Chih‐Hua Chiao

433 total citations
9 papers, 338 citations indexed

About

Chih‐Hua Chiao is a scholar working on Management Science and Operations Research, Statistics, Probability and Uncertainty and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Chih‐Hua Chiao has authored 9 papers receiving a total of 338 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Management Science and Operations Research, 5 papers in Statistics, Probability and Uncertainty and 4 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Chih‐Hua Chiao's work include Optimal Experimental Design Methods (7 papers), Reliability and Maintenance Optimization (4 papers) and Probabilistic and Robust Engineering Design (3 papers). Chih‐Hua Chiao is often cited by papers focused on Optimal Experimental Design Methods (7 papers), Reliability and Maintenance Optimization (4 papers) and Probabilistic and Robust Engineering Design (3 papers). Chih‐Hua Chiao collaborates with scholars based in Taiwan, United States and China. Chih‐Hua Chiao's co-authors include Michael S. Hamada, Sheng‐Tsaing Tseng, Hong‐Fwu Yu, Jing‐Shiang Hwang and Ta‐Chien Chan and has published in prestigious journals such as Journal of Quality Technology, IEEE Transactions on Reliability and Microelectronics Reliability.

In The Last Decade

Chih‐Hua Chiao

9 papers receiving 316 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chih‐Hua Chiao Taiwan 7 172 169 161 118 79 9 338
Dennis Singer Hungary 5 179 1.0× 106 0.6× 155 1.0× 89 0.8× 16 0.2× 12 337
Miaomiao Yu China 12 85 0.5× 204 1.2× 57 0.4× 86 0.7× 13 0.2× 48 364
Linmin Hu China 12 117 0.7× 241 1.4× 29 0.2× 74 0.6× 14 0.2× 46 321
Chang Hoon Lie South Korea 5 116 0.7× 242 1.4× 17 0.1× 107 0.9× 10 0.1× 9 315
William Fauriat France 4 224 1.3× 73 0.4× 68 0.4× 9 0.1× 119 1.5× 8 314
Gulshan Taneja India 11 123 0.7× 271 1.6× 14 0.1× 41 0.3× 5 0.1× 51 373
Jacek Malinowski Poland 10 89 0.5× 204 1.2× 12 0.1× 39 0.3× 19 0.2× 25 377
Delia Montoro‐Cazorla Spain 14 128 0.7× 436 2.6× 48 0.3× 267 2.3× 10 0.1× 30 488
Donghoon Han United States 10 228 1.3× 184 1.1× 63 0.4× 304 2.6× 13 0.2× 13 452
D.M. Rasmuson United States 9 169 1.0× 123 0.7× 17 0.1× 28 0.2× 24 0.3× 30 289

Countries citing papers authored by Chih‐Hua Chiao

Since Specialization
Citations

This map shows the geographic impact of Chih‐Hua Chiao'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 Chih‐Hua Chiao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chih‐Hua Chiao more than expected).

Fields of papers citing papers by Chih‐Hua Chiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chih‐Hua Chiao. 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 Chih‐Hua Chiao. The network helps show where Chih‐Hua Chiao may publish in the future.

Co-authorship network of co-authors of Chih‐Hua Chiao

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

All Works

9 of 9 papers shown
1.
Chiao, Chih‐Hua, et al.. (2025). The long-term effects of cardiometabolic risk factors on mortality and life expectancy: evidence from a health check-up cohort study. BMC Cardiovascular Disorders. 25(1). 27–27. 1 indexed citations
2.
Hamada, Michael S., et al.. (2019). A note on the Bayesian analysis of experiments with correlated multiple responses using a matrix‐logarithmic covariance model. Quality and Reliability Engineering International. 35(7). 2506–2511. 1 indexed citations
3.
Yu, Hong‐Fwu & Chih‐Hua Chiao. (2002). DESIGNING AN ACCELERATED DEGRADATION EXPERIMENT BY OPTIMIZING THE INTERVAL ESTIMATION OF THE MEAN-TIME-TO-FAILURE. Journal of the Chinese Institute of Industrial Engineers. 19(5). 23–33. 23 indexed citations
4.
Chiao, Chih‐Hua, et al.. (2002). Reliability improvement of fluorescent lamp using grey forecasting model. Microelectronics Reliability. 42(1). 127–134. 15 indexed citations
5.
Yu, Hong‐Fwu & Chih‐Hua Chiao. (2002). An optimal designed degradation experiment for reliability improvement. IEEE Transactions on Reliability. 51(4). 427–433. 20 indexed citations
6.
Chiao, Chih‐Hua & Michael S. Hamada. (2001). Analyzing experiments with degradation data for improving reliability and for achieving robust reliability. Quality and Reliability Engineering International. 17(5). 333–344. 17 indexed citations
7.
Chiao, Chih‐Hua & Michael S. Hamada. (2001). Analyzing Experiments with Correlated Multiple Responses. Journal of Quality Technology. 33(4). 451–465. 127 indexed citations
8.
Chiao, Chih‐Hua & Michael S. Hamada. (1996). ROBUST RELIABILITY FOR LIGHT EMITTING DIODES USING DEGRADATION MEASUREMENTS. Quality and Reliability Engineering International. 12(2). 89–94. 33 indexed citations
9.
Tseng, Sheng‐Tsaing, Michael S. Hamada, & Chih‐Hua Chiao. (1995). Using Degradation Data to Improve Fluorescent Lamp Reliability. Journal of Quality Technology. 27(4). 363–369. 101 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026