Guibo Zhu

1.0k citations
33 papers · 551 indexed · 1 hit paper · h-index 13

Guibo Zhu

31 papers receiving 539 citations

Hit Papers

AnomalyGPT: Detecting Industrial Anomalies Using Large Vi...73202420262025204060

Peers

Guibo Zhu
Comparison fields: 5 of 63
  • Computer Vision and Pattern Recognition 399
  • Safety, Risk, Reliability and Quality 63
  • Artificial Intelligence 157
  • Media Technology 42
  • Aerospace Engineering 64
Replace Dongdong Li with:
Dongdong Li China
Jiarui Xu China
Weijian Ruan China
Renshu Gu China
Ke Nai China
Martin Godec Austria
Juan C. SanMiguel Spain
Kimin Yun South Korea
Hong-Xing Yu China
Guibo Zhu relative to Dongdong Li China Dongdong Li's profile →
Citations per field
00.5×7.3×
Dongdong Li · 1×
Citations per year

Countries citing papers authored by Guibo Zhu

Since Specialization
Citations

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

Fields of papers citing papers by Guibo Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20255
2 20252
3 20250
4 20241
5 202411
6 20243
7 20241
8
AnomalyGPT: Detecting Industrial Anomalies Using Large Vision-Language Modelsbreakdown →
202473
9 20231
10 202218
11 2021101
12 202183
13 20212
14 20181
15 201713
16 201622
17 20166
18 201630
19 201415
20 20141

About Guibo Zhu

Guibo Zhu is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Safety, Risk, Reliability and Quality, having authored 33 papers that have together received 551 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (15 papers), Advanced Image and Video Retrieval Techniques (7 papers), Human Pose and Action Recognition (6 papers), Image Enhancement Techniques (6 papers), Anomaly Detection Techniques and Applications (5 papers), Impact of Light on Environment and Health (4 papers), Image Retrieval and Classification Techniques (4 papers) and Generative Adversarial Networks and Image Synthesis (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (399 citations), Safety, Risk, Reliability and Quality (63 citations) and Artificial Intelligence (157 citations). Guibo Zhu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Jinqiao Wang, Hanqing Lu, Ming Tang, Yingying Chen, Linyu Zheng, Yi Wu, Hanqing Lu, Bingke Zhu, Chunjie Zhang and Xuetao Feng. Their work appears in journals such as IEEE Transactions on Image Processing, IEEE Transactions on Medical Imaging and Sensors.

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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