Hong Qing Yu
- Artificial Intelligence top 5%
- Information Systems top 5%
- Computer Networks and Communications top 10%
- Computer Science Applications top 5%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Stephan Reiff‐MarganiecStefan DietzeMark RiedlJohn DomingueCarlos PedrinaciDaniela GiordanoIvana MarenziBernardo Pereira Nunes
- Topics
- Semantic Web and Ontologies (20 papers)Service-Oriented Architecture and Web Services (16 papers)Biomedical Text Mining and Ontologies (6 papers)
- Partner nations
- United KingdomChinaGermany
In The Last Decade
Hong Qing Yu
54 papers receiving 527 citations
Peers
Comparison fields: 5 of 102
- Artificial Intelligence 284
- Information Systems 220
- Computer Networks and Communications 113
- Computer Science Applications 88
- Computer Vision and Pattern Recognition 85
Countries citing papers authored by Hong Qing Yu
This map shows the geographic impact of Hong Qing Yu'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 Hong Qing Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hong Qing Yu more than expected).
Fields of papers citing papers by Hong Qing Yu
This network shows the impact of papers produced by Hong Qing Yu. 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 Hong Qing Yu. The network helps show where Hong Qing Yu may publish in the future.
Co-authorship network of co-authors of Hong Qing Yu
This figure shows the co-authorship network connecting the top 25 collaborators of Hong Qing Yu. A scholar is included among the top collaborators of Hong Qing Yu 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 Hong Qing Yu. Hong Qing Yu 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 | 12 | |
| 5 | 5 | |
| 6 | 0 | |
| 7 | 4 | |
| 8 | 3 | |
| 9 | Extracting and representing causal knowledge of health conditions | 1 |
| 10 | 12 | |
| 11 | 10 | |
| 12 | 1 | |
| 13 | 2 | |
| 14 | 44 | |
| 15 | 2 | |
| 16 | Semantic TV-resources brokering towards future television | 0 |
| 17 | 29 | |
| 18 | 43 | |
| 19 | 1 | |
| 20 | 1 |
About Hong Qing Yu
Hong Qing Yu is a scholar working on Artificial Intelligence, Health Information Management and Information Systems, having authored 62 papers that have together received 571 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (20 papers), Service-Oriented Architecture and Web Services (16 papers) and Biomedical Text Mining and Ontologies (6 papers). The work is most often cited by research in Computer Science Applications (88 citations), Information Systems (220 citations) and Artificial Intelligence (284 citations). Hong Qing Yu has collaborated with scholars based in United Kingdom, China and Germany. Frequent co-authors include Stephan Reiff‐Marganiec, Stefan Dietze, Mark Riedl, John Domingue, Carlos Pedrinaci, Daniela Giordano, Ivana Marenzi, Bernardo Pereira Nunes, Salvador Sánchez‐Alonso and Hannes Ebner. Their work appears in journals such as International Journal of Molecular Sciences, Sensors and Information Fusion.
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.