Ping Shing Chan

1.5k total citations
50 papers, 1.2k citations indexed

About

Ping Shing Chan is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Ping Shing Chan has authored 50 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Statistics and Probability, 21 papers in Statistics, Probability and Uncertainty and 14 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Ping Shing Chan's work include Statistical Distribution Estimation and Applications (32 papers), Probabilistic and Robust Engineering Design (15 papers) and Reliability and Maintenance Optimization (14 papers). Ping Shing Chan is often cited by papers focused on Statistical Distribution Estimation and Applications (32 papers), Probabilistic and Robust Engineering Design (15 papers) and Reliability and Maintenance Optimization (14 papers). Ping Shing Chan collaborates with scholars based in Hong Kong, United States and Canada. Ping Shing Chan's co-authors include Hon Keung Tony Ng, N. Balakrishnan, Debasis Kundu, Peng Zhao, Man‐Lai Tang, Chien‐Tai Lin, Mohammad Ahsanullah, Gaofeng Da, Jiajuan Liang and Maochao Xu and has published in prestigious journals such as Biometrics, European Journal of Operational Research and Statistics in Medicine.

In The Last Decade

Ping Shing Chan

48 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ping Shing Chan Hong Kong 18 931 613 289 182 179 50 1.2k
Erhard Cramer Germany 25 2.5k 2.7× 1.7k 2.8× 531 1.8× 483 2.7× 394 2.2× 116 2.6k
Mohamed S. Eliwa Egypt 21 962 1.0× 455 0.7× 99 0.3× 260 1.4× 150 0.8× 88 1.2k
D. K. Al-Mutairi Kuwait 13 987 1.1× 668 1.1× 261 0.9× 167 0.9× 110 0.6× 38 1.1k
Muhammad Qaiser Shahbaz Pakistan 14 524 0.6× 312 0.5× 71 0.2× 167 0.9× 61 0.3× 88 820
Ammar M. Sarhan Egypt 19 1.0k 1.1× 780 1.3× 547 1.9× 117 0.6× 105 0.6× 74 1.3k
K. B. Kulasekera United States 16 510 0.5× 154 0.3× 59 0.2× 12 0.1× 94 0.5× 52 758
Mahdi Doostparast Iran 15 640 0.7× 484 0.8× 258 0.9× 89 0.5× 77 0.4× 80 810
Sanku Dey India 20 968 1.0× 694 1.1× 239 0.8× 166 0.9× 133 0.7× 96 1.2k
Jie Mi United States 18 673 0.7× 458 0.7× 611 2.1× 34 0.2× 134 0.7× 93 1.2k
Jafar Ahmadi Iran 24 1.5k 1.6× 1.0k 1.7× 395 1.4× 171 0.9× 204 1.1× 163 1.8k

Countries citing papers authored by Ping Shing Chan

Since Specialization
Citations

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

Fields of papers citing papers by Ping Shing Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ping Shing 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 Ping Shing Chan. The network helps show where Ping Shing Chan may publish in the future.

