Zhenda Xie

5.5k total citations · 4 hit papers
10 papers, 2.4k citations indexed

About

Zhenda Xie is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, Zhenda Xie has authored 10 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 9 papers in Artificial Intelligence and 1 paper in Information Systems. Recurrent topics in Zhenda Xie's work include Domain Adaptation and Few-Shot Learning (7 papers), Advanced Neural Network Applications (6 papers) and Multimodal Machine Learning Applications (5 papers). Zhenda Xie is often cited by papers focused on Domain Adaptation and Few-Shot Learning (7 papers), Advanced Neural Network Applications (6 papers) and Multimodal Machine Learning Applications (5 papers). Zhenda Xie collaborates with scholars based in China, United States and Bangladesh. Zhenda Xie's co-authors include Han Hu, Yue Cao, Zheng Zhang, Yutong Lin, Zhuliang Yao, Yixuan Wei, Baining Guo, Ze Liu, Furu Wei and Li Dong and has published in prestigious journals such as 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

In The Last Decade

Zhenda Xie

10 papers receiving 2.3k citations

Hit Papers

Swin Transformer V2: Scaling Up Capacity and Resolution 2021 2026 2022 2024 2022 2022 2021 2024 400 800 1.2k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Swin Transformer V2: Scaling Up Capacity and Resolution
    2022 1.3k citations Ze Liu, Han Hu et al. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) profile →
  2. SimMIM: a Simple Framework for Masked Image Modeling
    2022 715 citations Zhenda Xie, Zheng Zhang et al. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) profile →
  3. Propagate Yourself: Exploring Pixel-Level Consistency for Unsupervised Visual Representation Learning
    2021 221 citations Zhenda Xie, Yutong Lin et al. profile →
  4. DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models
    2024 51 citations Damai Dai, Chengqi Deng et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Zhenda Xie China 7 1.4k 786 345 239 168 10 2.4k
Zhuliang Yao China 8 1.6k 1.1× 752 1.0× 375 1.1× 218 0.9× 156 0.9× 9 2.5k
Zhongyue Zhang China 8 1.7k 1.3× 905 1.2× 368 1.1× 265 1.1× 183 1.1× 23 2.9k
Peng-Tao Jiang China 10 1.2k 0.9× 792 1.0× 266 0.8× 226 0.9× 128 0.8× 16 2.3k
Pan Zhou China 18 1.1k 0.8× 599 0.8× 296 0.9× 162 0.7× 133 0.8× 62 2.2k
Sixiao Zheng China 3 1.6k 1.2× 707 0.9× 489 1.4× 276 1.2× 143 0.9× 5 2.4k
Zheng-Ning Liu China 7 1.3k 0.9× 583 0.7× 379 1.1× 218 0.9× 181 1.1× 10 2.5k
Shanghua Gao China 11 1.7k 1.2× 687 0.9× 420 1.2× 291 1.2× 172 1.0× 14 2.7k
Meng-Hao Guo China 7 1.3k 0.9× 591 0.8× 382 1.1× 221 0.9× 180 1.1× 23 2.6k
Jiachen Lu China 8 1.7k 1.2× 723 0.9× 495 1.4× 282 1.2× 147 0.9× 32 2.6k
Abhinav Shrivastava United States 20 2.1k 1.5× 1.3k 1.7× 272 0.8× 218 0.9× 154 0.9× 73 3.2k

Countries citing papers authored by Zhenda Xie

Since Specialization
Citations

This map shows the geographic impact of Zhenda Xie'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 Zhenda Xie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhenda Xie more than expected).

Fields of papers citing papers by Zhenda Xie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zhenda Xie. 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 Zhenda Xie. The network helps show where Zhenda Xie may publish in the future.

Co-authorship network of co-authors of Zhenda Xie

This figure shows the co-authorship network connecting the top 25 collaborators of Zhenda Xie. A scholar is included among the top collaborators of Zhenda Xie based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Zhenda Xie. Zhenda Xie is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Yuan, Jingyang, Huazuo Gao, Damai Dai, et al.. (2025). Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention. 23078–23097. 3 indexed citations
2.
Chen, Xiaokang, Yiyang Ma, Xingchao Liu, et al.. (2025). Janus: Decoupling Visual Encoding for Unified Multimodal Understanding and Generation. 12966–12977. 1 indexed citations
3.
Dai, Damai, Chengqi Deng, Chenggang Zhao, et al.. (2024). DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models. 1280–1297. 51 indexed citations breakdown →
4.
Wei, Yixuan, Han Hu, Zhenda Xie, et al.. (2023). Improving CLIP Fine-tuning Performance. 5416–5426. 5 indexed citations
5.
Xie, Zhenda, Yue Cao, Yutong Lin, et al.. (2023). On Data Scaling in Masked Image Modeling. 10365–10374. 34 indexed citations
6.
Wei, Yixuan, Yue Cao, Zheng Zhang, et al.. (2023). iCLIP: Bridging Image Classification and Contrastive Language-Image Pre-training for Visual Recognition. 2776–2786. 11 indexed citations
7.
Xie, Zhenda, et al.. (2023). Revealing the Dark Secrets of Masked Image Modeling. 14475–14485. 67 indexed citations
8.
Xie, Zhenda, Zheng Zhang, Yue Cao, et al.. (2022). SimMIM: a Simple Framework for Masked Image Modeling. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 9643–9653. 715 indexed citations breakdown →
9.
Liu, Ze, Han Hu, Yutong Lin, et al.. (2022). Swin Transformer V2: Scaling Up Capacity and Resolution. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 11999–12009. 1251 indexed citations breakdown →
10.
Xie, Zhenda, Yutong Lin, Zheng Zhang, et al.. (2021). Propagate Yourself: Exploring Pixel-Level Consistency for Unsupervised Visual Representation Learning. 16679–16688. 221 indexed citations breakdown →

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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