Zhenhua Guo
- Computer Vision and Pattern Recognition top 0.2%
- Signal Processing top 0.2%
- Information Systems top 1%
- Artificial Intelligence top 5%
- Media Technology top 0.5%
- Topics
- Biometric Identification and Security (53 papers)Face and Expression Recognition (33 papers)Face recognition and analysis (26 papers)
- Journals
- PLoS ONEIEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Image Processing
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Zhenhua Guo
152 papers receiving 3.9k citations
Hit Papers
Peers
Comparison fields: 5 of 146
- Computer Vision and Pattern Recognition 2.7k
- Signal Processing 1.6k
- Information Systems 568
- Artificial Intelligence 473
- Media Technology 453
Countries citing papers authored by Zhenhua Guo
This map shows the geographic impact of Zhenhua Guo'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 Zhenhua Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhenhua Guo more than expected).
Fields of papers citing papers by Zhenhua Guo
This network shows the impact of papers produced by Zhenhua Guo. 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 Zhenhua Guo. The network helps show where Zhenhua Guo may publish in the future.
Co-authorship network of co-authors of Zhenhua Guo
This figure shows the co-authorship network connecting the top 25 collaborators of Zhenhua Guo. A scholar is included among the top collaborators of Zhenhua Guo 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 Zhenhua Guo. Zhenhua Guo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 3 | |
| 7 | 3 | |
| 8 | 44 | |
| 9 | 5 | |
| 10 | 33 | |
| 11 | 2 | |
| 12 | 48 | |
| 13 | 9 | |
| 14 | 9 | |
| 15 | 38 | |
| 16 | 104 | |
| 17 | 4 | |
| 18 | 88 | |
| 19 | Dynamic Detection and Recognition System Based on the Segmental Average Differentiation | 6 |
| 20 | Principal Independent Component Network for Dimensionality Reduction and Blind Source Separation | 1 |
About Zhenhua Guo
Zhenhua Guo is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Media Technology, having authored 164 papers that have together received 4.1k indexed citations. Recurring topics across this work include Biometric Identification and Security (53 papers), Face and Expression Recognition (33 papers) and Face recognition and analysis (26 papers). The work is most often cited by research in Signal Processing (1.6k citations), Computer Vision and Pattern Recognition (2.7k citations) and Media Technology (453 citations). Zhenhua Guo has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include David Zhang, Lei Zhang, Wangmeng Zuo, Guangming Lu, Jane You, Xiaoshuang Shi, Mo Zhou, Geoffrey Fox, Xiu Li and Lin Zhang. Their work appears in journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Image Processing.
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.