Yishuai Chen
- Computer Networks and Communications top 10%
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Sociology and Political Science
- Information Systems top 10%
- Co-authors
- Yuchun GuoBaoxian ZhangWei ZhuChangjia ChenYong LiuHuan SunDah Ming ChiuZhe Zhang
- Topics
- Caching and Content Delivery (21 papers)Peer-to-Peer Network Technologies (18 papers)Recommender Systems and Techniques (11 papers)
- Cited by
- Computer Networks and CommunicationsComputer Vision and Pattern RecognitionComputer Science Applications
- Journals
- IEEE Journal on Selected Areas in CommunicationsIEEE/ACM Transactions on NetworkingApplied Sciences
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Yishuai Chen
55 papers receiving 306 citations
Peers
Comparison fields: 5 of 53
- Computer Networks and Communications 159
- Computer Vision and Pattern Recognition 111
- Artificial Intelligence 73
- Sociology and Political Science 62
- Information Systems 53
Countries citing papers authored by Yishuai Chen
This map shows the geographic impact of Yishuai Chen'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 Yishuai Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yishuai Chen more than expected).
Fields of papers citing papers by Yishuai Chen
This network shows the impact of papers produced by Yishuai Chen. 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 Yishuai Chen. The network helps show where Yishuai Chen may publish in the future.
Co-authorship network of co-authors of Yishuai Chen
This figure shows the co-authorship network connecting the top 25 collaborators of Yishuai Chen. A scholar is included among the top collaborators of Yishuai Chen 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 Yishuai Chen. Yishuai Chen 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 | 2 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 3 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | Concept-Aware Deep Knowledge Tracing and Exercise Recommendation in an Online Learning System. | 23 |
| 12 | 3 | |
| 13 | 4 | |
| 14 | Measuring and predicting quality of experience of DASH-based video streaming over LTE | 5 |
| 15 | 6 | |
| 16 | 4 | |
| 17 | 11 | |
| 18 | 2 | |
| 19 | 2 | |
| 20 | 0 |
About Yishuai Chen
Yishuai Chen is a scholar working on Computer Networks and Communications, Information Systems and Statistical and Nonlinear Physics, having authored 62 papers that have together received 313 indexed citations. Recurring topics across this work include Caching and Content Delivery (21 papers), Peer-to-Peer Network Technologies (18 papers) and Recommender Systems and Techniques (11 papers). The work is most often cited by research in Computer Networks and Communications (159 citations), Computer Vision and Pattern Recognition (111 citations) and Computer Science Applications (25 citations). Yishuai Chen has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Yuchun Guo, Baoxian Zhang, Wei Zhu, Changjia Chen, Yong Liu, Huan Sun, Dah Ming Chiu, Zhe Zhang, Yong Liu and Zhenzhu Wang. Their work appears in journals such as IEEE Journal on Selected Areas in Communications, IEEE/ACM Transactions on Networking and Applied 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.