Kaizhao Liang

476 citations
4 papers · 49 indexed · h-index 3
Topics
Advanced Neural Network Applications (3 papers)Anomaly Detection Techniques and Applications (2 papers)Domain Adaptation and Few-Shot Learning (2 papers)
Journals
arXiv (Cornell University)

In The Last Decade

Kaizhao Liang

4 papers receiving 45 citations

Peers

Kaizhao Liang
Comparison fields: 5 of 18
  • Artificial Intelligence 35
  • Computer Vision and Pattern Recognition 24
  • Signal Processing 7
  • Automotive Engineering 6
  • Building and Construction 4
Replace Daniel Oñoro-Rubio with:
Daniel Oñoro-Rubio Spain
Hansheng Ren China
Yisong Xiao China
Zhuo Xu United States
Mohammad Mahdi Arzani Iran
Joakim Johnander Sweden
Grace Chu United States
Wilka Carvalho United States
Bo-Hsiang Tseng United Kingdom
Deyao Zhu Saudi Arabia
Kaizhao Liang relative to Daniel Oñoro-Rubio Spain Daniel Oñoro-Rubio's profile →
Citations per field
00.5×8.5×
Daniel Oñoro-Rubio · 1×
Citations per year

Countries citing papers authored by Kaizhao Liang

Since Specialization
Citations

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

Fields of papers citing papers by Kaizhao Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaizhao Liang

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

All Works

4 of 4 papers shown
#WorkIndexed citations
1 16
2 1
3
Big but Imperceptible Adversarial Perturbations via Semantic Manipulation.
8
4 24

About Kaizhao Liang

Kaizhao Liang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Infectious Diseases, having authored 4 papers that have together received 49 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (3 papers), Anomaly Detection Techniques and Applications (2 papers) and Domain Adaptation and Few-Shot Learning (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (24 citations), Artificial Intelligence (35 citations) and Signal Processing (7 citations). Kaizhao Liang has collaborated with scholars based in United States, Indonesia and Jamaica. Frequent co-authors include David Forsyth, Min Jin Chong, Bo Li, Bo Li, Xu Cao, Yunsheng Ma, Ziran Wang, Wenqian Ye, Tang Kun and James M. Rehg. Their work appears in journals such as arXiv (Cornell University).

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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