Chia‐Chi Chu

5.1k total citations · 1 hit paper
234 papers, 3.9k citations indexed

About

Chia‐Chi Chu is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Energy Engineering and Power Technology. According to data from OpenAlex, Chia‐Chi Chu has authored 234 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 175 papers in Electrical and Electronic Engineering, 107 papers in Control and Systems Engineering and 31 papers in Energy Engineering and Power Technology. Recurrent topics in Chia‐Chi Chu's work include Microgrid Control and Optimization (75 papers), Power System Optimization and Stability (63 papers) and Optimal Power Flow Distribution (35 papers). Chia‐Chi Chu is often cited by papers focused on Microgrid Control and Optimization (75 papers), Power System Optimization and Stability (63 papers) and Optimal Power Flow Distribution (35 papers). Chia‐Chi Chu collaborates with scholars based in Taiwan, United States and Australia. Chia‐Chi Chu's co-authors include Lin-Yu Lu, Po-Tai Cheng, Chia-Tse Lee, Jian‐Hong Liu, G. Cauley, Ching‐Tsai Pan, Hsiao-Dong Chiang, Herbert Ho‐Ching Iu, T. J. Henneberry and Wu‐Shiung Feng and has published in prestigious journals such as Proceedings of the IEEE, IEEE Transactions on Industrial Electronics and Applied Energy.

In The Last Decade

Chia‐Chi Chu

223 papers receiving 3.7k citations

Hit Papers

A New Droop Control Method for the Autonomous Operation o... 2012 2026 2016 2021 2012 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chia‐Chi Chu Taiwan 31 2.7k 2.1k 410 365 350 234 3.9k
Jaime A. Moreno Mexico 36 1.2k 0.4× 6.6k 3.2× 25 0.1× 35 0.1× 299 0.9× 332 8.0k
Xiaorong Xie China 42 6.1k 2.2× 5.0k 2.4× 23 0.1× 1.3k 3.6× 109 0.3× 257 6.8k
Yaduvir Singh India 11 694 0.3× 1.1k 0.5× 36 0.1× 37 0.1× 45 0.1× 42 2.1k
Peter M. Young United States 24 278 0.1× 1.4k 0.7× 55 0.1× 48 0.1× 64 0.2× 87 2.0k
Victor Sreeram Australia 32 2.1k 0.8× 2.4k 1.2× 12 0.0× 157 0.4× 49 0.1× 284 5.1k
Riccardo Caponetto Italy 25 564 0.2× 1.4k 0.7× 62 0.2× 15 0.0× 42 0.1× 130 3.2k
S. Janardhanan India 19 700 0.3× 2.2k 1.1× 17 0.0× 24 0.1× 43 0.1× 113 3.1k
Naveed Ishtiaq Chaudhary Pakistan 32 478 0.2× 1.2k 0.6× 21 0.1× 29 0.1× 38 0.1× 121 2.7k
Luigi Iannelli Italy 23 514 0.2× 839 0.4× 99 0.2× 12 0.0× 14 0.0× 97 1.7k

Countries citing papers authored by Chia‐Chi Chu

Since Specialization
Citations

This map shows the geographic impact of Chia‐Chi Chu'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 Chia‐Chi Chu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chia‐Chi Chu more than expected).

Fields of papers citing papers by Chia‐Chi Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chia‐Chi Chu. 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 Chia‐Chi Chu. The network helps show where Chia‐Chi Chu may publish in the future.

