Ming‐Tang Tsai
- Electrical and Electronic Engineering top 10%
- Control and Systems Engineering top 10%
- Management Science and Operations Research top 10%
- Artificial Intelligence
- Economics and Econometrics
- Topics
- Electric Power System Optimization (15 papers)Energy Load and Power Forecasting (14 papers)Smart Grid Energy Management (11 papers)
- Cited by
- Energy Engineering and Power TechnologyElectrical and Electronic EngineeringControl and Systems Engineering
- Journals
- SHILAP Revista de lepidopterologíaApplied EnergyExpert Systems with Applications
In The Last Decade
Ming‐Tang Tsai
30 papers receiving 482 citations
Peers
Comparison fields: 5 of 48
- Electrical and Electronic Engineering 421
- Control and Systems Engineering 124
- Management Science and Operations Research 64
- Artificial Intelligence 55
- Economics and Econometrics 42
Countries citing papers authored by Ming‐Tang Tsai
This map shows the geographic impact of Ming‐Tang 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 Ming‐Tang Tsai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming‐Tang Tsai more than expected).
Fields of papers citing papers by Ming‐Tang Tsai
This network shows the impact of papers produced by Ming‐Tang 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 Ming‐Tang Tsai. The network helps show where Ming‐Tang Tsai may publish in the future.
Co-authorship network of co-authors of Ming‐Tang Tsai
This figure shows the co-authorship network connecting the top 25 collaborators of Ming‐Tang Tsai. A scholar is included among the top collaborators of Ming‐Tang 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 Ming‐Tang Tsai. Ming‐Tang 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 | 0 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 3 | |
| 8 | 3 | |
| 9 | 3 | |
| 10 | 3 | |
| 11 | 38 | |
| 12 | 14 | |
| 13 | 25 | |
| 14 | 5 | |
| 15 | 43 | |
| 16 | 26 | |
| 17 | 75 | |
| 18 | 1 | |
| 19 | 47 | |
| 20 | 1 |
About Ming‐Tang Tsai
Ming‐Tang Tsai is a scholar working on Management Science and Operations Research, Electrical and Electronic Engineering and Energy Engineering and Power Technology, having authored 32 papers that have together received 501 indexed citations. Recurring topics across this work include Electric Power System Optimization (15 papers), Energy Load and Power Forecasting (14 papers) and Smart Grid Energy Management (11 papers). The work is most often cited by research in Energy Engineering and Power Technology (24 citations), Electrical and Electronic Engineering (421 citations) and Control and Systems Engineering (124 citations). Ming‐Tang Tsai has collaborated with scholars based in Taiwan and China. Frequent co-authors include Whei-Min Lin, Chia‐Sheng Tu, Whei‐Min Lin, Chi‐Chun Lo, Yunhai Wang, Fu-Sheng Cheng and Tung‐Sheng Zhan. Their work appears in journals such as SHILAP Revista de lepidopterología, Applied Energy 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.