Ling-Yau Chan

443 total citations
24 papers, 320 citations indexed

About

Ling-Yau Chan is a scholar working on Management Science and Operations Research, Industrial and Manufacturing Engineering and Statistics, Probability and Uncertainty. According to data from OpenAlex, Ling-Yau Chan has authored 24 papers receiving a total of 320 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Management Science and Operations Research, 8 papers in Industrial and Manufacturing Engineering and 7 papers in Statistics, Probability and Uncertainty. Recurrent topics in Ling-Yau Chan's work include Optimal Experimental Design Methods (12 papers), Manufacturing Process and Optimization (8 papers) and Advanced Multi-Objective Optimization Algorithms (6 papers). Ling-Yau Chan is often cited by papers focused on Optimal Experimental Design Methods (12 papers), Manufacturing Process and Optimization (8 papers) and Advanced Multi-Objective Optimization Algorithms (6 papers). Ling-Yau Chan collaborates with scholars based in Hong Kong, India and United Kingdom. Ling-Yau Chan's co-authors include Shaomin Wu, Tom Ryan, Connie W. C. Hui, Tony K.H. Chung, Joseph Kwong, Jacqueline Ho Sze Lee, Tat‐San Lau, Chi Hang Wong, Gennian Ge and Mingyao Ai and has published in prestigious journals such as Oncogene, Biometrika and Journal of Mathematical Analysis and Applications.

In The Last Decade

Ling-Yau Chan

24 papers receiving 305 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ling-Yau Chan Hong Kong 10 116 107 72 67 62 24 320
Limin Jia China 9 53 0.5× 38 0.4× 43 0.6× 7 0.1× 6 0.1× 24 313
Md Rezaul Karim Bangladesh 9 94 0.8× 34 0.3× 169 2.3× 5 0.1× 81 1.3× 28 330
Joby K. Jose India 12 84 0.7× 23 0.2× 63 0.9× 6 0.1× 98 1.6× 30 373
Radim Briš Czechia 10 149 1.3× 8 0.1× 245 3.4× 18 0.3× 96 1.5× 43 367
Soo Y. Chang South Korea 15 49 0.4× 58 0.5× 21 0.3× 56 0.8× 11 0.2× 33 671
Greg Bennett United States 14 217 1.9× 82 0.8× 37 0.5× 18 0.3× 68 1.1× 33 499
Congshan Wu China 13 256 2.2× 7 0.1× 511 7.1× 7 0.1× 70 1.1× 17 642
N. Ahmad India 15 83 0.7× 36 0.3× 349 4.8× 5 0.1× 210 3.4× 41 513
Krzysztof Szajowski Poland 9 19 0.2× 86 0.8× 5 0.1× 6 0.1× 20 0.3× 50 219
Yushin Hong South Korea 15 73 0.6× 62 0.6× 45 0.6× 22 0.3× 19 0.3× 27 700

Countries citing papers authored by Ling-Yau Chan

Since Specialization
Citations

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

Fields of papers citing papers by Ling-Yau Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ling-Yau Chan. 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 Ling-Yau Chan. The network helps show where Ling-Yau Chan may publish in the future.

Co-authorship network of co-authors of Ling-Yau Chan

This figure shows the co-authorship network connecting the top 25 collaborators of Ling-Yau Chan. A scholar is included among the top collaborators of Ling-Yau Chan 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 Ling-Yau Chan. Ling-Yau Chan 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.
Lau, Tat‐San, Ling-Yau Chan, Chi Hang Wong, et al.. (2017). A loop of cancer-stroma-cancer interaction promotes peritoneal metastasis of ovarian cancer via TNFα-TGFα-EGFR. Oncogene. 36(25). 3576–3587. 71 indexed citations
2.
Tai, Allen H., et al.. (2011). New statistical distributions for group counting in Bernoulli and Poisson processes. Test. 21(1). 29–53. 1 indexed citations
3.
Chan, Ling-Yau & Rahul Mukerjee. (2010). Interval estimation of a small proportion via inverse sampling. Journal of Applied Statistics. 37(3). 425–433. 2 indexed citations
4.
Chan, Ling-Yau & Shaomin Wu. (2009). Optimal design for inspection and maintenance policy based on the CCC chart. Computers & Industrial Engineering. 57(3). 667–676. 17 indexed citations
5.
Chan, Ling-Yau, et al.. (2007). A Two-Stage Cumulative Quantity Control Chart for Monitoring Poisson Processes. Journal of Quality Technology. 39(3). 203–223. 7 indexed citations
6.
Ai, Mingyao, Gennian Ge, & Ling-Yau Chan. (2007). Circular neighbor-balanced designs universally optimal for total effects. Science in China Series A Mathematics. 50(6). 821–828. 16 indexed citations
7.
Liu, Min‐Qian & Ling-Yau Chan. (2004). Uniformity of incomplete block designs. International Journal of Materials and Product Technology. 20(1/2/3). 143–143. 5 indexed citations
8.
Chan, Ling-Yau, et al.. (2004). Quality improvement in the manufacture of liquid crystal displays using uniform design. International Journal of Materials and Product Technology. 20(1/2/3). 127–127. 9 indexed citations
9.
Chan, Ling-Yau. (2003). Design of inspection and maintenance models based on the CCC-chart. 29. 74–81. 3 indexed citations
10.
Wu, Shaomin & Ling-Yau Chan. (2003). Performance utility-analysis of multi-state systems. IEEE Transactions on Reliability. 52(1). 14–21. 69 indexed citations
11.
Chan, Ling-Yau, et al.. (2001). A- and D-optimal designs for a log contrast model for experiments with mixtures. Journal of Applied Statistics. 28(5). 537–546. 9 indexed citations
12.
Chan, Ling-Yau, Kai‐Tai Fang, & Rahul Mukerjee. (2001). A characterization for orthogonal arrays of strength two via a regression model. Statistics & Probability Letters. 54(2). 189–192. 3 indexed citations
13.
Chan, Ling-Yau. (2000). Optimal designs for experiments with mixtures: a survey. Communication in Statistics- Theory and Methods. 29(9-10). 2281–2312. 36 indexed citations
14.
Chan, Ling-Yau, et al.. (1998). A-OPTIMAL DESIGNS FOR AN ADDITIVE QUADRATIC MIXTURE MODEL. 5 indexed citations
15.
Chan, Ling-Yau. (1995). A REVIEW ON OPTIMAL DESIGN FOR MIXTURE MODELS. WORLD SCIENTIFIC eBooks. 45–88. 3 indexed citations
16.
Chan, Ling-Yau. (1992). D-optimal design for a quadratic log contrast model for experiments with mixtures. Communication in Statistics- Theory and Methods. 21(10). 2909–2930. 8 indexed citations
17.
Chan, Ling-Yau. (1991). Generalized Lipschitz classes and asymptotic behavior of Fourier series. Journal of Mathematical Analysis and Applications. 155(2). 371–377. 6 indexed citations
18.
Chan, Ling-Yau. (1990). An example of construction of asymptotic D-optimal design which converges on an infinite set of points. Journal of Statistical Planning and Inference. 25(1). 29–34. 1 indexed citations
19.
Chan, Ling-Yau. (1988). Optimal design for a linear log contrast model for experiments with mixtures. Journal of Statistical Planning and Inference. 20(1). 105–113. 12 indexed citations
20.
Chan, Ling-Yau. (1985). On Fourier series with non-negative coefficients and two problems of R. P. Boas. Journal of Mathematical Analysis and Applications. 110(1). 116–129. 4 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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