th percentile

98% 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
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 17 951
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
Download as CSV

Dawei Zhang publication distribution in Materials Science in 2026 - data summary

  • The chart plots the publication count of all 12,847 Materials Science scientists ranked by Research.com in 2026, grouped into 57 ranges running from 50–69 to 1,163+ publications.
  • Dawei Zhang, a Materials Science scholar from University of Shanghai for Science and Technology, records 951 publications - the 98th percentile of the discipline.
  • 98% of ranked Materials Science scientists score the same or lower than Dawei Zhang, and about 2% score higher.
  • The median of the discipline falls in the 250–269 publications range, and Dawei Zhang ranks above the median.
  • The most crowded range is 190–209 publications, holding 891 scientists (7% of the field).
  • 70% of the field sits in the lowest quarter of the value range (up to 330–349 publications), so the distribution is heavily right-skewed and high scores are rare.
  • The final bar has no upper bound: it groups every scientist with 1,163 publications or more, 100 scientists in all (<1% of the field).

Dawei Zhang 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 Dawei Zhang 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, 68–69 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: 68 D-Index — 63rd percentile

63% 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 68
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
Download as CSV

Dawei Zhang D-index placement in Materials Science in 2026 - data summary

  • The chart plots the discipline H-index (D-index) of all 12,847 Materials Science scientists ranked by Research.com in 2026, grouped into 64 ranges running from 40–41 to 165+ D-Index.
  • Dawei Zhang, a Materials Science scholar from University of Shanghai for Science and Technology, records 68 D-Index - the 63rd percentile of the discipline.
  • 63% of ranked Materials Science scientists score the same or lower than Dawei Zhang, and about 37% score higher.
  • The median of the discipline falls in the 62–63 D-Index range, and Dawei Zhang ranks above the median.
  • The most crowded range is 52–53 D-Index, holding 667 scientists (5% of the field).
  • 68% of the field sits in the lowest quarter of the value range (up to 70–71 D-Index), so the distribution is heavily right-skewed and high scores are rare.
  • The final bar has no upper bound: it groups every scientist with 165 D-Index or more, 98 scientists in all (<1% of the field).

Overview

Dawei Zhang is affiliated with the University of Shanghai for Science and Technology in China. Their research primarily focuses on materials science and engineering, concentrating on corrosion behavior, inhibition, and related material durability challenges.

Their work spans several main fields of study:

  • Materials Science
  • Engineering

Within these areas, Zhang's subfields of study include:

  • Materials Chemistry
  • Mechanical Engineering
  • Civil and Structural Engineering
  • Metals and Alloys
  • Polymers and Plastics

Zhang's research addresses key topics such as:

  • Corrosion Behavior and Inhibition
  • Concrete Corrosion and Durability
  • Hydrogen Embrittlement and Corrosion Behaviors in Metals
  • Polymer Composites and Self-Healing
  • Non-Destructive Testing Techniques
  • Marine Biology and Environmental Chemistry
  • Anodic Oxide Films and Nanostructures

Frequent publication venues for Zhang's work include:

  • Corrosion Science
  • SSRN Electronic Journal
  • npj Materials Degradation
  • Bioelectrochemistry
  • Journal of Material Science and Technology

Zhang has collaborated regularly with several coauthors, among them:

  • Hongchang Qian
  • Lingwei Ma
  • Xiaogang Li
  • Weiwei Chang
  • Yuntian Lou

Examples of recent papers authored by Zhang include:

  • Dual-action self-healing protective coatings with photothermal responsive corrosion inhibitor nanocontainers, 2020, Chemical Engineering Journal
  • Reviewing machine learning of corrosion prediction in a data-oriented perspective, 2022, npj Materials Degradation
  • A durable and photothermal superhydrophobic coating with entwinned CNTs-SiO2 hybrids for anti-icing applications, 2021, Chemical Engineering Journal
  • A feasible method to improve the protection ability of metal by functionalized carbon dots as environment-friendly corrosion inhibitor, 2020, Journal of Cleaner Production
  • Towards understanding and prediction of atmospheric corrosion of an Fe/Cu corrosion sensor via machine learning, 2020, Corrosion Science

Best Publications

  • The cost of corrosion in China

    Baorong Hou;Xiaogang Li;Xiumin Ma;Cuiwei Du

  • Efficient image super-resolution using pixel attention

    Unknown

  • A new ultrafast superionic Li-conductor: ion dynamics in Li 11 Si 2 PS 12 and comparison with other tetragonal LGPS-type electrolytes

    Unknown

  • MOF‐Derived Hollow Co9S8 Nanoparticles Embedded in Graphitic Carbon Nanocages with Superior Li‐Ion Storage

    Unknown

  • 160 h of chemical-looping combustion in a 10 kW reactor system with a NiO-based oxygen carrier

    Unknown

  • The response of wire rope strands to axial tensile loads—Part I. Experimental results and theoretical predictions

    Unknown

  • Direct microbial electron uptake as a mechanism for stainless steel corrosion in aerobic environments.

