Chieh-Yuan Tsai
- Artificial Intelligence top 5%
- Information Systems top 5%
- Marketing top 5%
- Management Science and Operations Research top 5%
- Organizational Behavior and Human Resource Management top 5%
- Co-authors
- James J.H. LiouChia-Chi ChiuGwo‐Hshiung TzengRong-Ho LinLiguo YaoYao LuR.J. KuoChun‐Ming Chang
- Topics
- Data Mining Algorithms and Applications (19 papers)Data Management and Algorithms (8 papers)Recommender Systems and Techniques (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaTourism ManagementExpert Systems with Applications
- Partner nations
- TaiwanChinaUnited States
In The Last Decade
Chieh-Yuan Tsai
58 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 102
- Artificial Intelligence 374
- Information Systems 236
- Marketing 217
- Management Science and Operations Research 209
- Organizational Behavior and Human Resource Management 160
Countries citing papers authored by Chieh-Yuan Tsai
This map shows the geographic impact of Chieh-Yuan Tsai'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 Chieh-Yuan Tsai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chieh-Yuan Tsai more than expected).
Fields of papers citing papers by Chieh-Yuan Tsai
This network shows the impact of papers produced by Chieh-Yuan Tsai. 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 Chieh-Yuan Tsai. The network helps show where Chieh-Yuan Tsai may publish in the future.
Co-authorship network of co-authors of Chieh-Yuan Tsai
This figure shows the co-authorship network connecting the top 25 collaborators of Chieh-Yuan Tsai. A scholar is included among the top collaborators of Chieh-Yuan Tsai 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 Chieh-Yuan Tsai. Chieh-Yuan Tsai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 13 | |
| 3 | 5 | |
| 4 | 0 | |
| 5 | 76 | |
| 6 | 4 | |
| 7 | 5 | |
| 8 | 3 | |
| 9 | 3 | |
| 10 | 24 | |
| 11 | 9 | |
| 12 | 15 | |
| 13 | Applying a two-stage simulated annealing algorithm for shelf space allocation problems | 6 |
| 14 | 5 | |
| 15 | 1 | |
| 16 | 28 | |
| 17 | 27 | |
| 18 | A change detection model for credit card usage behavior | 1 |
| 19 | A VNS-based hierarchical clustering method | 2 |
| 20 | 16 |
About Chieh-Yuan Tsai
Chieh-Yuan Tsai is a scholar working on Information Systems, Marketing and Management of Technology and Innovation, having authored 59 papers that have together received 1.3k indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (19 papers), Data Management and Algorithms (8 papers) and Recommender Systems and Techniques (7 papers). The work is most often cited by research in Marketing (217 citations), Transportation (144 citations) and Management Science and Operations Research (209 citations). Chieh-Yuan Tsai has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include James J.H. Liou, Chia-Chi Chiu, Gwo‐Hshiung Tzeng, Rong-Ho Lin, Liguo Yao, Yao Lu, R.J. Kuo, Chun‐Ming Chang, Chao-Che Hsu and Chih-Chung Lo. Their work appears in journals such as SHILAP Revista de lepidopterología, Tourism Management and Expert Systems with Applications.
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.