Fuzhen Zhuang

7.6k total citations · 6 hit papers
118 papers, 4.6k citations indexed

About

Fuzhen Zhuang is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Fuzhen Zhuang has authored 118 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 91 papers in Artificial Intelligence, 59 papers in Information Systems and 28 papers in Computer Vision and Pattern Recognition. Recurrent topics in Fuzhen Zhuang's work include Recommender Systems and Techniques (50 papers), Topic Modeling (47 papers) and Advanced Graph Neural Networks (42 papers). Fuzhen Zhuang is often cited by papers focused on Recommender Systems and Techniques (50 papers), Topic Modeling (47 papers) and Advanced Graph Neural Networks (42 papers). Fuzhen Zhuang collaborates with scholars based in China, United States and Hong Kong. Fuzhen Zhuang's co-authors include Hui Xiong, Qing He, Yongchun Zhu, Yanchi Liu, Jindong Wang, Jingwu Chen, Victor S. Sheng, Pengpeng Zhao, Hengshu Zhu and Jiajie Xu and has published in prestigious journals such as Bioinformatics, IEEE Transactions on Pattern Analysis and Machine Intelligence and Scientific Reports.

In The Last Decade

Fuzhen Zhuang

109 papers receiving 4.4k citations

Hit Papers

Deep Subdomain Adaptation Network for Image Classification 2018 2026 2020 2023 2020 2020 2019 2018 2020 250 500 750
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.

  1. Deep Subdomain Adaptation Network for Image Classification
    2020 843 citations Yongchun Zhu, Fuzhen Zhuang et al. IEEE Transactions on Neural Networks and Learning Systems profile →
  2. A Survey on Knowledge Graph-Based Recommender Systems
    2020 507 citations Fuzhen Zhuang, Chuan Qin et al. IEEE Transactions on Knowledge and Data Engineering profile →
  3. Graph Contextualized Self-Attention Network for Session-based Recommendation
    2019 356 citations Pengpeng Zhao, Victor S. Sheng et al. Rare & Special e-Zone (The Hong Kong University of Science and Technology) profile →
  4. Sequential Recommender System based on Hierarchical Attention Networks
    2018 236 citations Fuzhen Zhuang, Hui Xiong et al. profile →
  5. Where to Go Next: A Spatio-Temporal Gated Network for Next POI Recommendation
    2020 210 citations Pengpeng Zhao, Fuzhen Zhuang et al. IEEE Transactions on Knowledge and Data Engineering profile →
  6. Personalized Transfer of User Preferences for Cross-domain Recommendation
    2022 132 citations Yongchun Zhu, Fuzhen Zhuang et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fuzhen Zhuang China 31 2.9k 2.1k 843 471 411 118 4.6k
Hao Peng China 34 2.9k 1.0× 1.0k 0.5× 544 0.6× 195 0.4× 517 1.3× 177 5.1k
Jing Gao United States 37 4.0k 1.4× 1.2k 0.6× 1.1k 1.3× 373 0.8× 393 1.0× 164 6.4k
Zhoujun Li China 40 3.5k 1.2× 1.3k 0.6× 1.1k 1.3× 205 0.4× 168 0.4× 338 5.2k
Scott Sanner Canada 28 2.2k 0.8× 1.3k 0.6× 856 1.0× 315 0.7× 143 0.3× 149 3.7k
Haruna Chiroma Nigeria 33 1.2k 0.4× 841 0.4× 411 0.5× 249 0.5× 293 0.7× 132 3.6k
Li Guo China 34 3.2k 1.1× 1.1k 0.5× 653 0.8× 450 1.0× 118 0.3× 333 6.2k
Senzhang Wang China 35 1.8k 0.6× 702 0.3× 493 0.6× 348 0.7× 980 2.4× 157 4.1k
Lars Schmidt-Thieme Germany 32 3.6k 1.2× 4.2k 2.0× 1.3k 1.6× 998 2.1× 547 1.3× 156 6.5k
Jianhua Ma Japan 32 1.5k 0.5× 961 0.5× 729 0.9× 164 0.3× 215 0.5× 252 4.5k
Gui-Rong Xue China 28 2.9k 1.0× 1.6k 0.8× 1.3k 1.6× 165 0.4× 93 0.2× 56 4.6k

Countries citing papers authored by Fuzhen Zhuang

Since Specialization
Citations

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

Fields of papers citing papers by Fuzhen Zhuang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fuzhen Zhuang

