Song Wu
- Computer Networks and Communications top 0.5%
- Information Systems top 0.5%
- Electrical and Electronic Engineering top 10%
- Hardware and Architecture top 2%
- Artificial Intelligence top 5%
- Co-authors
- Hai JinXuanhua ShiLi DengXiaodong PanShadi IbrahimLu LuBingsheng HeSheng Di
- Topics
- Cloud Computing and Resource Management (95 papers)Distributed and Parallel Computing Systems (56 papers)Advanced Data Storage Technologies (52 papers)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Song Wu
163 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 79
- Computer Networks and Communications 1.5k
- Information Systems 1.2k
- Electrical and Electronic Engineering 341
- Hardware and Architecture 258
- Artificial Intelligence 206
Countries citing papers authored by Song Wu
This map shows the geographic impact of Song Wu'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 Song Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Song Wu more than expected).
Fields of papers citing papers by Song Wu
This network shows the impact of papers produced by Song Wu. 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 Song Wu. The network helps show where Song Wu may publish in the future.
Co-authorship network of co-authors of Song Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Song Wu. A scholar is included among the top collaborators of Song Wu 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 Song Wu. Song Wu 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 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | StreamBox: A Lightweight GPU SandBox for Serverless Inference Workflow | 0 |
| 7 | 0 | |
| 8 | 4 | |
| 9 | 3 | |
| 10 | 2 | |
| 11 | 4 | |
| 12 | 19 | |
| 13 | 21 | |
| 14 | 27 | |
| 15 | 1 | |
| 16 | 23 | |
| 17 | 38 | |
| 18 | 3 | |
| 19 | 85 | |
| 20 | 3 |
About Song Wu
Song Wu is a scholar working on Hardware and Architecture, Computer Networks and Communications and Information Systems, having authored 182 papers that have together received 2.1k indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (95 papers), Distributed and Parallel Computing Systems (56 papers) and Advanced Data Storage Technologies (52 papers). The work is most often cited by research in Computer Networks and Communications (1.5k citations), Information Systems (1.2k citations) and Hardware and Architecture (258 citations). Song Wu has collaborated with scholars based in China, United States and France. Frequent co-authors include Hai Jin, Xuanhua Shi, Li Deng, Xiaodong Pan, Shadi Ibrahim, Lu Lu, Bingsheng He, Sheng Di, Xinhou Wang and Xiaoxin Wu. Their work appears in journals such as Journal of Applied Physics, Nature Cell Biology and Journal of Power Sources.
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.