Qishi Wu
- Computer Networks and Communications top 1%
- Information Systems top 2%
- Electrical and Electronic Engineering
- Artificial Intelligence top 10%
- Information Systems and Management top 5%
- Co-authors
- Nageswara S. V. RaoSajjan G. ShivaCharles D. EllisSankardas RoyMengxia ZhuDipankar DasguptaVivek ShandilyaYi Gu
- Topics
- Distributed and Parallel Computing Systems (27 papers)Cloud Computing and Resource Management (18 papers)Network Traffic and Congestion Control (17 papers)
- Partner nations
- United StatesChinaSouth Korea
In The Last Decade
Qishi Wu
92 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 72
- Computer Networks and Communications 985
- Information Systems 453
- Electrical and Electronic Engineering 246
- Artificial Intelligence 180
- Information Systems and Management 140
Countries citing papers authored by Qishi Wu
This map shows the geographic impact of Qishi 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 Qishi Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qishi Wu more than expected).
Fields of papers citing papers by Qishi Wu
This network shows the impact of papers produced by Qishi 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 Qishi Wu. The network helps show where Qishi Wu may publish in the future.
Co-authorship network of co-authors of Qishi Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Qishi Wu. A scholar is included among the top collaborators of Qishi 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 Qishi Wu. Qishi 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 | 2 | |
| 2 | 5 | |
| 3 | 1 | |
| 4 | 9 | |
| 5 | 5 | |
| 6 | 7 | |
| 7 | A stochastic game model with imperfect information in cyber security | 6 |
| 8 | 2 | |
| 9 | 4 | |
| 10 | AVOIDIT: A Cyber Attack Taxonomy | 90 |
| 11 | An integrated cyber security monitoring system using correlation-based techniques | 11 |
| 12 | Exploring Redundancy in Sensor Deployment to Improve Fault Tolerance. | 1 |
| 13 | 1 | |
| 14 | 13 | |
| 15 | 11 | |
| 16 | A Parallel Computing Approach to Decipher Transcription Network for Large-scale Microarray Datasets. | 1 |
| 17 | 72 | |
| 18 | 33 | |
| 19 | 41 | |
| 20 | 77 |
About Qishi Wu
Qishi Wu is a scholar working on Computer Networks and Communications, Information Systems and Management and Information Systems, having authored 93 papers that have together received 1.2k indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (27 papers), Cloud Computing and Resource Management (18 papers) and Network Traffic and Congestion Control (17 papers). The work is most often cited by research in Computer Networks and Communications (985 citations), Information Systems and Management (140 citations) and Information Systems (453 citations). Qishi Wu has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Nageswara S. V. Rao, Sajjan G. Shiva, Charles D. Ellis, Sankardas Roy, Mengxia Zhu, Dipankar Dasgupta, Vivek Shandilya, Yi Gu, Yi Gu and Xiaojiang Du. Their work appears in journals such as IEEE Communications Magazine, BMC Genomics and IEEE Transactions on Computers.
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.