Qinyong Wang

2.6k total citations · 3 hit papers
26 papers, 1.6k citations indexed

About

Qinyong Wang is a scholar working on Information Systems, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Qinyong Wang has authored 26 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Information Systems, 12 papers in Artificial Intelligence and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Qinyong Wang's work include Recommender Systems and Techniques (17 papers), Advanced Graph Neural Networks (5 papers) and Advanced Bandit Algorithms Research (5 papers). Qinyong Wang is often cited by papers focused on Recommender Systems and Techniques (17 papers), Advanced Graph Neural Networks (5 papers) and Advanced Bandit Algorithms Research (5 papers). Qinyong Wang collaborates with scholars based in China, Australia and Philippines. Qinyong Wang's co-authors include Hongzhi Yin, Junliang Yu, Xiangliang Zhang, Quoc Viet Hung Nguyen, Lizhen Cui, Xin Xia, Zi Huang, Jundong Li, Tong Chen and Hao Wang and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, Frontiers in Physiology and ACM Transactions on Information Systems.

In The Last Decade

Qinyong Wang

24 papers receiving 1.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation

2021 339 citations Xin Xia, Hongzhi Yin et al. Proceedings of the AAAI Conference on Artificial Intelligence profile →
Self-Supervised Multi-Channel Hypergraph Convolutional Network for Social Recommendation

2021 294 citations Junliang Yu, Hongzhi Yin et al. Griffith Research Online (Griffith University, Queensland, Australia) profile →
LLMRec: Large Language Models with Graph Augmentation for Recommendation

2024 87 citations Wei Wei, Xubin Ren et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Qinyong Wang China	15	1.2k	1.1k	330	215	184	26	1.6k
Changhua Pei China	10	1.2k 1.0×	988 0.9×	380 1.2×	339 1.6×	223 1.2×	30	1.6k
Leyu Lin China	23	877 0.7×	1.0k 0.9×	268 0.8×	269 1.3×	107 0.6×	60	1.4k
Wang-Cheng Kang United States	9	1.4k 1.2×	1.1k 1.0×	730 2.2×	383 1.8×	132 0.7×	13	1.9k
Fajie Yuan China	16	925 0.8×	815 0.7×	318 1.0×	224 1.0×	62 0.3×	45	1.2k
Roberto Turrin Italy	14	1.2k 1.0×	604 0.5×	385 1.2×	377 1.8×	223 1.2×	29	1.4k
Shangsong Liang China	26	838 0.7×	1.1k 1.0×	292 0.9×	131 0.6×	106 0.6×	98	1.6k
Pipei Huang China	7	654 0.5×	549 0.5×	299 0.9×	120 0.6×	125 0.7×	10	952
Ying Fan China	9	1.6k 1.3×	1.1k 1.0×	747 2.3×	374 1.7×	303 1.6×	24	2.1k
Eric Zhao United States	4	665 0.5×	890 0.8×	232 0.7×	54 0.3×	171 0.9×	7	1.1k

Countries citing papers authored by Qinyong Wang

Since Specialization

Citations

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

Fields of papers citing papers by Qinyong Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qinyong Wang

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

20 of 20 papers shown

Xiang, Jiawei, et al.. (2025). A multi-modal deep learning approach for stress detection using physiological signals: integrating time and frequency domain features. Frontiers in Physiology. 16. 1584299–1584299. 8 indexed citations

Zhang, Huizhong, Fanrong Meng, & Qinyong Wang. (2025). Computer Network Security System Optimization Based on Improved Neural Network Algorithm and Data Search. Journal of Cyber Security and Mobility. 75–100.

Wang, Qinyong, et al.. (2024). Enhancing Personalized Recommendations: A Study on the Efficacy of Multi-Task Learning and Feature Integration. Information. 15(6). 312–312. 1 indexed citations

Wei, Wei, Xubin Ren, Jiabin Tang, et al.. (2024). LLMRec: Large Language Models with Graph Augmentation for Recommendation. 806–815. 87 indexed citations breakdown →

Wang, Qinyong, et al.. (2024). Path Planning of Unmanned Aerial Vehicles Based on an Improved Bio-Inspired Tuna Swarm Optimization Algorithm. Biomimetics. 9(7). 388–388. 11 indexed citations

Wang, Qinyong. (2023). A Reinforcement Learning Based on Book Recommendation System. Academic Journal of Computing & Information Science. 6(13). 3 indexed citations

Wang, Qinyong. (2023). Personalized Movie Recommendation System Based on DDPG: Application and Analysis of Reinforcement Learning in User Preferences. The Frontiers of Society Science and Technology. 5(18).

Xia, Xin, et al.. (2023). Efficient On-Device Session-Based Recommendation. ACM Transactions on Information Systems. 21 indexed citations

Wang, Qinyong & Rong Xu. (2022). AANet: Attentive All-level Fusion Deep Neural Network Approach for Multi-modality Early Alzheimer's Disease Diagnosis.. PubMed. 2022. 1125–1134. 2 indexed citations

10.

Wang, Qinyong, Hongzhi Yin, Tong Chen, et al.. (2021). Fast-adapting and privacy-preserving federated recommender system. The VLDB Journal. 31(5). 877–896. 78 indexed citations

11.

Xia, Xin, Hongzhi Yin, Junliang Yu, et al.. (2021). Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation. Proceedings of the AAAI Conference on Artificial Intelligence. 35(5). 4503–4511. 339 indexed citations breakdown →

12.

Wang, Qinyong, Hongzhi Yin, Tong Chen, et al.. (2020). Next Point-of-Interest Recommendation on Resource-Constrained Mobile Devices. Griffith Research Online (Griffith University, Queensland, Australia). 906–916. 76 indexed citations

13.

Xia, Xin, Hongzhi Yin, Junliang Yu, et al.. (2020). xiaxin1998/DHCN: Codes for paper 'Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation'. King Abdullah University of Science and Technology Repository (King Abdullah University of Science and Technology). 1 indexed citations

14.

Yin, Hongzhi, Qinyong Wang, Kai Zheng, et al.. (2019). Social Influence-Based Group Representation Learning for Group Recommendation. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 566–577. 139 indexed citations

15.

Guo, Lei, Hongzhi Yin, Qinyong Wang, et al.. (2019). Streaming Session-based Recommendation. Griffith Research Online (Griffith University, Queensland, Australia). 1569–1577. 122 indexed citations

16.

Wang, Qinyong, Hongzhi Yin, Hao Wang, et al.. (2019). Enhancing Collaborative Filtering with Generative Augmentation. Griffith Research Online (Griffith University, Queensland, Australia). 548–556. 62 indexed citations

17.

Zhang, Shijie, Hongzhi Yin, Qinyong Wang, et al.. (2019). Inferring Substitutable Products with Deep Network Embedding. Griffith Research Online (Griffith University, Queensland, Australia). 4306–4312. 19 indexed citations

18.

Wang, Weiqing, Hongzhi Yin, Zi Huang, et al.. (2018). Streaming Ranking Based Recommender Systems. Griffith Research Online (Griffith University, Queensland, Australia). 525–534. 57 indexed citations

19.

Wang, Hao, et al.. (2016). Timing-IdeaGraph: A directed cognition graph approach for decision making based on temporal event sequences. 17. 322–326. 4 indexed citations

20.

Wang, Qinyong, et al.. (2014). A Parallel Implementation of Idea Graph to Extract Rare Chances from Big Data. 503–510. 3 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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