Shanshan Wu
- Information Systems top 5%
- Software top 2%
- Computer Networks and Communications top 10%
- Artificial Intelligence
- Electrical and Electronic Engineering
- Co-authors
- Xiao‐Yuan JingJin LiuZhiwu ZhangShi YingXudong WangWenguang MaoAlexandros G. DimakisRuimin Hu
- Topics
- Data Management and Algorithms (4 papers)Cooperative Communication and Network Coding (4 papers)Face and Expression Recognition (3 papers)
- Journals
- Expert Systems with ApplicationsInformation SciencesIEEE Transactions on Wireless Communications
- Partner nations
- ChinaUnited StatesMacao
In The Last Decade
Shanshan Wu
33 papers receiving 385 citations
Peers
Comparison fields: 5 of 77
- Information Systems 185
- Software 159
- Computer Networks and Communications 123
- Artificial Intelligence 78
- Electrical and Electronic Engineering 51
Countries citing papers authored by Shanshan Wu
This map shows the geographic impact of Shanshan 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 Shanshan Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shanshan Wu more than expected).
Fields of papers citing papers by Shanshan Wu
This network shows the impact of papers produced by Shanshan 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 Shanshan Wu. The network helps show where Shanshan Wu may publish in the future.
Co-authorship network of co-authors of Shanshan Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Shanshan Wu. A scholar is included among the top collaborators of Shanshan 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 Shanshan Wu. Shanshan 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 | 3 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 8 | |
| 6 | Sparse Logistic Regression Learns All Discrete Pairwise Graphical Models | 5 |
| 7 | 2 | |
| 8 | The Sparse Recovery Autoencoder. | 3 |
| 9 | 8 | |
| 10 | 3 | |
| 11 | 6 | |
| 12 | 1 | |
| 13 | 3 | |
| 14 | 8 | |
| 15 | 5 | |
| 16 | 7 | |
| 17 | 16 | |
| 18 | 9 | |
| 19 | 3 | |
| 20 | 4 |
About Shanshan Wu
Shanshan Wu is a scholar working on Signal Processing, Computer Networks and Communications and Transplantation, having authored 36 papers that have together received 395 indexed citations. Recurring topics across this work include Data Management and Algorithms (4 papers), Cooperative Communication and Network Coding (4 papers) and Face and Expression Recognition (3 papers). The work is most often cited by research in Software (159 citations), Information Systems (185 citations) and Computer Networks and Communications (123 citations). Shanshan Wu has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Xiao‐Yuan Jing, Jin Liu, Zhiwu Zhang, Shi Ying, Xudong Wang, Wenguang Mao, Alexandros G. Dimakis, Ruimin Hu, Jingyu Yang and Chao Liang. Their work appears in journals such as Expert Systems with Applications, Information Sciences and IEEE Transactions on Wireless Communications.
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.