World's Best Scientists 2026 revealed!

D-Index & Metrics

Materials Science

D-Index
51
Citations
13839
World Ranking
9752
National Ranking
2759

Qing Wan 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 Qing Wan sits on this spectrum.

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 publications 1,163+

This scientist: 173 publications — 21st percentile

21% of scientists in this discipline score the same or lower.

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

Qing Wan 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 Qing Wan sits on this spectrum.

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 D-Index 165+

This scientist: 51 D-Index — 24th percentile

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

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

Overview

Qing Wan is affiliated with Nanjing University in China and has a focused research portfolio within the fields of Engineering and Neuroscience. Their work spans several subfields, including Electrical and Electronic Engineering, Cognitive Neuroscience, Cellular and Molecular Neuroscience, Artificial Intelligence, and Biomedical Engineering.

Their research concentrates on topics such as Advanced Memory and Neural Computing, Neural Dynamics and Brain Function, Neural Networks and Reservoir Computing, CCD and CMOS Imaging Sensors, Neuroscience and Neural Engineering, Photoreceptor and Optogenetics Research, and Ferroelectric and Negative Capacitance Devices.

Qing Wan has published extensively in several scientific venues. Frequent publication outlets include:

  • Applied Physics Letters
  • Nature Communications
  • IEEE Electron Device Letters
  • Advanced Materials
  • Nano Energy

Some of their recent papers include:

  • "CRISPR-Cas12a-driven MXene-PEDOT:PSS piezoresistive wireless biosensor," 2020, Nano Energy
  • "Vertically integrated spiking cone photoreceptor arrays for color perception," 2023, Nature Communications
  • "Reservoir computing based on electric-double-layer coupled InGaZnO artificial synapse," 2023, Applied Physics Letters
  • "A Spiking Stochastic Neuron Based on Stacked InGaZnO Memristors," 2021, Advanced Electronic Materials
  • "IGZO nanofiber photoelectric neuromorphic transistors with indium ratio tuned synaptic plasticity," 2022, Applied Physics Letters

Collaborative work is a component of their research process, and frequent co-authors include:

  • Changjin Wan
  • Huiwu Mao
  • Xiangjing Wang
  • Shuo Ke
  • Kailu Shi

The range of topics and venues, combined with the diversity of collaborators, reflects an active engagement with multidisciplinary approaches in electronic engineering and neuroscience. Their work on neuromorphic devices and neural computing contributes to ongoing advancements in these areas.

Best Publications

  • Fabrication and ethanol sensing characteristics of ZnO nanowire gas sensors

    Q. Wan;Q. H. Li;Y. J. Chen;T. H. Wang

  • Artificial synapse network on inorganic proton conductor for neuromorphic systems

    Li Qiang Zhu;Chang Jin Wan;Li Qiang Guo;Yi Shi

  • Gas Sensors Based on Semiconducting Metal Oxide One-Dimensional Nanostructures

    Jin Huang;Qing Wan

  • Oxygen sensing characteristics of individual ZnO nanowire transistors

    Q. H. Li;Y. X. Liang;Q. Wan;T. H. Wang

  • Low-field electron emission from tetrapod-like ZnO nanostructures synthesized by rapid evaporation

    Q. Wan;K. Yu;T. H. Wang;C. L. Lin

  • Fully transparent thin-film transistor devices based on SnO2 nanowires.

    Eric N. Dattoli;Qing Wan;Wei Guo;Yanbin Chen

  • Electronic transport through individual ZnO nanowires

    Q. H. Li;Q. Wan;Y. X. Liang;T. H. Wang

  • Contact-controlled sensing properties of flowerlike ZnO nanostructures

    P. Feng;Q. Wan;T. H. Wang

  • Single-crystalline Sb-doped SnO2 nanowires: synthesis and gas sensor application

    Q. Wan;T. H. Wang

  • Microwave absorption properties of the ZnO nanowire-polyester composites

    Y. J. Chen;M. S. Cao;T. H. Wang;Q. Wan

  • Surface-depletion controlled gas sensing of ZnO nanorods grown at room temperature

    C. C. Li;Z. F. Du;L. M. Li;H. C. Yu

  • Enhanced photocatalytic activity of ZnO nanotetrapods

    Q. Wan;T. H. Wang;J. C. Zhao

  • Room-temperature hydrogen storage characteristics of ZnO nanowires

    Q. Wan;C. L. Lin;X. B. Yu;T. H. Wang

  • Proton-Conducting Graphene Oxide-Coupled Neuron Transistors for Brain-Inspired Cognitive Systems.

    Chang Jin Wan;Chang Jin Wan;Li Qiang Zhu;Yang Hui Liu;Ping Feng

  • Positive temperature coefficient resistance and humidity sensing properties of Cd-doped ZnO nanowires

    Q. Wan;Q. H. Li;Y. J. Chen;T. H. Wang

  • High-performance transparent conducting oxide nanowires.

    Qing Wan;Eric N. Dattoli;Wayne Y. Fung;Wei Guo

  • Stable field emission from tetrapod-like ZnO nanostructures

    Q. H. Li;Q. Wan;Y. J. Chen;T. H. Wang

  • Transparent metallic Sb-doped SnO2 nanowires

    Qing Wan;Eric N. Dattoli;Wei Lu

  • integrations and challenges of novel high-k gate stacks in advanced cmos technology

    Gang He;Gang He;Liqiang Zhu;Zhaoqi Sun;Qing Wan

  • SnO2 nanowhiskers and their ethanol sensing characteristics

    Z Ying;Q Wan;Z T Song;S L Feng

  • Artificial synapse network on inorganic proton conductor for neuromorphic systems. Nat Commun 5:3158

    Li Qiang Zhu;Chang Jin Wan;Li Qiang Guo;Yi Shi

Frequent Co-Authors

Jie Jiang
Jie Jiang Central South University
Li Qiang Zhu
Li Qiang Zhu Ningbo University
Bingsuo Zou
Bingsuo Zou Guangxi University
Wei Lu
Wei Lu University of Michigan–Ann Arbor
Anlian Pan
Anlian Pan Hunan University
Yi Shi
Yi Shi Nanjing University
Ke-Qiu Chen
Ke-Qiu Chen Hunan University
Taihong Wang
Taihong Wang Southern University of Science and Technology
Zhitang Song
Zhitang Song Chinese Academy of Sciences
Thomas Bjørnholm
Thomas Bjørnholm Villum Foundation

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Best Scientists Citing Qing Wan

Trending Scientists

Recently Published Articles