Wen-Yeau Chang

1.5k total citations · 1 hit paper
28 papers, 1.1k citations indexed

About

Wen-Yeau Chang is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Control and Systems Engineering. According to data from OpenAlex, Wen-Yeau Chang has authored 28 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Electrical and Electronic Engineering, 10 papers in Materials Chemistry and 8 papers in Control and Systems Engineering. Recurrent topics in Wen-Yeau Chang's work include High voltage insulation and dielectric phenomena (10 papers), Energy Load and Power Forecasting (8 papers) and Power Transformer Diagnostics and Insulation (8 papers). Wen-Yeau Chang is often cited by papers focused on High voltage insulation and dielectric phenomena (10 papers), Energy Load and Power Forecasting (8 papers) and Power Transformer Diagnostics and Insulation (8 papers). Wen-Yeau Chang collaborates with scholars based in Taiwan and United States. Wen-Yeau Chang's co-authors include Hong‐Tzer Yang, Ching‐Lien Huang and Chiung-Chou Liao and has published in prestigious journals such as IEEE Transactions on Power Systems, IEEE Transactions on Power Delivery and Energies.

In The Last Decade

Wen-Yeau Chang

27 papers receiving 1.1k citations

Hit Papers

The State of Charge Estim... 2013 2026 2017 2021 2013 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. The State of Charge Estimating Methods for Battery: A Review
    2013 448 citations Wen-Yeau Chang profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wen-Yeau Chang Taiwan 12 950 515 315 179 106 28 1.1k
A. Llombart Spain 10 1.9k 2.0× 626 1.2× 192 0.6× 107 0.6× 164 1.5× 29 2.0k
Stanislav Mišák Czechia 19 1.0k 1.1× 366 0.7× 364 1.2× 183 1.0× 24 0.2× 127 1.3k
Carolina M. Affonso Brazil 17 1.2k 1.2× 134 0.3× 607 1.9× 136 0.8× 60 0.6× 56 1.3k
Pasquale De Falco Italy 18 778 0.8× 251 0.5× 130 0.4× 226 1.3× 52 0.5× 62 945
Donghan Feng China 17 713 0.8× 233 0.5× 230 0.7× 37 0.2× 61 0.6× 94 859
Peng Kou China 21 1.2k 1.3× 149 0.3× 783 2.5× 117 0.7× 96 0.9× 74 1.4k
Jianwu Zeng United States 15 1.2k 1.3× 332 0.6× 522 1.7× 348 1.9× 67 0.6× 58 1.5k
Jilai Yu China 17 982 1.0× 201 0.4× 421 1.3× 55 0.3× 51 0.5× 137 1.1k
Aaron M. Cramer United States 16 529 0.6× 139 0.3× 361 1.1× 34 0.2× 79 0.7× 69 722

Countries citing papers authored by Wen-Yeau Chang

Since Specialization
Citations

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

Fields of papers citing papers by Wen-Yeau Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wen-Yeau Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Wen-Yeau Chang. A scholar is included among the top collaborators of Wen-Yeau 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 Wen-Yeau Chang. Wen-Yeau 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.
Chang, Wen-Yeau, et al.. (2017). Application of Radial Basis Function Neural Network, to Estimate the State of Health for LFP Battery. SSRN Electronic Journal. 9 indexed citations
2.
Chang, Wen-Yeau, et al.. (2017). Short-term Load Forecasting Using the Adaptive Network-based Fuzzy Inference System. 7(4). 21–28. 1 indexed citations
3.
Chang, Wen-Yeau, et al.. (2015). Short Term Wind Power Generation Forecasting Using Adaptive Network-Based Fuzzy Inference System. 1299–1302. 4 indexed citations
4.
Chang, Wen-Yeau. (2015). Short-Term Load Forecasting Using Radial Basis Function Neural Network. Journal of Computer and Communications. 3(11). 40–45. 19 indexed citations
5.
Chang, Wen-Yeau. (2014). Partial Discharge Pattern Recognition of Cast Resin Current Transformers Using Radial Basis Function Neural Network. Journal of Electrical Engineering and Technology. 9(1). 293–300. 6 indexed citations
6.
Chang, Wen-Yeau. (2014). A Literature Review of Wind Forecasting Methods. Journal of Power and Energy Engineering. 2(4). 161–168. 225 indexed citations
7.
Chang, Wen-Yeau. (2013). Short-Term Wind Power Forecasting Using the Enhanced Particle Swarm Optimization Based Hybrid Method. Energies. 6(9). 4879–4896. 47 indexed citations
8.
Chang, Wen-Yeau. (2013). Estimation of the state of charge for a LFP battery using a hybrid method that combines a RBF neural network, an OLS algorithm and AGA. International Journal of Electrical Power & Energy Systems. 53. 603–611. 84 indexed citations
9.
Chang, Wen-Yeau. (2013). Application of Back Propagation Neural Network for Wind Power Generation Forecasting. International Journal of Digital Content Technology and its Applications. 7(4). 502–509. 19 indexed citations
10.
Chang, Wen-Yeau. (2010). Partial Discharge Pattern Recognition Using Radial Basis Function Neural Network. 1–4. 8 indexed citations
11.
Chang, Wen-Yeau. (2009). Application of current switching method to estimate the model parameters of proton exchange membrane fuel cell. Simulation Modelling Practice and Theory. 18(1). 35–50. 9 indexed citations
12.
13.
Chang, Wen-Yeau & Hong‐Tzer Yang. (2008). Application of self organizing map approach to partial discharge pattern recognition of cast-resin current transformers. 3(3). 142–151. 5 indexed citations
14.
Chang, Wen-Yeau, et al.. (2008). Time Domain Detection of Partial Discharge in Current Transformer. 361–364. 2 indexed citations
15.
Chang, Wen-Yeau & Hong‐Tzer Yang. (2008). Partial discharge pattern recognition of cast-resin current transformers using fuzzy C-means clustering approach. 3(3). 172–181. 1 indexed citations
16.
Chang, Wen-Yeau, et al.. (2007). RF detection of partial discharge in current transformer. International Power Engineering Conference. 193–196. 1 indexed citations
17.
Chang, Wen-Yeau & Hong‐Tzer Yang. (2006). Partial Discharge Pattern Recognition of Molded Type Transformers Using Self Organizing Map. 151. 246–249. 5 indexed citations
18.
19.
Yang, Hong‐Tzer, Wen-Yeau Chang, & Ching‐Lien Huang. (1995). Power system distributed on-line fault section estimation using decision tree based neural nets approach. IEEE Transactions on Power Delivery. 10(1). 540–546. 26 indexed citations
20.
Yang, Hong‐Tzer, Wen-Yeau Chang, & Ching‐Lien Huang. (1995). On-line fault diagnosis of power substation using connectionist expert system. IEEE Transactions on Power Systems. 10(1). 323–331. 34 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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