Zhiwei Liu

2.9k total citations · 2 hit papers
69 papers, 952 citations indexed

About

Zhiwei Liu is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Zhiwei Liu has authored 69 papers receiving a total of 952 indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Artificial Intelligence, 34 papers in Information Systems and 10 papers in Computer Vision and Pattern Recognition. Recurrent topics in Zhiwei Liu's work include Recommender Systems and Techniques (25 papers), Advanced Graph Neural Networks (22 papers) and Topic Modeling (17 papers). Zhiwei Liu is often cited by papers focused on Recommender Systems and Techniques (25 papers), Advanced Graph Neural Networks (22 papers) and Topic Modeling (17 papers). Zhiwei Liu collaborates with scholars based in China, United States and Australia. Zhiwei Liu's co-authors include Philip S. Yu, Ziwei Fan, Caiming Xiong, Julian McAuley, Jia Li, Hao Peng, Yongjun Chen, Liangwei Yang, Lei Zheng and Yun Xiong and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Sustainability.

In The Last Decade

Zhiwei Liu

56 papers receiving 940 citations

Hit Papers

Intent Contrastive Learning for Sequential Recommendation 2022 2026 2023 2024 2022 2022 50 100 150 200
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. Intent Contrastive Learning for Sequential Recommendation
    2022 206 citations Zhiwei Liu et al. profile →
  2. Federated Social Recommendation with Graph Neural Network
    2022 116 citations Zhiwei Liu, Liangwei Yang 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
Zhiwei Liu China 13 656 643 158 156 71 69 952
Anlei Dong United States 17 408 0.6× 350 0.5× 275 1.7× 58 0.4× 77 1.1× 39 798
Jiaxi Tang China 9 400 0.6× 355 0.6× 178 1.1× 150 1.0× 39 0.5× 13 588
Cláudia Bauzer Medeiros Brazil 15 297 0.5× 290 0.5× 112 0.7× 44 0.3× 222 3.1× 114 796
Kamal K. Bharadwaj India 14 518 0.8× 309 0.5× 123 0.8× 66 0.4× 107 1.5× 28 768
Tong Zhao China 11 640 1.0× 422 0.7× 132 0.8× 111 0.7× 108 1.5× 26 853
Marieke van Erp Netherlands 18 242 0.4× 1.0k 1.6× 123 0.8× 181 1.2× 42 0.6× 63 1.2k
Fajie Yuan China 16 925 1.4× 815 1.3× 318 2.0× 224 1.4× 62 0.9× 45 1.2k
William H. Hsu United States 14 203 0.3× 326 0.5× 60 0.4× 33 0.2× 79 1.1× 48 647
Yongfeng Zhang China 11 574 0.9× 590 0.9× 200 1.3× 84 0.5× 55 0.8× 26 875
Steven Schockaert United Kingdom 20 152 0.2× 869 1.4× 182 1.2× 70 0.4× 201 2.8× 161 1.4k

Countries citing papers authored by Zhiwei Liu

Since Specialization
Citations

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

Fields of papers citing papers by Zhiwei Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhiwei Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Zhiwei Liu. A scholar is included among the top collaborators of Zhiwei Liu 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 Zhiwei Liu. Zhiwei Liu 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.
Huang, Hai, et al.. (2025). Deep learning-based improved side-channel attacks using data denoising and feature fusion. PLoS ONE. 20(4). e0315340–e0315340.
2.
Jiang, Ming, Zhiwei Liu, & Yan Xu. (2025). A traffic prediction method for missing data scenarios: graph convolutional recurrent ordinary differential equation network. Complex & Intelligent Systems. 11(2). 1 indexed citations
3.
4.
Gao, Hang, Chen Wang, Zhiwei Liu, et al.. (2025). Recommender Systems Meet Large Language Model Agents: A Survey. 7(4). 247–396.
5.
Zheng, Jiwen, et al.. (2024). RSD-based high-performance radix-4 Montgomery Modular Multiplication for Elliptic Curve Cryptography. Microelectronics Journal. 153. 106433–106433. 1 indexed citations
6.
Liu, Zhiwei, et al.. (2024). Instruction-based Hypergraph Pretraining. 501–511. 4 indexed citations
7.
Peng, Hao, Zhiwei Liu, Jianxin Li, et al.. (2024). CoSENT: Consistent Sentence Embedding via Similarity Ranking. IEEE/ACM Transactions on Audio Speech and Language Processing. 32. 2800–2813. 7 indexed citations
8.
Liu, Zhiwei, et al.. (2024). Unified Pretraining for Recommendation via Task Hypergraphs. 891–900. 6 indexed citations
9.
Wang, Chen, et al.. (2024). Collaborative Alignment for Recommendation. 2315–2325. 3 indexed citations
10.
Yang, Liangwei, et al.. (2024). Knowledge Graph Context-Enhanced Diversified Recommendation. 462–471. 8 indexed citations
11.
12.
Fan, Ziwei, Zhiwei Liu, Hao Peng, & Philip S. Yu. (2023). Mutual Wasserstein Discrepancy Minimization for Sequential Recommendation. 1375–1385. 12 indexed citations
13.
Liu, Zhiwei, et al.. (2023). High-performance unified modular multiplication algorithm and hardware architecture over G(2m). Integration. 96. 102124–102124. 1 indexed citations
14.
Liu, Zhiwei, et al.. (2023). Locally Activated Gated Neural Network for Automatic Music Genre Classification. Applied Sciences. 13(8). 5010–5010. 11 indexed citations
15.
Yang, Liangwei, Chen Wang, Zhiwei Liu, et al.. (2023). Multi-task Item-attribute Graph Pre-training for Strict Cold-start Item Recommendation. 322–333. 10 indexed citations
16.
Jiang, Ming & Zhiwei Liu. (2023). Traffic Flow Prediction Based on Dynamic Graph Spatial-Temporal Neural Network. Mathematics. 11(11). 2528–2528. 7 indexed citations
17.
18.
Peng, Hao, et al.. (2023). Uncertainty-Guided Boundary Learning for Imbalanced Social Event Detection. IEEE Transactions on Knowledge and Data Engineering. 36(6). 2701–2715. 16 indexed citations
19.
Wang, Shen, Liangwei Yang, Jibing Gong, et al.. (2022). MetaKRec: Collaborative Meta-Knowledge Enhanced Recommender System. 2022 IEEE International Conference on Big Data (Big Data). 665–674. 3 indexed citations
20.
Liu, Zhiwei. (2008). The Related Research on Cost Prediction of Larger Weapon Equipment. Equipment Manufacturing Technology. 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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