Yu Rong
Impact in
- Artificial Intelligence top 0.5%
- Advanced Graph Neural Networks
- Domain Adaptation and Few-Shot Learning
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- Human Pose and Action Recognition
- Multimodal Machine Learning Applications
Papers in
-
- Advanced Graph Neural Networks 30
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- Machine Learning in Materials Science 13
- Luminescence and Fluorescent Materials 12
- Co-authors
- Junzhou Huang (43 shared papers)Wenbing Huang (23 shared papers)Tingyang Xu (28 shared papers)Peilin Zhao (13 shared papers)Jiangbo Yu (13 shared papers)Daniel T. Chiu (13 shared papers)Xi Xiao (3 shared papers)Fangmao Ye (8 shared papers)
- Journals
- Proceedings of the VLDB Endowment (4 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (4 papers)ACS Nano (2 papers)Chemical Science (2 papers)Colloids and Surfaces A Physicochemical and Engineering Aspects (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Yu Rong
105 papers receiving 4.3k citations
Yu Rong's Hit Papers
Peers
Comparison fields: 5 of 150
- Artificial Intelligence 1.8k
- Computer Vision and Pattern Recognition 960
- Statistical and Nonlinear Physics 508
- Materials Chemistry 1.2k
- Information Systems 536
Countries citing papers authored by Yu Rong
This map shows the geographic impact of Yu Rong'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 Yu Rong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu Rong more than expected).
Fields of papers citing papers by Yu Rong
This network shows the impact of papers produced by Yu Rong. 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 Yu Rong. The network helps show where Yu Rong may publish in the future.
Co-authors
The 25 scholars most cited alongside Yu Rong, 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 114 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Rumor Detection on Social Media with Bi-Directional Graph Convolutional Networks Hit paper breakdown → | 2020 | 458 |
| 2 | Graph Representation Learning via Graphical Mutual Information Maximization Hit paper breakdown → | 2020 | 347 |
| 3 | Graph Convolutional Networks for Temporal Action Localization Hit paper breakdown → | 2019 | 346 |
| 4 | Progressive Feature Alignment for Unsupervised Domain Adaptation Hit paper breakdown → | 2019 | 307 |
| 5 | 2016 | 237 | |
| 6 | 2013 | 193 | |
| 7 | 2014 | 139 | |
| 8 | 2012 | 115 | |
| 9 | 2004 | 106 | |
| 10 | 2012 | 104 | |
| 11 | 2018 | 99 | |
| 12 | 2019 | 98 | |
| 13 | 2023 | 91 | |
| 14 | 2013 | 88 | |
| 15 | 2020 | 87 | |
| 16 | 2013 | 85 | |
| 17 | 2022 | 73 | |
| 18 | 2021 | 63 | |
| 19 | 2022 | 50 | |
| 20 | 2022 | 50 |
About Yu Rong
Yu Rong is a scholar working on Artificial Intelligence, Materials Chemistry, Molecular Biology, Statistical and Nonlinear Physics and Computer Vision and Pattern Recognition, having authored 114 papers that have together received 4.3k indexed citations. Recurring topics across this work include Advanced Graph Neural Networks (30 papers), Complex Network Analysis Techniques (20 papers), Computational Drug Discovery Methods (13 papers), Machine Learning in Materials Science (13 papers), Luminescence and Fluorescent Materials (12 papers), Graph Theory and Algorithms (9 papers), Recommender Systems and Techniques (8 papers) and Advanced biosensing and bioanalysis techniques (8 papers). The work is most often cited by research in Artificial Intelligence (1.8k citations), Computer Vision and Pattern Recognition (960 citations), Statistical and Nonlinear Physics (508 citations), Materials Chemistry (1.2k citations) and Information Systems (536 citations). Yu Rong has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Junzhou Huang, Wenbing Huang, Tingyang Xu, Peilin Zhao, Jiangbo Yu, Daniel T. Chiu, Xi Xiao, Fangmao Ye, Changfeng Wu and Tian Bian. Their work appears in journals such as Proceedings of the VLDB Endowment, IEEE Transactions on Pattern Analysis and Machine Intelligence, ACS Nano, Chemical Science and Colloids and Surfaces A Physicochemical and Engineering Aspects.
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.