World's Best Scientists 2026 revealed!

D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
70
Citations
18083
World Ranking
392
National Ranking
181

Materials Science

D-Index
79
Citations
18295
World Ranking
2882
National Ranking
809

Guoqiang Li publication distribution in Mechanical and Aerospace Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Mechanical and Aerospace Engineering in 2026. The highlighted bar marks where Guoqiang Li sits on this spectrum.

47–56 publications: 10 scientists 57–66 publications: 23 scientists 67–76 publications: 32 scientists 77–86 publications: 62 scientists 87–96 publications: 67 scientists 97–106 publications: 91 scientists 107–116 publications: 113 scientists 117–126 publications: 115 scientists 127–136 publications: 130 scientists 137–146 publications: 140 scientists 147–156 publications: 155 scientists 157–166 publications: 132 scientists 167–176 publications: 133 scientists 177–186 publications: 130 scientists 187–196 publications: 140 scientists 197–206 publications: 115 scientists 207–216 publications: 125 scientists 217–226 publications: 117 scientists 227–236 publications: 99 scientists 237–246 publications: 92 scientists 247–256 publications: 100 scientists 257–266 publications: 95 scientists 267–276 publications: 88 scientists 277–286 publications: 77 scientists 287–296 publications: 74 scientists 297–306 publications: 74 scientists 307–316 publications: 62 scientists 317–326 publications: 70 scientists 327–336 publications: 59 scientists 337–346 publications: 58 scientists 347–356 publications: 45 scientists 357–366 publications: 44 scientists 367–376 publications: 36 scientists 377–386 publications: 41 scientists 387–396 publications: 32 scientists 397–406 publications: 23 scientists 407–416 publications: 28 scientists 417–426 publications: 27 scientists 427–436 publications: 25 scientists 437–446 publications: 23 scientists 447–456 publications: 23 scientists 457–466 publications: 20 scientists 467–476 publications: 12 scientists 477–486 publications: 24 scientists 487–496 publications: 18 scientists 497–506 publications: 12 scientists 507–516 publications: 13 scientists 517–526 publications: 21 scientists 527–536 publications: 12 scientists 537–546 publications: 8 scientists 547–556 publications: 16 scientists 557–566 publications: 3 scientists 567–576 publications: 11 scientists 577–586 publications: 6 scientists 587–596 publications: 5 scientists 597–606 publications: 6 scientists 607–616 publications: 7 scientists 617–626 publications: 7 scientists 627–636 publications: 10 scientists 637–646 publications: 4 scientists 647–656 publications: 3 scientists 657–658 publications: 2 scientists 659+ publications: 100 scientists
47 publications 659+

This scientist: 447 publications — 90th percentile

90% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 659 publications or more.

Guoqiang Li D-index placement in Mechanical and Aerospace Engineering in 2026

The chart shows the D-index (discipline H-index) distribution of Mechanical and Aerospace Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Guoqiang Li sits on this spectrum.

