Chin Long Chiang
- General Health Professions top 2%
- Demography top 0.5%
- Health top 1%
- Statistics and Probability top 1%
- Economics and Econometrics top 5%
- Co-authors
- M. S. BartlettMichael A. StotoW. R. BucklandWilliam C. ReevesHarlley E. McKeanW. Z. BillewiczBéa J. van den BergRichard. D. Cohen
- Topics
- Insurance, Mortality, Demography, Risk Management (14 papers)demographic modeling and climate adaptation (6 papers)Financial Risk and Volatility Modeling (4 papers)
- Journals
- Journal of the American Statistical AssociationTechnometricsAmerican Journal of Epidemiology
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Chin Long Chiang
43 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 199
- General Health Professions 728
- Demography 574
- Health 548
- Statistics and Probability 381
- Economics and Econometrics 304
Countries citing papers authored by Chin Long Chiang
This map shows the geographic impact of Chin Long Chiang'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 Chin Long Chiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chin Long Chiang more than expected).
Fields of papers citing papers by Chin Long Chiang
This network shows the impact of papers produced by Chin Long Chiang. 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 Chin Long Chiang. The network helps show where Chin Long Chiang may publish in the future.
Co-authorship network of co-authors of Chin Long Chiang
This figure shows the co-authorship network connecting the top 25 collaborators of Chin Long Chiang. A scholar is included among the top collaborators of Chin Long Chiang 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 Chin Long Chiang. Chin Long Chiang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 55 | |
| 2 | 1 | |
| 3 | 93 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 43 | |
| 8 | 11 | |
| 9 | 16 | |
| 10 | 19 | |
| 11 | 11 | |
| 12 | 50 | |
| 13 | 13 | |
| 14 | 3 | |
| 15 | 29 | |
| 16 | 128 | |
| 17 | Introduction to Stochastic Processes in Biostatisticsbreakdown → | 535 |
| 18 | 130 | |
| 19 | On the Probability of Death from Specific Causes in the Presence of Competing Risks | 27 |
| 20 | 62 |
About Chin Long Chiang
Chin Long Chiang is a scholar working on Demography, Statistics and Probability and Management Science and Operations Research, having authored 44 papers that have together received 2.9k indexed citations. Recurring topics across this work include Insurance, Mortality, Demography, Risk Management (14 papers), demographic modeling and climate adaptation (6 papers) and Financial Risk and Volatility Modeling (4 papers). The work is most often cited by research in Health (548 citations), Demography (574 citations) and Statistics and Probability (381 citations). Chin Long Chiang has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include M. S. Bartlett, Michael A. Stoto, W. R. Buckland, William C. Reeves, Harlley E. McKean, W. Z. Billewicz, Béa J. van den Berg, Richard. D. Cohen, Susan T. Sacks and John I. McCool. Their work appears in journals such as Journal of the American Statistical Association, Technometrics and American Journal of Epidemiology.
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.