Guizhen Yang
- Information Systems top 5%
- Artificial Intelligence top 10%
- Signal Processing top 10%
- Computer Networks and Communications top 10%
- Computational Theory and Mathematics top 10%
- Co-authors
- I. V. RamakrishnanAmanda StentMichael KiferHasan DavulcuSaikat MukherjeeVinay K. ChaudhriJosé Luis AmbiteMaria Muslea
- Topics
- Advanced Database Systems and Queries (5 papers)Algorithms and Data Compression (5 papers)Semantic Web and Ontologies (4 papers)
- Partner nations
- United StatesChina
In The Last Decade
Guizhen Yang
13 papers receiving 249 citations
Peers
Comparison fields: 5 of 40
- Information Systems 210
- Artificial Intelligence 125
- Signal Processing 73
- Computer Networks and Communications 65
- Computational Theory and Mathematics 54
Countries citing papers authored by Guizhen Yang
This map shows the geographic impact of Guizhen Yang'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 Guizhen Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guizhen Yang more than expected).
Fields of papers citing papers by Guizhen Yang
This network shows the impact of papers produced by Guizhen Yang. 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 Guizhen Yang. The network helps show where Guizhen Yang may publish in the future.
Co-authorship network of co-authors of Guizhen Yang
This figure shows the co-authorship network connecting the top 25 collaborators of Guizhen Yang. A scholar is included among the top collaborators of Guizhen Yang 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 Guizhen Yang. Guizhen Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Inheritance in rule-based frame systems : Semantics and inference | 1 |
| 2 | 3 | |
| 3 | 22 | |
| 4 | 6 | |
| 5 | 27 | |
| 6 | 99 | |
| 7 | 60 | |
| 8 | Reasoning about Anonymous Resources and Meta Statements on the Semantic Web | 7 |
| 9 | 13 | |
| 10 | On the Power of Semantic Partitioning of Web Documents. | 9 |
| 11 | A model theory for nonmonotonic multiple value and code inheritance in object-oriented knowledge bases | 2 |
| 12 | Computational Aspects of Resilient Data Extraction from Semistructured Sources. | 15 |
| 13 | 12 | |
| 14 | [Promoting effect of panaxatriol ginsenoside on gene expression of human interleukin-1]. | 2 |
About Guizhen Yang
Guizhen Yang is a scholar working on Information Systems, Artificial Intelligence and Computer Networks and Communications, having authored 14 papers that have together received 278 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (5 papers), Algorithms and Data Compression (5 papers) and Semantic Web and Ontologies (4 papers). The work is most often cited by research in Human Factors and Ergonomics (44 citations), Information Systems (210 citations) and Signal Processing (73 citations). Guizhen Yang has collaborated with scholars based in United States and China. Frequent co-authors include I. V. Ramakrishnan, Amanda Stent, Michael Kifer, Hasan Davulcu, Saikat Mukherjee, Vinay K. Chaudhri, José Luis Ambite, Maria Muslea, Tomás E. Uribe and Sunil Kumar Mishra. Their work appears in journals such as Theoretical Computer Science, Archives of Gerontology and Geriatrics and PubMed.
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.