Qingbiao Li

1.3k total citations
27 papers, 839 citations indexed

About

Qingbiao Li is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Qingbiao Li has authored 27 papers receiving a total of 839 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 8 papers in Artificial Intelligence and 5 papers in Biomedical Engineering. Recurrent topics in Qingbiao Li's work include Reinforcement Learning in Robotics (4 papers), Multimodal Machine Learning Applications (4 papers) and Advanced Graph Neural Networks (4 papers). Qingbiao Li is often cited by papers focused on Reinforcement Learning in Robotics (4 papers), Multimodal Machine Learning Applications (4 papers) and Advanced Graph Neural Networks (4 papers). Qingbiao Li collaborates with scholars based in China, United Kingdom and United States. Qingbiao Li's co-authors include Amanda Prorok, Zhe Liu, Binyu Wang, Alejandro Ribeiro, Fernando Gama, Weizhe Lin, Cancan Liu, Jun Liang, Daoai Wang and Wenbin Yang and has published in prestigious journals such as Bioresource Technology, Food Chemistry and IEEE Transactions on Signal Processing.

In The Last Decade

Qingbiao Li

22 papers receiving 813 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Qingbiao Li China 11 388 218 163 160 158 27 839
Hanzhen Xiao China 13 240 0.6× 62 0.3× 467 2.9× 250 1.6× 88 0.6× 30 933
Jens Lambrecht Germany 15 270 0.7× 63 0.3× 199 1.2× 25 0.2× 117 0.7× 57 581
Yuxiao Zhou China 15 355 0.9× 39 0.2× 183 1.1× 72 0.5× 61 0.4× 50 874
Sahaya Beni Prathiba India 13 78 0.2× 190 0.9× 89 0.5× 179 1.1× 37 0.2× 53 794
Lei Lei China 18 171 0.4× 62 0.3× 44 0.3× 382 2.4× 517 3.3× 83 1.3k
Xuexi Zhang China 10 119 0.3× 38 0.2× 70 0.4× 54 0.3× 109 0.7× 39 526
Ramviyas Parasuraman United States 14 88 0.2× 81 0.4× 73 0.4× 161 1.0× 73 0.5× 62 536
Hongyi Liu China 14 351 0.9× 132 0.6× 560 3.4× 28 0.2× 52 0.3× 48 1.3k
Zixuan Li China 12 152 0.4× 85 0.4× 112 0.7× 27 0.2× 150 0.9× 59 696
Johnny Koh Siaw Paw Malaysia 17 52 0.1× 111 0.5× 118 0.7× 120 0.8× 52 0.3× 128 1.0k

Countries citing papers authored by Qingbiao Li

Since Specialization
Citations

This map shows the geographic impact of Qingbiao Li's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Qingbiao Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qingbiao Li more than expected).

Fields of papers citing papers by Qingbiao Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Qingbiao Li. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Qingbiao Li. The network helps show where Qingbiao Li may publish in the future.

