Loon‐Ching Tang

1.0k citations
32 papers · 779 · h-index 14

Impact in

Papers in

Loon‐Ching Tang

32 papers receiving 757 citations

Peers

Loon‐Ching Tang
Comparison fields: 5 of 54
  • Statistics, Probability and Uncertainty 360
  • Safety, Risk, Reliability and Quality 424
  • Statistics and Probability 352
  • Software 123
  • Industrial and Manufacturing Engineering 111
Replace Jen Tang with:
Jen Tang United States
Mani Sharifi Iran
Gianpaolo Pulcini Italy
Vasiliy Krivtsov United States
Laurence Dieulle France
Harold Ascher United States
Bram de Jonge Netherlands
Chin-Chih Chang Taiwan
Jezdimir Knežević United Kingdom
Loon‐Ching Tang relative to Jen Tang United States Jen Tang's profile →
Citations per field
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Jen Tang · 1×
Citations per year

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-authors

The 14 scholars most cited alongside Loon‐Ching Tang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Loon‐Ching Tang Line = papers co-authored together Loon‐Ching Tang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007110
2 2010106
3 201382
4 201273
5 201254
6 199948
7 201035
8 201235
9 202033
10 201723
11 200919
12 201017
13 201517
14 201516
15 200212
16 200810
17 20089
18 20079
19 20049
20 20139

About Loon‐Ching Tang

Loon‐Ching Tang is a scholar working on Safety, Risk, Reliability and Quality, Statistics, Probability and Uncertainty, Statistics and Probability, Software and Management Science and Operations Research, having authored 32 papers that have together received 779 indexed citations. Recurring topics across this work include Reliability and Maintenance Optimization (22 papers), Statistical Distribution Estimation and Applications (14 papers), Probabilistic and Robust Engineering Design (8 papers), Software Reliability and Analysis Research (6 papers), Advanced Statistical Process Monitoring (5 papers), Optimal Experimental Design Methods (4 papers), Life Cycle Costing Analysis (3 papers) and Risk and Safety Analysis (2 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (360 citations), Safety, Risk, Reliability and Quality (424 citations), Statistics and Probability (352 citations), Software (123 citations) and Industrial and Manufacturing Engineering (111 citations). Loon‐Ching Tang has collaborated with scholars based in Singapore, Hong Kong and China. Frequent co-authors include Zhi‐Sheng Ye, Min Xie, Loo Hay Lee, Suyi Li, Yan Shen, Nan Chen, Xiao Liu, Xiao Liu, Lijuan Shen and Tingting Huang. Their work appears in journals such as Quality and Reliability Engineering International, Technometrics, IEEE Transactions on Reliability, Journal of Quality Technology and Computers & Industrial Engineering.

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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