Weiyu Cheng

508 total citations
8 papers, 267 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 267 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), Topic Modeling (2 papers) and Advanced Graph Neural Networks (2 papers). Weiyu Cheng is often cited by papers focused on Recommender Systems and Techniques (3 papers), Topic Modeling (2 papers) and Advanced Graph Neural Networks (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 264 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Weiyu Cheng China	6	124	114	64	59	53	8	267
Chunyang Wang China	9	167 1.3×	122 1.1×	33 0.5×	49 0.8×	26 0.5×	21	265
Haobing Liu China	8	207 1.7×	167 1.5×	33 0.5×	63 1.1×	26 0.5×	15	306
Junshan Wang China	10	49 0.4×	197 1.7×	201 3.1×	32 0.5×	127 2.4×	21	493
Anıl Utku Türkiye	10	50 0.4×	74 0.6×	31 0.5×	30 0.5×	13 0.2×	57	252
Jasleen Kaur Sethi India	10	37 0.3×	83 0.7×	103 1.6×	25 0.4×	82 1.5×	11	278
Stefano Bocconi Netherlands	11	70 0.6×	77 0.7×	67 1.0×	108 1.8×	42 0.8×	23	318
Shouxu Jiang China	7	31 0.3×	80 0.7×	127 2.0×	31 0.5×	66 1.2×	27	374
Mauro Scanagatta Switzerland	9	29 0.2×	196 1.7×	59 0.9×	20 0.3×	45 0.8×	11	378
Jindong Han China	5	27 0.2×	146 1.3×	42 0.7×	35 0.6×	28 0.5×	5	275

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

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Shen, Yanyan, et al.. (2022). RESUS: Warm-up Cold Users via Meta-learning Residual User Preferences in CTR Prediction. ACM Transactions on Information Systems. 41(3). 1–26. 5 indexed citations

2.

Cheng, Weiyu, et al.. (2022). AutoSrh: An Embedding Dimensionality Search Framework for Tabular Data Prediction. IEEE Transactions on Knowledge and Data Engineering. 1–14. 10 indexed citations

3.

Cheng, Weiyu, Yanyan Shen, Linpeng Huang, & Yanmin Zhu. (2021). Dual-Embedding based Deep Latent Factor Models for Recommendation. ACM Transactions on Knowledge Discovery from Data. 15(5). 1–24. 16 indexed citations

4.

Cheng, Weiyu, Yanyan Shen, & Linpeng Huang. (2020). Adaptive Factorization Network: Learning Adaptive-Order Feature Interactions. Proceedings of the AAAI Conference on Artificial Intelligence. 34(4). 3609–3616. 88 indexed citations

5.

Cheng, Weiyu, et al.. (2019). LADD: A Length-Adaptive Approach to Detecting Taxi Anomalous Detours. 141–144. 1 indexed citations

6.

Cheng, Weiyu, Yanyan Shen, Yanmin Zhu, & Linpeng Huang. (2018). A Neural Attention Model for Urban Air Quality Inference: Learning the Weights of Monitoring Stations. Proceedings of the AAAI Conference on Artificial Intelligence. 32(1). 102 indexed citations

7.

Cheng, Weiyu, Yanyan Shen, Yanmin Zhu, & Linpeng Huang. (2018). DELF: A Dual-Embedding based Deep Latent Factor Model for Recommendation. 3329–3335. 36 indexed citations

8.

Zhou, Guangzhu, et al.. (2017). Speciation and spatial distribution of Cr in chromite ore processing residue site, Yunnan, China. Acta Geochimica. 36(2). 291–297. 9 indexed citations

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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