Xiaoyan Sun
- Artificial Intelligence top 5%
- Electrical and Electronic Engineering
- Computer Networks and Communications top 10%
- Computer Science Applications top 5%
- Cognitive Neuroscience
- Co-authors
- Yaochu JinYang ChenSana SalousYang LiuJürgen KurthsHao WuYongting ZhangZhiwei Xiong
- Topics
- Laser Material Processing Techniques (3 papers)Neural dynamics and brain function (2 papers)Metaheuristic Optimization Algorithms Research (2 papers)
- Journals
- IEEE Transactions on Neural Networks and Learning SystemsIEEE Geoscience and Remote Sensing LettersNonlinear Dynamics
- Partner nations
- ChinaUnited KingdomSingapore
In The Last Decade
Xiaoyan Sun
12 papers receiving 542 citations
Hit Papers
Peers
Comparison fields: 5 of 72
- Artificial Intelligence 383
- Electrical and Electronic Engineering 132
- Computer Networks and Communications 115
- Computer Science Applications 63
- Cognitive Neuroscience 58
Countries citing papers authored by Xiaoyan Sun
This map shows the geographic impact of Xiaoyan Sun'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 Xiaoyan Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoyan Sun more than expected).
Fields of papers citing papers by Xiaoyan Sun
This network shows the impact of papers produced by Xiaoyan Sun. 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 Xiaoyan Sun. The network helps show where Xiaoyan Sun may publish in the future.
Co-authorship network of co-authors of Xiaoyan Sun
This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoyan Sun. A scholar is included among the top collaborators of Xiaoyan Sun 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 Xiaoyan Sun. Xiaoyan Sun 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 | 2 | |
| 3 | 0 | |
| 4 | 37 | |
| 5 | Communication-Efficient Federated Deep Learning With Layerwise Asynchronous Model Update and Temporally Weighted Aggregationbreakdown → | 405 |
| 6 | 32 | |
| 7 | 7 | |
| 8 | 13 | |
| 9 | 33 | |
| 10 | 3 | |
| 11 | 10 | |
| 12 | 8 | |
| 13 | 2 | |
| 14 | 4 |
About Xiaoyan Sun
Xiaoyan Sun is a scholar working on Control and Systems Engineering, Computational Mechanics and Artificial Intelligence, having authored 14 papers that have together received 556 indexed citations. Recurring topics across this work include Laser Material Processing Techniques (3 papers), Neural dynamics and brain function (2 papers) and Metaheuristic Optimization Algorithms Research (2 papers). The work is most often cited by research in Artificial Intelligence (383 citations), Computer Science Applications (63 citations) and Computer Networks and Communications (115 citations). Xiaoyan Sun has collaborated with scholars based in China, United Kingdom and Singapore. Frequent co-authors include Yaochu Jin, Yang Chen, Sana Salous, Yang Liu, Jürgen Kurths, Hao Wu, Yongting Zhang, Zhiwei Xiong, Zheng-Jun Zha and Feng Wu. Their work appears in journals such as IEEE Transactions on Neural Networks and Learning Systems, IEEE Geoscience and Remote Sensing Letters and Nonlinear Dynamics.
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.