Chong K. Liew
- Artificial Intelligence top 10%
- Statistics and Probability top 5%
- Economics and Econometrics top 10%
- Management Science and Operations Research top 10%
- General Economics, Econometrics and Finance top 10%
- Co-authors
- Jae K. Shim
- Topics
- Economic Growth and Productivity (6 papers)Fiscal Policy and Economic Growth (5 papers)Environmental Impact and Sustainability (4 papers)
- Cited by
- Statistics and ProbabilityManagement Science and Operations ResearchGeneral Economics, Econometrics and Finance
- Journals
- Journal of the American Statistical AssociationEconometricaThe Review of Economics and Statistics
- Partner nations
- United States
In The Last Decade
Chong K. Liew
18 papers receiving 381 citations
Peers
Comparison fields: 5 of 81
- Artificial Intelligence 139
- Statistics and Probability 120
- Economics and Econometrics 92
- Management Science and Operations Research 67
- General Economics, Econometrics and Finance 41
Countries citing papers authored by Chong K. Liew
This map shows the geographic impact of Chong K. Liew'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 Chong K. Liew with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chong K. Liew more than expected).
Fields of papers citing papers by Chong K. Liew
This network shows the impact of papers produced by Chong K. Liew. 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 Chong K. Liew. The network helps show where Chong K. Liew may publish in the future.
Co-authorship network of co-authors of Chong K. Liew
This figure shows the co-authorship network connecting the top 25 collaborators of Chong K. Liew. A scholar is included among the top collaborators of Chong K. Liew 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 Chong K. Liew. Chong K. Liew is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 7 | |
| 3 | 7 | |
| 4 | 5 | |
| 5 | The McClellan-Kerr Waterway and Regional Economic Development - Phase II Study. | 0 |
| 6 | REGIONAL ECONOMIC DEVELOPMENT IMPACT MODEL: PHASE I STUDY | 0 |
| 7 | 21 | |
| 8 | 133 | |
| 9 | 12 | |
| 10 | 13 | |
| 11 | USE OF A MULTIREGIONAL VARIABLE INPUT-OUTPUT MODEL TO ANALYZE ECONOMIC IMPACTS OF TRANSPORTATION COSTS | 3 |
| 12 | 4 | |
| 13 | AIRLINE DEREGULATION AND ITS IMPACTS ON INTERCITY TRAVEL DEMAND | 1 |
| 14 | 9 | |
| 15 | 9 | |
| 16 | 31 | |
| 17 | 12 | |
| 18 | 154 | |
| 19 | 2 | |
| 20 | 0 |
About Chong K. Liew
Chong K. Liew is a scholar working on General Economics, Econometrics and Finance, Transportation and Economics and Econometrics, having authored 21 papers that have together received 429 indexed citations. Recurring topics across this work include Economic Growth and Productivity (6 papers), Fiscal Policy and Economic Growth (5 papers) and Environmental Impact and Sustainability (4 papers). The work is most often cited by research in Statistics and Probability (120 citations), Management Science and Operations Research (67 citations) and General Economics, Econometrics and Finance (41 citations). Chong K. Liew has collaborated with scholars based in United States. Frequent co-authors include Jae K. Shim. Their work appears in journals such as Journal of the American Statistical Association, Econometrica and The Review of Economics and Statistics.
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.