Yanru Qu
Impact in
- Artificial Intelligence top 2%
- Domain Adaptation and Few-Shot Learning
- Topic Modeling
- Advanced Graph Neural Networks
- Natural Language Processing Techniques
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- Multimodal Machine Learning Applications
- Image and Video Quality Assessment
- Image Retrieval and Classification Techniques
Papers in
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- Topic Modeling 6
- Advanced Graph Neural Networks 4
- Natural Language Processing Techniques 4
- Text and Document Classification Technologies 3
- Advanced Text Analysis Techniques 2
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- Recommender Systems and Techniques 7
- Co-authors
- Weinan Zhang (8 shared papers)Yong Yu (8 shared papers)Jian Shen (3 shared papers)Kan Ren (1 shared paper)Ying Wen (1 shared paper)Jun Wang (1 shared paper)Han Cai (1 shared paper)Ruiming Tang (5 shared papers)
- Journals
- Nanoscale (1 paper)ACM Transactions on Information Systems (1 paper)UCL Discovery (University College London) (1 paper)DOAJ (DOAJ: Directory of Open Access Journals) (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Yanru Qu
16 papers receiving 1.3k citations
Yanru Qu's Hit Papers
Peers
Comparison fields: 5 of 106
- Artificial Intelligence 789
- Computer Vision and Pattern Recognition 486
- Information Systems 491
- Urban Studies 53
- Management Science and Operations Research 81
Countries citing papers authored by Yanru Qu
This map shows the geographic impact of Yanru Qu'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 Yanru Qu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yanru Qu more than expected).
Fields of papers citing papers by Yanru Qu
This network shows the impact of papers produced by Yanru Qu. 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 Yanru Qu. The network helps show where Yanru Qu may publish in the future.
Co-authors
The 25 scholars most cited alongside Yanru Qu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Wasserstein Distance Guided Representation Learning for Domain Adaptation Hit paper breakdown → | 2018 | 496 |
| 2 | Product-Based Neural Networks for User Response Prediction Hit paper breakdown → | 2016 | 400 |
| 3 | 2018 | 133 | |
| 4 | 2020 | 55 | |
| 5 | 2018 | 52 | |
| 6 | 2019 | 42 | |
| 7 | 2020 | 27 | |
| 8 | 2023 | 19 | |
| 9 | 2024 | 15 | |
| 10 | Adversarial Representation Learning for Domain Adaptation. | 2017 | 14 |
| 11 | CoDA: Contrast-enhanced and Diversity-promoting Data Augmentation for Natural Language Understanding | 2021 | 12 |
| 12 | 2021 | 8 | |
| 13 | 2017 | 2 | |
| 14 | 2018 | 2 | |
| 15 | 2026 | 1 | |
| 16 | 2015 | 1 |
About Yanru Qu
Yanru Qu is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Computer Networks and Communications and Automotive Engineering, having authored 16 papers that have together received 1.3k indexed citations. Recurring topics across this work include Recommender Systems and Techniques (7 papers), Topic Modeling (6 papers), Advanced Graph Neural Networks (4 papers), Natural Language Processing Techniques (4 papers), Text and Document Classification Technologies (3 papers), Multimodal Machine Learning Applications (2 papers), Advanced Text Analysis Techniques (2 papers) and Image and Video Quality Assessment (2 papers). The work is most often cited by research in Artificial Intelligence (789 citations), Computer Vision and Pattern Recognition (486 citations), Information Systems (491 citations), Urban Studies (53 citations) and Management Science and Operations Research (81 citations). Yanru Qu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Weinan Zhang, Yong Yu, Jian Shen, Kan Ren, Ying Wen, Jun Wang, Han Cai, Ruiming Tang, Xiuqiang He and Huifeng Guo. Their work appears in journals such as Nanoscale, ACM Transactions on Information Systems, UCL Discovery (University College London), DOAJ (DOAJ: Directory of Open Access Journals) and Proceedings of the AAAI Conference on Artificial Intelligence.
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.