Chien-Tung Lin

469 total citations
12 papers, 375 citations indexed

About

Chien-Tung Lin is a scholar working on Electrical and Electronic Engineering, Cognitive Neuroscience and Human-Computer Interaction. According to data from OpenAlex, Chien-Tung Lin has authored 12 papers receiving a total of 375 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Electrical and Electronic Engineering, 3 papers in Cognitive Neuroscience and 2 papers in Human-Computer Interaction. Recurrent topics in Chien-Tung Lin's work include Optimal Power Flow Distribution (6 papers), Power System Optimization and Stability (4 papers) and Smart Grid Energy Management (3 papers). Chien-Tung Lin is often cited by papers focused on Optimal Power Flow Distribution (6 papers), Power System Optimization and Stability (4 papers) and Smart Grid Energy Management (3 papers). Chien-Tung Lin collaborates with scholars based in Taiwan, Japan and United States. Chien-Tung Lin's co-authors include Ching‐Tzong Su, Chih‐Ling Huang, G.L. Viviani, Ying‐Yi Hong and Tankut Yalçinöz and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Power Systems and IEEE Transactions on Power Delivery.

In The Last Decade

Chien-Tung Lin

10 papers receiving 344 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Chien-Tung Lin Taiwan 6 359 104 46 28 24 12 375
Boris Pavez-Lazo Chile 5 295 0.8× 81 0.8× 18 0.4× 6 0.2× 31 1.3× 10 327
K. T. Chaturvedi India 5 433 1.2× 120 1.2× 51 1.1× 15 0.5× 19 0.8× 13 460
Young Moon Park South Korea 6 260 0.7× 185 1.8× 27 0.6× 5 0.2× 34 1.4× 10 298
Panayiotis Demetriou Cyprus 8 320 0.9× 211 2.0× 8 0.2× 20 0.7× 26 1.1× 15 345
N.I. Deeb United States 8 440 1.2× 161 1.5× 16 0.3× 26 0.9× 42 1.8× 11 456
Y. Harmand France 6 330 0.9× 225 2.2× 7 0.2× 19 0.7× 47 2.0× 6 351
R.J. O'Keefe United States 6 290 0.8× 193 1.9× 25 0.5× 6 0.2× 82 3.4× 6 316
Savu C. Savulescu United States 9 262 0.7× 172 1.7× 16 0.3× 5 0.2× 62 2.6× 22 282
Bibhu Prasad Padhy India 9 292 0.8× 216 2.1× 16 0.3× 15 0.5× 6 0.3× 26 321
Magesh Paramasivam United States 8 388 1.1× 233 2.2× 21 0.5× 29 1.0× 81 3.4× 9 394

Countries citing papers authored by Chien-Tung Lin

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Chien-Tung Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Chien-Tung Lin. A scholar is included among the top collaborators of Chien-Tung Lin 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 Chien-Tung Lin. Chien-Tung Lin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
2.
Lin, Chien-Tung, et al.. (2021). NeuroPhyllotaxis: An Interactive Application for Generative Art Based on EEG Data. Proceedings of International Conference on Artificial Life and Robotics. 26. 724–727.
3.
Lin, Chien-Tung, et al.. (2021). Development of EEG Data-driven Generative Art Application for Real-time and Dynamic Interaction. SHILAP Revista de lepidopterología. 8(2). 117–117. 2 indexed citations
4.
Su, Ching‐Tzong & Chien-Tung Lin. (2002). Fuzzy-based voltage/reactive power scheduling for voltage security improvement and loss reduction. 1. 48–53. 1 indexed citations
5.
Su, Ching‐Tzong & Chien-Tung Lin. (2001). Fuzzy-based voltage/reactive power scheduling for voltage security improvement and loss reduction. IEEE Transactions on Power Delivery. 16(2). 319–323. 26 indexed citations
6.
Su, Ching‐Tzong & Chien-Tung Lin. (2000). New approach with a Hopfield modeling framework to economic dispatch. IEEE Transactions on Power Systems. 15(2). 541–545. 179 indexed citations
7.
Yalçinöz, Tankut, Ching‐Tzong Su, & Chien-Tung Lin. (2000). Discussion of "New approach with a Hopfield modeling framework to economic dispatch" [and reply]. IEEE Transactions on Power Systems. 15(4). 1449–1450. 1 indexed citations
8.
Su, Ching‐Tzong & Chien-Tung Lin. (1996). A new fuzzy control approach to voltage profile enhancement for power systems. IEEE Transactions on Power Systems. 11(3). 1654–1659. 35 indexed citations
9.
Su, Ching‐Tzong & Chien-Tung Lin. (1995). Application of a neural network and heuristic model for voltage-reactive power control. Electric Power Systems Research. 34(3). 143–148. 10 indexed citations
10.
Lin, Chien-Tung, et al.. (1992). A direct Newton-Raphson economic dispatch. IEEE Transactions on Power Systems. 7(3). 1149–1154. 93 indexed citations
11.
Lin, Chien-Tung, et al.. (1987). Real-time economic dispatch — A fast base-case approach. Electric Power Systems Research. 12(3). 167–173. 1 indexed citations
12.
Lin, Chien-Tung & G.L. Viviani. (1984). Hierarchical Economic Dispatch for Piecewise Quadratic Cost Functions. IEEE Power Engineering Review. PER-4(6). 27–27. 27 indexed citations

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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2026