Ingrid Chieh Yu

602 total citations
32 papers, 239 citations indexed

About

Ingrid Chieh Yu is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Ingrid Chieh Yu has authored 32 papers receiving a total of 239 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 17 papers in Information Systems and 10 papers in Computer Networks and Communications. Recurrent topics in Ingrid Chieh Yu's work include Advanced Software Engineering Methodologies (13 papers), Service-Oriented Architecture and Web Services (10 papers) and Model-Driven Software Engineering Techniques (9 papers). Ingrid Chieh Yu is often cited by papers focused on Advanced Software Engineering Methodologies (13 papers), Service-Oriented Architecture and Web Services (10 papers) and Model-Driven Software Engineering Techniques (9 papers). Ingrid Chieh Yu collaborates with scholars based in Norway, Germany and Denmark. Ingrid Chieh Yu's co-authors include Einar Broch Johnsen, Olaf Owe, Jacopo Mauro, Christoph Seidl, P. S. Enger, Yngve Lamo, Fazle Rabbi, Lars Michael Kristensen, Thomas Thüm and Ferruccio Damiani and has published in prestigious journals such as Theoretical Computer Science, ACM SIGPLAN Notices and Science of Computer Programming.

In The Last Decade

Ingrid Chieh Yu

30 papers receiving 228 citations

Peers

Ingrid Chieh Yu
Comparison fields: 5 of 33
  • Artificial Intelligence 165
  • Information Systems 102
  • Computer Networks and Communications 75
  • Software 68
  • Computational Theory and Mathematics 55
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Citations per field, relative to Ingrid Chieh Yu
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Countries citing papers authored by Ingrid Chieh Yu

Since Specialization
Citations

This map shows the geographic impact of Ingrid Chieh 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 Ingrid Chieh Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ingrid Chieh Yu more than expected).

Fields of papers citing papers by Ingrid Chieh Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ingrid Chieh 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 Ingrid Chieh Yu. The network helps show where Ingrid Chieh Yu may publish in the future.

Co-authorship network of co-authors of Ingrid Chieh Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Ingrid Chieh Yu. A scholar is included among the top collaborators of Ingrid Chieh 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 Ingrid Chieh Yu. Ingrid Chieh Yu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 9
3 2
4 3
5 0
6 1
7 14
8 22
9 3
10
Generic Metamodel Refactoring with Automatic Detection of Applicability and Co-evolution of Artefacts
1
11 7
12 2
13
Automatic translation from FBD-PLC-programs to NuSMV for model checking safety-critical control systems
4
14
Towards a Multi Metamodelling Approach for Developing Distributed Healthcare Applications
3
15
A Diagrammatic Approach to Model Completion
8
16 1
17
Deadlock detection of active objects with synchronous and asynchronous method calls
2
18 17
19 1
20 52

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.

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