Weijie Su
Impact in
- Statistics and Probability top 2%
- Statistical Methods and Inference
- Numerical Analysis top 5%
Papers in
-
- Statistical Methods and Inference 11
- Co-authors
- Emmanuel J. CandèsStephen BoydThomas M. CooperMałgorzata BogdanTimothy J. BunningMark C. BrantHao JiangXizhou Zhu
- Journals
- Journal of the American Statistical Association (6 papers)The Annals of Statistics (6 papers)Journal of the Royal Statistical Society Series B (Statistical Methodology) (5 papers)Advanced Healthcare Materials (4 papers)Polymer (4 papers)
- Partner nations
- United StatesChinaTaiwan
In The Last Decade
Weijie Su
112 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 180
- Statistics and Probability 256
- Numerical Analysis 117
- Biomaterials 284
- Rehabilitation 139
- Computational Mathematics 11
Countries citing papers authored by Weijie Su
This map shows the geographic impact of Weijie Su'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 Weijie Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weijie Su more than expected).
Fields of papers citing papers by Weijie Su
This network shows the impact of papers produced by Weijie Su. 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 Weijie Su. The network helps show where Weijie Su may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Weijie Su, 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 | 2025 | 6 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 8 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 7 | |
| 8 | 2023 | 0 | |
| 9 | 2023 | 10 | |
| 10 | 2023 | 25 | |
| 11 | 2023 | 9 | |
| 12 | 2022 | 5 | |
| 13 | 2022 | 147 | |
| 14 | 2022 | 114 | |
| 15 | VL-BERT: Pre-training of Generic Visual-Linguistic Representations | 2020 | 112 |
| 16 | Label-Aware Neural Tangent Kernel: Toward Better Generalization and Local Elasticity | 2020 | 1 |
| 17 | The Local Elasticity of Neural Networks | 2020 | 3 |
| 18 | Acceleration via Symplectic Discretization of High-Resolution Differential Equations | 2019 | 2 |
| 19 | Detecting Replicating Signals using Adaptive Filtering Procedures with the Application in High-throughput Experiments | 2016 | 3 |
| 20 | A Differential Equation for Modeling Nesterov’s Accelerated Gradient Method: Theory and Insights | 2014 | 68 |
About Weijie Su
Weijie Su is a scholar working on Acoustics and Ultrasonics, Statistics and Probability, Dermatology, Numerical Analysis and Artificial Intelligence, having authored 126 papers that have together received 2.8k indexed citations. Recurring topics across this work include Statistical Methods and Inference (11 papers), Dermatologic Treatments and Research (8 papers), Stochastic Gradient Optimization Techniques (8 papers), Sparse and Compressive Sensing Techniques (7 papers), Porphyrin and Phthalocyanine Chemistry (7 papers), Privacy-Preserving Technologies in Data (7 papers), Injection Molding Process and Properties (7 papers) and Nonlinear Optical Materials Studies (7 papers). The work is most often cited by research in Statistics and Probability (256 citations), Numerical Analysis (117 citations), Biomaterials (284 citations), Rehabilitation (139 citations) and Computational Mathematics (11 citations). Weijie Su has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Emmanuel J. Candès, Stephen Boyd, Thomas M. Cooper, Małgorzata Bogdan, Timothy J. Bunning, Mark C. Brant, Hao Jiang, Xizhou Zhu, Chiara Sabatti and Yi Xin Zhang. Their work appears in journals such as Journal of the American Statistical Association, The Annals of Statistics, Journal of the Royal Statistical Society Series B (Statistical Methodology), Advanced Healthcare Materials and Polymer.
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.