Ping Shing Chan

1.5k citations
55 papers · 1.2k · h-index 18

Impact in

Papers in

Ping Shing Chan

52 papers receiving 1.2k citations

Peers

Ping Shing Chan
Comparison fields: 5 of 96
  • Statistics and Probability 962
  • Statistics, Probability and Uncertainty 644
  • Safety, Risk, Reliability and Quality 301
  • Management Science and Operations Research 183
  • Software 55
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Jafar Ahmadi Iran
Ammar M. Sarhan Egypt
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Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Ping Shing Chan, 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 Ping Shing Chan Line = papers co-authored together Ping Shing Chan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002207
2 2009201
3 199774
4 200952
5 201250
6 199844
7 200042
8 200641
9 200932
10 199232
11 199230
12 199229
13 201525
14 199322
15 201318
16 201018
17 200317
18 200717
19 201817
20 201716

About Ping Shing Chan

Ping Shing Chan is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty, Safety, Risk, Reliability and Quality, Management Science and Operations Research and Software, having authored 55 papers that have together received 1.2k indexed citations. Recurring topics across this work include Statistical Distribution Estimation and Applications (36 papers), Probabilistic and Robust Engineering Design (16 papers), Reliability and Maintenance Optimization (13 papers), Statistical Methods and Bayesian Inference (10 papers), Statistical Methods and Inference (8 papers), Optimal Experimental Design Methods (8 papers), Hydrology and Drought Analysis (5 papers) and Software Reliability and Analysis Research (5 papers). The work is most often cited by research in Statistics and Probability (962 citations), Statistics, Probability and Uncertainty (644 citations), Safety, Risk, Reliability and Quality (301 citations), Management Science and Operations Research (183 citations) and Software (55 citations). Ping Shing Chan has collaborated with scholars based in Hong Kong, United States and Canada. Frequent co-authors include Hon Keung Tony Ng, N. Balakrishnan, Debasis Kundu, Peng Zhao, Man‐Lai Tang, Chien‐Tai Lin, Mohammad Ahsanullah, Jiajuan Liang, Maochao Xu and Gaofeng Da. Their work appears in journals such as Computational Statistics & Data Analysis, Naval Research Logistics (NRL), Journal of Statistical Computation and Simulation, IEEE Transactions on Reliability and Biometrical Journal.

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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