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
- Peer-to-Peer Network Technologies 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)Marcel Karnstedt (1 shared paper)Wolfgang Lehner (1 shared paper)Gregor Hackenbroich (3 shared papers)
- Journals
- ACM SIGMOD Record (1 paper)Information Systems (1 paper)Qucosa (Saxon State and University Library Dresden) (1 paper)Publikation Server (Leipzig University) (2 papers)
- Partner nations
- Germany
In The Last Decade
Hong-Hai Do
8 papers receiving 582 citations
Peers
Comparison fields: 5 of 40
- Artificial Intelligence 584
- Information Systems 390
- Management Science and Operations Research 207
- Computer Networks and Communications 279
- Management Information Systems 55
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 | 338 | |
| 2 | 2006 | 140 | |
| 3 | 2004 | 74 | |
| 4 | Comparison of Schema Matching Evaluations | 2002 | 48 |
| 5 | 2007 | 34 | |
| 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 664 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (8 papers), Data Quality and Management (6 papers), Advanced Database Systems and Queries (6 papers), Service-Oriented Architecture and Web Services (4 papers), Interconnection Networks and Systems (1 paper), Real-Time Systems Scheduling (1 paper), Embedded Systems Design Techniques (1 paper) and Peer-to-Peer Network Technologies (1 paper). The work is most often cited by research in Artificial Intelligence (584 citations), Information Systems (390 citations), Management Science and Operations Research (207 citations), Computer Networks and Communications (279 citations) and Management Information Systems (55 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, Marcel Karnstedt, Wolfgang Lehner, Gregor Hackenbroich, Anja Klein and Jürgen Anke. Their work appears in journals such as ACM SIGMOD Record, Information Systems, Qucosa (Saxon State and University Library Dresden) and Publikation Server (Leipzig University).
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.