Yu‐Liang Chi

25 papers receiving 220 citations

Peers

Yu‐Liang Chi
Comparison fields: 5 of 68
  • Computer Science Applications 37
  • Management Information Systems 46
  • Artificial Intelligence 137
  • Information Systems 71
  • Management Science and Operations Research 19
Replace Rose Dieng-Kuntz with:
Rose Dieng-Kuntz France
Henda Hajjami Ben Ghézala Tunisia
François Charoy France
Stella Heras Spain
Ajantha Dahanayake Netherlands
Boris Düdder Denmark
Jennifer Sampson Australia
Christopher Walton United Kingdom
Thomas Roth–Berghofer Germany
Barry Norton United Kingdom
Yu‐Liang Chi relative to Rose Dieng-Kuntz France Rose Dieng-Kuntz's profile →
Citations per field
00.5×
Rose Dieng-Kuntz · 1×
Citations per year

Countries citing papers authored by Yu‐Liang Chi

Since Specialization
Citations

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

Fields of papers citing papers by Yu‐Liang Chi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yu‐Liang Chi. 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 Yu‐Liang Chi. The network helps show where Yu‐Liang Chi may publish in the future.

Co-authors

The 15 scholars most cited alongside Yu‐Liang Chi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yu‐Liang Chi Line = papers co-authored together Yu‐Liang Chi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200857
2 201434
3 200928
4 200621
5 200616
6 200713
7 200811
8 20088
9 20177
10 20206
11 20086
12 20095
13 20095
14 20214
15 20054
16
A Grid Service Oriented Platform for Mobile Learning of English
20034
17 19983
18 20023
19 20053
20
An Object-oriented Quality Framework with Optimization Models for Managing Data Quality in Data Warehouse Applications
20052

About Yu‐Liang Chi

Yu‐Liang Chi is a scholar working on Artificial Intelligence, Information Systems, Management Information Systems, Management Science and Operations Research and Molecular Biology, having authored 26 papers that have together received 246 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (12 papers), Business Process Modeling and Analysis (5 papers), Service-Oriented Architecture and Web Services (5 papers), Biomedical Text Mining and Ontologies (5 papers), Data Quality and Management (3 papers), Open Education and E-Learning (3 papers), Simulation Techniques and Applications (3 papers) and Advanced Database Systems and Queries (2 papers). The work is most often cited by research in Computer Science Applications (37 citations), Management Information Systems (46 citations), Artificial Intelligence (137 citations), Information Systems (71 citations) and Management Science and Operations Research (19 citations). Yu‐Liang Chi has collaborated with scholars based in Taiwan, United States and Germany. Frequent co-authors include Wan-Ting Tsai, Hyeon Gyu Lee, Tien‐Yu Hsu, Wei‐Pang Yang, Chung‐Yang Chen, Chihli Hung, Han‐Yu Sung, Hsiao‐Chi Chen, Philip M. Wolfe and Ching‐Jung Liao. Their work appears in journals such as Expert Systems with Applications, The Electronic Library, Journal of Biomedical Informatics, Neurocomputing and Future Generation Computer Systems.

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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