Bingke Zhu
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Industrial and Manufacturing Engineering
- Media Technology
- Civil and Structural Engineering
- Co-authors
- Jinqiao WangMing TangYingying ChenHanqing LuGuibo ZhuBo ZhangSi LiuLei Li
- Topics
- Anomaly Detection Techniques and Applications (6 papers)Multimodal Machine Learning Applications (4 papers)Advanced Neural Network Applications (4 papers)
- Journals
- NeurocomputingIEEE Transactions on Circuits and Systems for Video TechnologyIEEE Transactions on Instrumentation and Measurement
- Partner nations
- China
In The Last Decade
Bingke Zhu
14 papers receiving 315 citations
Hit Papers
Peers
Comparison fields: 5 of 46
- Computer Vision and Pattern Recognition 218
- Artificial Intelligence 114
- Industrial and Manufacturing Engineering 27
- Media Technology 21
- Civil and Structural Engineering 18
Countries citing papers authored by Bingke Zhu
This map shows the geographic impact of Bingke 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 Bingke Zhu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bingke Zhu more than expected).
Fields of papers citing papers by Bingke Zhu
This network shows the impact of papers produced by Bingke 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 Bingke Zhu. The network helps show where Bingke Zhu may publish in the future.
Co-authorship network of co-authors of Bingke Zhu
This figure shows the co-authorship network connecting the top 25 collaborators of Bingke Zhu. A scholar is included among the top collaborators of Bingke Zhu 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 Bingke Zhu. Bingke Zhu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 11 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | AnomalyGPT: Detecting Industrial Anomalies Using Large Vision-Language Modelsbreakdown → | 73 |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 13 | |
| 9 | 12 | |
| 10 | 44 | |
| 11 | 33 | |
| 12 | 3 | |
| 13 | 86 | |
| 14 | 37 |
About Bingke Zhu
Bingke Zhu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiation, having authored 14 papers that have together received 320 indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (6 papers), Multimodal Machine Learning Applications (4 papers) and Advanced Neural Network Applications (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (218 citations), Artificial Intelligence (114 citations) and Computational Mathematics (2 citations). Bingke Zhu has collaborated with scholars based in China. Frequent co-authors include Jinqiao Wang, Ming Tang, Yingying Chen, Hanqing Lu, Guibo Zhu, Bo Zhang, Si Liu, Lei Li, Xu Zhao and Wenchao Ding. Their work appears in journals such as Neurocomputing, IEEE Transactions on Circuits and Systems for Video Technology and IEEE Transactions on Instrumentation and Measurement.
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.