Y.-R. Chang

507 total citations
22 papers, 425 citations indexed

About

Y.-R. Chang is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Automotive Engineering. According to data from OpenAlex, Y.-R. Chang has authored 22 papers receiving a total of 425 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Electrical and Electronic Engineering, 14 papers in Control and Systems Engineering and 4 papers in Automotive Engineering. Recurrent topics in Y.-R. Chang's work include Microgrid Control and Optimization (13 papers), Islanding Detection in Power Systems (6 papers) and Advanced DC-DC Converters (6 papers). Y.-R. Chang is often cited by papers focused on Microgrid Control and Optimization (13 papers), Islanding Detection in Power Systems (6 papers) and Advanced DC-DC Converters (6 papers). Y.-R. Chang collaborates with scholars based in Taiwan, China and Indonesia. Y.-R. Chang's co-authors include G. W. Chang, H. J. Lu, Chung‐Yung Lin, Rong‐Jong Wai, Kuo Lung Lian, C. Liu, T. Luo, Yen‐Wen Chen, Yaow-Ming Chen and Weiwei Huo and has published in prestigious journals such as Renewable Energy, Journal of Energy Storage and IET Electric Power Applications.

In The Last Decade

Y.-R. Chang

20 papers receiving 419 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Y.-R. Chang Taiwan 8 385 147 98 81 44 22 425
Mohamad Fathi Mohamad Elias Malaysia 9 465 1.2× 235 1.6× 62 0.6× 93 1.1× 50 1.1× 25 527
Shuai Hu China 8 318 0.8× 86 0.6× 82 0.8× 35 0.4× 40 0.9× 12 354
Ceyhun Yıldız Türkiye 13 446 1.2× 108 0.7× 214 2.2× 90 1.1× 17 0.4× 34 527
Junhui Huang China 11 629 1.6× 182 1.2× 74 0.8× 40 0.5× 52 1.2× 34 679
Qianyao Xu China 8 368 1.0× 91 0.6× 70 0.7× 41 0.5× 17 0.4× 14 398
Jan Dobschinski Germany 10 644 1.7× 121 0.8× 100 1.0× 44 0.5× 16 0.4× 16 717
Hamed Valizadeh Haghi United States 13 421 1.1× 144 1.0× 39 0.4× 39 0.5× 50 1.1× 28 467
Emrah Dokur Türkiye 12 287 0.7× 47 0.3× 94 1.0× 60 0.7× 89 2.0× 43 374
Zexian Sun China 7 304 0.8× 78 0.5× 123 1.3× 44 0.5× 12 0.3× 8 374

Countries citing papers authored by Y.-R. Chang

Since Specialization
Citations

This map shows the geographic impact of Y.-R. Chang'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 Y.-R. Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Y.-R. Chang more than expected).

Fields of papers citing papers by Y.-R. Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Y.-R. Chang. 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 Y.-R. Chang. The network helps show where Y.-R. Chang may publish in the future.

Co-authorship network of co-authors of Y.-R. Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Y.-R. Chang. A scholar is included among the top collaborators of Y.-R. Chang 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 Y.-R. Chang. Y.-R. Chang 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.
Huo, Weiwei, Y.-R. Chang, T. Luo, et al.. (2025). Integrating particle swarm optimization with convolutional and long short-term memory neural networks for real vehicle data-based lithium-ion battery health estimation. Journal of Energy Storage. 111. 115427–115427. 11 indexed citations
2.
Chang, G. W., et al.. (2018). A Study on Control Strategy of PV inverter for Harmonic Mitigation in A Microgrid. 1–5. 6 indexed citations
3.
Chang, G. W., et al.. (2016). An improved neural network-based approach for short-term wind speed and power forecast. Renewable Energy. 105. 301–311. 209 indexed citations
4.
6.
7.
Wu, Tsai‐Fu, et al.. (2015). SPWM-based D-Σ Digital control for paralleled 3-φ grid-connected inverters. 3. 6818–6824. 1 indexed citations
8.
Chang, G. W., et al.. (2015). A study of passive harmonic filter planning for an AC microgrid. 1–4. 7 indexed citations
9.
Lian, Kuo Lung, et al.. (2014). Quantum neural network for State of Charge estimation. 1–5. 3 indexed citations
10.
Chang, G. W., et al.. (2014). Modelling and simulation for INER AC microgrid control. 1–5. 3 indexed citations
11.
Lian, Kuo Lung, et al.. (2014). A battery management system for a small microgrid system. 65. 1–6. 4 indexed citations
12.
Liu, Chih‐Wen, et al.. (2013). The current control of PV inverter for three-phase unbalanced fault with Lagrange multiplier. 510–514. 3 indexed citations
13.
Wu, Tsai‐Fu, et al.. (2013). Load impedance estimation and iterative-learning control for a three-phase four-wire inverter. 4. 1275–1281. 5 indexed citations
14.
Chang, G. W., et al.. (2013). Development of power quality analysis platform for INER Microgrid. 1–5. 5 indexed citations
15.
Tang, Cheng-Yu, et al.. (2013). An active power conditioner with a multi-mode power control strategy for a microgrid. 93–97. 5 indexed citations
16.
Lian, Kuo Lung, et al.. (2013). Robust microgrid power flow using particle swarm optimization. 24. 1–6. 14 indexed citations
18.
Wu, Tsai‐Fu, et al.. (2011). Current improvement for a 3 ⊘ bi-directional inverter with wide inductance variation. 25. 1777–1784. 1 indexed citations
19.
Wai, Rong‐Jong, et al.. (2007). High-efficiency single-stage bidirectional converter with multi-input power sources. IET Electric Power Applications. 1(5). 763–777. 22 indexed citations
20.
Wai, Rong‐Jong, Chung‐Yung Lin, & Y.-R. Chang. (2007). Novel maximum-power-extraction algorithm for PMSG wind generation system. IET Electric Power Applications. 1(2). 275–283. 94 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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