Yanbei Liu

78 total papers · 975 total citations
53 papers, 632 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 53 papers receiving a total of 632 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 15 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), Retinal Imaging and Analysis (7 papers) and Advanced Graph Neural Networks (7 papers). Yanbei Liu is often cited by papers focused on Industrial Vision Systems and Defect Detection (9 papers), Retinal Imaging and Analysis (7 papers) and Advanced Graph Neural Networks (7 papers). Yanbei Liu collaborates with scholars based in China, Poland and United Kingdom. Yanbei Liu's co-authors include Zhitao Xiao, Lei Geng, Fang Zhang, Jun Wu, Bowen Liu, Changqing Zhang, Kaihua Liu, Xiao Wang, 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 610 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Yanbei Liu	209	199	139	87	59	53	632
Mingyang Li	380 1.8×	154 0.8×	104 0.7×	37 0.4×	33 0.6×	44	630
Jimin Yu	311 1.5×	58 0.3×	39 0.3×	35 0.4×	12 0.2×	62	720
Jing Lian	390 1.9×	162 0.8×	90 0.6×	24 0.3×	18 0.3×	61	705
Mohsin Ali	82 0.4×	206 1.0×	42 0.3×	27 0.3×	10 0.2×	36	723
Lei Zhang	225 1.1×	200 1.0×	143 1.0×	23 0.3×	27 0.5×	34	557
Qiang Cai	171 0.8×	134 0.7×	26 0.2×	22 0.3×	29 0.5×	86	645
Hao Wu	278 1.3×	203 1.0×	79 0.6×	9 0.1×	41 0.7×	58	663
Hayaru Shouno	171 0.8×	150 0.8×	58 0.4×	16 0.2×	16 0.3×	59	572
Alfonso Rojas‐Domínguez	244 1.2×	367 1.8×	132 0.9×	17 0.2×	20 0.3×	44	711
Pengfei Yan	97 0.5×	152 0.8×	53 0.4×	16 0.2×	13 0.2×	63	655

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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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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