Guangquan Lu

71 total papers · 657 total citations
38 papers, 392 citations indexed

About

Guangquan Lu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics. According to data from OpenAlex, Guangquan Lu has authored 38 papers receiving a total of 392 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 11 papers in Computer Vision and Pattern Recognition and 6 papers in Statistical and Nonlinear Physics. Recurrent topics in Guangquan Lu's work include Advanced Graph Neural Networks (10 papers), Topic Modeling (6 papers) and Complex Network Analysis Techniques (6 papers). Guangquan Lu is often cited by papers focused on Advanced Graph Neural Networks (10 papers), Topic Modeling (6 papers) and Complex Network Analysis Techniques (6 papers). Guangquan Lu collaborates with scholars based in China, Australia and New Zealand. Guangquan Lu's co-authors include Jiangzhang Gan, Jian Wei, Shichao Zhang, Xiaofeng Zhu, Jian Yin, Bo Li, Weiwei Yang, Yunpeng Wang, Zhengtian Wu and Jingci Li and has published in prestigious journals such as Expert Systems with Applications, Information Sciences and Neurocomputing.

In The Last Decade

Guangquan Lu

34 papers receiving 382 citations

Author Peers

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

Author						Papers	Cites
Guangquan Lu	231	108	52	42	40	38	392
Lixia Xue	179 0.8×	153 1.4×	30 0.6×	30 0.7×	26 0.7×	57	401
Tianqi Zhang	149 0.6×	76 0.7×	51 1.0×	35 0.8×	18 0.5×	25	362
Weizhong Zhang	176 0.8×	133 1.2×	33 0.6×	33 0.8×	14 0.3×	28	431
Junhua Gu	230 1.0×	106 1.0×	63 1.2×	44 1.0×	60 1.5×	50	406
Yuan Tian	232 1.0×	35 0.3×	31 0.6×	70 1.7×	45 1.1×	19	410
Yang Gao	202 0.9×	58 0.5×	38 0.7×	38 0.9×	77 1.9×	45	409
Haoran Tang	270 1.2×	63 0.6×	36 0.7×	59 1.4×	11 0.3×	21	377
Jiong Zhu	202 0.9×	72 0.7×	47 0.9×	23 0.5×	77 1.9×	29	419
Heng Chang	230 1.0×	81 0.8×	27 0.5×	37 0.9×	41 1.0×	39	400
Haicheng Tao	175 0.8×	111 1.0×	96 1.8×	22 0.5×	105 2.6×	27	420

Countries citing papers authored by Guangquan Lu

Since Specialization

Citations

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

Fields of papers citing papers by Guangquan Lu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guangquan Lu

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