Co-authorship network of co-authors of Qingbiao Li

This figure shows the co-authorship network connecting the top 25 collaborators of Qingbiao Li. A scholar is included among the top collaborators of Qingbiao Li based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Qingbiao Li. Qingbiao Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Lu, Bo, Tiancheng Zhou, Qingbiao Li, et al.. (2025). M $^{3}$- DEGREES Net: Monocular-Guided Metric Marching Depth Estimation With Graph-Based Relevance Ensemble for Endoluminal Surgery. IEEE Journal of Biomedical and Health Informatics. 30(2). 1244–1257.
2.
Xu, Chenhui, Wei Chen, Qingbiao Li, et al.. (2025). Synergistic integration of mechanical robustness and electromagnetic wave absorption in hierarchical composite sponge-based elastomers via multi-scale heterogeneous interface engineering. Journal of Alloys and Compounds. 1040. 183508–183508. 1 indexed citations
3.
Lin, Liqin, Youping Xie, Qingyun Cai, et al.. (2025). Identification of novel ACE inhibitory peptides from Nannochloropsis oculata through peptidomics, in silico screening and molecular docking. Food Chemistry. 490. 145073–145073. 2 indexed citations
4.
Cheng, Hong, et al.. (2025). Application of generative artificial intelligence in catalysis. Chinese Journal of Chemical Engineering. 84. 86–95. 2 indexed citations
5.
Chen, Wei, Luyao Ding, Qingbiao Li, et al.. (2025). 3D-printed programmable hierarchical hole-cavity architectures of fully cellulose nanofibrils for tunable broadband sound absorption. Carbohydrate Polymers. 370. 124480–124480.
6.
Sun, Yuchen, Yang Xu, Qiu Gen Zhang, et al.. (2024). Configuration of multi-stage membrane process towards effective separation of C, N and P from real-life biogas slurry: Design, optimization and analysis. Chemical Engineering Science. 303. 120970–120970.
7.
8.
Zhong, Shuai, Juan Wang, Jinfang Chen, et al.. (2024). Recovery of alkali in Gracilaria agar production by electrodialysis and membrane concentration. Algal Research. 79. 103485–103485. 4 indexed citations
9.
Wu, Yanyan, Tao Hong, Yuanfan Yang, et al.. (2024). Antifungal mechanism and application to phytopathogenic fungi after anaerobic fermentation of Gracilaria agar wastewater. Bioresource Technology. 416. 131818–131818. 2 indexed citations
10.
Huang, Bidan, et al.. (2023). TacGNN: Learning Tactile-Based In-Hand Manipulation With a Blind Robot Using Hierarchical Graph Neural Network. IEEE Robotics and Automation Letters. 8(6). 3605–3612. 14 indexed citations
11.
Ji, Kangyu, Weizhe Lin, Yuqi Sun, et al.. (2023). Self-supervised deep learning for tracking degradation of perovskite light-emitting diodes with multispectral imaging. Nature Machine Intelligence. 5(11). 1225–1235. 20 indexed citations
12.
Li, Qingbiao, et al.. (2022). A Framework for Real-World Multi-Robot Systems Running Decentralized GNN-Based Policies. 2022 International Conference on Robotics and Automation (ICRA). 8772–8778. 31 indexed citations
13.
Li, Qingbiao, Weizhe Lin, Zhe Liu, & Amanda Prorok. (2021). Message-Aware Graph Attention Networks for Large-Scale Multi-Robot Path Planning. IEEE Robotics and Automation Letters. 6(3). 5533–5540. 109 indexed citations
14.
Wang, Ruoxi, Dandan Zhang, Qingbiao Li, Xiao-Yun Zhou, & Benny Lo. (2021). Real-time Surgical Environment Enhancement for Robot-Assisted Minimally Invasive Surgery Based on Super-Resolution. 3. 3434–3440. 9 indexed citations
15.
Li, Qingbiao, Fernando Gama, Alejandro Ribeiro, & Amanda Prorok. (2020). Graph Neural Networks for Decentralized Path Planning. 1901–1903.
16.
Wang, Binyu, Zhe Liu, Qingbiao Li, & Amanda Prorok. (2020). Mobile Robot Path Planning in Dynamic Environments Through Globally Guided Reinforcement Learning. IEEE Robotics and Automation Letters. 5(4). 6932–6939. 232 indexed citations
17.
Li, Qingbiao, Fernando Gama, Alejandro Ribeiro, & Amanda Prorok. (2020). Graph Neural Networks for Decentralized Multi-Robot Path Planning. 11785–11792. 163 indexed citations
18.
Li, Qingbiao, Wenbin Yang, Cancan Liu, Daoai Wang, & Jun Liang. (2017). Correlations between the growth mechanism and properties of micro-arc oxidation coatings on titanium alloy: Effects of electrolytes. Surface and Coatings Technology. 316. 162–170. 142 indexed citations
19.
Li, Heng, Zheng Chen, Dong Xia, et al.. (2016). Estimating the Fates of C and N in Various Anaerobic Codigestions of Manure and Lignocellulosic Biomass Based on Artificial Neural Networks. Energy & Fuels. 30(11). 9490–9501. 19 indexed citations
20.
Zheng, Jinbao, Yusheng Zhao, Xiaodong Yi, et al.. (2012). Deactivation kinetics of sulfur poisoning of nickel catalyst during ethylbenzene hydrogenation. Huagong xuebao. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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