Tung‐I Tsai
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 10%
- Control and Systems Engineering top 10%
- Industrial and Manufacturing Engineering top 5%
- Management Science and Operations Research top 10%
- Co-authors
- Der‐Chiang LiChien-Chang ChenShih-Cheng HuTe‐Jung LuSusan C. HuTe‐Ling LuBo‐Ying BaoLiang-Sian Lin
- Topics
- Neural Networks and Applications (5 papers)Fault Detection and Control Systems (3 papers)Imbalanced Data Classification Techniques (3 papers)
- Cited by
- Industrial and Manufacturing EngineeringArtificial IntelligenceComputer Vision and Pattern Recognition
- Partner nations
- TaiwanChinaUnited States
In The Last Decade
Tung‐I Tsai
18 papers receiving 604 citations
Peers
Comparison fields: 5 of 104
- Artificial Intelligence 234
- Computer Vision and Pattern Recognition 143
- Control and Systems Engineering 90
- Industrial and Manufacturing Engineering 83
- Management Science and Operations Research 79
Countries citing papers authored by Tung‐I Tsai
This map shows the geographic impact of Tung‐I 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 Tung‐I Tsai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tung‐I Tsai more than expected).
Fields of papers citing papers by Tung‐I Tsai
This network shows the impact of papers produced by Tung‐I 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 Tung‐I Tsai. The network helps show where Tung‐I Tsai may publish in the future.
Co-authorship network of co-authors of Tung‐I Tsai
This figure shows the co-authorship network connecting the top 25 collaborators of Tung‐I Tsai. A scholar is included among the top collaborators of Tung‐I 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 Tung‐I Tsai. Tung‐I 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 | 16 | |
| 2 | 2 | |
| 3 | 12 | |
| 4 | 3 | |
| 5 | 10 | |
| 6 | 9 | |
| 7 | 32 | |
| 8 | 6 | |
| 9 | 43 | |
| 10 | 49 | |
| 11 | 13 | |
| 12 | 21 | |
| 13 | 23 | |
| 14 | 15 | |
| 15 | 14 | |
| 16 | 56 | |
| 17 | 190 | |
| 18 | 117 |
About Tung‐I Tsai
Tung‐I Tsai is a scholar working on Industrial and Manufacturing Engineering, Artificial Intelligence and Management Information Systems, having authored 18 papers that have together received 631 indexed citations. Recurring topics across this work include Neural Networks and Applications (5 papers), Fault Detection and Control Systems (3 papers) and Imbalanced Data Classification Techniques (3 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (83 citations), Artificial Intelligence (234 citations) and Computer Vision and Pattern Recognition (143 citations). Tung‐I Tsai has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Der‐Chiang Li, Chien-Chang Chen, Shih-Cheng Hu, Te‐Jung Lu, Susan C. Hu, Te‐Ling Lu, Bo‐Ying Bao, Liang-Sian Lin, Hsiu‐Hung Wang and Lir‐Wan Fan. Their work appears in journals such as Expert Systems with Applications, Information Sciences and Thin Solid Films.
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.