Guangzhen Liu

503 citations
15 papers · 202 indexed · 1 hit paper · h-index 6

Guangzhen Liu

12 papers receiving 192 citations

Hit Papers

A survey on dataset quality in machine learning12020232026202420254080120

Peers

Guangzhen Liu
Comparison fields: 5 of 83
  • Health Informatics 4
  • Computer Vision and Pattern Recognition 58
  • Automotive Engineering 21
  • Software 6
  • Artificial Intelligence 50
Replace Saidul Islam with:
Saidul Islam Canada
Jan Hůla Czechia
P. Sivakumar India
Arvind R. Yadav India
Muhammad Ibrahim Khalil Pakistan
Arvind Chakrapani India
Miloš Dobrojević Serbia
K. Suganthi India
Sekar Kidambi Raju India
Guangzhen Liu relative to Saidul Islam Canada Saidul Islam's profile →
Citations per field
00.5×10×14.5×
Saidul Islam · 1×
Citations per year

Countries citing papers authored by Guangzhen Liu

Since Specialization
Citations

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

Fields of papers citing papers by Guangzhen Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

15 of 15 papers shown
#Work
1 20250
2 202410
3 20236
4
A survey on dataset quality in machine learningbreakdown →
2023120
5 20234
6 20226
7 202135
8 20210
9 20214
10 20200
11 20201
12 20203
13 20195
14 20184
15 20174

About Guangzhen Liu

Guangzhen Liu is a scholar working on Automotive Engineering, Software and Computer Vision and Pattern Recognition, having authored 15 papers that have together received 202 indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (3 papers), Autonomous Vehicle Technology and Safety (2 papers), Advanced Battery Technologies Research (2 papers), Advanced Computational Techniques and Applications (2 papers), Advanced Image and Video Retrieval Techniques (2 papers), Domain Adaptation and Few-Shot Learning (2 papers), Big Data and Business Intelligence (1 paper) and Quantum Dots Synthesis And Properties (1 paper). The work is most often cited by research in Health Informatics (4 citations), Computer Vision and Pattern Recognition (58 citations) and Automotive Engineering (21 citations). Guangzhen Liu has collaborated with scholars based in China, Sweden and United Kingdom. Frequent co-authors include Yunzhi Xue, Rui Li, Zhiwu Lu, Nanyi Fei, Guoxing Yang, Mingyu Ding, Tao Xiang, He Chen, Weitao Zheng and Xueyuan Chen. Their work appears in journals such as Coordination Chemistry Reviews, IEEE Access and Molecular Immunology.

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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