Hong-Hai Do
Impact in
- Artificial Intelligence top 2%
- Semantic Web and Ontologies
- Natural Language Processing Techniques
- Information Systems top 2%
- Service-Oriented Architecture and Web Services
- Web Data Mining and Analysis
Papers in
-
- Advanced Database Systems and Queries 6
- Interconnection Networks and Systems 1
- Caching and Content Delivery 1
-
- Semantic Web and Ontologies 8
- Co-authors
- Erhard Rahm (5 shared papers)Sabine Maßmann (2 shared papers)David Aumueller (1 shared paper)Sergey Melnik (1 shared paper)Matthias Schmitt (1 shared paper)Gregor Hackenbroich (3 shared papers)Marcel Karnstedt (1 shared paper)Wolfgang Lehner (1 shared paper)
- Journals
- Information Systems (1 paper)ACM SIGMOD Record (1 paper)Qucosa (Saxon State and University Library Dresden) (3 papers)
- Partner nations
- Germany
In The Last Decade
Hong-Hai Do
8 papers receiving 579 citations
Peers
Comparison fields: 5 of 40
- Artificial Intelligence 586
- Information Systems 389
- Management Science and Operations Research 209
- Computer Networks and Communications 279
- Management Information Systems 54
Countries citing papers authored by Hong-Hai Do
This map shows the geographic impact of Hong-Hai Do'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-Hai Do with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hong-Hai Do more than expected).
Fields of papers citing papers by Hong-Hai Do
This network shows the impact of papers produced by Hong-Hai Do. 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-Hai Do. The network helps show where Hong-Hai Do may publish in the future.
Co-authors
The 11 scholars most cited alongside Hong-Hai Do, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 335 | |
| 2 | 2006 | 140 | |
| 3 | 2004 | 74 | |
| 4 | Comparison of Schema Matching Evaluations | 2002 | 48 |
| 5 | 2007 | 33 | |
| 6 | 2007 | 23 | |
| 7 | 2008 | 3 | |
| 8 | 2006 | 2 | |
| 9 | 2008 | 1 | |
| 10 | A Middleware for Real-world Aware PLM Applications | 2011 | 1 |
About Hong-Hai Do
Hong-Hai Do is a scholar working on Computer Networks and Communications, Artificial Intelligence, Management Science and Operations Research, Information Systems and Hardware and Architecture, having authored 10 papers that have together received 660 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (8 papers), Advanced Database Systems and Queries (6 papers), Data Quality and Management (6 papers), Service-Oriented Architecture and Web Services (4 papers), Embedded Systems Design Techniques (1 paper), Real-Time Systems Scheduling (1 paper), Interconnection Networks and Systems (1 paper) and Caching and Content Delivery (1 paper). The work is most often cited by research in Artificial Intelligence (586 citations), Information Systems (389 citations), Management Science and Operations Research (209 citations), Computer Networks and Communications (279 citations) and Management Information Systems (54 citations). Hong-Hai Do has collaborated with scholars based in Germany. Frequent co-authors include Erhard Rahm, Sabine Maßmann, David Aumueller, Sergey Melnik, Matthias Schmitt, Gregor Hackenbroich, Marcel Karnstedt, Wolfgang Lehner, Anja Klein and Alexander Löser. Their work appears in journals such as Information Systems, ACM SIGMOD Record and Qucosa (Saxon State and University Library Dresden).
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.