Bin Peng
Impact in
- Statistics and Probability top 10%
- Statistical Methods and Inference
- Advanced Statistical Methods and Models
- Economics and Econometrics top 10%
- Spatial and Panel Data Analysis
- Energy, Environment, Economic Growth
- Diverse Scientific and Economic Studies
Papers in
-
- Spatial and Panel Data Analysis 17
- Diverse Scientific and Economic Studies 2
- Economic Growth and Productivity 2
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- Statistical Methods and Inference 5
- Statistical Methods and Applications 3
- Advanced Statistical Methods and Models 2
- Co-authors
- Jiti Gao (17 shared papers)Chaohua Dong (5 shared papers)Russell Smyth (2 shared papers)Guohua Feng (4 shared papers)Oliver Linton (3 shared papers)Shangyu Xie (1 shared paper)Chenlei Leng (1 shared paper)Degui Li (1 shared paper)
- Journals
- Journal of Econometrics (10 papers)Econometric Theory (3 papers)Journal of Business and Economic Statistics (2 papers)Econometric Reviews (1 paper)Journal of Applied Econometrics (1 paper)
- Partner nations
- AustraliaChinaUnited Kingdom
In The Last Decade
Bin Peng
22 papers receiving 164 citations
Peers
Comparison fields: 5 of 30
- Statistics and Probability 44
- Economics and Econometrics 89
- Finance 21
- General Economics, Econometrics and Finance 16
- Renewable Energy, Sustainability and the Environment 18
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 15 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 29 | |
| 2 | 2020 | 28 | |
| 3 | 2021 | 20 | |
| 4 | 2020 | 12 | |
| 5 | 2020 | 10 | |
| 6 | 2020 | 9 | |
| 7 | 2023 | 9 | |
| 8 | 2021 | 8 | |
| 9 | 2016 | 6 | |
| 10 | 2017 | 5 | |
| 11 | 2018 | 5 | |
| 12 | 2019 | 5 | |
| 13 | 2024 | 4 | |
| 14 | 2015 | 3 | |
| 15 | 2017 | 3 | |
| 16 | 2018 | 3 | |
| 17 | 2021 | 3 | |
| 18 | 2023 | 3 | |
| 19 | 2023 | 3 | |
| 20 | 2024 | 3 |
About Bin Peng
Bin Peng is a scholar working on Economics and Econometrics, Statistics and Probability, Finance, General Economics, Econometrics and Finance and Signal Processing, having authored 26 papers that have together received 175 indexed citations. Recurring topics across this work include Spatial and Panel Data Analysis (17 papers), Financial Risk and Volatility Modeling (5 papers), Statistical Methods and Inference (5 papers), Statistical Methods and Applications (3 papers), Diverse Scientific and Economic Studies (2 papers), Monetary Policy and Economic Impact (2 papers), Economic Growth and Productivity (2 papers) and Advanced Statistical Methods and Models (2 papers). The work is most often cited by research in Statistics and Probability (44 citations), Economics and Econometrics (89 citations), Finance (21 citations), General Economics, Econometrics and Finance (16 citations) and Renewable Energy, Sustainability and the Environment (18 citations). Bin Peng has collaborated with scholars based in Australia, China and United Kingdom. Frequent co-authors include Jiti Gao, Chaohua Dong, Russell Smyth, Guohua Feng, Oliver Linton, Shangyu Xie, Chenlei Leng, Degui Li, Liangjun Su and Wei Biao Wu. Their work appears in journals such as Journal of Econometrics, Econometric Theory, Journal of Business and Economic Statistics, Econometric Reviews and Journal of Applied Econometrics.
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.