Wenwu Ou
- Information Systems top 0.2%
- Artificial Intelligence top 1%
- Computer Vision and Pattern Recognition top 2%
- Management Science and Operations Research top 1%
- Computer Networks and Communications top 5%
- Co-authors
- Fei SunLin XiaoChanghua PeiPeng JiangJian WuJun LiuWei LiHuan Zhao
- Topics
- Recommender Systems and Techniques (17 papers)Topic Modeling (11 papers)Advanced Bandit Algorithms Research (7 papers)
- Journals
- IEEE Transactions on Knowledge and Data EngineeringACM Transactions on Information SystemsRare & Special e-Zone (The Hong Kong University of Science and Technology)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Wenwu Ou
30 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 90
- Information Systems 1.6k
- Artificial Intelligence 1.3k
- Computer Vision and Pattern Recognition 546
- Management Science and Operations Research 454
- Computer Networks and Communications 184
Countries citing papers authored by Wenwu Ou
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 6 | |
| 3 | 12 | |
| 4 | 15 | |
| 5 | 12 | |
| 6 | 40 | |
| 7 | 40 | |
| 8 | 15 | |
| 9 | 13 | |
| 10 | 20 | |
| 11 | 14 | |
| 12 | 31 | |
| 13 | 3 | |
| 14 | BERT4Recbreakdown → | 1219 |
| 15 | Deep Cascade Multi-task Learning for Slot Filling in Chinese E-commerce Shopping Guide Assistant. | 1 |
| 16 | Alternating Multi-bit Quantization for Recurrent Neural Networks | 28 |
| 17 | 42 | |
| 18 | Learning Representations of Categorical Feature Combinations via Self-Attention | 1 |
| 19 | 9 | |
| 20 | 25 |
About Wenwu Ou
Wenwu Ou is a scholar working on Information Systems, Management Science and Operations Research and Artificial Intelligence, having authored 30 papers that have together received 2.1k indexed citations. Recurring topics across this work include Recommender Systems and Techniques (17 papers), Topic Modeling (11 papers) and Advanced Bandit Algorithms Research (7 papers). The work is most often cited by research in Information Systems (1.6k citations), Artificial Intelligence (1.3k citations) and Management Science and Operations Research (454 citations). Wenwu Ou has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Fei Sun, Lin Xiao, Changhua Pei, Peng Jiang, Jian Wu, Jun Liu, Wei Li, Huan Zhao, Qiwei Chen and Pipei Huang. Their work appears in 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).
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.