Chin Long Chiang

41 papers and 2.8k indexed citations i.

About

Chin Long Chiang is a scholar working on Demography, Management Science and Operations Research and Statistics and Probability. According to data from OpenAlex, Chin Long Chiang has authored 41 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Demography, 8 papers in Management Science and Operations Research and 7 papers in Statistics and Probability. Recurrent topics in Chin Long Chiang’s work include Insurance, Mortality, Demography, Risk Management (13 papers), demographic modeling and climate adaptation (6 papers) and Bayesian Methods and Mixture Models (3 papers). Chin Long Chiang is often cited by papers focused on Insurance, Mortality, Demography, Risk Management (13 papers), demographic modeling and climate adaptation (6 papers) and Bayesian Methods and Mixture Models (3 papers). Chin Long Chiang collaborates with scholars based in United States. Chin Long Chiang's co-authors include M. S. Bartlett, ­Michael A. Stoto, W. R. Buckland, Harlley E. McKean, William C. Reeves, W. Z. Billewicz, Susan T. Sacks, Richard. D. Cohen, Béa J. van den Berg and John I. McCool and has published in prestigious journals such as Journal of the American Statistical Association, Technometrics and American Journal of Epidemiology.

In The Last Decade

Co-authorship network of co-authors of Chin Long Chiang i

Fields of papers citing papers by Chin Long Chiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Chin Long Chiang

Since Specialization
Citations

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).

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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2025