30 D-Index: 83 scientists 31 D-Index: 113 scientists 32 D-Index: 144 scientists 33 D-Index: 153 scientists 34 D-Index: 189 scientists 35 D-Index: 158 scientists 36 D-Index: 139 scientists 37 D-Index: 127 scientists 38 D-Index: 130 scientists 39 D-Index: 126 scientists 40 D-Index: 104 scientists 41 D-Index: 100 scientists 42 D-Index: 107 scientists 43 D-Index: 101 scientists 44 D-Index: 103 scientists 45 D-Index: 79 scientists 46 D-Index: 88 scientists 47 D-Index: 70 scientists 48 D-Index: 83 scientists 49 D-Index: 44 scientists 50 D-Index: 64 scientists 51 D-Index: 56 scientists 52 D-Index: 50 scientists 53 D-Index: 48 scientists 54 D-Index: 58 scientists 55 D-Index: 52 scientists 56 D-Index: 48 scientists 57 D-Index: 42 scientists 58 D-Index: 34 scientists 59 D-Index: 42 scientists 60 D-Index: 37 scientists 61 D-Index: 42 scientists 62 D-Index: 44 scientists 63 D-Index: 22 scientists 64 D-Index: 33 scientists 65 D-Index: 29 scientists 66 D-Index: 23 scientists 67 D-Index: 29 scientists 68 D-Index: 24 scientists 69 D-Index: 19 scientists 70 D-Index: 34 scientists 71 D-Index: 26 scientists 72 D-Index: 19 scientists 73 D-Index: 18 scientists 74 D-Index: 19 scientists 75 D-Index: 14 scientists 76 D-Index: 19 scientists 77 D-Index: 8 scientists 78 D-Index: 18 scientists 79 D-Index: 16 scientists 80 D-Index: 12 scientists 81 D-Index: 17 scientists 82 D-Index: 11 scientists 83 D-Index: 16 scientists 84 D-Index: 7 scientists 85 D-Index: 9 scientists 86 D-Index: 8 scientists 87 D-Index: 6 scientists 88 D-Index: 6 scientists 89 D-Index: 7 scientists 90 D-Index: 10 scientists 91 D-Index: 4 scientists 92 D-Index: 4 scientists 93+ D-Index: 100 scientists
30 D-Index 93+

This scientist: 70 D-Index — 89th percentile

89% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 93 D-Index or more.

Overview

Guoqiang Li is affiliated with Louisiana State University in the United States. Their research primarily spans the fields of Engineering and Materials Science, with a focus on subfields such as Electrical and Electronic Engineering, Materials Chemistry, Renewable Energy, Sustainability and the Environment, Molecular Biology, and Atomic and Molecular Physics, and Optics.

The scientist's work covers key topics including:

  • Advanced Photocatalysis Techniques
  • Gas Sensing Nanomaterials and Sensors
  • Advanced biosensing and bioanalysis techniques
  • Advanced Memory and Neural Computing
  • Advancements in Battery Materials
  • Catalytic Processes in Materials Science
  • Transition Metal Oxide Nanomaterials

Guoqiang Li has published extensively across several scientific journals, contributing to prominent publication venues such as:

  • Applied Surface Science
  • Journal of Physics D Applied Physics
  • Journal of Building Engineering
  • Analytica Chimica Acta
  • Catalysis Science & Technology

Recent publications by the scientist include:

  • "Atom vacancies induced electron-rich surface of ultrathin Bi nanosheet for efficient electrochemical CO2 reduction," 2020, Applied Catalysis B: Environmental
  • "Anchoring Ni single atoms on sulfur-vacancy-enriched ZnIn2S4 nanosheets for boosting photocatalytic hydrogen evolution," 2020, Journal of Energy Chemistry
  • "Synthesis of CsPbBr3/CsPb2Br5@silica yolk-shell composite microspheres: precisely controllable structure and improved catalytic activity for dye degradation," 2022, Advanced Composites and Hybrid Materials
  • "Nanocluster PtNiP supported on graphene as an efficient electrocatalyst for methanol oxidation reaction," 2021, Nano Research
  • "Recent advances in biological detection with rolling circle amplification: design strategy, biosensing mechanism, and practical applications," 2022, The Analyst

Frequent collaborators in their research include Yongping Gao, Ke-Jing Huang, Shiwen Kou, Yuxin Shi, and Peng Zheng. These coauthors have contributed to multiple joint publications, indicating ongoing research partnerships.

