Yung-Chia Chang

2.5k total citations
98 papers, 2.0k citations indexed

About

Yung-Chia Chang is a scholar working on Management Science and Operations Research, Industrial and Manufacturing Engineering and Statistics, Probability and Uncertainty. According to data from OpenAlex, Yung-Chia Chang has authored 98 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Management Science and Operations Research, 24 papers in Industrial and Manufacturing Engineering and 16 papers in Statistics, Probability and Uncertainty. Recurrent topics in Yung-Chia Chang's work include Scheduling and Optimization Algorithms (14 papers), Multi-Criteria Decision Making (11 papers) and Advanced Statistical Process Monitoring (11 papers). Yung-Chia Chang is often cited by papers focused on Scheduling and Optimization Algorithms (14 papers), Multi-Criteria Decision Making (11 papers) and Advanced Statistical Process Monitoring (11 papers). Yung-Chia Chang collaborates with scholars based in Taiwan, United States and Australia. Yung-Chia Chang's co-authors include Kuei‐Hu Chang, Chung-Yee Lee, Eric Wei‐Guang Diau, Ching‐Hsue Cheng, Chien‐Wei Wu, Huiping Wu, Hsien‐Yu Peng, Ching‐Yao Lin, Chin‐Li Wang and Jia‐Wei Shiu and has published in prestigious journals such as ACS Nano, Energy & Environmental Science and PLoS ONE.

In The Last Decade

Yung-Chia Chang

91 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yung-Chia Chang Taiwan 23 407 397 325 310 259 98 2.0k
Chun Su China 25 508 1.2× 248 0.6× 186 0.6× 515 1.7× 422 1.6× 142 2.4k
Sang Chan Park South Korea 33 371 0.9× 836 2.1× 79 0.2× 121 0.4× 195 0.8× 185 3.7k
Ichiro Sakata Japan 28 222 0.5× 37 0.1× 162 0.5× 503 1.6× 104 0.4× 189 3.0k
Hua Ke China 28 754 1.9× 367 0.9× 124 0.4× 49 0.2× 105 0.4× 90 2.4k
Peter Sandborn United States 25 116 0.3× 224 0.6× 251 0.8× 45 0.1× 59 0.2× 167 2.4k
Jun Yu Singapore 33 378 0.9× 55 0.1× 62 0.2× 135 0.4× 300 1.2× 173 5.6k
Stefan Wagner Germany 28 66 0.2× 118 0.3× 160 0.5× 185 0.6× 312 1.2× 241 3.3k
Bernardete Ribeiro Portugal 28 145 0.4× 140 0.4× 56 0.2× 143 0.5× 77 0.3× 210 3.0k
Chia‐Yen Lee Taiwan 27 425 1.0× 166 0.4× 48 0.1× 228 0.7× 259 1.0× 128 4.2k
Morten Lind Denmark 29 151 0.4× 157 0.4× 395 1.2× 534 1.7× 117 0.5× 173 3.7k

Countries citing papers authored by Yung-Chia Chang

Since Specialization
Citations

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

Fields of papers citing papers by Yung-Chia Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yung-Chia Chang

