Ruining He
Impact in
- Information Systems top 0.5%
- Recommender Systems and Techniques
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- Image Retrieval and Classification Techniques
- Generative Adversarial Networks and Image Synthesis
- Advanced Image and Video Retrieval Techniques
Papers in
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- Recommender Systems and Techniques 4
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- Multimodal Machine Learning Applications 2
- Visual Attention and Saliency Detection 2
- Image Retrieval and Classification Techniques 2
- Co-authors
- Julian McAuley (6 shared papers)Anirudh Ravula (2 shared papers)Bhargav Kanagal (1 shared paper)Joshua Ainslie (1 shared paper)Wang-Cheng Kang (1 shared paper)Junfeng Li (2 shared papers)Chunbin Lin (2 shared papers)Jianguo Wang (1 shared paper)
- Journals
- Chemosphere (1 paper)Journal of Water Process Engineering (1 paper)Proceedings of the VLDB Endowment (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Ruining He
11 papers receiving 1.1k citations
Ruining He's Hit Papers
Peers
Comparison fields: 5 of 69
- Information Systems 867
- Computer Vision and Pattern Recognition 442
- Artificial Intelligence 667
- Management Science and Operations Research 189
- Transportation 69
Countries citing papers authored by Ruining He
This map shows the geographic impact of Ruining He'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 Ruining He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruining He more than expected).
Fields of papers citing papers by Ruining He
This network shows the impact of papers produced by Ruining He. 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 Ruining He. The network helps show where Ruining He may publish in the future.
Co-authors
The 22 scholars most cited alongside Ruining He, 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 | VBPR: Visual Bayesian Personalized Ranking from Implicit Feedback Hit paper breakdown → | 2016 | 513 |
| 2 | Fusing Similarity Models with Markov Chains for Sparse Sequential Recommendation Hit paper breakdown → | 2016 | 401 |
| 3 | 2016 | 55 | |
| 4 | 2021 | 54 | |
| 5 | 2018 | 30 | |
| 6 | 2017 | 29 | |
| 7 | 2022 | 25 | |
| 8 | 2017 | 24 | |
| 9 | 2022 | 17 | |
| 10 | 2022 | 6 | |
| 11 | 2016 | 4 |
About Ruining He
Ruining He is a scholar working on Information Systems, Computer Vision and Pattern Recognition, Artificial Intelligence, Management Science and Operations Research and Water Science and Technology, having authored 11 papers that have together received 1.2k indexed citations. Recurring topics across this work include Recommender Systems and Techniques (4 papers), Advanced Graph Neural Networks (3 papers), Multimodal Machine Learning Applications (2 papers), Advanced Bandit Algorithms Research (2 papers), Visual Attention and Saliency Detection (2 papers), Image Retrieval and Classification Techniques (2 papers), Topic Modeling (2 papers) and Complex Network Analysis Techniques (1 paper). The work is most often cited by research in Information Systems (867 citations), Computer Vision and Pattern Recognition (442 citations), Artificial Intelligence (667 citations), Management Science and Operations Research (189 citations) and Transportation (69 citations). Ruining He has collaborated with scholars based in United States and China. Frequent co-authors include Julian McAuley, Anirudh Ravula, Bhargav Kanagal, Joshua Ainslie, Wang-Cheng Kang, Junfeng Li, Chunbin Lin, Jianguo Wang, Shenglin Liu and Chunyang Chen. Their work appears in journals such as Chemosphere, Journal of Water Process Engineering, Proceedings of the VLDB Endowment 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.