Loon‐Ching Tang

1.0k total citations
32 papers, 774 citations indexed

About

Loon‐Ching Tang is a scholar working on Safety, Risk, Reliability and Quality, Statistics, Probability and Uncertainty and Statistics and Probability. According to data from OpenAlex, Loon‐Ching Tang has authored 32 papers receiving a total of 774 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Safety, Risk, Reliability and Quality, 15 papers in Statistics, Probability and Uncertainty and 15 papers in Statistics and Probability. Recurrent topics in Loon‐Ching Tang's work include Reliability and Maintenance Optimization (22 papers), Statistical Distribution Estimation and Applications (14 papers) and Probabilistic and Robust Engineering Design (8 papers). Loon‐Ching Tang is often cited by papers focused on Reliability and Maintenance Optimization (22 papers), Statistical Distribution Estimation and Applications (14 papers) and Probabilistic and Robust Engineering Design (8 papers). Loon‐Ching Tang collaborates with scholars based in Singapore, Hong Kong and China. Loon‐Ching Tang's co-authors include Zhi‐Sheng Ye, Min Xie, Loo Hay Lee, Suyi Li, Yan Shen, Nan Chen, Xiao Liu, Xiao Liu, Lijuan Shen and David W. Coit and has published in prestigious journals such as Technometrics, Transportation Research Part C Emerging Technologies and Reliability Engineering & System Safety.

In The Last Decade

Loon‐Ching Tang

32 papers receiving 750 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Loon‐Ching Tang Singapore 14 423 358 350 123 111 32 774
Jen Tang United States 15 328 0.8× 401 1.1× 348 1.0× 74 0.6× 119 1.1× 33 772
Vasiliy Krivtsov United States 14 345 0.8× 322 0.9× 188 0.5× 98 0.8× 31 0.3× 36 695
Gianpaolo Pulcini Italy 21 928 2.2× 757 2.1× 954 2.7× 301 2.4× 30 0.3× 74 1.6k
Harold Ascher United States 13 664 1.6× 373 1.0× 359 1.0× 255 2.1× 47 0.4× 25 940
Bram de Jonge Netherlands 13 785 1.9× 272 0.8× 132 0.4× 353 2.9× 94 0.8× 18 994
Mostafa Abouei Ardakan Iran 19 970 2.3× 556 1.6× 189 0.5× 631 5.1× 85 0.8× 44 1.2k
Laurence Dieulle France 14 1.1k 2.6× 398 1.1× 339 1.0× 477 3.9× 145 1.3× 25 1.4k
Luis Alberto Rodríguez‐Picón Mexico 13 182 0.4× 164 0.5× 173 0.5× 32 0.3× 57 0.5× 47 477
Jezdimir Knežević United Kingdom 13 324 0.8× 149 0.4× 72 0.2× 95 0.8× 47 0.4× 41 537

Countries citing papers authored by Loon‐Ching Tang

Since Specialization
Citations

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

Fields of papers citing papers by Loon‐Ching Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Loon‐Ching Tang. 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 Loon‐Ching Tang. The network helps show where Loon‐Ching Tang may publish in the future.

Co-authorship network of co-authors of Loon‐Ching Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Loon‐Ching Tang. A scholar is included among the top collaborators of Loon‐Ching Tang 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 Loon‐Ching Tang. Loon‐Ching Tang 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, Xin, Zhi‐Sheng Ye, Yili Hong, & Loon‐Ching Tang. (2017). Analysis of Field Return Data With Failed-But-Not-Reported Events. Technometrics. 60(1). 90–100. 6 indexed citations
2.
Wang, Xin, Wei Xie, Zhi‐Sheng Ye, & Loon‐Ching Tang. (2017). Aggregate discounted warranty cost forecasting considering the failed-but-not-reported events. Reliability Engineering & System Safety. 168. 355–364. 22 indexed citations
3.
Ye, Zhi‐Sheng & Loon‐Ching Tang. (2015). Augmenting the Unreturned for Field Data With Information on Returned Failures Only. Technometrics. 58(4). 513–523. 16 indexed citations
4.
Ye, Zhi‐Sheng, Min Xie, Loon‐Ching Tang, & Nan Chen. (2013). Semiparametric Estimation of Gamma Processes for Deteriorating Products. Technometrics. 56(4). 504–513. 82 indexed citations
5.
Liu, Xiao & Loon‐Ching Tang. (2013). Planning Accelerated Life Tests Under Scheduled Inspections for Log-Location-Scale Distributions. IEEE Transactions on Reliability. 62(2). 515–526. 9 indexed citations
6.
Ye, Zhi‐Sheng, Min Xie, Loon‐Ching Tang, & Yan Shen. (2012). Degradation-Based Burn-In Planning Under Competing Risks. Technometrics. 54(2). 159–168. 73 indexed citations
7.
Ye, Zhi‐Sheng, et al.. (2012). Optimal burn-in for repairable products sold with a two-dimensional warranty. IIE Transactions. 45(2). 164–176. 54 indexed citations
8.
Ye, Zhi‐Sheng, Min Xie, & Loon‐Ching Tang. (2012). Reliability evaluation of hard disk drive failures based on counting processes. Reliability Engineering & System Safety. 109. 110–118. 33 indexed citations
9.
Li, Suyi, et al.. (2010). Nonparametric CUSUM and EWMA control charts for detecting mean shifts. Quality Engineering. 55(5). 429–430. 2 indexed citations
10.
Li, Suyi, et al.. (2010). Nonparametric CUSUM and EWMA Control Charts for Detecting Mean Shifts. Journal of Quality Technology. 42(2). 209–226. 105 indexed citations
11.
Liu, Xiao & Loon‐Ching Tang. (2010). A Bayesian optimal design for accelerated degradation tests. Quality and Reliability Engineering International. 26(8). 863–875. 35 indexed citations
12.
Liu, Xiao & Loon‐Ching Tang. (2010). Planning sequential constant-stress accelerated life tests with stepwise loaded auxiliary acceleration factor. Journal of Statistical Planning and Inference. 140(7). 1968–1985. 17 indexed citations
13.
Tang, Loon‐Ching, et al.. (2008). Multiresponse optimization of dispatch rules for public bus services. Computers & Industrial Engineering. 56(1). 77–86. 10 indexed citations
14.
Tang, Loon‐Ching, et al.. (2007). Confidence interval for optimal preventive maintenance interval and its applications in maintenance planning. The International Journal of Advanced Manufacturing Technology. 40(1-2). 203–213. 9 indexed citations
15.
Lee, Loo Hay, et al.. (2007). An approximate dynamic programming approach for the empty container allocation problem. Transportation Research Part C Emerging Technologies. 15(4). 265–277. 110 indexed citations
16.
Tang, Loon‐Ching, et al.. (2004). The Effect of Correlation on Chain Sampling Plans. Quality and Reliability Engineering International. 21(1). 51–61. 1 indexed citations
17.
Tang, Loon‐Ching, et al.. (2003). Planning multiple levels constant stress accelerated life tests. 338–342. 4 indexed citations
18.
Tang, Loon‐Ching, et al.. (2002). Planning accelerated life tests with three constant stress levels. Computers & Industrial Engineering. 42(2-4). 439–446. 12 indexed citations
19.
Tang, Loon‐Ching, et al.. (1999). Planning step-stress life-test with a target acceleration-factor. IEEE Transactions on Reliability. 48(1). 61–67. 47 indexed citations
20.
Tang, Loon‐Ching. (1999). PLANNING FOR ACCELERATED LIFE TESTS. International Journal of Reliability Quality and Safety Engineering. 6(3). 265–275. 7 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