Chieh-Yuan Tsai

79 total papers · 1.8k total citations
59 papers, 1.2k citations indexed

About

Chieh-Yuan Tsai is a scholar working on Information Systems, Artificial Intelligence and Marketing. According to data from OpenAlex, Chieh-Yuan Tsai has authored 59 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Information Systems, 21 papers in Artificial Intelligence and 11 papers in Marketing. Recurrent topics in Chieh-Yuan Tsai's work include Data Mining Algorithms and Applications (19 papers), Data Management and Algorithms (8 papers) and Recommender Systems and Techniques (7 papers). Chieh-Yuan Tsai is often cited by papers focused on Data Mining Algorithms and Applications (19 papers), Data Management and Algorithms (8 papers) and Recommender Systems and Techniques (7 papers). Chieh-Yuan Tsai collaborates with scholars based in Taiwan, China and United States. Chieh-Yuan Tsai's 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, Chih-Chung Lo and Chao-Che Hsu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Tourism Management and Expert Systems with Applications.

In The Last Decade

Chieh-Yuan Tsai

57 papers receiving 1.2k citations

Hit Papers

Review of the metaheurist... 2024 2026 2024 10 20 30 40

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Chieh-Yuan Tsai 369 237 216 210 160 59 1.2k
Nikolaos Matsatsinis 397 1.1× 272 1.1× 114 0.5× 432 2.1× 73 0.5× 94 1.5k
James M. Tien 246 0.7× 201 0.8× 227 1.1× 322 1.5× 126 0.8× 79 1.5k
Yuanchun Jiang 522 1.4× 390 1.6× 248 1.1× 128 0.6× 54 0.3× 93 1.3k
Long‐Sheng Chen 503 1.4× 305 1.3× 142 0.7× 115 0.5× 78 0.5× 107 1.4k
Xin Fu 186 0.5× 154 0.6× 86 0.4× 110 0.5× 29 0.2× 58 972
Mamata Jenamani 266 0.7× 194 0.8× 224 1.0× 196 0.9× 103 0.6× 99 1.3k
Timon C. Du 177 0.5× 179 0.8× 166 0.8× 207 1.0× 121 0.8× 57 1.5k
Hui Sun 462 1.3× 474 2.0× 128 0.6× 78 0.4× 31 0.2× 102 1.5k
Joe Naoum‐Sawaya 206 0.6× 95 0.4× 131 0.6× 84 0.4× 115 0.7× 46 1.3k
Mohammad Reza Gholamian 189 0.5× 152 0.6× 286 1.3× 126 0.6× 179 1.1× 99 1.2k

Countries citing papers authored by Chieh-Yuan Tsai

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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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