This figure shows the co-authorship network connecting the top 25 collaborators of Fuzhen Zhuang. A scholar is included among the top collaborators of Fuzhen Zhuang 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 Fuzhen Zhuang. Fuzhen Zhuang 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.
Qin, Chuan, et al.. (2025). COTR: Efficient Job Task Recognition for Occupational Information Systems with Class-Incremental Learning. ACM Transactions on Management Information Systems. 16(2). 1–30. 2 indexed citations
2.
Zhang, Zhao, et al.. (2025). FairDgcl: Fairness-Aware Recommendation With Dynamic Graph Contrastive Learning. IEEE Transactions on Knowledge and Data Engineering. 37(9). 5230–5242. 1 indexed citations
3.
Zhang, Fuwei, et al.. (2024). Temporal Knowledge Graph Reasoning With Dynamic Memory Enhancement. IEEE Transactions on Knowledge and Data Engineering. 36(11). 7115–7128. 3 indexed citations
4.
Zhang, Xiao, Huashan Chen, Zekai Chen, et al.. (2024). Rethinking Robust Multivariate Time Series Anomaly Detection: A Hierarchical Spatio-Temporal Variational Perspective. IEEE Transactions on Knowledge and Data Engineering. 36(12). 9136–9149. 2 indexed citations
5.
Zhao, Pengpeng, Lei Zhao, Guanfeng Liu, et al.. (2024). Meta-optimized Structural and Semantic Contrastive Learning for Graph Collaborative Filtering. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 679–691. 1 indexed citations
6.
Zhang, Yuting, Ying Sun, Yongchun Zhu, et al.. (2024). Unified Dual-Intent Translation for Joint Modeling of Search and Recommendation. arXiv (Cornell University). 6291–6300. 1 indexed citations
7.
Zhao, Pengpeng, et al.. (2024). Intent Contrastive Learning with Cross Subsequences for Sequential Recommendation. 548–556. 17 indexed citations
8.
Xie, Ruobing, Zhao Zhang, Xu Zhang, et al.. (2024). DFGNN: Dual-frequency Graph Neural Network for Sign-aware Feedback. 3437–3447. 4 indexed citations
9.
Jiang, Ting, Shaohan Huang, Zhongzhi Luan, Deqing Wang, & Fuzhen Zhuang. (2024). Scaling Sentence Embeddings with Large Language Models. 3182–3196. 8 indexed citations
10.
11.
Xie, Ruobing, Yongchun Zhu, Fuzhen Zhuang, et al.. (2024). Personalized Prompt for Sequential Recommendation. IEEE Transactions on Knowledge and Data Engineering. 36(7). 3376–3389. 27 indexed citations
12.
Xie, Ruobing, Zhao Zhang, Yongchun Zhu, et al.. (2023). Attacking Pre-trained Recommendation. 1811–1815. 3 indexed citations
13.
Zhang, Yuting, et al.. (2023). Modeling Dual Period-Varying Preferences for Takeaway Recommendation. arXiv (Cornell University). 5628–5638. 3 indexed citations
14.
Li, Qiming, et al.. (2023). Topic-aware Intention Network for Explainable Recommendation with Knowledge Enhancement. ACM Transactions on Information Systems. 41(4). 1–23. 6 indexed citations
15.
16.
Zhao, Pengpeng, et al.. (2023). Frequency Enhanced Hybrid Attention Network for Sequential Recommendation. 78–88. 37 indexed citations
17.
Zhuang, Fuzhen, et al.. (2023). Knowledge-based Multiple Adaptive Spaces Fusion for Recommendation. 565–575. 2 indexed citations
18.
Chen, Zekai, Xiao Zhang, Xu Chen, et al.. (2021). FedHAR: Semi-Supervised Online Learning for Personalized Federated Human Activity Recognition. IEEE Transactions on Mobile Computing. 22(6). 3318–3332. 66 indexed citations
19.
Zhu, Yongchun, Fuzhen Zhuang, Jindong Wang, et al.. (2020). Deep Subdomain Adaptation Network for Image Classification. IEEE Transactions on Neural Networks and Learning Systems. 32(4). 1713–1722. 843 indexed citations breakdown →
20.
Cai, Qingpeng, et al.. (2018). Policy Gradients for Contextual Bandits.. arXiv (Cornell University). 1 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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