Ruliang Xiao
- Artificial Intelligence top 10%
- Computer Networks and Communications top 10%
- Computer Vision and Pattern Recognition top 10%
- Information Systems top 10%
- Signal Processing
- Topics
- Anomaly Detection Techniques and Applications (14 papers)Network Security and Intrusion Detection (9 papers)Advanced Image and Video Retrieval Techniques (8 papers)
- Cited by
- Artificial IntelligenceComputer Networks and CommunicationsComputer Vision and Pattern Recognition
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessPattern Recognition
- Partner nations
- ChinaFranceUnited Kingdom
In The Last Decade
Ruliang Xiao
40 papers receiving 323 citations
Peers
Comparison fields: 5 of 89
- Artificial Intelligence 170
- Computer Networks and Communications 106
- Computer Vision and Pattern Recognition 72
- Information Systems 53
- Signal Processing 35
Countries citing papers authored by Ruliang Xiao
This map shows the geographic impact of Ruliang Xiao'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 Ruliang Xiao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruliang Xiao more than expected).
Fields of papers citing papers by Ruliang Xiao
This network shows the impact of papers produced by Ruliang Xiao. 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 Ruliang Xiao. The network helps show where Ruliang Xiao may publish in the future.
Co-authorship network of co-authors of Ruliang Xiao
This figure shows the co-authorship network connecting the top 25 collaborators of Ruliang Xiao. A scholar is included among the top collaborators of Ruliang Xiao 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 Ruliang Xiao. Ruliang Xiao 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 | 4 | |
| 7 | 0 | |
| 8 | 20 | |
| 9 | 4 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 13 | |
| 13 | 26 | |
| 14 | 1 | |
| 15 | 13 | |
| 16 | 6 | |
| 17 | 16 | |
| 18 | 1 | |
| 19 | Context-driven Reconciliation in Ontology Integration | 1 |
| 20 | 2 |
About Ruliang Xiao
Ruliang Xiao is a scholar working on Computer Networks and Communications, Artificial Intelligence and Signal Processing, having authored 50 papers that have together received 339 indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (14 papers), Network Security and Intrusion Detection (9 papers) and Advanced Image and Video Retrieval Techniques (8 papers). The work is most often cited by research in Artificial Intelligence (170 citations), Computer Networks and Communications (106 citations) and Computer Vision and Pattern Recognition (72 citations). Ruliang Xiao has collaborated with scholars based in China, France and United Kingdom. Frequent co-authors include Faliang Huang, Ping Gong, Mengzhu Wang, Roberto Minerva, Noël Crespi, Lifei Chen, Ling Li, Ziyu Lin, Huan Liu and Lina Fang. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Pattern Recognition.
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.