Weijie Su

116 papers receiving 2.9k citations

Weijie Su's Hit Papers

Intern VL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks 2024 · 138 citations
1380+1Years since publication4080120

Peers

Weijie Su
Comparison fields: 5 of 176
  • Statistics and Probability 252
  • Rehabilitation 132
  • Numerical Analysis 120
  • Biomaterials 284
  • Dermatology 150
Replace Wenling Li with:
Wenling Li China
R. Sridhar India
Guoan Chen China
Guofeng Zhang China
Sivaraman Balakrishnan United States
Yuanyuan Liu China
Shuqiang Wang China
Eunjung Lee South Korea
Baowei Fei United States
Yanhong Liu China
Weijie Su relative to Wenling Li China Wenling Li's profile →
Citations per field
00.5×10×16.8×
Wenling Li · 1×
Citations per year

Countries citing papers authored by Weijie Su

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Weijie Su Line = papers co-authored together Weijie Su links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 128 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015208
2 2022160
3 2003156
4
Intern VL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks
Hit paper breakdown →
2024138
5 2015138
6 2022117
7
VL-BERT: Pre-training of Generic Visual-Linguistic Representations
2020113
8 1998109
9 199993
10 201791
11 201488
12 200886
13 201785
14 202180
15
A Differential Equation for Modeling Nesterov’s Accelerated Gradient Method: Theory and Insights
201470
16 199669
17 202354
18 201453
19 201648
20 202043

About Weijie Su

Weijie Su is a scholar working on Artificial Intelligence, Statistics and Probability, Biomedical Engineering, Materials Chemistry and Computational Mechanics, having authored 128 papers that have together received 3.0k indexed citations. Recurring topics across this work include Statistical Methods and Inference (11 papers), Stochastic Gradient Optimization Techniques (8 papers), Sparse and Compressive Sensing Techniques (7 papers), Privacy-Preserving Technologies in Data (7 papers), Porphyrin and Phthalocyanine Chemistry (7 papers), Dermatologic Treatments and Research (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 (252 citations), Rehabilitation (132 citations), Numerical Analysis (120 citations), Biomaterials (284 citations) and Dermatology (150 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, Qiuyue Ding and Tingfang Sun. Their work appears in journals such as The Annals of Statistics, Journal of the American Statistical Association, Journal of the Royal Statistical Society Series B (Statistical Methodology), Polymer and Journal of Reconstructive Microsurgery.

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.

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