World's Best Scientists 2026 revealed!
Qingbiao Li

Qingbiao Li

D-Index & Metrics

Chemistry

D-Index
67
Citations
17857
World Ranking
6834
National Ranking
1218

Qingbiao Li publication distribution in Chemistry in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Chemistry in 2026. The highlighted bar marks where Qingbiao Li sits on this spectrum.

61–80 publications: 66 scientists 81–100 publications: 302 scientists 101–120 publications: 623 scientists 121–140 publications: 918 scientists 141–160 publications: 1,218 scientists 161–180 publications: 1,350 scientists 181–200 publications: 1,344 scientists 201–220 publications: 1,281 scientists 221–240 publications: 1,216 scientists 241–260 publications: 1,100 scientists 261–280 publications: 979 scientists 281–300 publications: 939 scientists 301–320 publications: 764 scientists 321–340 publications: 643 scientists 341–360 publications: 628 scientists 361–380 publications: 522 scientists 381–400 publications: 459 scientists 401–420 publications: 397 scientists 421–440 publications: 327 scientists 441–460 publications: 270 scientists 461–480 publications: 265 scientists 481–500 publications: 252 scientists 501–520 publications: 201 scientists 521–540 publications: 185 scientists 541–560 publications: 148 scientists 561–580 publications: 148 scientists 581–600 publications: 132 scientists 601–620 publications: 114 scientists 621–640 publications: 104 scientists 641–660 publications: 91 scientists 661–680 publications: 92 scientists 681–700 publications: 73 scientists 701–720 publications: 57 scientists 721–740 publications: 54 scientists 741–760 publications: 67 scientists 761–780 publications: 45 scientists 781–800 publications: 46 scientists 801–820 publications: 39 scientists 821–840 publications: 32 scientists 841–860 publications: 36 scientists 861–880 publications: 29 scientists 881–900 publications: 26 scientists 901–920 publications: 24 scientists 921–940 publications: 14 scientists 941–960 publications: 23 scientists 961–980 publications: 28 scientists 981–1,000 publications: 15 scientists 1,001–1,020 publications: 29 scientists 1,021–1,040 publications: 12 scientists 1,041–1,060 publications: 19 scientists 1,061–1,080 publications: 12 scientists 1,081–1,100 publications: 6 scientists 1,101–1,120 publications: 8 scientists 1,121–1,140 publications: 12 scientists 1,141–1,160 publications: 5 scientists 1,161–1,180 publications: 6 scientists 1,181–1,200 publications: 14 scientists 1,201–1,220 publications: 7 scientists 1,221–1,240 publications: 2 scientists 1,241–1,260 publications: 6 scientists 1,261–1,280 publications: 4 scientists 1,281–1,294 publications: 6 scientists 1,295+ publications: 100 scientists
61 publications 1,295+

This scientist: 323 publications — 68th percentile

68% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,295 publications or more.

Qingbiao Li D-index placement in Chemistry in 2026

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

40–41 D-Index: 289 scientists 42–43 D-Index: 612 scientists 44–45 D-Index: 808 scientists 46–47 D-Index: 776 scientists 48–49 D-Index: 835 scientists 50–51 D-Index: 861 scientists 52–53 D-Index: 872 scientists 54–55 D-Index: 933 scientists 56–57 D-Index: 1,051 scientists 58–59 D-Index: 930 scientists 60–61 D-Index: 882 scientists 62–63 D-Index: 834 scientists 64–65 D-Index: 731 scientists 66–67 D-Index: 775 scientists 68–69 D-Index: 683 scientists 70–71 D-Index: 646 scientists 72–73 D-Index: 561 scientists 74–75 D-Index: 501 scientists 76–77 D-Index: 437 scientists 78–79 D-Index: 388 scientists 80–81 D-Index: 354 scientists 82–83 D-Index: 292 scientists 84–85 D-Index: 275 scientists 86–87 D-Index: 254 scientists 88–89 D-Index: 235 scientists 90–91 D-Index: 185 scientists 92–93 D-Index: 192 scientists 94–95 D-Index: 155 scientists 96–97 D-Index: 163 scientists 98–99 D-Index: 125 scientists 100–101 D-Index: 105 scientists 102–103 D-Index: 105 scientists 104–105 D-Index: 112 scientists 106–107 D-Index: 88 scientists 108–109 D-Index: 68 scientists 110–111 D-Index: 69 scientists 112–113 D-Index: 65 scientists 114–115 D-Index: 79 scientists 116–117 D-Index: 61 scientists 118–119 D-Index: 44 scientists 120–121 D-Index: 37 scientists 122–123 D-Index: 40 scientists 124–125 D-Index: 33 scientists 126–127 D-Index: 26 scientists 128–129 D-Index: 34 scientists 130–131 D-Index: 35 scientists 132–133 D-Index: 25 scientists 134–135 D-Index: 27 scientists 136–137 D-Index: 17 scientists 138–139 D-Index: 16 scientists 140–141 D-Index: 20 scientists 142–143 D-Index: 20 scientists 144–145 D-Index: 15 scientists 146–147 D-Index: 9 scientists 148–149 D-Index: 9 scientists 150–151 D-Index: 16 scientists 152–153 D-Index: 11 scientists 154–155 D-Index: 9 scientists 156–157 D-Index: 3 scientists 158 D-Index: 3 scientists 159+ D-Index: 98 scientists
40 D-Index 159+

