Chunyang Wang

482 total citations
21 papers, 265 citations indexed

About

Chunyang Wang is a scholar working on Information Systems, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Chunyang Wang has authored 21 papers receiving a total of 265 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Information Systems, 11 papers in Artificial Intelligence and 5 papers in Management Science and Operations Research. Recurrent topics in Chunyang Wang's work include Recommender Systems and Techniques (14 papers), Advanced Graph Neural Networks (9 papers) and Advanced Bandit Algorithms Research (5 papers). Chunyang Wang is often cited by papers focused on Recommender Systems and Techniques (14 papers), Advanced Graph Neural Networks (9 papers) and Advanced Bandit Algorithms Research (5 papers). Chunyang Wang collaborates with scholars based in China, United States and Australia. Chunyang Wang's co-authors include Yanmin Zhu, Haobing Liu, Jiadi Yu, Zhaobo Wang, Tianzi Zang, Tong Liu, Qiaomei Zhang, Ke Wang, Bo Li and Ning Liu and has published in prestigious journals such as Advanced Functional Materials, IEEE Transactions on Vehicular Technology and IEEE Transactions on Mobile Computing.

In The Last Decade

Chunyang Wang

18 papers receiving 259 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chunyang Wang China 9 167 122 69 49 33 21 265
Haobing Liu China 8 207 1.2× 167 1.4× 63 0.9× 63 1.3× 33 1.0× 15 306
Weiyu Cheng China 6 124 0.7× 114 0.9× 22 0.3× 59 1.2× 64 1.9× 8 267
Linfeng Du China 4 43 0.3× 106 0.9× 129 1.9× 23 0.5× 15 0.5× 5 305
Bénédicte Bucher France 6 62 0.4× 69 0.6× 44 0.6× 24 0.5× 5 0.2× 18 250
Bin Luo China 9 99 0.6× 149 1.2× 20 0.3× 6 0.1× 29 0.9× 21 324
Jinliang Deng China 9 36 0.2× 117 1.0× 114 1.7× 30 0.6× 14 0.4× 18 371
Zijian Zhang China 10 116 0.7× 94 0.8× 20 0.3× 39 0.8× 7 0.2× 28 192
Xiusi Chen United States 8 27 0.2× 101 0.8× 45 0.7× 19 0.4× 8 0.2× 22 264
Daizong Ding China 8 100 0.6× 141 1.2× 27 0.4× 23 0.5× 26 0.8× 19 335
Chen Song China 10 41 0.2× 109 0.9× 16 0.2× 26 0.5× 12 0.4× 24 271

Countries citing papers authored by Chunyang Wang

Since Specialization
Citations

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

Fields of papers citing papers by Chunyang Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chunyang Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Chunyang Wang. A scholar is included among the top collaborators of Chunyang 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 Chunyang Wang. Chunyang Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Zhu, Yanmin, et al.. (2025). Dual-Adaptive Update Strategies-Enhanced Meta-Optimization for User Cold-Start Recommendation. ACM Transactions on Information Systems. 43(6). 1–36.
2.
Zhang, Xinyi, Chunyang Wang, Yanmin Zhu, Jian Cao, & Tong Liu. (2025). Multi-Agent Deep Reinforcement Learning With Trajectory Prediction for Task Migration-Assisted Computation Offloading. IEEE Transactions on Mobile Computing. 24(7). 5839–5856.
3.
Lu, Xiaohui, Yue Yan, Xiaosong Zhang, et al.. (2025). Reinforcement Learning Assisted Triboelectric Self‐Regulating Intelligent Transportation System. Advanced Functional Materials. 35(49). 1 indexed citations
4.
Wang, Ke, Yanmin Zhu, Tianzi Zang, Chunyang Wang, & Mengyuan Jing. (2024). Review-Enhanced Hierarchical Contrastive Learning for Recommendation. Proceedings of the AAAI Conference on Artificial Intelligence. 38(8). 9107–9115. 5 indexed citations
5.
Zhang, Xinyi, Yanmin Zhu, Chunyang Wang, et al.. (2024). Multi-agent reinforcement learning for vehicular task offloading with multi-step trajectory prediction. 6(2). 101–114.
6.
Wang, Chunyang, et al.. (2024). Path Tracking Coordination Control With TD3 Reinforcement Learning Based on Danger Level Recognition Considering Generalized Functional Safety. IEEE Transactions on Vehicular Technology. 73(12). 18498–18511. 2 indexed citations
7.
Wang, Ke, et al.. (2023). Multi-aspect Graph Contrastive Learning for Review-enhanced Recommendation. ACM Transactions on Information Systems. 42(2). 1–29. 8 indexed citations
8.
Wang, Chunyang, Yanmin Zhu, Haobing Liu, et al.. (2023). Multifaceted Relation-aware Meta-learning with Dual Customization for User Cold-start Recommendation. ACM Transactions on Knowledge Discovery from Data. 17(9). 1–27. 5 indexed citations
9.
Wang, Chunyang, et al.. (2023). A Preference Learning Decoupling Framework for User Cold-Start Recommendation. 1168–1177. 6 indexed citations
10.
11.
Zang, Tianzi, et al.. (2023). Contrastive Multi-view Interest Learning for Cross-domain Sequential Recommendation. ACM Transactions on Information Systems. 42(3). 1–30. 11 indexed citations
12.
Zhu, Yanmin, et al.. (2023). Adaptive Graph Representation Learning for Next POI Recommendation. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 393–402. 30 indexed citations
13.
Wang, Ke, Yanmin Zhu, Haobing Liu, Tianzi Zang, & Chunyang Wang. (2022). Learning Aspect-Aware High-Order Representations from Ratings and Reviews for Recommendation. ACM Transactions on Knowledge Discovery from Data. 17(1). 1–22. 10 indexed citations
14.
Liu, Haobing, et al.. (2022). Incorporating Heterogeneous User Behaviors and Social Influences for Predictive Analysis. IEEE Transactions on Big Data. 9(2). 716–732. 3 indexed citations
15.
Wang, Zhaobo, Yanmin Zhu, Haobing Liu, & Chunyang Wang. (2022). Learning Graph-based Disentangled Representations for Next POI Recommendation. Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval. 1154–1163. 56 indexed citations
16.
Jing, Mengyuan, Yanmin Zhu, Yanan Xu, et al.. (2022). Learning Shared Representations for Recommendation with Dynamic Heterogeneous Graph Convolutional Networks. ACM Transactions on Knowledge Discovery from Data. 17(4). 1–23. 6 indexed citations
17.
Wang, Chunyang, et al.. (2021). Enhancing User Interest Modeling with Knowledge-Enriched Itemsets for Sequential Recommendation. 1889–1898. 10 indexed citations
18.
Wang, Chunyang, Yanmin Zhu, Tianzi Zang, Haobing Liu, & Jiadi Yu. (2021). Modeling Inter-station Relationships with Attentive Temporal Graph Convolutional Network for Air Quality Prediction. 616–634. 52 indexed citations
19.
Wang, Chunyang, et al.. (2021). Analysis and Research on VR elements in animation. 62. 241–257. 1 indexed citations
20.
Wang, Chunyang, Peng Cheng, Zhuo Chen, Ning Liu, & Lin Gui. (2015). Practical Spatiotemporal Compressive Network Coding for Energy-Efficient Distributed Data Storage in Wireless Sensor Networks. 92. 1–6. 10 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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