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.
InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions
2023479 citationsWenhai Wang, Jifeng Dai et al.profile →
Deep Feature Flow for Video Recognition
2017416 citationsXizhou Zhu, Yuwen Xiong et al.profile →
Flow-Guided Feature Aggregation for Video Object Detection
2017413 citationsXizhou Zhu, Yujie Wang et al.profile →
Planning-oriented Autonomous Driving
2023349 citationsYihan Hu, Li Chen et al.profile →
An Empirical Study of Spatial Attention Mechanisms in Deep Networks
2019341 citationsXizhou Zhu, Dazhi Cheng et al.profile →
BEVFormer v2: Adapting Modern Image Backbones to Bird's-Eye-View Recognition via Perspective Supervision
2023147 citationsChenyu Yang, Yuntao Chen et al.The HKU Scholars Hub (University of Hong Kong)profile →
Intern VL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks
2024105 citationsZhe Chen, Jiannan Wu et al.profile →
Efficient Deformable ConvNets: Rethinking Dynamic and Sparse Operator for Vision Applications
202466 citationsYuwen Xiong, Zhiqi Li et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
This map shows the geographic impact of Xizhou Zhu'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 Xizhou Zhu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xizhou Zhu more than expected).
This network shows the impact of papers produced by Xizhou Zhu. 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 Xizhou Zhu. The network helps show where Xizhou Zhu may publish in the future.
Co-authorship network of co-authors of Xizhou Zhu
This figure shows the co-authorship network connecting the top 25 collaborators of Xizhou Zhu.
A scholar is included among the top collaborators of Xizhou Zhu 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 Xizhou Zhu. Xizhou Zhu is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Hu, Yihan, Li Chen, Keyu Li, et al.. (2023). Planning-oriented Autonomous Driving. 17853–17862.349 indexed citations breakdown →
10.
Yang, Chenyu, Yuntao Chen, Hao Tian, et al.. (2023). BEVFormer v2: Adapting Modern Image Backbones to Bird's-Eye-View Recognition via Perspective Supervision. The HKU Scholars Hub (University of Hong Kong). 17830–17839.147 indexed citations breakdown →
11.
Wang, Wenhai, Jifeng Dai, Zhe Chen, et al.. (2023). InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions. 14408–14419.479 indexed citations breakdown →
Li, Hao, Chenxin Tao, Xizhou Zhu, et al.. (2020). Auto Seg-Loss: Searching Metric Surrogates for Semantic Segmentation. arXiv (Cornell University).6 indexed citations
16.
Su, Weijie, Xizhou Zhu, Yue Cao, et al.. (2020). VL-BERT: Pre-training of Generic Visual-Linguistic Representations. International Conference on Learning Representations.112 indexed citations
17.
Zhu, Xizhou, Dazhi Cheng, Zheng Zhang, Stephen Lin, & Jifeng Dai. (2019). An Empirical Study of Spatial Attention Mechanisms in Deep Networks. 6687–6696.341 indexed citations breakdown →
18.
Zhu, Xizhou, Yujie Wang, Jifeng Dai, Lu Yuan, & Yichen Wei. (2017). Flow-Guided Feature Aggregation for Video Object Detection. 408–417.413 indexed citations breakdown →
19.
Zhu, Xizhou, Yuwen Xiong, Jifeng Dai, Lu Yuan, & Yichen Wei. (2017). Deep Feature Flow for Video Recognition. 4141–4150.416 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.