Ching‐Kao Chang
- Mechanical Engineering top 10%
- Electrical and Electronic Engineering
- Industrial and Manufacturing Engineering top 5%
- Biomedical Engineering
- Materials Chemistry
- Co-authors
- Shu-Han JuangY.S. TarngHung‐Ching LuJyh‐Horng ChouMei‐Ling HuangTung-Te ChuYung‐Hsiang HungChiu‐Yue Lin
- Topics
- Manufacturing Process and Optimization (3 papers)Scheduling and Optimization Algorithms (2 papers)Advanced machining processes and optimization (2 papers)
- Cited by
- Industrial and Manufacturing EngineeringMechanical EngineeringElectrical and Electronic Engineering
In The Last Decade
Ching‐Kao Chang
9 papers receiving 321 citations
Peers
Comparison fields: 5 of 61
- Mechanical Engineering 265
- Electrical and Electronic Engineering 138
- Industrial and Manufacturing Engineering 79
- Biomedical Engineering 61
- Materials Chemistry 38
Countries citing papers authored by Ching‐Kao Chang
This map shows the geographic impact of Ching‐Kao 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 Ching‐Kao Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ching‐Kao Chang more than expected).
Fields of papers citing papers by Ching‐Kao Chang
This network shows the impact of papers produced by Ching‐Kao 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 Ching‐Kao Chang. The network helps show where Ching‐Kao Chang may publish in the future.
Co-authorship network of co-authors of Ching‐Kao Chang
This figure shows the co-authorship network connecting the top 25 collaborators of Ching‐Kao Chang. A scholar is included among the top collaborators of Ching‐Kao 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 Ching‐Kao Chang. Ching‐Kao Chang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | Hybrid Taguchi-based genetic algorithm for flowshop scheduling problem | 5 |
| 3 | 5 | |
| 4 | Using Generalized Stochastic Petri Nets for Preventive Maintenance Optimization in Automated Manufacturing Systems | 2 |
| 5 | 6 | |
| 6 | 6 | |
| 7 | 76 | |
| 8 | 6 | |
| 9 | 259 |
About Ching‐Kao Chang
Ching‐Kao Chang is a scholar working on Medical Laboratory Technology, Industrial and Manufacturing Engineering and Safety, Risk, Reliability and Quality, having authored 9 papers that have together received 366 indexed citations. Recurring topics across this work include Manufacturing Process and Optimization (3 papers), Scheduling and Optimization Algorithms (2 papers) and Advanced machining processes and optimization (2 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (79 citations), Mechanical Engineering (265 citations) and Electrical and Electronic Engineering (138 citations). Ching‐Kao Chang has collaborated with scholars based in Taiwan and Malaysia. Frequent co-authors include Shu-Han Juang, Y.S. Tarng, Hung‐Ching Lu, Jyh‐Horng Chou, Mei‐Ling Huang, Tung-Te Chu, Yung‐Hsiang Hung, Chiu‐Yue Lin, Chyi–How Lay and Peer Mohamed Abdul. Their work appears in journals such as Journal of Materials Processing Technology, Energies and The International Journal of Advanced Manufacturing Technology.
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.