Yong Yan
- Computer Networks and Communications top 5%
- Hardware and Architecture top 5%
- Information Systems top 5%
- Electrical and Electronic Engineering
- Artificial Intelligence
- Co-authors
- Shaoyong GuoXuesong QiuXiaodong ZhangZhenzhi LinXu Dong ZhangXiao‐Dong ZhangYi DingLei Sun
- Topics
- Parallel Computing and Optimization Techniques (18 papers)Advanced Data Storage Technologies (14 papers)Distributed and Parallel Computing Systems (11 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Yong Yan
44 papers receiving 561 citations
Peers
Comparison fields: 5 of 57
- Computer Networks and Communications 354
- Hardware and Architecture 227
- Information Systems 195
- Electrical and Electronic Engineering 171
- Artificial Intelligence 91
Countries citing papers authored by Yong Yan
This map shows the geographic impact of Yong Yan'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 Yong Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yong Yan more than expected).
Fields of papers citing papers by Yong Yan
This network shows the impact of papers produced by Yong Yan. 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 Yong Yan. The network helps show where Yong Yan may publish in the future.
Co-authorship network of co-authors of Yong Yan
This figure shows the co-authorship network connecting the top 25 collaborators of Yong Yan. A scholar is included among the top collaborators of Yong Yan 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 Yong Yan. Yong Yan 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 | 3 | |
| 4 | 8 | |
| 5 | 34 | |
| 6 | 33 | |
| 7 | 22 | |
| 8 | 3 | |
| 9 | 36 | |
| 10 | 18 | |
| 11 | 74 | |
| 12 | Designing of distribution networks with distributed generation based on optimum combination weighting method | 0 |
| 13 | 5 | |
| 14 | Buffer Sharing for Proxy Caching of Streaming Sessions. | 1 |
| 15 | 0 | |
| 16 | 2 | |
| 17 | A memory-layout oriented run-time technique for locality optimization | 4 |
| 18 | 6 | |
| 19 | A Framework of Performance Prediction of Parallel Computing on Nondedicated Heterogeneous NOW. | 7 |
| 20 | 3 |
About Yong Yan
Yong Yan is a scholar working on Hardware and Architecture, Computer Networks and Communications and Information Systems, having authored 53 papers that have together received 605 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (18 papers), Advanced Data Storage Technologies (14 papers) and Distributed and Parallel Computing Systems (11 papers). The work is most often cited by research in Hardware and Architecture (227 citations), Computer Networks and Communications (354 citations) and Information Systems (195 citations). Yong Yan has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Shaoyong Guo, Xuesong Qiu, Xiaodong Zhang, Xiaodong Zhang, Xiaodong Zhang, Zhenzhi Lin, Xu Dong Zhang, Xiao‐Dong Zhang, Yi Ding and Lei Sun. Their work appears in journals such as IEEE Transactions on Power Systems, Sensors and IEEE Transactions on Smart Grid.
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.