Renrui Zhang

2.4k citations
18 papers · 732 indexed · 2 hit papers · h-index 10
Topics
Domain Adaptation and Few-Shot Learning (4 papers)3D Shape Modeling and Analysis (4 papers)Human Pose and Action Recognition (3 papers)

In The Last Decade

Renrui Zhang

16 papers receiving 720 citations

Hit Papers

CLIP-Adapter: Better Vision-Language Models with Feature ...202320262024202520232024100200300400

Peers

Renrui Zhang
Comparison fields: 5 of 85
  • Computer Vision and Pattern Recognition 453
  • Artificial Intelligence 312
  • Computational Mechanics 92
  • Geology 59
  • Radiology, Nuclear Medicine and Imaging 50
Replace Thanh-Toan Do with:
Thanh-Toan Do Australia
Yunhang Shen China
Holger Caesar Netherlands
Linjun Sun China
Vijay Badrinarayanan United Kingdom
Rohit Girdhar United States
Hehe Fan China
Yunyang Xiong United States
Ayan Kumar Bhunia United Kingdom
Spyros Gidaris France
Renrui Zhang relative to Thanh-Toan Do Australia Thanh-Toan Do's profile →
Citations per field
00.5×3.2×
Thanh-Toan Do · 1×
Citations per year

Countries citing papers authored by Renrui Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Renrui Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Renrui Zhang

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

All Works

18 of 18 papers shown
#WorkIndexed citations
1 0
2 7
3 9
4
OneTracker: Unifying Visual Object Tracking with Foundation Models and Efficient Tuningbreakdown →
46
5 19
6 0
7 46
8
CLIP-Adapter: Better Vision-Language Models with Feature Adaptersbreakdown →
402
9 10
10 13
11 9
12 68
13 46
14 2
15 10
16 36
17 5
18 4

About Renrui Zhang

Renrui Zhang is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Geology, having authored 18 papers that have together received 732 indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (4 papers), 3D Shape Modeling and Analysis (4 papers) and Human Pose and Action Recognition (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (453 citations), Geology (59 citations) and Artificial Intelligence (312 citations). Renrui Zhang has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Hongsheng Li, Yu Qiao, Peng Gao, Rongyao Fang, Yongfeng Zhang, Teli Ma, Shijie Geng, Liuhui Wang, Peng Gao and Yu Qiao. Their work appears in journals such as International Journal of Computer Vision, Signal Processing Image Communication and Journal of Nondestructive Evaluation.

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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