World's Best Scientists 2026 revealed!

D-Index & Metrics

Materials Science

D-Index
73
Citations
32423
World Ranking
3741
National Ranking
1020

Long Lin 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 Long Lin 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: 194 publications — 28th percentile

28% of scientists in this discipline score the same or lower.

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

Long Lin 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 Long Lin 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: 73 D-Index — 71st percentile

71% of scientists in this discipline score the same or lower.

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

Overview

Long Lin is affiliated with the Georgia Institute of Technology in the United States. Their research spans multiple areas within engineering and environmental science, with a focus on interdisciplinary applications of materials, structures, and energy systems.

Their publication record includes papers in several fields and venues, reflecting a diverse set of interests and expertise. Their recent works include the following papers:

  • "A Lightweight YOLOv5 Transmission Line Defect Detection Method Based on Coordinate Attention," 2022, published in the 2022 IEEE 6th Information Technology and Mechatronics Engineering Conference (ITOEC)
  • "High-field magnetoelectric coupling and successive magnetic transitions in the Mn-doped polar antiferromagnet Ni3TeO6," 2024, published in Physical Review B
  • "Enhancing Rooftop Photovoltaic Segmentation Using Spatial Feature Reconstruction and Multi-Scale Feature Aggregation," 2024, published in Energies
  • "A Hybrid RBF-PSO Framework for Real-Time Temperature Field Prediction and Hydration Heat Parameter Inversion in Mass Concrete Structures," 2025, published in Buildings
  • "Three-Dimensional Numerical Analyses of a Monitored Deep Excavation Pit: A Case Study in the Guangzhou Metro," 2025, also published in Buildings

Frequent coauthors contributing to their publications include:

  • J. H. Zhang
  • Cheng Dong
  • Ya-Ting Chang
  • Junfeng Wang
  • Chengliang Lu

Long Lin's research is published predominantly in venues such as:

  • Buildings
  • Physical Review B
  • 2022 IEEE 6th Information Technology and Mechatronics Engineering Conference (ITOEC)
  • Energies
  • SSRN Electronic Journal

Their main fields of study comprise engineering and environmental science. More specifically, Long Lin's work touches upon the following subfields:

  • Electronic, Optical and Magnetic Materials
  • Environmental Engineering
  • Civil and Structural Engineering
  • Condensed Matter Physics
  • Mechanical Engineering

The scientific topics covered in their research include:

  • Multiferroics and related materials
  • Magnetic and transport properties of perovskites and related materials
  • Advanced Condensed Matter Physics
  • Power Line Inspection Robots
  • Advanced Data and IoT Technologies
  • Vehicle License Plate Recognition
  • Photovoltaic System Optimization Techniques

Best Publications

  • Piezoelectricity of single-atomic-layer MoS2 for energy conversion and piezotronics.

    Wenzhuo Wu;Lei Wang;Yilei Li;Fan Zhang

  • Progress in triboelectric nanogenerators as a new energy technology and self-powered sensors

    Zhong Lin Wang;Zhong Lin Wang;Jun Chen;Long Lin

  • Transparent Triboelectric Nanogenerators and Self-Powered Pressure Sensors Based on Micropatterned Plastic Films

    Feng-Ru Fan;Long Lin;Guang Zhu;Wenzhuo Wu

  • Theoretical study of contact-mode triboelectric nanogenerators as an effective power source

    Simiao Niu;Sihong Wang;Long Lin;Ying Liu

  • Nanoscale Triboelectric-Effect-Enabled Energy Conversion for Sustainably Powering Portable Electronics

    Sihong Wang;Long Lin;Zhong Lin Wang;Zhong Lin Wang

  • Freestanding triboelectric-layer-based nanogenerators for harvesting energy from a moving object or human motion in contact and non-contact modes.

    Sihong Wang;Yannan Xie;Simiao Niu;Long Lin

  • Triboelectric nanogenerators as self-powered active sensors

    Sihong Wang;Long Lin;Zhong Lin Wang;Zhong Lin Wang

  • Pyroelectric nanogenerators for harvesting thermoelectric energy.

    Ya Yang;Wenxi Guo;Ken C. Pradel;Guang Zhu

  • Theory of Sliding‐Mode Triboelectric Nanogenerators

    Simiao Niu;Ying Liu;Sihong Wang;Long Lin

  • Sliding-Triboelectric Nanogenerators Based on In-Plane Charge- Separation Mechanism

    Sihong Wang;Long Lin;Yannan Xie;Qingshen Jing

  • Theoretical Investigation and Structural Optimization of Single-Electrode Triboelectric Nanogenerators

    Simiao Niu;Ying Liu;Sihong Wang;Long Lin

  • Triboelectric Active Sensor Array for Self-Powered Static and Dynamic Pressure Detection and Tactile Imaging

    Long Lin;Yannan Xie;Sihong Wang;Wenzhuo Wu

  • Maximum surface charge density for triboelectric nanogenerators achieved by ionized-air injection: methodology and theoretical understanding.

    Sihong Wang;Yannan Xie;Simiao Niu;Long Lin

  • Theory of freestanding triboelectric-layer-based nanogenerators

    Simiao Niu;Ying Liu;Xiangyu Chen;Sihong Wang

  • Water–Solid Surface Contact Electrification and its Use for Harvesting Liquid-Wave Energy

    Zong-Hong Lin;Gang Cheng;Long Lin;Sangmin Lee

  • Grating‐Structured Freestanding Triboelectric‐Layer Nanogenerator for Harvesting Mechanical Energy at 85% Total Conversion Efficiency

    Yannan Xie;Yannan Xie;Sihong Wang;Simiao Niu;Long Lin

  • Segmentally structured disk triboelectric nanogenerator for harvesting rotational mechanical energy.

    Long Lin;Sihong Wang;Yannan Xie;Qingshen Jing

  • Triboelectric–Pyroelectric–Piezoelectric Hybrid Cell for High‐Efficiency Energy‐Harvesting and Self‐Powered Sensing

    Yunlong Zi;Long Lin;Jie Wang;Sihong Wang

  • Self-powered system with wireless data transmission.

    Youfan Hu;Yan Zhang;Chen Xu;Long Lin

  • Rotary triboelectric nanogenerator based on a hybridized mechanism for harvesting wind energy

    Yannan Xie;Sihong Wang;Long Lin;Qingshen Jing

Frequent Co-Authors

Zhong Lin Wang
Zhong Lin Wang Georgia Institute of Technology
Sihong Wang
Sihong Wang University of Chicago
Simiao Niu
Simiao Niu Rutgers, The State University of New Jersey
Yu Sheng Zhou
Yu Sheng Zhou Georgia Institute of Technology
Youfan Hu
Youfan Hu Peking University
Yan Zhang
Yan Zhang University of Electronic Science and Technology of China
Yunlong Zi
Yunlong Zi Hong Kong University of Science and Technology
Qingshen Jing
Qingshen Jing University of Cambridge
Jie Wang
Jie Wang Chinese Academy of Sciences
Zong-Hong Lin
Zong-Hong Lin National Tsing Hua University

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