Wenwu Ou

4.6k total citations · 2 hit papers
30 papers, 2.1k citations indexed

About

Wenwu Ou is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Wenwu Ou has authored 30 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 19 papers in Information Systems and 10 papers in Computer Vision and Pattern Recognition. Recurrent topics in Wenwu Ou's work include Recommender Systems and Techniques (17 papers), Topic Modeling (11 papers) and Advanced Bandit Algorithms Research (7 papers). Wenwu Ou is often cited by papers focused on Recommender Systems and Techniques (17 papers), Topic Modeling (11 papers) and Advanced Bandit Algorithms Research (7 papers). Wenwu Ou collaborates with scholars based in China, United States and Singapore. Wenwu Ou's co-authors include Fei Sun, Lin Xiao, Changhua Pei, Peng Jiang, Jian Wu, Jun Liu, Wei Li, Huan Zhao, Qiwei Chen and Pipei Huang and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, ACM Transactions on Information Systems and Rare & Special e-Zone (The Hong Kong University of Science and Technology).

In The Last Decade

Wenwu Ou

30 papers receiving 2.0k citations

Hit Papers

BERT4Rec 2019 2026 2021 2023 2019 2019 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wenwu Ou China 16 1.6k 1.3k 546 454 184 30 2.1k
Peng Jiang China 18 1.5k 0.9× 1.2k 0.9× 476 0.9× 472 1.0× 135 0.7× 58 2.0k
Ruiming Tang China 26 1.6k 1.0× 1.4k 1.1× 548 1.0× 483 1.1× 205 1.1× 150 2.2k
Xiuqiang He China 27 1.7k 1.1× 1.6k 1.2× 744 1.4× 463 1.0× 238 1.3× 99 2.5k
Ying Fan China 9 1.6k 1.0× 1.1k 0.8× 747 1.4× 374 0.8× 303 1.6× 24 2.1k
Chang Zhou China 21 1.3k 0.8× 1.4k 1.1× 769 1.4× 272 0.6× 282 1.5× 53 2.2k
Xiaoqiang Zhu China 8 1.8k 1.1× 1.3k 0.9× 823 1.5× 453 1.0× 328 1.8× 15 2.3k
Changhua Pei China 10 1.2k 0.7× 988 0.7× 380 0.7× 339 0.7× 223 1.2× 30 1.6k
Xu Chen China 20 1.3k 0.8× 1.3k 1.0× 487 0.9× 330 0.7× 228 1.2× 121 2.1k
Yue Shi Netherlands 19 1.5k 0.9× 882 0.7× 570 1.0× 398 0.9× 264 1.4× 45 2.0k

Countries citing papers authored by Wenwu Ou

Since Specialization
Citations

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

Fields of papers citing papers by Wenwu Ou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wenwu Ou

This figure shows the co-authorship network connecting the top 25 collaborators of Wenwu Ou. A scholar is included among the top collaborators of Wenwu Ou 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 Wenwu Ou. Wenwu Ou 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
2.
Zhang, Chi, et al.. (2023). CounterCLR: Counterfactual Contrastive Learning with Non-random Missing Data in Recommendation. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1355–1360. 6 indexed citations
3.
Zhang, Shuai, et al.. (2021). Learning User Representations with Hypercuboids for Recommender Systems. 716–724. 12 indexed citations
4.
Xie, Xu, Fei Sun, Xiaoyong Yang, et al.. (2021). Explore User Neighborhood for Real-time E-commerce Recommendation. 2464–2475. 15 indexed citations
5.
Zhang, Yuan, Fei Sun, Xiaoyong Yang, et al.. (2020). Graph-based Regularization on Embedding Layers for Recommendation. ACM Transactions on Information Systems. 39(1). 1–27. 12 indexed citations
6.
Jiang, Ziwen, Yufei Feng, Binbin Hu, et al.. (2020). EdgeRec. 2477–2484. 40 indexed citations
7.
Chen, Xu, Quan Li, Junfeng Ge, et al.. (2020). Privileged Features Distillation at Taobao Recommendations. 2590–2598. 40 indexed citations
8.
Xiao, Rong, Jianhui Ji, Baoliang Cui, et al.. (2019). Weakly Supervised Co-Training of Query Rewriting andSemantic Matching for e-Commerce. 402–410. 15 indexed citations
9.
Gong, Yu, et al.. (2019). Automatic Generation of Chinese Short Product Titles for Mobile Display. Proceedings of the AAAI Conference on Artificial Intelligence. 33(1). 9460–9465. 13 indexed citations
10.
Gong, Yu, Xusheng Luo, Yu Zhu, et al.. (2019). Deep Cascade Multi-Task Learning for Slot Filling in Online Shopping Assistant. Proceedings of the AAAI Conference on Artificial Intelligence. 33(1). 6465–6472. 20 indexed citations
11.
Zhu, Yu, Yu Gong, Qingwen Liu, et al.. (2019). Query-based Interactive Recommendation by Meta-Path and Adapted Attention-GRU. 4. 2585–2593. 14 indexed citations
12.
Pei, Changhua, Qing Cui, Lin Xiao, et al.. (2019). Value-aware Recommendation based on Reinforcement Profit Maximization. 3123–3129. 31 indexed citations
13.
Sun, Fei, et al.. (2019). Compositional network embedding for link prediction. 388–392. 3 indexed citations
14.
Sun, Fei, Jun Liu, Jian Wu, et al.. (2019). BERT4Rec. 1441–1450. 1219 indexed citations breakdown →
15.
Gong, Yu, Xusheng Luo, Kenny Q. Zhu, Xi Chen, & Wenwu Ou. (2018). Deep Cascade Multi-task Learning for Slot Filling in Chinese E-commerce Shopping Guide Assistant.. arXiv (Cornell University). 1 indexed citations
16.
Xu, Chen, et al.. (2018). Alternating Multi-bit Quantization for Recurrent Neural Networks. International Conference on Learning Representations. 28 indexed citations
17.
Li, Heng, Minlie Huang, Shichen Liu, et al.. (2018). Learning to Collaborate. 1939–1948. 42 indexed citations
18.
Xu, Chen, et al.. (2018). Learning Representations of Categorical Feature Combinations via Self-Attention. 1 indexed citations
19.
Shen, Zebang, et al.. (2018). JUMP: a Jointly Predictor for User Click and Dwell Time. 3704–3710. 9 indexed citations
20.
Sun, Fei, Peng Jiang, Hanxiao Sun, et al.. (2018). Multi-Source Pointer Network for Product Title Summarization. 7–16. 25 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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