Xin-Wen Wu
- Computer Networks and Communications top 5%
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Electrical and Electronic Engineering
- Computational Theory and Mathematics top 5%
- Co-authors
- Vallipuram MuthukkumarasamyAlireza JolfaeiRuud PellikaanPaul H. SiegelMuhammad UsmanSoo Ngee KohKamanashis BiswasXiaobei Liu
- Topics
- Coding theory and cryptography (30 papers)Network Security and Intrusion Detection (18 papers)graph theory and CDMA systems (14 papers)
- Cited by
- Computer Networks and CommunicationsComputer Vision and Pattern RecognitionArtificial Intelligence
- Journals
- Scientific ReportsIEEE Transactions on Information TheoryConstruction and Building Materials
- Partner nations
- AustraliaChinaUnited States
In The Last Decade
Xin-Wen Wu
76 papers receiving 774 citations
Peers
Comparison fields: 5 of 66
- Computer Networks and Communications 380
- Artificial Intelligence 361
- Computer Vision and Pattern Recognition 276
- Electrical and Electronic Engineering 259
- Computational Theory and Mathematics 105
Countries citing papers authored by Xin-Wen Wu
This map shows the geographic impact of Xin-Wen 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 Xin-Wen Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xin-Wen Wu more than expected).
Fields of papers citing papers by Xin-Wen Wu
This network shows the impact of papers produced by Xin-Wen 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 Xin-Wen Wu. The network helps show where Xin-Wen Wu may publish in the future.
Co-authorship network of co-authors of Xin-Wen Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Xin-Wen Wu. A scholar is included among the top collaborators of Xin-Wen 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 Xin-Wen Wu. Xin-Wen 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 | 3 | |
| 4 | 4 | |
| 5 | 10 | |
| 6 | 21 | |
| 7 | 0 | |
| 8 | 2 | |
| 9 | 1 | |
| 10 | 16 | |
| 11 | 4 | |
| 12 | 18 | |
| 13 | 25 | |
| 14 | 9 | |
| 15 | TSPass: A Dynamic User Authentication Scheme Based On Time and Space | 1 |
| 16 | 12 | |
| 17 | 27 | |
| 18 | 5 | |
| 19 | 4 | |
| 20 | 2 |
About Xin-Wen Wu
Xin-Wen Wu is a scholar working on Computer Networks and Communications, Artificial Intelligence and Discrete Mathematics and Combinatorics, having authored 84 papers that have together received 836 indexed citations. Recurring topics across this work include Coding theory and cryptography (30 papers), Network Security and Intrusion Detection (18 papers) and graph theory and CDMA systems (14 papers). The work is most often cited by research in Computer Networks and Communications (380 citations), Computer Vision and Pattern Recognition (276 citations) and Artificial Intelligence (361 citations). Xin-Wen Wu has collaborated with scholars based in Australia, China and United States. Frequent co-authors include Vallipuram Muthukkumarasamy, Alireza Jolfaei, Ruud Pellikaan, Paul H. Siegel, Muhammad Usman, Soo Ngee Koh, Kamanashis Biswas, Xiaobei Liu, Paul Watters and Qiubo Ye. Their work appears in journals such as Scientific Reports, IEEE Transactions on Information Theory and Construction and Building Materials.
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.