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D-Index & Metrics

Materials Science

D-Index
66
Citations
16364
World Ranking
5320
National Ranking
1388

Ning Pan 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 Ning Pan 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: 262 publications — 50th percentile

50% of scientists in this discipline score the same or lower.

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

Ning Pan 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 Ning Pan 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: 66 D-Index — 59th percentile

59% of scientists in this discipline score the same or lower.

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

Overview

Ning Pan is affiliated with the University of California, Davis in the United States and specializes primarily in the field of Engineering. Their research spans multiple subfields, including Radiology, Nuclear Medicine and Imaging; Materials Chemistry; Biomedical Engineering; Ecology; and Computer Vision and Pattern Recognition.

Their work covers several main topics, such as Radiomics and Machine Learning in Medical Imaging, Plant Water Relations and Carbon Dynamics, Medical Image Segmentation Techniques, Structural Analysis and Optimization, Textile Materials and Evaluations, Advanced X-ray and CT Imaging, and Remote Sensing in Agriculture.

Among recent publications associated with Ning Pan are:

  • Inconsistent changes in NPP and LAI determined from the parabolic LAI versus NPP relationship, 2021, Ecological Indicators
  • Facile synthesis, antibacterial mechanisms and cytocompatibility of Ag-MnFe2O4 magnetic nanoparticles, 2020, Ceramics International

Frequent coauthors who have collaborated extensively with Ning Pan include Huaifei Hu, Shuai Wang, Bojie Fu, Tao Fu, and Jian Feng.

The primary venues where Ning Pan has published include:

  • Textile Research Journal
  • Chemical Engineering Journal
  • Ceramics International
  • Environmental Pollution
  • Quantitative Imaging in Medicine and Surgery

Best Publications

  • Supercapacitors performance evaluation

    Sanliang Zhang;Ning Pan

  • Predictions of effective physical properties of complex multiphase materials

    Moran Wang;Ning Pan

  • Mesoscopic predictions of the effective thermal conductivity for microscale random porous media.

    Moran Wang;Jinku Wang;Ning Pan;Shiyi Chen

  • Studying the mechanisms of titanium dioxide as ultraviolet‐blocking additive for films and fabrics by an improved scheme

    Hongying Yang;Sukang Zhu;Ning Pan

  • High power density supercapacitor electrodes of carbon nanotube films by electrophoretic deposition

    Chunsheng Du;Ning Pan

  • High power density supercapacitors using locally aligned carbon nanotube electrodes

    Chunsheng Du;Jeff Yeh;Ning Pan

  • Supercapacitors using carbon nanotubes films by electrophoretic deposition

    Chunsheng Du;Ning Pan

  • Modeling and prediction of the effective thermal conductivity of random open-cell porous foams

    Moran Wang;Ning Pan

  • Pancreatic β Cells Require NeuroD to Achieve and Maintain Functional Maturity

    Chunyan Gu;Gretchen H. Stein;Ning Pan;Sandra Goebbels

  • SUPERCAPACITIVE IONTRONIC NANOFABRIC SENSING

    Ruya Li;Yang Si;Zijie Zhu;Yaojun Guo

  • High energy density supercapacitors from lignin derived submicron activated carbon fibers in aqueous electrolytes

    Sixiao Hu;Sanliang Zhang;Ning Pan;You Lo Hsieh

  • Thermal conductivity enhancement of carbon fiber composites

    Moran Wang;Qinjun Kang;Ning Pan

  • Lattice Boltzmann modeling of the effective thermal conductivity for fibrous materials

    Moran Wang;Jihuan He;Jianyong Yu;Ning Pan;Ning Pan

  • KOH modified graphene nanosheets for supercapacitor electrodes

    Yueming Li;Marshall van Zijll;Shirley Chiang;Ning Pan

  • Theory of the Compression Hysteresis of Fibrous Assemblies

    Garth A. Carnaby;N. Pan

  • Thermo-electro-hydrodynamic model for electrospinning process

    Yu Qin Wan;Qian Guo;Ning Pan

  • Enzymatic Hydrolysis of Cotton, Linen, Ramie, and Viscose Rayon Fabrics

    G. Buschle-Diller;S.H. Zeronian;N. Pan;M.Y. Yoon

  • Vascular mimetics based on microfluidics for imaging the leukocyte–endothelial inflammatory response

    Ulrich Y. Schaff;Malcolm M. Q. Xing;Kathleen K. Lin;Ning Pan

  • Experimental Methods for Measuring Fabric Mechanical Properties: A Review and Analysis

    Richard J. Bassett;Ron Postle;Ning Pan

  • Thermal and moisture transport in fibrous materials

    N Pan;P Gibson

Frequent Co-Authors

Moran Wang
Moran Wang Tsinghua University
Qun Chen
Qun Chen Tsinghua University
Zeng-Yuan Guo
Zeng-Yuan Guo Tsinghua University
Tingrui Pan
Tingrui Pan University of California, Davis
Malcolm Xing
Malcolm Xing University of Manitoba
Shiyi Chen
Shiyi Chen Southern University of Science and Technology
Jinlian Hu
Jinlian Hu City University of Hong Kong
Ji-Huan He
Ji-Huan He Soochow University
Lijun Qu
Lijun Qu Qingdao University
Gang Sun
Gang Sun University of California, Davis

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