Kong Chu
Impact in
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- Simulation Techniques and Applications
- Economics and Econometrics top 5%
- Regional Economics and Spatial Analysis
- Economics of Agriculture and Food Markets
- Fiscal Policy and Economic Growth
- Regional Economic and Spatial Analysis
Papers in
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- Regional Economic and Spatial Analysis 1
- Economic theories and models 1
- Regional Economics and Spatial Analysis 1
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- Transportation Planning and Optimization 1
- Co-authors
- P. J. Lund (1 shared paper)William A. Schaffer (2 shared papers)Joseph L. Balintfy (1 shared paper)Thomas H. Naylor (4 shared papers)Donald S. Burdick (1 shared paper)R. S. Moreland (1 shared paper)Terry G. Seaks (1 shared paper)
- Journals
- Management Science (2 papers)Papers of the Regional Science Association (2 papers)The Economic Journal (1 paper)Economica (1 paper)Econometrica (1 paper)
- Partner nations
- United States
In The Last Decade
Kong Chu
8 papers receiving 834 citations
Kong Chu's Hit Papers
Peers
Comparison fields: 5 of 140
- Management Science and Operations Research 181
- Economics and Econometrics 332
- General Economics, Econometrics and Finance 104
- Statistics and Probability 94
- Environmental Engineering 104
Countries citing papers authored by Kong Chu
This map shows the geographic impact of Kong Chu'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 Kong Chu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kong Chu more than expected).
Fields of papers citing papers by Kong Chu
This network shows the impact of papers produced by Kong Chu. 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 Kong Chu. The network helps show where Kong Chu may publish in the future.
Co-authors
The 7 scholars most cited alongside Kong Chu, 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 | Computer Simulation Techniques. Hit paper breakdown → | 1967 | 401 |
| 2 | Principles of Econometrics Hit paper breakdown → | 1971 | 330 |
| 3 | 1969 | 118 | |
| 4 | 1969 | 88 | |
| 5 | 1967 | 47 | |
| 6 | 1965 | 9 | |
| 7 | 1967 | 6 | |
| 8 | 1972 | 1 | |
| 9 | 1972 | 1 |
About Kong Chu
Kong Chu is a scholar working on Economics and Econometrics, Transportation, Management Science and Operations Research, Environmental Engineering and Demography, having authored 9 papers that have together received 1.0k indexed citations. Recurring topics across this work include demographic modeling and climate adaptation (1 paper), Regional Economic and Spatial Analysis (1 paper), Transportation Planning and Optimization (1 paper), Economic theories and models (1 paper), Gender, Labor, and Family Dynamics (1 paper), Regional Economics and Spatial Analysis (1 paper), Insurance, Mortality, Demography, Risk Management (1 paper) and Environmental Impact and Sustainability (1 paper). The work is most often cited by research in Management Science and Operations Research (181 citations), Economics and Econometrics (332 citations), General Economics, Econometrics and Finance (104 citations), Statistics and Probability (94 citations) and Environmental Engineering (104 citations). Kong Chu has collaborated with scholars based in United States. Frequent co-authors include P. J. Lund, William A. Schaffer, Joseph L. Balintfy, Thomas H. Naylor, Donald S. Burdick, R. S. Moreland and Terry G. Seaks. Their work appears in journals such as Management Science, Papers of the Regional Science Association, The Economic Journal, Economica and Econometrica.
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.