Yueyang Wang

60 total papers · 708 total citations
32 papers, 439 citations indexed

About

Yueyang Wang is a scholar working on Artificial Intelligence, Signal Processing and Information Systems. According to data from OpenAlex, Yueyang Wang has authored 32 papers receiving a total of 439 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 6 papers in Signal Processing and 5 papers in Information Systems. Recurrent topics in Yueyang Wang's work include Advanced Graph Neural Networks (5 papers), Time Series Analysis and Forecasting (5 papers) and Recommender Systems and Techniques (4 papers). Yueyang Wang is often cited by papers focused on Advanced Graph Neural Networks (5 papers), Time Series Analysis and Forecasting (5 papers) and Recommender Systems and Techniques (4 papers). Yueyang Wang collaborates with scholars based in China, United States and United Kingdom. Yueyang Wang's co-authors include Fei Wu, Ziheng Duan, Weifei Hu, Liang Hu, Zhenyu Liu, Jianrong Tan, Haoyan Xu, Yida Huang, Jie Feng and Zhongbin Xu and has published in prestigious journals such as Journal of Colloid and Interface Science, Expert Systems with Applications and IEEE Access.

In The Last Decade

Yueyang Wang

27 papers receiving 427 citations

Author Peers

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

Author						Papers	Cites
Yueyang Wang	145	121	84	51	47	32	439
Mitat Uysal	147 1.0×	142 1.2×	27 0.3×	60 1.2×	25 0.5×	20	441
Moonis Ali	150 1.0×	38 0.3×	33 0.4×	43 0.8×	54 1.1×	55	377
Volker Lohweg	188 1.3×	51 0.4×	67 0.8×	76 1.5×	100 2.1×	63	395
Francisco Herrera Triguero	200 1.4×	69 0.6×	23 0.3×	25 0.5×	38 0.8×	26	380
Azah Kamilah Muda	156 1.1×	75 0.6×	25 0.3×	91 1.8×	26 0.6×	70	481
Camelia-M. Pintea	190 1.3×	130 1.1×	18 0.2×	61 1.2×	31 0.7×	46	431
Noor Aldeen Alawad	224 1.5×	68 0.6×	38 0.5×	54 1.1×	41 0.9×	18	427
Rafael Blanquero	165 1.1×	66 0.5×	22 0.3×	57 1.1×	63 1.3×	35	486
Marin Golub	201 1.4×	77 0.6×	30 0.4×	44 0.9×	29 0.6×	46	400
Mohamed Ettaouil	213 1.5×	34 0.3×	40 0.5×	114 2.2×	35 0.7×	57	407

Countries citing papers authored by Yueyang Wang

Since Specialization

Citations

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

Fields of papers citing papers by Yueyang Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yueyang Wang

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