Yanbin Liu

138 total papers · 1.6k total citations
60 papers, 682 citations indexed

About

Yanbin Liu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Yanbin Liu has authored 60 papers receiving a total of 682 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 16 papers in Computer Vision and Pattern Recognition and 10 papers in Computer Networks and Communications. Recurrent topics in Yanbin Liu's work include Domain Adaptation and Few-Shot Learning (6 papers), Consumer Market Behavior and Pricing (5 papers) and Software System Performance and Reliability (5 papers). Yanbin Liu is often cited by papers focused on Domain Adaptation and Few-Shot Learning (6 papers), Consumer Market Behavior and Pricing (5 papers) and Software System Performance and Reliability (5 papers). Yanbin Liu collaborates with scholars based in China, Australia and United States. Yanbin Liu's co-authors include Yi Yang, Ling Chen, Linchao Zhu, Makoto Yamada, Chengqi Zhang, Yahong Han, Richang Hong, Qinghua Hu, Shichao Zhao and Qi Tian and has published in prestigious journals such as Journal of Power Sources, Frontiers in Microbiology and ACM Computing Surveys.

In The Last Decade

Yanbin Liu

58 papers receiving 654 citations

Author Peers

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

Author						Papers	Cites
Yanbin Liu	272	241	97	75	65	60	682
Jun Li	251 0.9×	243 1.0×	64 0.7×	44 0.6×	40 0.6×	63	679
Xin Huang	368 1.4×	195 0.8×	179 1.8×	65 0.9×	16 0.2×	63	788
Yang Zhang	92 0.3×	125 0.5×	126 1.3×	76 1.0×	57 0.9×	71	664
Hamed Tabkhi	159 0.6×	156 0.6×	204 2.1×	69 0.9×	139 2.1×	81	653
Tao Wang	360 1.3×	101 0.4×	70 0.7×	53 0.7×	15 0.2×	35	675
Alberto Faro	182 0.7×	127 0.5×	66 0.7×	25 0.3×	32 0.5×	80	554
Jianming Lv	290 1.1×	220 0.9×	103 1.1×	63 0.8×	10 0.2×	48	656
Wenhui Chen	166 0.6×	157 0.7×	64 0.7×	60 0.8×	21 0.3×	78	673
Anastasios Drosou	101 0.4×	174 0.7×	228 2.4×	42 0.6×	15 0.2×	82	630
Guozhen Tan	72 0.3×	197 0.8×	237 2.4×	63 0.8×	36 0.6×	53	639

Countries citing papers authored by Yanbin Liu

Since Specialization

Citations

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

Fields of papers citing papers by Yanbin Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yanbin Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Yanbin Liu. A scholar is included among the top collaborators of Yanbin 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 Yanbin Liu. Yanbin 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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