Dong Shang Chang

504 total citations
26 papers, 368 citations indexed

About

Dong Shang Chang is a scholar working on Statistics, Probability and Uncertainty, Safety, Risk, Reliability and Quality and Statistics and Probability. According to data from OpenAlex, Dong Shang Chang has authored 26 papers receiving a total of 368 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Statistics, Probability and Uncertainty, 8 papers in Safety, Risk, Reliability and Quality and 8 papers in Statistics and Probability. Recurrent topics in Dong Shang Chang's work include Statistical Distribution Estimation and Applications (8 papers), Probabilistic and Robust Engineering Design (7 papers) and Reliability and Maintenance Optimization (7 papers). Dong Shang Chang is often cited by papers focused on Statistical Distribution Estimation and Applications (8 papers), Probabilistic and Robust Engineering Design (7 papers) and Reliability and Maintenance Optimization (7 papers). Dong Shang Chang collaborates with scholars based in Taiwan, Singapore and Ireland. Dong Shang Chang's co-authors include Loon Ching Tang and Chih‐Chou Chiu and has published in prestigious journals such as European Journal of Operational Research, International Journal of Production Research and Reliability Engineering & System Safety.

In The Last Decade

Dong Shang Chang

26 papers receiving 336 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dong Shang Chang Taiwan 12 132 119 105 80 79 26 368
Bermawi P. Iskandar Indonesia 10 127 1.0× 191 1.6× 476 4.5× 64 0.8× 38 0.5× 72 573
Hong‐Fwu Yu Taiwan 13 225 1.7× 223 1.9× 304 2.9× 114 1.4× 77 1.0× 42 548
Diederik J. D. Wijnmalen Netherlands 7 31 0.2× 51 0.4× 121 1.2× 43 0.5× 85 1.1× 17 311
G.A. Bohoris United Kingdom 9 26 0.2× 48 0.4× 94 0.9× 111 1.4× 59 0.7× 27 339
Sofia Panagiotidou Greece 13 58 0.4× 197 1.7× 217 2.1× 186 2.3× 75 0.9× 16 531
Kit‐Nam Francis Leung Hong Kong 13 105 0.8× 67 0.6× 172 1.6× 128 1.6× 30 0.4× 35 380
Thomas G. Yeung France 8 22 0.2× 54 0.5× 90 0.9× 54 0.7× 28 0.4× 18 288
Adel A. Ghobbar United Kingdom 6 28 0.2× 96 0.8× 74 0.7× 61 0.8× 212 2.7× 13 331
D. G. Nguyen Australia 16 311 2.4× 219 1.8× 646 6.2× 52 0.7× 36 0.5× 23 720
Mats Deleryd Sweden 8 55 0.4× 151 1.3× 49 0.5× 110 1.4× 79 1.0× 17 323

Countries citing papers authored by Dong Shang Chang

Since Specialization
Citations

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

Fields of papers citing papers by Dong Shang Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dong Shang 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 Dong Shang Chang. The network helps show where Dong Shang Chang may publish in the future.

Co-authorship network of co-authors of Dong Shang Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Dong Shang Chang. A scholar is included among the top collaborators of Dong Shang 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 Dong Shang Chang. Dong Shang 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.
Chang, Dong Shang, et al.. (2018). Identifying key factors of adopting an RFID system in nursing care using DEMATEL-based ANP. 38(1). 65–100. 4 indexed citations
2.
Chang, Dong Shang, et al.. (2014). Implementation of cross-generation automation transportation system in the TFT-LCD industry. The International Journal of Advanced Manufacturing Technology. 78(5-8). 753–763. 6 indexed citations
3.
Chang, Dong Shang, et al.. (2012). A Novel Approach for Evaluating the Risk of Health Care Failure Modes. Journal of Medical Systems. 36(6). 3967–3974. 25 indexed citations
4.
Chang, Dong Shang, et al.. (2010). Data envelopment analysis with two distinct objectives of inputs or outputs. 217–222. 1 indexed citations
5.
Chang, Dong Shang, et al.. (2009). Development of competency model for quality specialists. International Journal of Management and Enterprise Development. 7(1). 65–65. 1 indexed citations
6.
Chang, Dong Shang, et al.. (2008). Productivity measurement of the manufacturing process for outsourcing decisions: the case of a Taiwanese printed circuit board manufacturer. International Journal of Production Research. 46(24). 6981–6995. 18 indexed citations
7.
Chang, Dong Shang, et al.. (2007). An approach for the two-group discriminant analysis: An application of DEA. Mathematical and Computer Modelling. 47(9-10). 970–981. 10 indexed citations
8.
Chang, Dong Shang, et al.. (2006). The difference in the perceived benefits between firms that maintain ISO certification and those that do not. International Journal of Production Research. 45(8). 1881–1897. 53 indexed citations
9.
Chang, Dong Shang, et al.. (2004). Measuring the relative efficiency of a firm's ability to achieve organizational benefits after ISO certification. Total Quality Management & Business Excellence. 16(1). 57–69. 41 indexed citations
10.
Chang, Dong Shang, et al.. (2002). Assessing quality performance based on the on-line sensor measurements using neural networks. Computers & Industrial Engineering. 42(2-4). 417–424. 11 indexed citations
11.
Chang, Dong Shang, et al.. (1997). Bootstrap prediction intervals for the birnbaum-saunders distribution. Microelectronics Reliability. 37(8). 1213–1216. 17 indexed citations
12.
Chang, Dong Shang. (1995). Reliability bounds for the stress-strength model. Computers & Industrial Engineering. 29(1-4). 15–19. 6 indexed citations
13.
Tang, Loon Ching & Dong Shang Chang. (1995). Reliability prediction using nondestructive accelerated-degradation data: case study on power supplies. IEEE Transactions on Reliability. 44(4). 562–566. 44 indexed citations
14.
Chang, Dong Shang & Loon Ching Tang. (1994). Percentile bounds and tolerance limits for the birnbaum-saunders distribution. Communication in Statistics- Theory and Methods. 23(10). 2853–2863. 37 indexed citations
15.
Tang, Loon Ching & Dong Shang Chang. (1994). Reliability bounds and tolerance limits of two inverse Gaussian models. Microelectronics Reliability. 34(2). 247–259. 7 indexed citations
16.
Chang, Dong Shang & Loon Ching Tang. (1994). Random number generator for the Birnbaum-Saunders distribution. Computers & Industrial Engineering. 27(1-4). 345–348. 11 indexed citations
17.
Chang, Dong Shang. (1994). A note on constructing the confidence bounds of the failure rate for the inverse Gaussian distribution. Microelectronics Reliability. 34(1). 187–190. 2 indexed citations
18.
Chang, Dong Shang. (1993). Analysis of accelerated degradation data in a two-way design. Reliability Engineering & System Safety. 39(1). 65–69. 14 indexed citations
19.
Chang, Dong Shang, et al.. (1993). A chance-constraints linear programming model on the economic evaluation of flexible manufacturing systems. Production Planning & Control. 4(2). 159–165. 10 indexed citations
20.
Chang, Dong Shang, et al.. (1993). Confidence bounds of the Weibull failure rate. Computers & Industrial Engineering. 25(1-4). 5–8. 1 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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