Bin Peng
Impact in
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- Monetary Policy and Economic Impact
- Statistics and Probability top 10%
- Statistical Methods and Inference
Papers in
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- Spatial and Panel Data Analysis 17
- Fiscal Policy and Economic Growth 7
- Market Dynamics and Volatility 6
- Economic Growth and Productivity 4
- Housing Market and Economics 4
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- Monetary Policy and Economic Impact 16
- Co-authors
- Jiti Gao (23 shared papers)Chaohua Dong (6 shared papers)Fei Peng (2 shared papers)Depei Qian (1 shared paper)Oliver Linton (3 shared papers)Shangyu Xie (1 shared paper)Isabel Casas (1 shared paper)Guohua Feng (5 shared papers)
- Journals
- Journal of Econometrics (7 papers)Econometric Theory (3 papers)Journal of Business and Economic Statistics (2 papers)Journal of the Royal Statistical Society Series A (Statistics in Society) (1 paper)Wireless Personal Communications (1 paper)
- Partner nations
- ChinaAustraliaUnited Kingdom
In The Last Decade
Bin Peng
46 papers receiving 227 citations
Peers
Comparison fields: 5 of 60
- General Economics, Econometrics and Finance 48
- Statistics and Probability 40
- Economics and Econometrics 103
- Finance 35
- Computer Networks and Communications 42
Countries citing papers authored by Bin Peng
This map shows the geographic impact of Bin Peng'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 Bin Peng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin Peng more than expected).
Fields of papers citing papers by Bin Peng
This network shows the impact of papers produced by Bin Peng. 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 Bin Peng. The network helps show where Bin Peng may publish in the future.
Co-authors
The 25 scholars most cited alongside Bin Peng, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 31 | |
| 2 | 2021 | 20 | |
| 3 | 2010 | 18 | |
| 4 | 2020 | 15 | |
| 5 | 2014 | 12 | |
| 6 | 2020 | 12 | |
| 7 | 2020 | 11 | |
| 8 | 2020 | 9 | |
| 9 | 2012 | 9 | |
| 10 | 2023 | 8 | |
| 11 | 2023 | 8 | |
| 12 | 2017 | 6 | |
| 13 | 2019 | 6 | |
| 14 | 2019 | 6 | |
| 15 | 2011 | 5 | |
| 16 | 2019 | 5 | |
| 17 | 2019 | 5 | |
| 18 | 2021 | 4 | |
| 19 | 2012 | 4 | |
| 20 | 2023 | 3 |
About Bin Peng
Bin Peng is a scholar working on Economics and Econometrics, General Economics, Econometrics and Finance, Statistics and Probability, Finance and Computer Networks and Communications, having authored 50 papers that have together received 241 indexed citations. Recurring topics across this work include Spatial and Panel Data Analysis (17 papers), Monetary Policy and Economic Impact (16 papers), Statistical Methods and Inference (9 papers), Fiscal Policy and Economic Growth (7 papers), Financial Risk and Volatility Modeling (6 papers), Market Dynamics and Volatility (6 papers), Economic Growth and Productivity (4 papers) and Housing Market and Economics (4 papers). The work is most often cited by research in General Economics, Econometrics and Finance (48 citations), Statistics and Probability (40 citations), Economics and Econometrics (103 citations), Finance (35 citations) and Computer Networks and Communications (42 citations). Bin Peng has collaborated with scholars based in China, Australia and United Kingdom. Frequent co-authors include Jiti Gao, Chaohua Dong, Fei Peng, Depei Qian, Oliver Linton, Shangyu Xie, Isabel Casas, Guohua Feng, Tianzhou Chen and Yu Hua. Their work appears in journals such as Journal of Econometrics, Econometric Theory, Journal of Business and Economic Statistics, Journal of the Royal Statistical Society Series A (Statistics in Society) and Wireless Personal Communications.
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.