Weiming Liu

1.0k total citations
59 papers, 531 citations indexed

About

Weiming Liu is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Weiming Liu has authored 59 papers receiving a total of 531 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Artificial Intelligence, 24 papers in Information Systems and 11 papers in Computer Networks and Communications. Recurrent topics in Weiming Liu's work include Recommender Systems and Techniques (21 papers), Advanced Graph Neural Networks (12 papers) and Data Management and Algorithms (10 papers). Weiming Liu is often cited by papers focused on Recommender Systems and Techniques (21 papers), Advanced Graph Neural Networks (12 papers) and Data Management and Algorithms (10 papers). Weiming Liu collaborates with scholars based in China, Australia and United States. Weiming Liu's co-authors include Chaochao Chen, Sanjiang Li, Xiaolin Zheng, Jiajie Su, Yanchao Tan, Xiaotong Zhang, Mingsheng Ying, Jochen Renz, Kalpathi Subramanian and Bryan S. Morse and has published in prestigious journals such as Artificial Intelligence, Neurocomputing and IEEE Transactions on Knowledge and Data Engineering.

In The Last Decade

Weiming Liu

50 papers receiving 515 citations

Peers

Weiming Liu
Luyi Bai China
Changqing Ji China
Vlastislav Dohnal Czechia
Jeffrey Jestes United States
Alexey Pryakhin Germany
Ashwin Lall United States
Jae‐Woo Chang South Korea
Shiting Wen China
Christoph F. Eick United States
Makoto Onizuka Japan
Luyi Bai China
Weiming Liu
Citations per year, relative to Weiming Liu Weiming Liu (= 1×) peers Luyi Bai

Countries citing papers authored by Weiming Liu

Since Specialization
Citations

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

Fields of papers citing papers by Weiming Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weiming Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Weiming Liu. A scholar is included among the top collaborators of Weiming 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 Weiming Liu. Weiming 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.
Li, Yuyuan, et al.. (2025). Multi-Objective Unlearning in Recommender Systems via Preference Guided Pareto Exploration. IEEE Transactions on Services Computing. 18(5). 3052–3064.
2.
Chen, Chaochao, et al.. (2025). FedGF: Enhancing Structural Knowledge via Graph Factorization for Federated Graph Learning. 448–456. 1 indexed citations
3.
4.
Wang, Fan, et al.. (2025). Structure-Preserving Counterfactual Regression for Personalized Consumer-Electronics Service Networks. IEEE Transactions on Consumer Electronics. 71(4). 12276–12287.
5.
Wang, Fan, Chaochao Chen, Weiming Liu, et al.. (2025). Cluster-Enhanced Dual Discrete Collaborative Filtering for Efficient Recommendation. IEEE Transactions on Knowledge and Data Engineering. 38(1). 138–151.
6.
Zheng, Xiaolin, et al.. (2024). Mining User Consistent and Robust Preference for Unified Cross Domain Recommendation. IEEE Transactions on Knowledge and Data Engineering. 36(12). 8758–8772. 1 indexed citations
7.
Tan, Yanchao, Wenzhong Guo, Weiming Liu, et al.. (2024). Logical Relation Modeling and Mining in Hyperbolic Space for Recommendation. 1310–1323.
8.
9.
10.
11.
Liu, Weiming, et al.. (2024). Towards Efficient and Diverse Generative Model for Unconditional Human Motion Synthesis. 2535–2544. 1 indexed citations
12.
Wang, Fan, et al.. (2024). CE-RCFR: Robust Counterfactual Regression for Consensus-Enabled Treatment Effect Estimation. 3013–3023. 9 indexed citations
13.
Liu, Weiming, et al.. (2023). Contrastive Proxy Kernel Stein Path Alignment for Cross-Domain Cold-Start Recommendation. IEEE Transactions on Knowledge and Data Engineering. 35(11). 11216–11230. 22 indexed citations
14.
Tan, Yanchao, Weiming Liu, Fan Wang, et al.. (2023). Contrastive Intra- and Inter-Modality Generation for Enhancing Incomplete Multimedia Recommendation. 6234–6242. 9 indexed citations
15.
Xu, Shuchang, et al.. (2023). FlexIcon: Flexible Icon Colorization via Guided Images and Palettes. 8662–8673. 3 indexed citations
16.
Yan, Xiao, et al.. (2023). Self-Driven Dual-Path Learning for Reference-Based Line Art Colorization Under Limited Data. IEEE Transactions on Circuits and Systems for Video Technology. 34(3). 1388–1402. 5 indexed citations
17.
18.
Liu, Weiming, Xiaolin Zheng, Chaochao Chen, et al.. (2023). Differentially Private Sparse Mapping for Privacy-Preserving Cross Domain Recommendation. 6243–6252. 4 indexed citations
19.
Zheng, Xing, et al.. (2023). Thermal Runaway Simulation of Lithium Iron Phosphate Battery Based on Pyrosim Software. 52–56. 1 indexed citations
20.
Su, Jiajie, et al.. (2023). Personalized Behavior-Aware Transformer for Multi-Behavior Sequential Recommendation. 6321–6331. 19 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Luyi Bai Breakdown of academic impact, for papers by Changqing Ji Breakdown of academic impact, for papers by Vlastislav Dohnal Breakdown of academic impact, for papers by Jeffrey Jestes Breakdown of academic impact, for papers by Alexey Pryakhin Breakdown of academic impact, for papers by Ashwin Lall Breakdown of academic impact, for papers by Jae‐Woo Chang Breakdown of academic impact, for papers by Shiting Wen Breakdown of academic impact, for papers by Christoph F. Eick Breakdown of academic impact, for papers by Makoto Onizuka
Rankless by CCL
2026