Best Publications

  • A review of stimuli-responsive shape memory polymer composites

    Harper Meng;Guoqiang Li

  • Animatediff: Animate your personalized text-to-image diffusion models without specific tuning

    Unknown

  • Planning-oriented autonomous driving

    Unknown

  • A review of stimuli-responsive polymers for smart textile applications

    Jinlian Hu;Harper Meng;Guoqiang Li;Samuel I Ibekwe

  • Pointclip: Point cloud understanding by clip

    Unknown

  • Uniformer: Unifying convolution and self-attention for visual recognition

    Unknown

  • Development of waste tire modified concrete

    Guoqiang Li;Michael A. Stubblefield;Gregory Garrick;John Eggers

  • Laboratory Investigation of Mixing Hot-Mix Asphalt with Reclaimed Asphalt Pavement

    Baoshan Huang;Guoqiang Li;Dragan Vukosavljevic;Xiang Shu

  • Internvideo: General video foundation models via generative and discriminative learning

    Unknown

  • Modern Applications of Nanotechnology in Textiles

    A.P.S. Sawhney;B. Condon;K.V. Singh;S.S. Pang

  • Various shape memory effects of stimuli-responsive shape memory polymers

    Harper Meng;Habib Mohamadian;Michael Stubblefield;Dwayne Jerro

  • Search for new resonances in mass distributions of jet pairs using 139 fb−1 of pp collisions at = 13 TeV with the ATLAS detector

    Unknown

  • Uniformer: Unified transformer for efficient spatiotemporal representation learning

    Unknown

  • Laboratory investigation of portland cement concrete containing recycled asphalt pavements

    Baoshan Huang;Xiang Shu;Guoqiang Li

  • Buckling load analysis of grid stiffened composite cylinders

    Samuel Kidane;Guoqiang Li;Jack Helms;Su-Seng Pang

  • Investigation into Waste Tire Rubber-Filled Concrete

    Baoshan Huang;Guoqiang Li;Su-Seng Pang;John Eggers

  • Internvid: A large-scale video-text dataset for multimodal understanding and generation

    Unknown

  • Thermomechanical characterization of a shape memory polymer based self-repairing syntactic foam

    Guoqiang Li;Damon Nettles

  • Effects of adhesive thickness on global and local Mode-I interfacial fracture of bonded joints

    Gefu Ji;Zhenyu Ouyang;Guoqiang Li;Guoqiang Li;Samuel Ibekwe

  • Thermomechanical behavior of thermoset shape memory polymer programmed by cold-compression: Testing and constitutive modeling

    Guoqiang Li;Wei Xu

  • A thermodynamic consistent damage and healing model for self healing materials

    George Z. Voyiadjis;Amir Shojaei;Guoqiang Li

  • Waste tire fiber modified concrete

    Guoqiang Li;Gregory Garrick;John Eggers;Christopher Abadie

  • Four-phase sphere modeling of effective bulk modulus of concrete

    Guoqiang Li;Yi Zhao;Su Seng Pang

  • Experimental Study of Cement-Asphalt Emulsion Composite

    G Li;Y Zhao;S.-S Pang;W Huang

  • A self-healing smart syntactic foam under multiple impacts

    Guoqiang Li;Manu John

  • Signal timing of intersections using integrated optimization of traffic quality, emissions and fuel consumption: a note

    Xiugang Li;Guoqiang Li;Su-Seng Pang;Xiaoguang Yang

  • Shape memory polymer based self-healing syntactic foam: 3-D confined thermomechanical characterization

    Guoqiang Li;Naveen Uppu

  • Inverse machine learning framework for optimizing lightweight metamaterials

    Unknown

Frequent Co-Authors

George Z. Voyiadjis
George Z. Voyiadjis Louisiana State University
Baoshan Huang
Baoshan Huang University of Tennessee at Knoxville
David Hui
David Hui University of New Orleans
Nikhil Gupta
Nikhil Gupta New York University
Xiang Shu
Xiang Shu University of Tennessee at Knoxville
Farid Taheri
Farid Taheri Dalhousie University
Xiaoming Huang
Xiaoming Huang Southeast University
Jinlian Hu
Jinlian Hu City University of Hong Kong
Xiuping Zhu
Xiuping Zhu Louisiana State University
Jacob Fish
Jacob Fish Columbia University

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