Yanbei Liu

1000 total citations
54 papers, 648 citations indexed

About

Yanbei Liu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Yanbei Liu has authored 54 papers receiving a total of 648 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 16 papers in Artificial Intelligence and 13 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Yanbei Liu's work include Industrial Vision Systems and Defect Detection (9 papers), Advanced Graph Neural Networks (8 papers) and Retinal Imaging and Analysis (7 papers). Yanbei Liu is often cited by papers focused on Industrial Vision Systems and Defect Detection (9 papers), Advanced Graph Neural Networks (8 papers) and Retinal Imaging and Analysis (7 papers). Yanbei Liu collaborates with scholars based in China, Poland and Norway. Yanbei Liu's co-authors include Zhitao Xiao, Lei Geng, Fang Zhang, Jun Wu, Changqing Zhang, Bowen Liu, Xiao Wang, Kaihua Liu, Shu Wu and Dinggang Shen and has published in prestigious journals such as IEEE Access, IEEE Transactions on Medical Imaging and Sensors.

In The Last Decade

Yanbei Liu

47 papers receiving 626 citations

Peers

Countries citing papers authored by Yanbei Liu

Since Specialization

Citations

This map shows the geographic impact of Yanbei Liu'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 Yanbei Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yanbei Liu more than expected).

Fields of papers citing papers by Yanbei Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yanbei Liu. 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 Yanbei Liu. The network helps show where Yanbei Liu may publish in the future.

Co-authorship network of co-authors of Yanbei Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Yanbei Liu. A scholar is included among the top collaborators of Yanbei Liu 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 Yanbei Liu. Yanbei Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	MSTNet: Multi-scale spatial-aware transformer with multi-instance learning for diabetic retinopathy classification 2025 ·Medical Image Analysis ·Xin Wei, Yanbei Liu, Fang Zhang, Lei Geng, Chunyan Shan, Xiangyu Cao, Zhitao Xiao	5
2	Trustworthy deep learning for encrypted traffic classification 2025 ·Soft Computing ·Zheng Li, Yanbei Liu, Changqing Zhang, (unknown), Haifeng Zhang, Xiaoming Zhu	0
3	Multi-information Fusion Graph Convolutional Network for cancer driver gene identification 2025 ·Pattern Recognition ·Dongyu Hu, Yanbei Liu, Xiao Wang, Lei Geng, Fang Zhang, Zhitao Xiao, Jerry Chun‐Wei Lin	0
4	A Multimodal Approach for Prediction of Plastic Color Formulation with Transformers and Convolutional Networks 2024 ·Lei Geng, (unknown), Wen Wang, Zhitao Xiao, (unknown), Yanbei Liu	0
5	Deep learning model combined with computed tomography features to preoperatively predicting the risk stratification of gastrointestinal stromal tumors 2024 ·World Journal of Gastrointestinal Oncology ·(unknown), Yanbei Liu, Xubin Li, Xiaonan Cui, Dawei Meng, (unknown), Zhaoxiang Ye	1
6	Label-Aware Dual Graph Neural Networks for Multi-Label Fundus Image Classification 2024 ·IEEE Journal of Biomedical and Health Informatics ·Yanbei Liu, Xinwen Peng, Xin Wei, Lei Geng, Fang Zhang, Zhitao Xiao, Jerry Chun‐Wei Lin	3
7	Mifanet: multi-scale information fusion attention network for determining hatching eggs activity via detecting PPG signals 2023 ·Neural Computing and Applications ·Quan Guo, Lei Geng, Zhitao Xiao, (unknown), Yanbei Liu	1
8	Cross-scale contrastive triplet networks for graph representation learning 2023 ·Pattern Recognition ·Yanbei Liu, (unknown), Xiao Wang, Zhitao Xiao, Lei Geng, Fang Zhang, (unknown), Yanwei Pang	10
9	Multi-Scale Subgraph Contrastive Learning 2023 ·Yanbei Liu, (unknown), Xiao Wang, Lei Geng, Zhitao Xiao	9
10	RNN-combined graph convolutional network with multi-feature fusion for tuberculosis cavity segmentation 2023 ·Signal Image and Video Processing ·Zhitao Xiao, Xiaomeng Zhang, Yanbei Liu, Lei Geng, Jun Wu, Wen Wang, Fang Zhang	1
11	Diagnosis of COVID-19 by using structural attention graph neural network 2022 ·Journal of Image and Graphics ·Yanbei Liu, Henan Li, Changqing Zhang, Zhitao Xiao, Fang Zhang, Ying Wei, Yaozong Gao, Shi Feng, Fei Shan, Dinggang Shen	0
12	Incomplete multi-modal representation learning for Alzheimer’s disease diagnosis 2021 ·Medical Image Analysis ·Yanbei Liu, (unknown), Changqing Zhang, Tao Zhou, Zhitao Xiao, Lei Geng, Dinggang Shen	59
13	Wool knitted fabric pilling objective evaluation based on double-branch convolutional neural network 2020 ·Journal of the Textile Institute ·Jun Wu, (unknown), Zhitao Xiao, Lei Geng, Fang Zhang, Yanbei Liu	10
14	Jujube Classification Based on a Convolution Neural Network with Multi-channel Weighting and Information Aggregation 2019 ·Food Science and Technology Research ·Lei Geng, Mingshuai Ma, (unknown), Yanbei Liu	4
15	Internal defect detection method for thin test pieces of woven laminated composites based on ultrasonic phased array 2019 ·(unknown), (unknown), Lei Geng, Jun Wu, (unknown), Wen Wang, Yanbei Liu	1
16	Automated quality classification of colour fundus images based on a modified residual dense block network 2019 ·Signal Image and Video Processing ·Fang Zhang, Xu Xu, Zhitao Xiao, Jun Wu, Lei Geng, (unknown), Yanbei Liu	11
17	Saliency detection via background prior and foreground seeds 2019 ·Multimedia Tools and Applications ·(unknown), Xu Xu, Fang Zhang, Zhitao Xiao, Yanbei Liu, Lei Geng, Jun Wu, Jia Wen, Meng Wang	3
18	Dried Jujube Classification Based on a Double Branch Deep Fusion Convolution Neural Network 2018 ·Food Science and Technology Research ·Lei Geng, (unknown), Fang Zhang, (unknown), Yanbei Liu	11
19	Learning community structures: Global and local perspectives 2017 ·Neurocomputing ·(unknown), Tao Xu, Xia Feng, (unknown), (unknown), Qiannan Li, Yanbei Liu, Xiao Wang	16
20	Unsupervised feature selection via Diversity-induced Self-representation 2016 ·Neurocomputing ·Yanbei Liu, Kaihua Liu, Changqing Zhang, Jing Wang, Xiao Wang	35

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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