Peiyu Liu

210 total papers · 2.9k total citations
114 papers, 969 citations indexed

About

Peiyu Liu is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Peiyu Liu has authored 114 papers receiving a total of 969 indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Artificial Intelligence, 24 papers in Information Systems and 13 papers in Computer Networks and Communications. Recurrent topics in Peiyu Liu's work include Topic Modeling (29 papers), Sentiment Analysis and Opinion Mining (24 papers) and Text and Document Classification Technologies (22 papers). Peiyu Liu is often cited by papers focused on Topic Modeling (29 papers), Sentiment Analysis and Opinion Mining (24 papers) and Text and Document Classification Technologies (22 papers). Peiyu Liu collaborates with scholars based in China, Japan and Taiwan. Peiyu Liu's co-authors include Zhenfang Zhu, Guangyuan Zhang, Qiuyue Zhang, Yongqing Wei, Lin Li, Manchao He, Na Zhang, Wen-Ling Wang, Jiangtao Qi and Ru Wang and has published in prestigious journals such as Advanced Materials, PLoS ONE and Water Research.

In The Last Decade

Peiyu Liu

97 papers receiving 918 citations

Author Peers

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

Author						Papers	Cites
Peiyu Liu	562	195	91	63	61	114	969
Liyong Zhang	431 0.8×	104 0.5×	145 1.6×	126 2.0×	45 0.7×	125	1.0k
Hang Yu	622 1.1×	116 0.6×	238 2.6×	51 0.8×	38 0.6×	120	1.0k
Mohammad Ebrahim Shiri	604 1.1×	115 0.6×	156 1.7×	75 1.2×	21 0.3×	69	1.1k
Bohan Li	497 0.9×	169 0.9×	141 1.5×	151 2.4×	53 0.9×	98	1.1k
Tian Gan	330 0.6×	127 0.7×	248 2.7×	55 0.9×	17 0.3×	90	955
Yunliang Chen	525 0.9×	237 1.2×	163 1.8×	67 1.1×	16 0.3×	61	1.2k
Shuo Chang	329 0.6×	76 0.4×	166 1.8×	103 1.6×	28 0.5×	59	947
Wenbo Guo	439 0.8×	151 0.8×	86 0.9×	47 0.7×	105 1.7×	97	950
Qi Zhang	217 0.4×	104 0.5×	143 1.6×	62 1.0×	17 0.3×	122	985
Daqing Chen	287 0.5×	98 0.5×	227 2.5×	108 1.7×	40 0.7×	86	1.2k

Countries citing papers authored by Peiyu Liu

Since Specialization

Citations

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

Fields of papers citing papers by Peiyu Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peiyu Liu

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