Weiwen Liu

1.5k total citations · 1 hit paper
54 papers, 750 citations indexed

About

Weiwen Liu is a scholar working on Information Systems, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Weiwen Liu has authored 54 papers receiving a total of 750 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Information Systems, 34 papers in Artificial Intelligence and 12 papers in Computer Vision and Pattern Recognition. Recurrent topics in Weiwen Liu's work include Recommender Systems and Techniques (33 papers), Topic Modeling (16 papers) and Advanced Graph Neural Networks (14 papers). Weiwen Liu is often cited by papers focused on Recommender Systems and Techniques (33 papers), Topic Modeling (16 papers) and Advanced Graph Neural Networks (14 papers). Weiwen Liu collaborates with scholars based in China, Hong Kong and Macao. Weiwen Liu's co-authors include Junyang Chen, Zhiguo Gong, Ruiming Tang, Guan-Chun Luh, Weinan Zhang, Yong Yu, Bo Chen, Jianghao Lin, Xiuqiang He and Patrick P. K. Chan and has published in prestigious journals such as IEEE Access, Information Sciences and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Weiwen Liu

49 papers receiving 724 citations

Hit Papers

align trajectories sort by overperformance

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.

How Can Recommender Systems Benefit from Large Language Models: A Survey

2024 53 citations Jianghao Lin, Xinyi Dai et al. ACM Transactions on Information Systems profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Weiwen Liu China	16	448	367	164	94	72	54	750
Haifeng Liu China	12	353 0.8×	582 1.6×	259 1.6×	105 1.1×	50 0.7×	33	834
Vikram Pudi India	13	368 0.8×	268 0.7×	102 0.6×	38 0.4×	81 1.1×	54	587
Yukuo Cen China	10	599 1.3×	333 0.9×	191 1.2×	70 0.7×	31 0.4×	17	822
Evan Wei Xiang Hong Kong	14	524 1.2×	550 1.5×	192 1.2×	120 1.3×	94 1.3×	20	892
Mohamed Nazih Omri Tunisia	15	332 0.7×	337 0.9×	124 0.8×	48 0.5×	65 0.9×	103	798
Meng Qu United States	17	855 1.9×	203 0.6×	161 1.0×	143 1.5×	62 0.9×	27	1.2k
Pengwei Wang China	18	467 1.0×	505 1.4×	154 0.9×	67 0.7×	43 0.6×	89	1.0k
Mohammed Kayed Egypt	13	395 0.9×	512 1.4×	130 0.8×	76 0.8×	90 1.3×	39	985
Xiaoyan Cai China	21	886 2.0×	440 1.2×	129 0.8×	46 0.5×	34 0.5×	73	1.1k

Countries citing papers authored by Weiwen Liu

Since Specialization

Citations

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

Fields of papers citing papers by Weiwen Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weiwen Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Weiwen Liu. A scholar is included among the top collaborators of Weiwen 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 Weiwen Liu. Weiwen Liu 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

Zhang, Weiming, Xinyi Dai, Weiwen Liu, et al.. (2025). NL-Debugging: Exploiting Natural Language as an Intermediate Representation for Code Debugging. 1533–1549.

Xia, Wei, et al.. (2025). RethinkMCTS: Refining Erroneous Thoughts in Monte Carlo Tree Search for Code Generation. 8103–8121. 1 indexed citations

Qin, Jiarui, Weiwen Liu, Weinan Zhang, & Yong Yu. (2025). D2K: Turning Historical Data into Retrievable Knowledge for Recommender Systems. 472–482. 1 indexed citations

Zhu, Jieming, Yankai Chen, Guohao Cai, et al.. (2024). EASE: Learning Lightweight Semantic Feature Adapters from Large Language Models for CTR Prediction. 4819–4827.

Lin, Jianghao, Xinyi Dai, Weiwen Liu, et al.. (2024). How Can Recommender Systems Benefit from Large Language Models: A Survey. ACM Transactions on Information Systems. 43(2). 1–47. 53 indexed citations breakdown →

Liu, Weiwen, et al.. (2024). Utility-Oriented Reranking with Counterfactual Context. ACM Transactions on Knowledge Discovery from Data. 18(8). 1–22.

Liu, Weiwen, Jianghao Lin, Hong Zhu, et al.. (2024). Towards Open-World Recommendation with Knowledge Augmentation from Large Language Models. 12–22. 36 indexed citations

Lin, Jianghao, Weiwen Liu, Ruiming Tang, et al.. (2023). An F-shape Click Model for Information Retrieval on Multi-block Mobile Pages. 1057–1065. 9 indexed citations

Liu, Weiwen, et al.. (2023). Integrated Ranking for News Feed with Reinforcement Learning. 480–484. 1 indexed citations

10.

Chen, Bo, Xinyi Dai, Weinan Zhang, et al.. (2023). A Survey on Bid Optimization in Real-Time Bidding Display Advertising. ACM Transactions on Knowledge Discovery from Data. 18(3). 1–31. 6 indexed citations

11.

Liu, Weiwen, Yang Wang, Ruiming Tang, et al.. (2023). On-device Integrated Re-ranking with Heterogeneous Behavior Modeling. 5225–5236. 3 indexed citations

12.

Qin, Jiarui, Weinan Zhang, Weiwen Liu, et al.. (2023). Learning to Retrieve User Behaviors for Click-through Rate Estimation. ACM Transactions on Information Systems. 41(4). 1–31. 8 indexed citations

13.

Chen, Bo, Weiwen Liu, Xinyi Dai, et al.. (2023). Optimal Real-Time Bidding Strategy for Position Auctions in Online Advertising. 4766–4772. 1 indexed citations

14.

Lin, Jianghao, Weiwen Liu, Xinyi Dai, et al.. (2023). A Bird's-eye View of Reranking: From List Level to Page Level. 1075–1083. 16 indexed citations

15.

Chen, Bo, Xinyi Dai, Weiwen Liu, et al.. (2023). Deep Landscape Forecasting in Multi-Slot Real-Time Bidding. 4685–4695. 5 indexed citations

16.

Chen, Junyang, Zhiguo Gong, Wei Wang, Weiwen Liu, & Xiao Dong. (2021). CRL: Collaborative Representation Learning by Coordinating Topic Modeling and Network Embeddings. IEEE Transactions on Neural Networks and Learning Systems. 33(8). 3765–3777. 8 indexed citations

17.

Chen, Junyang, Zhiguo Gong, Wei Wang, et al.. (2021). Adversarial Caching Training: Unsupervised Inductive Network Representation Learning on Large-Scale Graphs. IEEE Transactions on Neural Networks and Learning Systems. 33(12). 7079–7090. 25 indexed citations

18.

Chen, Junyang, Zhiguo Gong, Wei Wang, et al.. (2021). Self-Training Enhanced: Network Embedding and Overlapping Community Detection With Adversarial Learning. IEEE Transactions on Neural Networks and Learning Systems. 33(11). 6737–6748. 25 indexed citations

19.

Liu, Weiwen, Yin Zhang, Jianling Wang, et al.. (2021). Item Relationship Graph Neural Networks for E-Commerce. IEEE Transactions on Neural Networks and Learning Systems. 33(9). 4785–4799. 47 indexed citations

20.

Chen, Junyang, Zhiguo Gong, Wei Wang, et al.. (2020). TAM: Targeted Analysis Model With Reinforcement Learning on Short Texts. IEEE Transactions on Neural Networks and Learning Systems. 32(6). 2772–2781. 4 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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