This scientist: 67 D-Index — 62nd percentile

62% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 159 D-Index or more.

Overview

Qingbiao Li is affiliated with Xiamen University in China and focuses research efforts primarily within the fields of Computer Science and Engineering. The subfields of study represented in their profile include Artificial Intelligence, Computer Vision and Pattern Recognition, Biomedical Engineering, Electrical and Electronic Engineering, and Computer Networks and Communications.

Their work covers several main topics related to advanced computational methods and applications in robotics and machine learning. Key topics include:

  • Reinforcement Learning in Robotics
  • Multimodal Machine Learning Applications
  • Advanced Graph Neural Networks
  • Robotic Path Planning Algorithms
  • Advanced Memory and Neural Computing
  • Distributed Control Multi-Agent Systems
  • Vehicle Routing Optimization Methods

Qingbiao Li has published extensively, with a notable presence in venues such as arXiv (Cornell University), IEEE Robotics and Automation Letters, Food Chemistry, the 2022 International Conference on Robotics and Automation (ICRA), and Nature Machine Intelligence.

Recent papers include:

  • Message-Aware Graph Attention Networks for Large-Scale Multi-Robot Path Planning, 2021, IEEE Robotics and Automation Letters
  • Self-supervised deep learning for tracking degradation of perovskite light-emitting diodes with multispectral imaging, 2023, Nature Machine Intelligence

Additionally, coauthorship spans collaboration with researchers such as Amanda Prorok, Zhe Liu, Weizhe Lin, Jan Blumenkamp, and Mingjing Zheng, reflecting multiple joint publications across different projects.

Other notable papers from related collaborations and recent years include:

  • Mobile Robot Path Planning in Dynamic Environments Through Globally Guided Reinforcement Learning, 2020, IEEE Robotics and Automation Letters
  • A Framework for Real-World Multi-Robot Systems Running Decentralized GNN-Based Policies, 2022, 2022 International Conference on Robotics and Automation (ICRA)
  • Synthesizing Decentralized Controllers With Graph Neural Networks and Imitation Learning, 2022, IEEE Transactions on Signal Processing

Best Publications

  • Biosynthesis of silver and gold nanoparticles by novel sundried Cinnamomum camphora leaf

    Jiale Huang;Qingbiao Li;Daohua Sun;Yinghua Lu

  • Bio-inspired synthesis of metal nanomaterials and applications

    Jiale Huang;Liqin Lin;Daohua Sun;Huimei Chen

  • Green synthesis of palladium nanoparticles using broth of Cinnamomum camphora leaf

    Xin Yang;Qingbiao Li;Huixuan Wang;Jiale Huang

  • Multidimensional insights into the corrosion inhibition of 3,3-dithiodipropionic acid on Q235 steel in H2SO4 medium: A combined experimental and in silico investigation.