Co-authorship network of co-authors of Chia‐Chi Chu

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

All Works

20 of 20 papers shown
1.
Gan, Wei, et al.. (2024). Cooperative V2G-enabled vehicle-to-vehicle sharing in energy and reserve markets: A coalitional approach. Applied Energy. 376. 124311–124311. 7 indexed citations
3.
Chu, Chia‐Chi, et al.. (2024). Validation and clinical implications of higher intercostal space electrocardiography in the patient with Brugada syndrome in Taiwan (SADS-TW BrS registry). Journal of the Formosan Medical Association. 124(6). 508–513. 1 indexed citations
4.
Jiang, Lin, et al.. (2024). Design of Data Distributed Service-Based Distributed Co-Simulation Platform of Power Systems. IEEE Transactions on Industry Applications. 60(6). 8115–8127.
6.
Liu, Jian‐Hong, et al.. (2023). A Two-Stage Data-Driven Method for Estimating the System Inertia Utilizing Event-Driven PMU Measurements. IEEE Transactions on Industry Applications. 59(5). 5243–5256. 8 indexed citations
7.
Chu, Chia‐Chi, et al.. (2023). Distributed Actor-Critic Approach for Frequency Synchronization of Isolated AC Microgrids. 64. 1–8. 1 indexed citations
8.
Chu, Chia‐Chi, et al.. (2023). A Modified MDSC based Phasor Estimation Technique for Power System Protection. 1–6. 1 indexed citations
10.
Su, Heng-Yi, et al.. (2021). Developing an Optimal Scheduling of Taiwan Power System With Highly Penetrated Renewable Energy Resources and Pumped Hydro Storages. IEEE Transactions on Industry Applications. 57(3). 1973–1986. 17 indexed citations
11.
Shi, Donghan, Pengfeng Lin, Yu Wang, et al.. (2021). Deception Attack Detection of Isolated DC Microgrids Under Consensus- Based Distributed Voltage Control Architecture. IEEE Journal on Emerging and Selected Topics in Circuits and Systems. 11(1). 155–167. 31 indexed citations
12.
Chen, Yi-Shin, et al.. (2017). Improved practices in machine learning algorithms for NTL detection with imbalanced data. 1–5. 38 indexed citations
13.
Cole, Ivan, et al.. (2013). Multi-scale modeling of materials: a basis for computational design. Piantadosi, J., Anderssen, R.S. and Boland J. (eds) MODSIM2013, 20th International Congress on Modelling and Simulation. 3 indexed citations
14.
Chu, Chia‐Chi, et al.. (2006). Attractiveness of flickering and non-flickering cool white fluorescent light to Culex quinquefasciatus (Diptera: Culicidae), Musca domestica (Diptera: Muscidae) and Pectinophora gossypiella (Lepidoptera: Gelechiidae) adults, and Acheta domesticus (Orthoptera: Gryllidae) and Periplaneta americana (Blattodea: Blattidae) nymphs. Southwestern Entomologist. 7 indexed citations
15.
Chu, Chia‐Chi, et al.. (2004). Adult whiteflies (Homoptera: Aleyrodidae), and whitefly parasitoids (Hymenoptera: Aphelinidae) response to cool white fluorescent light powered by alternating or direct current. Southwestern Entomologist. 3 indexed citations
16.
Chu, Chia‐Chi, et al.. (2004). An adaptive-order rational Arnoldi method for model-order reductions of linear time-invariant systems. Linear Algebra and its Applications. 415(2-3). 235–261. 35 indexed citations
17.
Chu, Chia‐Chi, et al.. (2003). Moment Computations of Lumped Coupled RLC Trees with Applications to Estimating Crosstalk Noise. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. 86(12). 2952–2964. 4 indexed citations
18.
Chu, Chia‐Chi, Eric T. Natwick, & T. J. Henneberry. (2000). Silverleaf Whitefly - Trichome Density Relationships on Selected Upland Cotton Cultivars. Cotton: A College of Agriculture Report. 55. 16–20. 1 indexed citations
19.
Chu, Chia‐Chi, Thomas P. Freeman, James S. Buckner, et al.. (2000). Silverleaf whitefly colonization and trichome density relationships on upland cotton cultivars.. Southwestern Entomologist. 25(4). 237–242. 8 indexed citations
20.
Chu, Chia‐Chi & T. J. Henneberry. (1990). Pink bollworm seasonal distribution, yearly variation, and male moth trap catch relationships to population increases in cotton.. Southwestern Entomologist. 15(3). 273–280. 3 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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