    Unknown

  • Single‐Atom Catalytic Materials for Advanced Battery Systems

    Unknown

  • Photo-electro-catalysis enhancement on carbon nanotubes/titanium dioxide (CNTs/TiO2) composite prepared by a novel surfactant wrapping sol–gel method

    Unknown

  • Enhanced adsorption for the removal of tetracycline hydrochloride (TC) using ball-milled biochar derived from crayfish shell

    Unknown

  • Reversible anionic redox activity in Na 3 RuO 4 cathodes: a prototype Na-rich layered oxide

    Unknown

  • One ion to catch them all: Targeted high-precision Boltzmann thermometry over a wide temperature range with Gd3.

    Dechao Yu;Dechao Yu;Huaiyong Li;Huaiyong Li;Dawei Zhang;Qinyuan Zhang

  • Hyperspectral anomaly detection using deep learning: A review

    Unknown

  • Emerging strategies in enhancing singlet oxygen generation of nano-photosensitizers toward advanced phototherapy

    Unknown

  • Two birds with one stone: Nanocontainers with synergetic inhibition and corrosion sensing abilities towards intelligent self-healing and self-reporting coating

    Unknown

  • Microbiologically influenced corrosion inhibition mechanisms in corrosion protection: A review.

    Yuntian Lou;Weiwei Chang;Tianyu Cui;Jinke Wang

  • Novel Proteomic Tools Reveal Essential Roles of SRP and Importance of Proper Membrane Protein Biogenesis

    Dawei Zhang;Michael J. Sweredoski;Robert L. J. Graham;Sonja Hess

  • New insights into the mechanism of localised corrosion induced by TiN-containing inclusions in high strength low alloy steel

    Unknown

  • Conditional sequential modulation for efficient global image retouching

    Unknown

  • Evaluating the synergistic effect of maple leaves extract and iodide ions on corrosion inhibition of Q235 steel in H2SO4 solution

    Unknown

  • Metformin attenuates UVA-induced skin photoaging by suppressing mitophagy and the PI3K/AKT/mTOR pathway

    Unknown

  • Kinetic analysis of a Cu-based oxygen carrier: Relevance of temperature and oxygen partial pressure on reduction and oxidation reactions rates in Chemical Looping with Oxygen�…

    Unknown

  • Kinetics, isotherm and chemical speciation analysis of Hg (Ⅱ) adsorption over oxygen-containing MXene adsorbent

    Unknown

  • A Calix [3] acridan‐Based Host–Guest Cocrystal Exhibiting Efficient Thermally Activated Delayed Fluorescence

    Unknown

  • Design and fabrication of bipolar plates for PEM water electrolyser

    Unknown

  • Risk assessment for environmental health

    Unknown

  • Hamiltonian Hopping for Efficient Chiral Mode Switching in Encircling Exceptional Points.

    Aodong Li;Jianji Dong;Jian Wang;Ziwei Cheng

  • Voltammetric aptasensor for bisphenol A based on the use of a MWCNT/Fe3O4@gold nanocomposite

    Unknown

  • Biomimetic apposition compound eye fabricated using microfluidic-assisted 3D printing.

    Bo Dai;Liang Zhang;Chenglong Zhao;Hunter Bachman

  • Marine Biofilms with Significant Corrosion Inhibition Performance by Secreting Extracellular Polymeric Substances.

    Zhong Li;Zhong Li;Jianyuan Zhou;Jianyuan Zhou;Xinyi Yuan;Xinyi Yuan;Yan Xu;Yan Xu

  • Ultrafast and high-efficient self-healing epoxy coatings with active multiple hydrogen bonds for corrosion protection

    Tong Liu;Haichao Zhao;Dawei Zhang;Yuntian Lou

  • Improving atmospheric corrosion prediction through key environmental factor identification by random forest-based model

    Yuanjie Zhi;Yuanjie Zhi;Zhihui Jin;Zhihui Jin;Lin Lu;Tao Yang

  • Transition metal cation and phosphate anion electrochemical recognition in water by new polyaza ferrocene macrocyclic ligands

    Unknown

Frequent Co-Authors

Xiaogang Li
Xiaogang Li University of Science and Technology Beijing
Tamon Ueda
Tamon Ueda Shenzhen University
Cuiwei Du
Cuiwei Du University of Science and Technology Beijing
Xuesi Chen
Xuesi Chen Chinese Academy of Sciences
Zhiyong Liu
Zhiyong Liu University of Science and Technology Beijing
Haichao Zhao
Haichao Zhao Chinese Academy of Sciences
Herman Terryn
Herman Terryn Vrije Universiteit Brussel
John Z. H. Zhang
John Z. H. Zhang New York University
Chaofang Dong
Chaofang Dong University of Science and Technology Beijing
Liping Wang
Liping Wang Chinese Academy of Sciences

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