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

All Works

20 of 20 papers shown
1.
Wang, Chung‐Ho, et al.. (2025). Establishing Performance Baselines for Secure Software Development. IET Information Security. 2025(1).
2.
Ranjan, Ashok, Lian‐Ming Lyu, Kai‐Yuan Hsiao, et al.. (2023). In Situ/Operando Studies for Reduced Eletromigration in Ag Nanowires with Stacking Faults. Advanced Electronic Materials. 9(3). 3 indexed citations
3.
Chang, Yung-Chia, et al.. (2018). A NOVEL NETWORK SIMULATION SOFTWARE FOR SUPPLY CHAIN MANAGEMENT COURSES. International journal of industrial engineering. 25(2). 230–251. 2 indexed citations
4.
Chang, Yung-Chia, et al.. (2017). EZ-Net BYOD service management in campus wireless networks. 網際網路技術學刊. 18(4). 907–917. 2 indexed citations
5.
Chang, Kuei‐Hu, et al.. (2015). Applying theory of constraints-based approach to solve memory allocation of cloud storage. International Journal of Systems Science Operations & Logistics. 4(4). 311–329. 3 indexed citations
6.
Chang, Yung-Chia, et al.. (2013). Applied column generation-based approach to solve supply chain scheduling problems. International Journal of Production Research. 51(13). 4070–4086. 28 indexed citations
7.
Chang, Kuei‐Hu, et al.. (2012). AN INNOVATIVE APPROACH INTEGRATING 2-TUPLE AND LOWGA OPERATORS IN PROCESS FAILURE MODE AND EFFECTS ANALYSIS. International journal of innovative computing, information & control. 8. 747–761. 21 indexed citations
8.
Qi, Jianjun, et al.. (2011). Developing Visible Fluorogenic ‘Click-On’ Dyes for Cellular Imaging. Bioconjugate Chemistry. 22(9). 1758–1762. 42 indexed citations
9.
Chang, Yung-Chia, et al.. (2011). ME-OWA based DEMATEL reliability apportionment method. Expert Systems with Applications. 38(8). 9713–9723. 61 indexed citations
10.
Chang, Yung-Chia, et al.. (2010). Decision support system for inventory management by TOC demand-pull approach. 23–26. 6 indexed citations
11.
Chang, Yung-Chia, et al.. (2010). Cost-Benefit Analysis of RFID Application in Apparel Retailing for SME: A Case from Taiwan. Transportation Journal. 49(3). 57–66. 9 indexed citations
12.
Wu, Chien‐Wei & Yung-Chia Chang. (2008). A Hypothesis Testing Procedure on Assessing Process Performance for Asymmetric Tolerances. Communication in Statistics- Theory and Methods. 37(12). 1959–1976. 1 indexed citations
13.
Chang, Kuei‐Hu, Ching‐Hsue Cheng, & Yung-Chia Chang. (2008). Reliability assessment of an aircraft propulsion system using IFS and OWA tree. Engineering Optimization. 40(10). 907–921. 38 indexed citations
14.
Chang, Yung-Chia, W. L. Pearn, & Chien‐Wei Wu. (2007). On the Sampling Distributions of the Estimated Process Loss Indices with Asymmetric Tolerances. Communications in Statistics - Simulation and Computation. 36(6). 1153–1170. 2 indexed citations
15.
Chang, Yung-Chia, et al.. (2007). Thermal and Mechanical Properties of Mg-Cu(Ni)-Y(Gd) Amorphous Alloys. Materials science forum. 539-543. 1926–1931. 6 indexed citations
16.
Chang, Yung-Chia & Chien‐Wei Wu. (2007). Assessing process capability based on the lower confidence bound of Cpk for asymmetric tolerances. European Journal of Operational Research. 190(1). 205–227. 31 indexed citations
17.
Ko, Tsung‐Shine, et al.. (2007). Thermally evaporated In2O3 nanoloquats with oxygen flow-dependent optical emissions. Materials Science and Engineering B. 147(2-3). 276–279. 3 indexed citations
18.
Pearn, W. L., Yung-Chia Chang, & Chien‐Wei Wu. (2006). Measuring Process Performance Based on Expected Loss with Asymmetric Tolerances. Journal of Applied Statistics. 33(10). 1105–1120. 7 indexed citations
19.
Pearn, W. L., Yung-Chia Chang, & Chien‐Wei Wu. (2004). Quality-yield measure for production processes with very low fraction defective. International Journal of Production Research. 42(23). 4909–4925. 12 indexed citations
20.
Chang, Yung-Chia, Madhav B. Ranade, & James W. Gentry. (1992). Experimental measurements of thermophoretic deposition of glass spheres in an annulus. Journal of Aerosol Science. 23. 31–34. 6 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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