Ching-Seh Wu
Impact in
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- Artificial Intelligence in Healthcare
- Medical Laboratory Technology top 10%
Papers in
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- Service-Oriented Architecture and Web Services 8
- Software Engineering Research 4
- Software Engineering Techniques and Practices 3
- Cloud Computing and Resource Management 3
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- Software System Performance and Reliability 4
- Distributed and Parallel Computing Systems 3
- Co-authors
- Wei‐Chun Chang (2 shared papers)Katerina Potika (1 shared paper)Chun‐Yen Chang (1 shared paper)Ishwar K. Sethi (1 shared paper)Melody Moh (1 shared paper)Teng-Sheng Moh (1 shared paper)Wendy Lee (1 shared paper)David Taylor (1 shared paper)
- Journals
- INTERNATIONAL JOURNAL ON Advances in Information Sciences and Service Sciences (1 paper)IEEE Transactions on Information Technology in Biomedicine (1 paper)
- Partner nations
- United StatesTaiwan
In The Last Decade
Ching-Seh Wu
23 papers receiving 274 citations
Peers
Comparison fields: 5 of 65
- Health Information Management 57
- Medical Laboratory Technology 11
- Information Systems 156
- Software 20
- Management Science and Operations Research 49
Countries citing papers authored by Ching-Seh Wu
This map shows the geographic impact of Ching-Seh Wu'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 Ching-Seh Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ching-Seh Wu more than expected).
Fields of papers citing papers by Ching-Seh Wu
This network shows the impact of papers produced by Ching-Seh Wu. 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 Ching-Seh Wu. The network helps show where Ching-Seh Wu may publish in the future.
Co-authors
The 8 scholars most cited alongside Ching-Seh Wu, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 57 | |
| 2 | 2018 | 53 | |
| 3 | 2012 | 31 | |
| 4 | 2020 | 28 | |
| 5 | 2005 | 18 | |
| 6 | 2009 | 14 | |
| 7 | 2018 | 12 | |
| 8 | 2019 | 12 | |
| 9 | 2014 | 12 | |
| 10 | 2002 | 11 | |
| 11 | 2012 | 7 | |
| 12 | 2012 | 6 | |
| 13 | 2012 | 6 | |
| 14 | 2012 | 6 | |
| 15 | 2023 | 4 | |
| 16 | 2002 | 4 | |
| 17 | 2012 | 4 | |
| 18 | 2013 | 4 | |
| 19 | 2013 | 3 | |
| 20 | 2019 | 3 |
About Ching-Seh Wu
Ching-Seh Wu is a scholar working on Information Systems, Computer Networks and Communications, Artificial Intelligence, Management Science and Operations Research and Management Information Systems, having authored 24 papers that have together received 299 indexed citations. Recurring topics across this work include Service-Oriented Architecture and Web Services (8 papers), Software Engineering Research (4 papers), Software System Performance and Reliability (4 papers), Software Testing and Debugging Techniques (3 papers), Distributed and Parallel Computing Systems (3 papers), Advanced Software Engineering Methodologies (3 papers), Software Engineering Techniques and Practices (3 papers) and Cloud Computing and Resource Management (3 papers). The work is most often cited by research in Health Information Management (57 citations), Medical Laboratory Technology (11 citations), Information Systems (156 citations), Software (20 citations) and Management Science and Operations Research (49 citations). Ching-Seh Wu has collaborated with scholars based in United States and Taiwan. Frequent co-authors include Wei‐Chun Chang, Katerina Potika, Chun‐Yen Chang, Ishwar K. Sethi, Melody Moh, Teng-Sheng Moh, Wendy Lee and David Taylor. Their work appears in journals such as INTERNATIONAL JOURNAL ON Advances in Information Sciences and Service Sciences and IEEE Transactions on Information Technology in Biomedicine.
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.