Chien-Tung Lin
Impact in
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- Power Systems and Renewable Energy
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- Electric Power System Optimization
- Optimal Power Flow Distribution
- Energy Load and Power Forecasting
- Smart Grid Energy Management
- Power System Optimization and Stability
Papers in
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- Optimal Power Flow Distribution 6
- Power System Optimization and Stability 4
- Electric Power System Optimization 3
- Smart Grid Energy Management 3
- Co-authors
- Ching‐Tzong Su (6 shared papers)Chih‐Ling Huang (1 shared paper)G.L. Viviani (1 shared paper)Ying‐Yi Hong (1 shared paper)Tankut Yalçinöz (1 shared paper)
- Journals
- IEEE Transactions on Power Systems (4 papers)Electric Power Systems Research (2 papers)IEEE Transactions on Power Delivery (1 paper)IEEE Power Engineering Review (1 paper)Journal of Robotics Networking and Artificial Life (1 paper)
- Partner nations
- TaiwanJapanUnited States
In The Last Decade
Chien-Tung Lin
10 papers receiving 359 citations
Peers
Comparison fields: 5 of 22
- Energy Engineering and Power Technology 29
- Electrical and Electronic Engineering 371
- Control and Systems Engineering 107
- Safety, Risk, Reliability and Quality 24
- Artificial Intelligence 48
Countries citing papers authored by Chien-Tung Lin
This map shows the geographic impact of Chien-Tung Lin'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 Chien-Tung Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chien-Tung Lin more than expected).
Fields of papers citing papers by Chien-Tung Lin
This network shows the impact of papers produced by Chien-Tung Lin. 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 Chien-Tung Lin. The network helps show where Chien-Tung Lin may publish in the future.
Co-authors
The 5 scholars most cited alongside Chien-Tung Lin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 186 | |
| 2 | 1992 | 96 | |
| 3 | 1996 | 36 | |
| 4 | 1984 | 27 | |
| 5 | 2001 | 27 | |
| 6 | 1995 | 11 | |
| 7 | 2021 | 2 | |
| 8 | 2002 | 1 | |
| 9 | 1987 | 1 | |
| 10 | 2000 | 1 | |
| 11 | 2021 | 0 | |
| 12 | 2023 | 0 |
About Chien-Tung Lin
Chien-Tung Lin is a scholar working on Electrical and Electronic Engineering, Cognitive Neuroscience, Human-Computer Interaction, Clinical Psychology and Control and Systems Engineering, having authored 12 papers that have together received 388 indexed citations. Recurring topics across this work include Optimal Power Flow Distribution (6 papers), Power System Optimization and Stability (4 papers), Electric Power System Optimization (3 papers), Smart Grid Energy Management (3 papers), Fuzzy Logic and Control Systems (1 paper), Microgrid Control and Optimization (1 paper), Virtual Reality Applications and Impacts (1 paper) and Neural Networks and Applications (1 paper). The work is most often cited by research in Energy Engineering and Power Technology (29 citations), Electrical and Electronic Engineering (371 citations), Control and Systems Engineering (107 citations), Safety, Risk, Reliability and Quality (24 citations) and Artificial Intelligence (48 citations). Chien-Tung Lin has collaborated with scholars based in Taiwan, Japan and United States. Frequent co-authors include Ching‐Tzong Su, Chih‐Ling Huang, G.L. Viviani, Ying‐Yi Hong and Tankut Yalçinöz. Their work appears in journals such as IEEE Transactions on Power Systems, Electric Power Systems Research, IEEE Transactions on Power Delivery, IEEE Power Engineering Review and Journal of Robotics Networking and Artificial Life.
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.