I‐Ching Hsu
Impact in
- Information Systems top 5%
- Service-Oriented Architecture and Web Services
- Recommender Systems and Techniques
- Cloud Computing and Resource Management
- Artificial Intelligence top 10%
- Semantic Web and Ontologies
Papers in
-
- Service-Oriented Architecture and Web Services 19
- Cloud Computing and Resource Management 5
-
- IoT and Edge/Fog Computing 9
- Advanced Database Systems and Queries 7
- Caching and Content Delivery 5
- Co-authors
- Shang‐Juh Kao (2 shared papers)Yeh‐Ching Chung (1 shared paper)Der‐Chen Huang (6 shared papers)Sheau‐Shong Bor (1 shared paper)Nien‐Lin Hsueh (1 shared paper)Guan‐Wei Chen (1 shared paper)
In The Last Decade
I‐Ching Hsu
35 papers receiving 280 citations
Peers
Comparison fields: 5 of 52
- Information Systems 185
- Artificial Intelligence 165
- Health Informatics 6
- Computer Networks and Communications 102
- Computer Science Applications 20
Countries citing papers authored by I‐Ching Hsu
This map shows the geographic impact of I‐Ching Hsu'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 I‐Ching Hsu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites I‐Ching Hsu more than expected).
Fields of papers citing papers by I‐Ching Hsu
This network shows the impact of papers produced by I‐Ching Hsu. 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 I‐Ching Hsu. The network helps show where I‐Ching Hsu may publish in the future.
Co-authors
The 6 scholars most cited alongside I‐Ching Hsu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 31 | |
| 2 | 2022 | 24 | |
| 3 | Intelligent Discovery for Learning Objects Using Semantic Web Technologies | 2012 | 22 |
| 4 | 2013 | 22 | |
| 5 | 2015 | 21 | |
| 6 | 2020 | 17 | |
| 7 | 2011 | 16 | |
| 8 | 2011 | 15 | |
| 9 | 2011 | 15 | |
| 10 | 2008 | 15 | |
| 11 | 2008 | 11 | |
| 12 | 2005 | 11 | |
| 13 | 2013 | 9 | |
| 14 | 2011 | 9 | |
| 15 | 2020 | 8 | |
| 16 | 2012 | 8 | |
| 17 | 2013 | 7 | |
| 18 | 2013 | 6 | |
| 19 | 2011 | 5 | |
| 20 | 2019 | 5 |
About I‐Ching Hsu
I‐Ching Hsu is a scholar working on Information Systems, Computer Networks and Communications, Artificial Intelligence, Computer Vision and Pattern Recognition and Management Science and Operations Research, having authored 37 papers that have together received 315 indexed citations. Recurring topics across this work include Service-Oriented Architecture and Web Services (19 papers), Semantic Web and Ontologies (14 papers), IoT and Edge/Fog Computing (9 papers), Advanced Database Systems and Queries (7 papers), Context-Aware Activity Recognition Systems (6 papers), Cloud Computing and Resource Management (5 papers), Caching and Content Delivery (5 papers) and Data Quality and Management (3 papers). The work is most often cited by research in Information Systems (185 citations), Artificial Intelligence (165 citations), Health Informatics (6 citations), Computer Networks and Communications (102 citations) and Computer Science Applications (20 citations). I‐Ching Hsu has collaborated with scholars based in Taiwan and Argentina. Frequent co-authors include Shang‐Juh Kao, Yeh‐Ching Chung, Der‐Chen Huang, Sheau‐Shong Bor, Nien‐Lin Hsueh and Guan‐Wei Chen. Their work appears in journals such as Software Practice and Experience, Computer Standards & Interfaces, Applied Intelligence, The Electronic Library and Simulation Modelling Practice and Theory.
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.