Yuanqin He
- Artificial Intelligence top 5%
- Computer Networks and Communications
- Information Systems
- Sociology and Political Science
- Electrical and Electronic Engineering
- Co-authors
- Qiang YangYang LiuYan KangYa-Qin ZhangYanhong PuXiaozhou YeYe OuyangJiahuan Luo
- Topics
- Privacy-Preserving Technologies in Data (7 papers)Stochastic Gradient Optimization Techniques (2 papers)Adversarial Robustness in Machine Learning (2 papers)
In The Last Decade
Yuanqin He
7 papers receiving 255 citations
Hit Papers
Peers
Comparison fields: 5 of 44
- Artificial Intelligence 218
- Computer Networks and Communications 38
- Information Systems 29
- Sociology and Political Science 21
- Electrical and Electronic Engineering 21
Countries citing papers authored by Yuanqin He
This map shows the geographic impact of Yuanqin He'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 Yuanqin He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuanqin He more than expected).
Fields of papers citing papers by Yuanqin He
This network shows the impact of papers produced by Yuanqin He. 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 Yuanqin He. The network helps show where Yuanqin He may publish in the future.
Co-authorship network of co-authors of Yuanqin He
This figure shows the co-authorship network connecting the top 25 collaborators of Yuanqin He. A scholar is included among the top collaborators of Yuanqin He 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 Yuanqin He. Yuanqin He is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 6 | |
| 3 | 8 | |
| 4 | Vertical Federated Learning: Concepts, Advances, and Challengesbreakdown → | 138 |
| 5 | 45 | |
| 6 | 34 | |
| 7 | 24 |
About Yuanqin He
Yuanqin He is a scholar working on Artificial Intelligence, Safety Research and Information Systems, having authored 7 papers that have together received 258 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (7 papers), Stochastic Gradient Optimization Techniques (2 papers) and Adversarial Robustness in Machine Learning (2 papers). The work is most often cited by research in Artificial Intelligence (218 citations), Health Informatics (8 citations) and Computer Networks and Communications (38 citations). Yuanqin He has collaborated with scholars based in China and Hong Kong. Frequent co-authors include Qiang Yang, Yang Liu, Yan Kang, Ya-Qin Zhang, Yanhong Pu, Xiaozhou Ye, Ye Ouyang, Yan Kang, Jiahuan Luo and Lixin Fan. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, ACM Transactions on Intelligent Systems and Technology and IEEE Transactions on Big Data.
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.