Ching‐Kao Chang

456 total citations
9 papers, 366 citations indexed

About

Ching‐Kao Chang is a scholar working on Industrial and Manufacturing Engineering, Safety, Risk, Reliability and Quality and Artificial Intelligence. According to data from OpenAlex, Ching‐Kao Chang has authored 9 papers receiving a total of 366 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Industrial and Manufacturing Engineering, 2 papers in Safety, Risk, Reliability and Quality and 2 papers in Artificial Intelligence. Recurrent topics in Ching‐Kao Chang's work include Manufacturing Process and Optimization (3 papers), Scheduling and Optimization Algorithms (2 papers) and Advanced machining processes and optimization (2 papers). Ching‐Kao Chang is often cited by papers focused on Manufacturing Process and Optimization (3 papers), Scheduling and Optimization Algorithms (2 papers) and Advanced machining processes and optimization (2 papers). Ching‐Kao Chang collaborates with scholars based in Taiwan and Malaysia. Ching‐Kao Chang's 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 and has published in prestigious journals such as Journal of Materials Processing Technology, Energies and The International Journal of Advanced Manufacturing Technology.

In The Last Decade

Ching‐Kao Chang

9 papers receiving 321 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ching‐Kao Chang Taiwan	6	265	138	79	61	38	9	366
Katica Šimunović Croatia	12	254 1.0×	76 0.6×	83 1.1×	56 0.9×	60 1.6×	37	354
Dražen Bajić Croatia	9	273 1.0×	128 0.9×	85 1.1×	95 1.6×	29 0.8×	29	350
K.S. Wang Taiwan	9	203 0.8×	210 1.5×	64 0.8×	88 1.4×	39 1.0×	12	460
Jie‐Ren Shie Taiwan	10	230 0.9×	93 0.7×	96 1.2×	77 1.3×	24 0.6×	15	348
Manmohan Singh India	6	291 1.1×	212 1.5×	79 1.0×	112 1.8×	37 1.0×	11	388
Dragan Rodić Serbia	12	360 1.4×	226 1.6×	120 1.5×	127 2.1×	28 0.7×	44	475
Cevdet Göloğlu Türkiye	8	289 1.1×	122 0.9×	148 1.9×	96 1.6×	14 0.4×	15	385
P. Ashoka Varthanan India	11	278 1.0×	60 0.4×	48 0.6×	63 1.0×	44 1.2×	41	399
L. B. Abhang India	9	220 0.8×	168 1.2×	83 1.1×	91 1.5×	19 0.5×	27	305
Mithilesh K. Dikshit India	13	268 1.0×	150 1.1×	42 0.5×	122 2.0×	50 1.3×	41	356

Countries citing papers authored by Ching‐Kao Chang

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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9 of 9 papers shown

Abdul, Peer Mohamed, et al.. (2024). Anaerobic Biohythane Production in an Internal Two-Stage Bioreactor: Kitchen Waste Concentration Optimization. Energies. 18(1). 1–1. 1 indexed citations

Chou, Jyh‐Horng, et al.. (2013). Hybrid Taguchi-based genetic algorithm for flowshop scheduling problem. 5 indexed citations

Chou, Jyh‐Horng, et al.. (2013). Hybrid Taguchi-Based Particle Swarm Optimization for Flowshop Scheduling Problem. Arabian Journal for Science and Engineering. 39(3). 2393–2412. 5 indexed citations

Chang, Ching‐Kao, et al.. (2011). Using Generalized Stochastic Petri Nets for Preventive Maintenance Optimization in Automated Manufacturing Systems. 18(2). 117–135. 2 indexed citations

Chang, Ching‐Kao, et al.. (2011). A new EP-based α–β–γ–δ filter for target tracking. Mathematics and Computers in Simulation. 81(9). 1785–1794. 6 indexed citations

Chang, Ching‐Kao, et al.. (2010). An optimal maintenance policy based on generalized stochastic Petri nets and periodic inspection. Asian Journal of Control. 12(3). 364–376. 6 indexed citations

Chang, Ching‐Kao & Hung‐Ching Lu. (2006). Design optimization of cutting parameters for side milling operations with multiple performance characteristics. The International Journal of Advanced Manufacturing Technology. 32(1-2). 18–26. 76 indexed citations

Hung, Yung‐Hsiang, Mei‐Ling Huang, & Ching‐Kao Chang. (2005). Optimizing the controller IC for micro HDD process based on Taguchi methods. Microelectronics Reliability. 46(7). 1183–1188. 6 indexed citations

Tarng, Y.S., Shu-Han Juang, & Ching‐Kao Chang. (2002). The use of grey-based Taguchi methods to determine submerged arc welding process parameters in hardfacing. Journal of Materials Processing Technology. 128(1-3). 1–6. 259 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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