World's Best Scientists 2026 revealed!

Hui Liu 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 Hui Liu 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+

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

Hui Liu 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 Hui Liu 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+

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

Overview

Hui Liu is affiliated with the China University of Mining and Technology in China. Their research encompasses a diverse range of topics primarily within Biochemistry, Genetics and Molecular Biology, and Computer Science. The scientist has contributed extensively to the fields of Molecular Biology, Artificial Intelligence, Computational Theory and Mathematics, Cancer Research, and Civil and Structural Engineering.

Their work frequently addresses topics such as Computational Drug Discovery Methods, Bioinformatics and Genomic Networks, Cancer-related molecular mechanisms research, Cell Image Analysis Techniques, Single-cell and spatial transcriptomics, Circular RNAs in diseases, and MicroRNA in disease regulation.

Hui Liu has multiple recent publications, including:

  • DeepDDS: deep graph neural network with attention mechanism to predict synergistic drug combinations (2021, Briefings in Bioinformatics)
  • Implementation of quantum key distribution surpassing the linear rate-transmittance bound (2020, Nature Photonics)
  • Graph2MDA: a multi-modal variational graph embedding model for predicting microbe-drug associations (2021, Bioinformatics)
  • SynLethDB 2.0: a web-based knowledge graph database on synthetic lethality for novel anticancer drug discovery (2022, Database)
  • Pathway-Guided Deep Neural Network toward Interpretable and Predictive Modeling of Drug Sensitivity (2020, Journal of Chemical Information and Modeling)

The scientist often publishes in venues such as arXiv (Cornell University), bioRxiv (Cold Spring Harbor Laboratory), SSRN Electronic Journal, Research Square, and Briefings in Bioinformatics.

Frequent co-authors collaborating with Hui Liu include Lei Deng, Xuejun Liu, Keju Huang, Junan Yang, and Pinghua Zhu. These partnerships reflect consistent collaborative efforts in their research projects.

Best Publications

  • Nanostructured Photodetectors: From Ultraviolet to Terahertz.

    Hongyu Chen;Hui Liu;Zhiming Zhang;Kai Hu

  • Hierarchical MoS2 Nanosheet@TiO2 Nanotube Array Composites with Enhanced Photocatalytic and Photocurrent Performances.

    Lingxia Zheng;Sancan Han;Hui Liu;Pingping Yu

  • ZnO Nanosheets Abundant in Oxygen Vacancies Derived from Metal-Organic Frameworks for ppb-Level Gas Sensing.

    Hongye Yuan;Saif Abdulla Ali Alateeqi Aljneibi;Jiaren Yuan;Yuxiang Wang

  • Bioinspired surfaces with superamphiphobic properties : concepts, synthesis, and applications

    Hui Liu;Yandong Wang;Jianying Huang;Zhong Chen

  • Robust translucent superhydrophobic PDMS/PMMA film by facile one-step spray for self-cleaning and efficient emulsion separation

    Hui Liu;Jianying Huang;Zhong Chen;Guoqiang Chen

  • 2D Perovskite Sr 2 Nb 3 O 10 for High-Performance UV Photodetectors

    Siyuan Li;Yong Zhang;Wei Yang;Hui Liu

  • Anti-deformed Polyacrylonitrile/Polysulfone Composite Membrane with Binary Structures for Effective Air Filtration

    Shichao Zhang;Hui Liu;Xia Yin;Jianyong Yu

  • Synthesis of nitrogen-doping carbon dots with different photoluminescence properties by controlling the surface states

    Yun Huan Yuan;Ze Xi Liu;Rong Sheng Li;Hong Yan Zou

  • An inner filter effect based sensor of tetracycline hydrochloride as developed by loading photoluminescent carbon nanodots in the electrospun nanofibers

    Min Lin;Hong Yan Zou;Tong Yang;Ze Xi Liu

  • Targeted CT/MR dual mode imaging of tumors using multifunctional dendrimer-entrapped gold nanoparticles

    Qian Chen;Kangan Li;Shihui Wen;Hui Liu

  • A Fluffy Dual‐Network Structured Nanofiber/Net Filter Enables High‐Efficiency Air Filtration

    Hui Liu;Shichao Zhang;Lifang Liu;Jianyong Yu

  • Large-scale simultaneous synthesis of highly photoluminescent green amorphous carbon nanodots and yellow crystalline graphene quantum dots at room temperature

    Meng Li Liu;Lin Yang;Rong Sheng Li;Bin Bin Chen

  • A Controlled Design of Ripple-Like Polyamide-6 Nanofiber/Nets Membrane for High-Efficiency Air Filter.

    Shichao Zhang;Hui Liu;Fenglei Zuo;Xia Yin

  • Free-Standing Polyurethane Nanofiber/Nets Air Filters for Effective PM Capture

    Fenglei Zuo;Shichao Zhang;Hui Liu;Hao Fong

  • Controlled release and antibacterial activity of antibiotic-loaded electrospun halloysite/poly(lactic-co-glycolic acid) composite nanofibers

    Ruiling Qi;Rui Guo;Fuyin Zheng;Hui Liu

  • Progress on particulate matter filtration technology: basic concepts, advanced materials, and performances

    Hui Liu;Hui Liu;Chunyan Cao;Jianying Huang;Zhong Chen

  • Microwave structured polyamide-6 nanofiber/net membrane with embedded poly(m-phenylene isophthalamide) staple fibers for effective ultrafine particle filtration

    Shichao Zhang;Hui Liu;Jianyong Yu;Wenjing Luo

  • Chemical decoration of CH3NH3PbI3 perovskites with graphene oxides for photodetector applications

    Minhong He;Yani Chen;Hui Liu;Jialin Wang

  • Hexagonal-like Nb2O5 Nanoplates-Based Photodetectors and Photocatalyst with High Performances

    Hui Liu;Nan Gao;Meiyong Liao;Xiaosheng Fang

  • Recent Progress in Fabrication and Applications of Superhydrophobic Coating on Cellulose-Based Substrates

    Hui Liu;Shou-Wei Gao;Jing-Sheng Cai;Cheng-Lin He

Frequent Co-Authors

Xiangyang Shi
Xiangyang Shi Donghua University
Cheng Zhi Huang
Cheng Zhi Huang Southwest University
Mingwu Shen
Mingwu Shen Donghua University
Jianyong Yu
Jianyong Yu Donghua University
Bin Ding
Bin Ding Donghua University
Xiaosheng Fang
Xiaosheng Fang Fudan University
Yuekun Lai
Yuekun Lai Fuzhou University
Jianying Huang
Jianying Huang Fuzhou University
Xia Yin
Xia Yin Donghua University
Shihui Wen
Shihui Wen University of Technology Sydney

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