    Lei Guo;Jianhong Tan;Savaş Kaya;Senlin Leng

  • Metal−organic framework composite membranes: Synthesis and separation applications

    Unknown

  • Simultaneous biosorption of cadmium (II) and lead (II) ions by pretreated biomass of Phanerochaete chrysosporium

    Qingbiao Li;Songtao Wu;Gang Liu;Xinkai Liao

  • Rapid Preparation Process of Silver Nanoparticles by Bioreduction and Their Characterizations

    Mouxing Fu;Qingbiao Li;Daohua Sun;Yinghua Lu

  • The biosynthesis of palladium nanoparticles by antioxidants in Gardenia jasminoides Ellis: long lifetime nanocatalysts for p-nitrotoluene hydrogenation.

    Lishan Jia;Qian Zhang;Qingbiao Li;Hao Song

  • Biosorption and bioreduction of diamine silver complex by Corynebacterium

    Haoran Zhang;Qingbiao Li;Yinghua Lu;Daohua Sun

  • Biogenic Silver Nanoparticles by Cacumen Platycladi Extract: Synthesis, Formation Mechanism, and Antibacterial Activity

    Jiale Huang;Guowu Zhan;Bingyun Zheng;Bingyun Zheng;Daohua Sun

  • Green synthesis of Au–Pd bimetallic nanoparticles: Single-step bioreduction method with plant extract

    Guowu Zhan;Jiale Huang;Mingming Du;Ibrahim Abdul-Rauf

  • Production and Characterization of a Novel Bioflocculant from Bacillus licheniformis

    Yuyan Xiong;Yuanpeng Wang;Yi Yu;Qingbiao Li

  • Strong Near-Infrared Absorbing and Biocompatible CuS Nanoparticles for Rapid and Efficient Photothermal Ablation of Gram-Positive and -Negative Bacteria

    Jiale Huang;Jinfei Zhou;Jinfei Zhou;Junyang Zhuang;Hongzhi Gao

  • ZnCl 2 -activated biochar from biogas residue facilitates aqueous As(III) removal

    Dong Xia;Fen Tan;Chuanpan Zhang;Xiuli Jiang

  • Interspecies electron transfer in syntrophic methanogenic consortia: From cultures to bioreactors

    Liang Shen;Qingchuan Zhao;Xuee Wu;Xiangzhen Li

  • Pd Supported on MIL-68(In)-Derived In2O3 Nanotubes as Superior Catalysts to Boost CO2 Hydrogenation to Methanol

    Zhongjie Cai;Jiajun Dai;Wen Li;Kok Bing Tan

  • Transformation of metal-organic frameworks for molecular sieving membranes

    Wanbin Li;Yufan Zhang;Congyang Zhang;Qin Meng

  • Nature factory of silver nanowires: Plant-mediated synthesis using broth of Cassia fistula leaf

    Liqin Lin;Wenta Wang;Jiale Huang;Qingbiao Li

  • Plant-mediated synthesis of platinum nanoparticles and its bioreductive mechanism.

    Bingyun Zheng;Tao Kong;Xiaolian Jing;Tareque Odoom-Wubah

  • Isolation, Detection, and Antigen-Based Profiling of Circulating Tumor Cells Using a Size-Dictated Immunocapture Chip.

    Metages Gashaw Ahmed;Mahlet Fasil Abate;Yanling Song;Zhi Zhu

  • Continuous-Flow Biosynthesis of Silver Nanoparticles by Lixivium of Sundried Cinnamomum camphora Leaf in Tubular Microreactors

    Jiale Huang;Liqin Lin;Qingbiao Li;Daohua Sun

  • Overexpression of Malonyl-CoA: ACP Transacylase in Schizochytrium sp. to Improve Polyunsaturated Fatty Acid Production.

    Zhipeng Li;Tong Meng;Xueping Ling;Jun Li

Frequent Co-Authors

Jiale Huang
Jiale Huang Xiamen University
Daohua Sun
Daohua Sun Xiamen University
Yuanpeng Wang
Yuanpeng Wang Xiamen University
Haitao Wang
Haitao Wang Nankai University
Rafael Luque
Rafael Luque King Saud University
Chuan-Jian Zhong
Chuan-Jian Zhong Binghamton University
Yingxu Chen
Yingxu Chen Zhejiang University
Xiaonian Li
Xiaonian Li Zhejiang University of Technology
Xiangzhen Li
Xiangzhen Li Chinese Academy of Sciences
Shu-Feng Zhou
Shu-Feng Zhou Huaqiao University

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