Yudong Chen
Impact in
- Computational Mathematics top 0.1%
- Tensor decomposition and applications
- Computational Mechanics top 0.5%
- Sparse and Compressive Sensing Techniques
Papers in
-
- Stochastic Gradient Optimization Techniques 11
- Machine Learning and Algorithms 7
-
- Sparse and Compressive Sensing Techniques 26
- Co-authors
- Wei Liu (2 shared papers)Shuicheng Yan (2 shared papers)Canyi Lu (2 shared papers)Zhouchen Lin (2 shared papers)Jiashi Feng (2 shared papers)Jiaming Xu (6 shared papers)Wenwu Zhu (3 shared papers)Xin Wang (1 shared paper)
- Journals
- IEEE Transactions on Information Theory (10 papers)ACM SIGMETRICS Performance Evaluation Review (4 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (4 papers)Mathematics of Operations Research (3 papers)Forests (3 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Yudong Chen
137 papers receiving 4.5k citations
Yudong Chen's Hit Papers
Peers
Comparison fields: 5 of 179
- Computational Mathematics 619
- Computational Mechanics 1.2k
- Computer Vision and Pattern Recognition 1.1k
- Signal Processing 417
- Artificial Intelligence 1.2k
Countries citing papers authored by Yudong Chen
This map shows the geographic impact of Yudong Chen'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 Yudong Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yudong Chen more than expected).
Fields of papers citing papers by Yudong Chen
This network shows the impact of papers produced by Yudong Chen. 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 Yudong Chen. The network helps show where Yudong Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Yudong Chen, 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 148 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Tensor Robust Principal Component Analysis with a New Tensor Nuclear Norm Hit paper breakdown → | 2019 | 754 |
| 2 | A Survey on Curriculum Learning Hit paper breakdown → | 2021 | 422 |
| 3 | Tensor Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Tensors via Convex Optimization Hit paper breakdown → | 2016 | 397 |
| 4 | Toward Edge Intelligence: Multiaccess Edge Computing for 5G and Internet of Things Hit paper breakdown → | 2020 | 359 |
| 5 | 2017 | 268 | |
| 6 | 2018 | 118 | |
| 7 | 2013 | 117 | |
| 8 | 2015 | 93 | |
| 9 | 2013 | 92 | |
| 10 | 2018 | 88 | |
| 11 | 2013 | 84 | |
| 12 | 2022 | 81 | |
| 13 | 2017 | 69 | |
| 14 | 2021 | 67 | |
| 15 | Robust Matrix Completion and Corrupted Columns | 2011 | 64 |
| 16 | 2018 | 64 | |
| 17 | 2021 | 61 | |
| 18 | Fast Algorithms for Robust PCA via Gradient Descent | 2016 | 59 |
| 19 | 2021 | 53 | |
| 20 | 2011 | 53 |
About Yudong Chen
Yudong Chen is a scholar working on Artificial Intelligence, Computational Mechanics, Statistical and Nonlinear Physics, Plant Science and Signal Processing, having authored 148 papers that have together received 4.6k indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (26 papers), Complex Network Analysis Techniques (14 papers), Stochastic Gradient Optimization Techniques (11 papers), Blind Source Separation Techniques (10 papers), Soil Carbon and Nitrogen Dynamics (10 papers), Statistical Methods and Inference (8 papers), Machine Learning and Algorithms (7 papers) and Complex Systems and Time Series Analysis (6 papers). The work is most often cited by research in Computational Mathematics (619 citations), Computational Mechanics (1.2k citations), Computer Vision and Pattern Recognition (1.1k citations), Signal Processing (417 citations) and Artificial Intelligence (1.2k citations). Yudong Chen has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Wei Liu, Shuicheng Yan, Canyi Lu, Zhouchen Lin, Jiashi Feng, Jiaming Xu, Wenwu Zhu, Xin Wang, Lili Su and Sujay Sanghavi. Their work appears in journals such as IEEE Transactions on Information Theory, ACM SIGMETRICS Performance Evaluation Review, IEEE Transactions on Pattern Analysis and Machine Intelligence, Mathematics of Operations Research and Forests.
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.