Erlin Yao
- Computer Networks and Communications top 10%
- Neurology top 10%
- Artificial Intelligence
- Information Systems top 10%
- Hardware and Architecture top 10%
- Co-authors
- Hai ZhugeXiaoping SunChen XueJie LiuGuangming TanYuan MaZhiyuan WuXiuhua Guo
- Topics
- Distributed systems and fault tolerance (5 papers)Distributed and Parallel Computing Systems (4 papers)Parallel Computing and Optimization Techniques (4 papers)
- Journals
- IEEE Transactions on Knowledge and Data EngineeringFuture Generation Computer SystemsIEEE Transactions on Parallel and Distributed Systems
- Partner nations
- ChinaUnited States
In The Last Decade
Erlin Yao
18 papers receiving 292 citations
Peers
Comparison fields: 5 of 57
- Computer Networks and Communications 137
- Neurology 78
- Artificial Intelligence 71
- Information Systems 49
- Hardware and Architecture 49
Countries citing papers authored by Erlin Yao
This map shows the geographic impact of Erlin Yao'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 Erlin Yao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Erlin Yao more than expected).
Fields of papers citing papers by Erlin Yao
This network shows the impact of papers produced by Erlin Yao. 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 Erlin Yao. The network helps show where Erlin Yao may publish in the future.
Co-authorship network of co-authors of Erlin Yao
This figure shows the co-authorship network connecting the top 25 collaborators of Erlin Yao. A scholar is included among the top collaborators of Erlin Yao 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 Erlin Yao. Erlin Yao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 5 | |
| 4 | 116 | |
| 5 | 6 | |
| 6 | 5 | |
| 7 | 9 | |
| 8 | 2 | |
| 9 | 8 | |
| 10 | 2 | |
| 11 | 5 | |
| 12 | 14 | |
| 13 | 23 | |
| 14 | 17 | |
| 15 | 2 | |
| 16 | 67 | |
| 17 | 2 | |
| 18 | 12 | |
| 19 | ANN based transformer fault diagnosis using gas-in-oil analysis | 14 |
About Erlin Yao
Erlin Yao is a scholar working on Hardware and Architecture, Computer Networks and Communications and Conservation, having authored 19 papers that have together received 310 indexed citations. Recurring topics across this work include Distributed systems and fault tolerance (5 papers), Distributed and Parallel Computing Systems (4 papers) and Parallel Computing and Optimization Techniques (4 papers). The work is most often cited by research in Neurology (78 citations), Hardware and Architecture (49 citations) and Computer Networks and Communications (137 citations). Erlin Yao has collaborated with scholars based in China and United States. Frequent co-authors include Hai Zhuge, Xiaoping Sun, Chen Xue, Jie Liu, Guangming Tan, Yuan Ma, Zhiyuan Wu, Xiuhua Guo, Feng Zhang and Nicholas Van Halm‐Lutterodt. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, Future Generation Computer Systems and IEEE Transactions on Parallel and Distributed Systems.
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.