Tianyu Wo
- Computer Networks and Communications top 1%
- Information Systems top 0.5%
- Artificial Intelligence top 5%
- Transportation top 2%
- Signal Processing top 2%
- Co-authors
- Jinpeng HuaiChunming HuJianxin LiJie XuShuai MaRenyu YangYang CaoLi Qin
- Topics
- Cloud Computing and Resource Management (53 papers)Advanced Data Storage Technologies (21 papers)Caching and Content Delivery (21 papers)
- Journals
- IEEE Transactions on Intelligent Transportation SystemsIEEE Transactions on Industrial InformaticsIEEE Transactions on Knowledge and Data Engineering
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Tianyu Wo
101 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 72
- Computer Networks and Communications 1.1k
- Information Systems 840
- Artificial Intelligence 395
- Transportation 295
- Signal Processing 288
Countries citing papers authored by Tianyu Wo
This map shows the geographic impact of Tianyu Wo'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 Tianyu Wo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tianyu Wo more than expected).
Fields of papers citing papers by Tianyu Wo
This network shows the impact of papers produced by Tianyu Wo. 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 Tianyu Wo. The network helps show where Tianyu Wo may publish in the future.
Co-authorship network of co-authors of Tianyu Wo
This figure shows the co-authorship network connecting the top 25 collaborators of Tianyu Wo. A scholar is included among the top collaborators of Tianyu Wo 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 Tianyu Wo. Tianyu Wo 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 | 1 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 8 | |
| 6 | 0 | |
| 7 | 3 | |
| 8 | 1 | |
| 9 | 8 | |
| 10 | 1 | |
| 11 | 2 | |
| 12 | 2 | |
| 13 | 21 | |
| 14 | 9 | |
| 15 | 19 | |
| 16 | 0 | |
| 17 | SpanFS: a scalable file system on fast storage devices | 24 |
| 18 | 18 | |
| 19 | HotRestore: a fast restore system for virtual machine cluster | 11 |
| 20 | 17 |
About Tianyu Wo
Tianyu Wo is a scholar working on Computer Networks and Communications, Information Systems and Hardware and Architecture, having authored 111 papers that have together received 1.8k indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (53 papers), Advanced Data Storage Technologies (21 papers) and Caching and Content Delivery (21 papers). The work is most often cited by research in Computer Networks and Communications (1.1k citations), Transportation (295 citations) and Information Systems (840 citations). Tianyu Wo has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Jinpeng Huai, Chunming Hu, Jianxin Li, Jie Xu, Shuai Ma, Renyu Yang, Yang Cao, Li Qin, Yuandong Wang and Liang Zhong. Their work appears in journals such as IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Industrial Informatics and IEEE Transactions on Knowledge and Data Engineering.
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.