Kaiyang Zhou

9.6k citations
33 papers · 4.4k indexed · 6 hit papers · h-index 19

Kaiyang Zhou

28 papers receiving 4.3k citations

Hit Papers

Generalized Out-of-D...14920182026202020234008001.2k

Peers

Kaiyang Zhou
Comparison fields: 5 of 138
  • Computer Vision and Pattern Recognition 2.9k
  • Artificial Intelligence 2.1k
  • Signal Processing 374
  • Media Technology 211
  • Health Informatics 20
Replace Ishan Misra with:
Ishan Misra United States
Boqing Gong United States
Hugo Touvron France
Yang Cong China
Kelvin Xu United States
Kihyuk Sohn United States
Jorge S. Marques Portugal
Zhiding Yu United States
Radu Tudor Ionescu Romania
Jérôme Louradour France
Kaiyang Zhou relative to Ishan Misra United States Ishan Misra's profile →
Citations per field
00.5×1.7×
Ishan Misra · 1×
Citations per year

Countries citing papers authored by Kaiyang Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Kaiyang Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Kaiyang Zhou, 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 Kaiyang Zhou Line = papers co-authored together Kaiyang Zhou links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20246
3 202433
4
Generalized Out-of-Distribution Detection: A Surveybreakdown →
2024149
5 20240
6 202319
7 202322
8 202318
9 202311
10
Conditional Prompt Learning for Vision-Language Modelsbreakdown →
2022742
11 20224
12
Domain Generalization: A Surveybreakdown →
2022662
13 20220
14 20225
15 20210
16 20213
17 202128
18 20201
19
Omni-Scale Feature Learning for Person Re-Identificationbreakdown →
2019581
20 201718

About Kaiyang Zhou

Kaiyang Zhou is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Civil and Structural Engineering, Signal Processing and Mechanics of Materials, having authored 33 papers that have together received 4.4k indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (11 papers), Multimodal Machine Learning Applications (8 papers), Human Pose and Action Recognition (6 papers), Structural Health Monitoring Techniques (4 papers), Advanced Image and Video Retrieval Techniques (4 papers), Anomaly Detection Techniques and Applications (4 papers), Advancements in Battery Materials (3 papers) and Advanced Neural Network Applications (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.9k citations), Artificial Intelligence (2.1k citations), Signal Processing (374 citations), Media Technology (211 citations) and Health Informatics (20 citations). Kaiyang Zhou has collaborated with scholars based in China, Singapore and United Kingdom. Frequent co-authors include Ziwei Liu, Chen Change Loy, Jingkang Yang, Tao Xiang, Yu Qiao, Andrea Cavallaro, Yongxin Yang, Yongxin Yang, Timothy M. Hospedales and Yixuan Li. Their work appears in journals such as International Journal of Computer Vision, IEEE Transactions on Pattern Analysis and Machine Intelligence, Construction and Building Materials, IEEE Transactions on Image Processing and Frontiers of Structural and Civil Engineering.

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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