Andrew Cheuk-Yin Ng
- Finance top 5%
- Stochastic processes and financial applications 9
- Financial Risk and Volatility Modeling 6
- Financial Markets and Investment Strategies 3
- Demography top 2%
- Insurance, Mortality, Demography, Risk Management 14
-
- Probability and Risk Models 8
- Statistics and Probability top 10%
- Statistical Distribution Estimation and Applications 5
- Economics and Econometrics top 10%
- Insurance and Financial Risk Management 3
-
- Monetary Policy and Economic Impact 3
- Co-authors
- Johnny Siu‐Hang LiHailiang YangIngmar SchusterWai‐Sum ChanMichael MonoyiosYanxin LiuRobert B. Durand
- Journals
- International Review of Financial Analysis (1 paper)Mathematics and Computers in Simulation (1 paper)Stochastic Processes and their Applications (1 paper)
- Partner nations
- Hong KongCanadaUnited States
In The Last Decade
Andrew Cheuk-Yin Ng
21 papers receiving 328 citations
Peers
Comparison fields: 5 of 71
- Finance 194
- Demography 180
- Management Science and Operations Research 188
- Statistics and Probability 46
- Economics and Econometrics 94
Countries citing papers authored by Andrew Cheuk-Yin Ng
This map shows the geographic impact of Andrew Cheuk-Yin Ng'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 Andrew Cheuk-Yin Ng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew Cheuk-Yin Ng more than expected).
Fields of papers citing papers by Andrew Cheuk-Yin Ng
This network shows the impact of papers produced by Andrew Cheuk-Yin Ng. 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 Andrew Cheuk-Yin Ng. The network helps show where Andrew Cheuk-Yin Ng may publish in the future.
Co-authorship network
The 7 scholars most cited alongside Andrew Cheuk-Yin Ng, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 7 | |
| 2 | 2014 | 16 | |
| 3 | 2013 | 22 | |
| 4 | 2013 | 7 | |
| 5 | 2013 | 1 | |
| 6 | 2012 | 2 | |
| 7 | Generalized Linear Models | 2012 | 62 |
| 8 | 2011 | 7 | |
| 9 | 2011 | 2 | |
| 10 | 2011 | 31 | |
| 11 | 2010 | 6 | |
| 12 | 2010 | 18 | |
| 13 | 2010 | 18 | |
| 14 | 2010 | 8 | |
| 15 | 2007 | 10 | |
| 16 | 2006 | 2 | |
| 17 | 2005 | 5 | |
| 18 | 2005 | 5 | |
| 19 | 2005 | 44 | |
| 20 | 2005 | 0 |
About Andrew Cheuk-Yin Ng
Andrew Cheuk-Yin Ng is a scholar working on Demography, Finance and Management Science and Operations Research, having authored 22 papers that have together received 350 indexed citations. Recurring topics across this work include Insurance, Mortality, Demography, Risk Management (14 papers), Stochastic processes and financial applications (9 papers), Probability and Risk Models (8 papers), Financial Risk and Volatility Modeling (6 papers), Statistical Distribution Estimation and Applications (5 papers), Financial Markets and Investment Strategies (3 papers), Insurance and Financial Risk Management (3 papers) and Monetary Policy and Economic Impact (3 papers). The work is most often cited by research in Finance (194 citations), Demography (180 citations) and Management Science and Operations Research (188 citations). Andrew Cheuk-Yin Ng has collaborated with scholars based in Hong Kong, Canada and United States. Frequent co-authors include Johnny Siu‐Hang Li, Hailiang Yang, Ingmar Schuster, Wai‐Sum Chan, Michael Monoyios, Yanxin Liu and Robert B. Durand. Their work appears in journals such as International Review of Financial Analysis, Mathematics and Computers in Simulation and Stochastic Processes and their Applications.
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.