Kuo-Hao Chang

122 total papers · 2.7k total citations
82 papers, 1.4k citations indexed

About

Kuo-Hao Chang is a scholar working on Industrial and Manufacturing Engineering, Management Science and Operations Research and Computational Theory and Mathematics. According to data from OpenAlex, Kuo-Hao Chang has authored 82 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Industrial and Manufacturing Engineering, 20 papers in Management Science and Operations Research and 15 papers in Computational Theory and Mathematics. Recurrent topics in Kuo-Hao Chang's work include Simulation Techniques and Applications (18 papers), Advanced Multi-Objective Optimization Algorithms (15 papers) and Scheduling and Optimization Algorithms (11 papers). Kuo-Hao Chang is often cited by papers focused on Simulation Techniques and Applications (18 papers), Advanced Multi-Objective Optimization Algorithms (15 papers) and Scheduling and Optimization Algorithms (11 papers). Kuo-Hao Chang collaborates with scholars based in Taiwan, United States and China. Kuo-Hao Chang's co-authors include Chen–Fu Chien, Patrick J. Flynn, Kevin W. Bowyer, Chang-Yun Lu, Kostya S. Novoselov, Alexander A. Balandin, Hoda Malekpour, Denis L. Nika, L. Jeff Hong and Hong Wan and has published in prestigious journals such as Nano Letters, IEEE Transactions on Automatic Control and European Journal of Operational Research.

In The Last Decade

Kuo-Hao Chang

74 papers receiving 1.4k citations

Author Peers

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

Author Last Decade Papers Cites
Kuo-Hao Chang 372 247 230 184 179 82 1.4k
An Zhang 277 0.7× 80 0.3× 185 0.8× 140 0.8× 103 0.6× 154 1.3k
Adrian A. Hopgood 156 0.4× 79 0.3× 148 0.6× 81 0.4× 92 0.5× 85 1.4k
Reza Akbari 181 0.5× 72 0.3× 273 1.2× 95 0.5× 170 0.9× 82 1.4k
Fang Li 107 0.3× 79 0.3× 206 0.9× 207 1.1× 50 0.3× 96 1.1k
Hideki Aoyama 330 0.9× 117 0.5× 257 1.1× 83 0.5× 191 1.1× 147 1.5k
Roberto Zanetti Freire 79 0.2× 72 0.3× 357 1.6× 166 0.9× 91 0.5× 64 1.3k
Ying Han 133 0.4× 92 0.4× 134 0.6× 253 1.4× 57 0.3× 107 1.4k
Wenjie Wang 217 0.6× 165 0.7× 449 2.0× 22 0.1× 204 1.1× 79 1.7k
Sunil Gupta 60 0.2× 151 0.6× 110 0.5× 119 0.6× 117 0.7× 67 1.2k
Fan Lin 67 0.2× 158 0.6× 497 2.2× 174 0.9× 114 0.6× 124 1.8k

Countries citing papers authored by Kuo-Hao Chang

Since Specialization
Citations

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

Fields of papers citing papers by Kuo-Hao Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kuo-Hao Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Kuo-Hao Chang. A scholar is included among the top collaborators of Kuo-Hao 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 Kuo-Hao Chang. Kuo-Hao 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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2026