Renzhe Xu

843 citations
17 papers · 276 indexed · h-index 7
Topics
Domain Adaptation and Few-Shot Learning (7 papers)Multimodal Machine Learning Applications (3 papers)Machine Learning and ELM (2 papers)
Journals
Nature Machine Intelligence2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)Proceedings of the ACM Web Conference 2022

In The Last Decade

Renzhe Xu

14 papers receiving 271 citations

Peers

Renzhe Xu
Comparison fields: 5 of 68
  • Artificial Intelligence 181
  • Computer Vision and Pattern Recognition 105
  • Signal Processing 19
  • Control and Systems Engineering 18
  • Media Technology 14
Replace Xingxuan Zhang with:
Xingxuan Zhang China
Linjun Zhou China
Dipti Deodhare India
Pascal Germain Canada
Maxinder S Kanwal Poland
Emmanuel Bengio Canada
Fei Zheng China
Biao Wang China
Tianlin Shi China
Renzhe Xu relative to Xingxuan Zhang China Xingxuan Zhang's profile →
Citations per field
00.5×1.5×
Xingxuan Zhang · 1×
Citations per year

Countries citing papers authored by Renzhe Xu

Since Specialization
Citations

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

Fields of papers citing papers by Renzhe Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Renzhe Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Renzhe Xu. A scholar is included among the top collaborators of Renzhe Xu 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 Renzhe Xu. Renzhe Xu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
#WorkIndexed citations
1 1
2 0
3 2
4 2
5 0
6 0
7 7
8 5
9 24
10 17
11 24
12 6
13 16
14 163
15 2
16 1
17 6

About Renzhe Xu

Renzhe Xu is a scholar working on Management Science and Operations Research, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 17 papers that have together received 276 indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (7 papers), Multimodal Machine Learning Applications (3 papers) and Machine Learning and ELM (2 papers). The work is most often cited by research in Artificial Intelligence (181 citations), Computer Vision and Pattern Recognition (105 citations) and Signal Processing (19 citations). Renzhe Xu has collaborated with scholars based in China, Switzerland and Hong Kong. Frequent co-authors include Xingxuan Zhang, Peng Cui, Zheyan Shen, Linjun Zhou, Yue He, Peng Cui, Yue He, Furui Liu, Yong Jiang and Yu Han. Their work appears in journals such as Nature Machine Intelligence, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and Proceedings of the ACM Web Conference 2022.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026