Chin-Yao Chang

77 total papers · 1.1k total citations
44 papers, 765 citations indexed

About

Chin-Yao Chang is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Computer Networks and Communications. According to data from OpenAlex, Chin-Yao Chang has authored 44 papers receiving a total of 765 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Electrical and Electronic Engineering, 22 papers in Control and Systems Engineering and 8 papers in Computer Networks and Communications. Recurrent topics in Chin-Yao Chang's work include Smart Grid Energy Management (18 papers), Microgrid Control and Optimization (13 papers) and Optimal Power Flow Distribution (11 papers). Chin-Yao Chang is often cited by papers focused on Smart Grid Energy Management (18 papers), Microgrid Control and Optimization (13 papers) and Optimal Power Flow Distribution (11 papers). Chin-Yao Chang collaborates with scholars based in United States, Taiwan and Hong Kong. Chin-Yao Chang's co-authors include Wei Zhang, Jianming Lian, Karanjit Kalsi, Andrey Bernstein, Emiliano Dall’Anese, Jorge Cortés, Stefanos Baros, Xinyang Zhou, Jennifer King and Giorgio Rizzoni and has published in prestigious journals such as Journal of Power Sources, Automatica and Applied Energy.

In The Last Decade

Chin-Yao Chang

43 papers receiving 744 citations

Hit Papers

Aggregated Modeling and C... 2013 2026 2017 2021 2013 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Chin-Yao Chang 639 411 141 105 53 44 765
Xin Chen 595 0.9× 344 0.8× 32 0.2× 26 0.2× 44 0.8× 30 765
Aditya Mishra 608 1.0× 329 0.8× 93 0.7× 51 0.5× 60 1.1× 35 768
Zening Li 691 1.1× 215 0.5× 101 0.7× 103 1.0× 90 1.7× 56 900
Bin Wang 553 0.9× 206 0.5× 17 0.1× 32 0.3× 31 0.6× 70 682
Ziming Zhu 639 1.0× 272 0.7× 82 0.6× 110 1.0× 69 1.3× 38 763
Francisco Javier Jiménez Leube 657 1.0× 279 0.7× 186 1.3× 182 1.7× 97 1.8× 24 769
Wolfgang Gawlik 476 0.7× 340 0.8× 35 0.2× 57 0.5× 46 0.9× 57 634
Won Cheol Lee 633 1.0× 306 0.7× 153 1.1× 156 1.5× 23 0.4× 57 747
B. Abdi 598 0.9× 260 0.6× 21 0.1× 60 0.6× 103 1.9× 70 713
Bo Cao 522 0.8× 266 0.6× 57 0.4× 62 0.6× 65 1.2× 74 743

Countries citing papers authored by Chin-Yao Chang

Since Specialization
Citations

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

Fields of papers citing papers by Chin-Yao Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chin-Yao Chang

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

All Works

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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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