Weiyu Cheng

18 total papers · 504 total citations
8 papers, 262 citations indexed

About

Weiyu Cheng is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Weiyu Cheng has authored 8 papers receiving a total of 262 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 3 papers in Information Systems and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Weiyu Cheng's work include Recommender Systems and Techniques (3 papers), Advanced Graph Neural Networks (2 papers) and Machine Learning and Data Classification (2 papers). Weiyu Cheng is often cited by papers focused on Recommender Systems and Techniques (3 papers), Advanced Graph Neural Networks (2 papers) and Machine Learning and Data Classification (2 papers). Weiyu Cheng collaborates with scholars based in China. Weiyu Cheng's co-authors include Yanyan Shen, Linpeng Huang, Yanmin Zhu, Guangzhu Zhou and Kangyi Lin and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, ACM Transactions on Information Systems and ACM Transactions on Knowledge Discovery from Data.

In The Last Decade

Weiyu Cheng

8 papers receiving 259 citations

Author Peers

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

Author						Papers	Cites
Weiyu Cheng	123	114	64	58	53	8	262
Haobing Liu	203 1.7×	162 1.4×	32 0.5×	61 1.1×	26 0.5×	15	299
Chunyang Wang	162 1.3×	118 1.0×	32 0.5×	47 0.8×	26 0.5×	21	259
Jasleen Kaur Sethi	37 0.3×	83 0.7×	102 1.6×	25 0.4×	83 1.6×	11	278
Jing Zhao	40 0.3×	54 0.5×	19 0.3×	62 1.1×	27 0.5×	13	284
Shengjing Sun	83 0.7×	36 0.3×	47 0.7×	21 0.4×	37 0.7×	8	323
Jindong Han	27 0.2×	144 1.3×	41 0.6×	34 0.6×	27 0.5×	5	269
Abdulaziz Attaallah	103 0.8×	59 0.5×	35 0.5×	30 0.5×	20 0.4×	17	287
Alfonso García-de-Prado	99 0.8×	56 0.5×	36 0.6×	69 1.2×	16 0.3×	21	289
Tien Huu	44 0.4×	86 0.8×	83 1.3×	29 0.5×	62 1.2×	17	246
Piotr Szymański	38 0.3×	113 1.0×	27 0.4×	17 0.3×	17 0.3×	18	228

Countries citing papers authored by Weiyu Cheng

Since Specialization

Citations

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

Fields of papers citing papers by Weiyu Cheng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weiyu Cheng

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