Rose Yu
Impact in
- Computational Mathematics top 2%
- Tensor decomposition and applications
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- Model Reduction and Neural Networks
- Complex Network Analysis Techniques
Papers in
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- Computational Physics and Python Applications 4
- Gaussian Processes and Bayesian Inference 4
- Anomaly Detection Techniques and Applications 3
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- Model Reduction and Neural Networks 7
- Complex Network Analysis Techniques 5
- Co-authors
- Yan Liu (7 shared papers)Rui Wang (2 shared papers)Anima Anandkumar (2 shared papers)Xinran He (2 shared papers)Robin Walters (3 shared papers)Dragos B. Chirila (1 shared paper)Pedram Hassanzadeh (1 shared paper)Mohamed Elhafiz Mustafa (1 shared paper)
- Journals
- Nature Communications (3 papers)Nature Machine Intelligence (2 papers)ACM Transactions on Knowledge Discovery from Data (1 paper)International Journal of Environmental Research and Public Health (1 paper)PLoS ONE (1 paper)
- Partner nations
- United StatesHong KongUnited Kingdom
In The Last Decade
Rose Yu
43 papers receiving 1.0k citations
Rose Yu's Hit Papers
Peers
Comparison fields: 5 of 139
- Computational Mathematics 64
- Statistical and Nonlinear Physics 186
- Artificial Intelligence 303
- Atmospheric Science 134
- Signal Processing 74
Countries citing papers authored by Rose Yu
This map shows the geographic impact of Rose Yu'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 Rose Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rose Yu more than expected).
Fields of papers citing papers by Rose Yu
This network shows the impact of papers produced by Rose Yu. 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 Rose Yu. The network helps show where Rose Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Rose Yu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Physics-informed machine learning: case studies for weather and climate modelling Hit paper breakdown → | 2021 | 377 |
| 2 | 2023 | 83 | |
| 3 | 2016 | 68 | |
| 4 | 2015 | 62 | |
| 5 | Long-term Forecasting using Tensor-Train RNNs | 2017 | 55 |
| 6 | 2024 | 47 | |
| 7 | Graph Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting. | 2017 | 45 |
| 8 | 2023 | 43 | |
| 9 | 2021 | 38 | |
| 10 | Accelerated Online Low Rank Tensor Learning for Multivariate Spatiotemporal Streams | 2015 | 37 |
| 11 | 2014 | 30 | |
| 12 | 2019 | 25 | |
| 13 | 2017 | 23 | |
| 14 | Understanding the Representation Power of Graph Neural Networks in Learning Graph Topology | 2019 | 14 |
| 15 | 2016 | 14 | |
| 16 | 2021 | 13 | |
| 17 | 2023 | 10 | |
| 18 | 2025 | 9 | |
| 19 | Tensor Regression Meets Gaussian Processes | 2017 | 8 |
| 20 | 2022 | 8 |
About Rose Yu
Rose Yu is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics, Computer Vision and Pattern Recognition, Molecular Biology and Computational Mathematics, having authored 46 papers that have together received 1.1k indexed citations. Recurring topics across this work include Model Reduction and Neural Networks (7 papers), Complex Network Analysis Techniques (5 papers), Computational Physics and Python Applications (4 papers), Gaussian Processes and Bayesian Inference (4 papers), Tensor decomposition and applications (4 papers), Human-Animal Interaction Studies (3 papers), Anomaly Detection Techniques and Applications (3 papers) and Air Quality Monitoring and Forecasting (3 papers). The work is most often cited by research in Computational Mathematics (64 citations), Statistical and Nonlinear Physics (186 citations), Artificial Intelligence (303 citations), Atmospheric Science (134 citations) and Signal Processing (74 citations). Rose Yu has collaborated with scholars based in United States, Hong Kong and United Kingdom. Frequent co-authors include Yan Liu, Rui Wang, Anima Anandkumar, Xinran He, Robin Walters, Dragos B. Chirila, Pedram Hassanzadeh, Mohamed Elhafiz Mustafa, Brian White and Ashesh Chattopadhyay. Their work appears in journals such as Nature Communications, Nature Machine Intelligence, ACM Transactions on Knowledge Discovery from Data, International Journal of Environmental Research and Public Health and PLoS ONE.
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.