Zonghai Zhu
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Electrical and Electronic Engineering
- Biomedical Engineering
- Control and Systems Engineering
- Topics
- Imbalanced Data Classification Techniques (9 papers)Face and Expression Recognition (6 papers)Machine Learning and Data Classification (5 papers)
- Cited by
- Artificial IntelligenceComputer Vision and Pattern RecognitionHealth Information Management
- Partner nations
- ChinaUnited Kingdom
In The Last Decade
Zonghai Zhu
17 papers receiving 557 citations
Hit Papers
Peers
Comparison fields: 5 of 92
- Artificial Intelligence 308
- Computer Vision and Pattern Recognition 169
- Electrical and Electronic Engineering 69
- Biomedical Engineering 43
- Control and Systems Engineering 41
Countries citing papers authored by Zonghai Zhu
This map shows the geographic impact of Zonghai 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 Zonghai Zhu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zonghai Zhu more than expected).
Fields of papers citing papers by Zonghai Zhu
This network shows the impact of papers produced by Zonghai 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 Zonghai Zhu. The network helps show where Zonghai Zhu may publish in the future.
Co-authorship network of co-authors of Zonghai Zhu
This figure shows the co-authorship network connecting the top 25 collaborators of Zonghai Zhu. A scholar is included among the top collaborators of Zonghai 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 Zonghai Zhu. Zonghai 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 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | CapMatch: Semi-Supervised Contrastive Transformer Capsule With Feature-Based Knowledge Distillation for Human Activity Recognitionbreakdown → | 99 |
| 5 | Deep Contrastive Representation Learning With Self-Distillationbreakdown → | 105 |
| 6 | 0 | |
| 7 | 15 | |
| 8 | An Efficient Federated Distillation Learning System for Multitask Time Series Classificationbreakdown → | 124 |
| 9 | 7 | |
| 10 | 9 | |
| 11 | 2 | |
| 12 | 10 | |
| 13 | 20 | |
| 14 | 3 | |
| 15 | 13 | |
| 16 | 1 | |
| 17 | 34 | |
| 18 | 8 | |
| 19 | 105 | |
| 20 | 2 |
About Zonghai Zhu
Zonghai Zhu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics, having authored 21 papers that have together received 570 indexed citations. Recurring topics across this work include Imbalanced Data Classification Techniques (9 papers), Face and Expression Recognition (6 papers) and Machine Learning and Data Classification (5 papers). The work is most often cited by research in Artificial Intelligence (308 citations), Computer Vision and Pattern Recognition (169 citations) and Health Information Management (27 citations). Zonghai Zhu has collaborated with scholars based in China and United Kingdom. Frequent co-authors include Huanlai Xing, Rong Qu, Dongdong Li, Zhiwen Xiao, Zhe Wang, Wenli Du, Bowen Zhao, Shouxi Luo, Yujin Zhu and Ke Li. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, Pattern Recognition and Information Sciences.
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.