Co-authorship network of co-authors of Ping Shing Chan

This figure shows the co-authorship network connecting the top 25 collaborators of Ping Shing Chan. A scholar is included among the top collaborators of Ping Shing 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 Ping Shing Chan. Ping Shing 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
2.
Hui, Stanley Sai‐chuen, et al.. (2024). Association of ‘weekend warrior’ and other leisure time physical activity patterns with obesity and adiposity: A cross‐sectional study. Diabetes Obesity and Metabolism. 27(2). 482–489. 3 indexed citations
3.
Ling, Man Ho, Ping Shing Chan, Hon Keung Tony Ng, & N. Balakrishnan. (2020). Copula models for one-shot device testing data with correlated failure modes. Communication in Statistics- Theory and Methods. 50(16). 3875–3888. 13 indexed citations
4.
Da, Gaofeng, Ping Shing Chan, & Maochao Xu. (2017). On the signature of complex system: A decomposed approach. European Journal of Operational Research. 265(3). 1115–1123. 15 indexed citations
5.
Ng, Hon Keung Tony, Man Ho Ling, & Ping Shing Chan. (2017). A gamma process modeling approach for the comparison of dissolution profiles. Drug Development and Industrial Pharmacy. 44(4). 553–562. 4 indexed citations
6.
Park, Sangun, Hon Keung Tony Ng, & Ping Shing Chan. (2014). On the Fisher information and design of a flexible progressive censored experiment. Statistics & Probability Letters. 97. 142–149. 5 indexed citations
7.
Chan, Ping Shing, et al.. (2013). Efficient computational algorithm for optimal allocation in regression models. Journal of Computational and Applied Mathematics. 261. 118–126. 5 indexed citations
8.
Zhao, Peng, Ping Shing Chan, & Hon Keung Tony Ng. (2012). Optimal allocation of redundancies in series systems. European Journal of Operational Research. 220(3). 673–683. 50 indexed citations
9.
Chan, Ping Shing, Zhenguo Wu, Ricky Ngok‐Shun Wong, et al.. (2010). Role of mitogen‐activated protein kinase in Zn‐BC‐AM PDT‐induced apoptosis in nasopharyngeal carcinoma cells. Cell Biochemistry and Function. 28(3). 239–248. 6 indexed citations
10.
Chan, Ping Shing, et al.. (2010). Optimal sample size allocation for multi-level stress testing with Weibull regression under Type-II censoring. Statistics. 45(3). 257–279. 15 indexed citations
11.
Tang, Man‐Lai, et al.. (2009). Semiparametric quantile modelling of hierarchical data. Acta Mathematica Sinica English Series. 25(4). 597–616. 7 indexed citations
12.
Chan, Ping Shing, Hon Keung Tony Ng, & N. Balakrishnan. (2008). Statistical inference for start-up demonstration tests with rejection of units upon observingdfailures. Journal of Applied Statistics. 35(8). 867–878. 8 indexed citations
13.
Tian, Maozai, Man‐Lai Tang, Hon Keung Tony Ng, & Ping Shing Chan. (2007). Confidence intervals for the risk ratio under inverse sampling. Statistics in Medicine. 27(17). 3301–3324. 14 indexed citations
14.
Tang, Man‐Lai, et al.. (2007). Testing the Non‐Unity of Rate Ratio under Inverse Sampling. Biometrical Journal. 49(4). 551–564. 4 indexed citations
15.
Chan, Ivan S. F., Niansheng Tang, Man‐Lai Tang, & Ping Shing Chan. (2003). Statistical Analysis of Noninferiority Trials with a Rate Ratio in Small‐Sample Matched‐Pair Designs. Biometrics. 59(4). 1170–1177. 17 indexed citations
16.
Balakrishnan, N. & Ping Shing Chan. (1998). On the normal record values and associated inference. Statistics & Probability Letters. 39(1). 73–80. 43 indexed citations
17.
Morton, Michael S., A. Matos‐Ferreira, Luís Abranches Monteiro, et al.. (1997). Measurement and metabolism of isoflavonoids and lignans in the human male. Cancer Letters. 114(1-2). 145–151. 69 indexed citations
18.
Balakrishnan, N., Ping Shing Chan, & Mohammad Ahsanullah. (1993). Recurrence relations for moments of record values from generalized extreme value distribution. Communication in Statistics- Theory and Methods. 22(5). 1471–1482. 21 indexed citations
19.
Balakrishnan, N. & Ping Shing Chan. (1992). Order statistics from extreme value distribution, ii: best linear unbiased estimates and some other uses. Communications in Statistics - Simulation and Computation. 21(4). 1219–1246. 13 indexed citations
20.
Chan, Ping Shing, et al.. (1990). Emphysematous Pyelonephritis Simulating Intestinal Obstruction and Pneumatosis Intestinalis. Australasian Radiology. 34(4). 344–346. 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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