Liyang Liu

43 total papers · 1.2k total citations
30 papers, 783 citations indexed

About

Liyang Liu is a scholar working on Molecular Biology, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Liyang Liu has authored 30 papers receiving a total of 783 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 9 papers in Artificial Intelligence and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Liyang Liu's work include Domain Adaptation and Few-Shot Learning (6 papers), Advanced Neural Network Applications (6 papers) and Speech and Audio Processing (4 papers). Liyang Liu is often cited by papers focused on Domain Adaptation and Few-Shot Learning (6 papers), Advanced Neural Network Applications (6 papers) and Speech and Audio Processing (4 papers). Liyang Liu collaborates with scholars based in China, Hong Kong and United States. Liyang Liu's co-authors include Lei Wei, Xiaowo Wang, Xuegong Zhang, Haochen Wang, Wei Zhang, Zhanghui Kuang, Shao Li, Yimin Chen, Ye Wang and Shuailin Li and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Scientific Reports.

In The Last Decade

Liyang Liu

28 papers receiving 773 citations

Author Peers

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

Author						Papers	Cites
Liyang Liu	330	163	140	74	65	30	783
Siow‐Wee Chang	123 0.4×	56 0.3×	173 1.2×	45 0.6×	15 0.2×	28	760
Tianyang Wang	324 1.0×	37 0.2×	53 0.4×	28 0.4×	20 0.3×	58	861
Qiong Zhang	220 0.7×	66 0.4×	64 0.5×	29 0.4×	15 0.2×	51	650
Jiaojie Li	226 0.7×	116 0.7×	52 0.4×	15 0.2×	26 0.4×	30	863
Jia-Ping Wang	122 0.4×	157 1.0×	40 0.3×	12 0.2×	21 0.3×	40	889
Rui Guo	134 0.4×	35 0.2×	39 0.3×	42 0.6×	20 0.3×	83	742
Panli Zhang	204 0.6×	53 0.3×	87 0.6×	23 0.3×	68 1.0×	36	796
Jingjing Xu	416 1.3×	59 0.4×	17 0.1×	36 0.5×	21 0.3×	60	848
Esteban Vegas	353 1.1×	14 0.1×	46 0.3×	15 0.2×	40 0.6×	32	892
Yuan Xue	279 0.8×	16 0.1×	62 0.4×	28 0.4×	26 0.4×	51	785

Countries citing papers authored by Liyang Liu

Since Specialization

Citations

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

Fields of papers citing papers by Liyang Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liyang Liu

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