Chin-Chang Yang

567 total citations
8 papers, 446 citations indexed

About

Chin-Chang Yang is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Chin-Chang Yang has authored 8 papers receiving a total of 446 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 5 papers in Computational Theory and Mathematics and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Chin-Chang Yang's work include Metaheuristic Optimization Algorithms Research (5 papers), Advanced Multi-Objective Optimization Algorithms (5 papers) and Evolutionary Algorithms and Applications (5 papers). Chin-Chang Yang is often cited by papers focused on Metaheuristic Optimization Algorithms Research (5 papers), Advanced Multi-Objective Optimization Algorithms (5 papers) and Evolutionary Algorithms and Applications (5 papers). Chin-Chang Yang collaborates with scholars based in Taiwan. Chin-Chang Yang's co-authors include Shu‐Mei Guo, J.S.H. Tsai and Jason Sheng‐Hong Tsai and has published in prestigious journals such as Expert Systems with Applications, IEEE Transactions on Cybernetics and IEEE Transactions on Evolutionary Computation.

In The Last Decade

Chin-Chang Yang

7 papers receiving 443 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chin-Chang Yang Taiwan 4 374 272 37 29 29 8 446
Shakhnaz Akhmedova Russia 9 351 0.9× 227 0.8× 30 0.8× 39 1.3× 18 0.6× 40 423
Borhan Kazimipour Australia 8 380 1.0× 286 1.1× 32 0.9× 30 1.0× 22 0.8× 13 476
Radka Poláková Czechia 12 407 1.1× 314 1.2× 29 0.8× 23 0.8× 22 0.8× 23 465
Antonio Bolufé-Röhler Canada 10 238 0.6× 169 0.6× 32 0.9× 26 0.9× 24 0.8× 30 342
Jie Tian China 8 236 0.6× 199 0.7× 28 0.8× 30 1.0× 20 0.7× 15 338
Zefeng Chen China 12 252 0.7× 230 0.8× 20 0.5× 31 1.1× 25 0.9× 28 361
Amitay Isaacs Australia 10 280 0.7× 306 1.1× 19 0.5× 52 1.8× 15 0.5× 22 414
Raffaele Mascella Italy 8 206 0.6× 100 0.4× 42 1.1× 44 1.5× 36 1.2× 18 303
Rawaa Dawoud Al-Dabbagh Iraq 6 178 0.5× 119 0.4× 28 0.8× 45 1.6× 16 0.6× 15 299
Tomáš Kadavý Czechia 8 209 0.6× 122 0.4× 22 0.6× 31 1.1× 19 0.7× 49 278

Countries citing papers authored by Chin-Chang Yang

Since Specialization
Citations

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

Fields of papers citing papers by Chin-Chang Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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

All Works

8 of 8 papers shown
1.
2.
Yang, Chin-Chang, et al.. (2022). Investigating the effects of pre-deformation and aging conditions on mechanical properties and SCC resistance of aluminium alloy 7075 via slow strain rate testing and electrochemical polarisation. Corrosion Engineering Science and Technology The International Journal of Corrosion Processes and Corrosion Control. 57(8). 774–788. 2 indexed citations
3.
Yang, Chin-Chang, Shu‐Mei Guo, & Jason Sheng‐Hong Tsai. (2016). Evolutionary Fuzzy Block-Matching-Based Camera Raw Image Denoising. IEEE Transactions on Cybernetics. 47(9). 2862–2871. 3 indexed citations
4.
5.
Guo, Shu‐Mei, et al.. (2015). Constrained min–max optimization via the improved constraint-activated differential evolution with escape vectors. Expert Systems with Applications. 46. 336–345. 3 indexed citations
6.
Guo, Shu‐Mei, et al.. (2014). Constraint-activated differential evolution for constrained min–max optimization problems: Theory and methodology. Expert Systems with Applications. 42(3). 1626–1636. 3 indexed citations
7.
Guo, Shu‐Mei & Chin-Chang Yang. (2014). Enhancing Differential Evolution Utilizing Eigenvector-Based Crossover Operator. IEEE Transactions on Evolutionary Computation. 19(1). 31–49. 191 indexed citations
8.
Guo, Shu‐Mei, et al.. (2014). Improving Differential Evolution With a Successful-Parent-Selecting Framework. IEEE Transactions on Evolutionary Computation. 19(5). 717–730. 134 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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2026