Qu Feng
- Economics and Econometrics top 1%
- Renewable Energy, Sustainability and the Environment top 10%
- General Economics, Econometrics and Finance top 5%
- Pollution top 10%
- Environmental Engineering top 10%
- Co-authors
- Badi H. BaltagiChihwa KaoGuiying Laura WuF.N. LeePei LiCaiqian YangZhiren WuWilliam C. Horrace
- Topics
- Spatial and Panel Data Analysis (9 papers)Monetary Policy and Economic Impact (8 papers)Fiscal Policy and Economic Growth (7 papers)
- Cited by
- Economics and EconometricsGeneral Economics, Econometrics and FinanceRenewable Energy, Sustainability and the Environment
- Partner nations
- SingaporeChinaUnited States
In The Last Decade
Qu Feng
40 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 102
- Economics and Econometrics 910
- Renewable Energy, Sustainability and the Environment 247
- General Economics, Econometrics and Finance 195
- Pollution 134
- Environmental Engineering 133
Countries citing papers authored by Qu Feng
This map shows the geographic impact of Qu Feng'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 Qu Feng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qu Feng more than expected).
Fields of papers citing papers by Qu Feng
This network shows the impact of papers produced by Qu Feng. 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 Qu Feng. The network helps show where Qu Feng may publish in the future.
Co-authorship network of co-authors of Qu Feng
This figure shows the co-authorship network connecting the top 25 collaborators of Qu Feng. A scholar is included among the top collaborators of Qu Feng 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 Qu Feng. Qu Feng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 1 | |
| 3 | 24 | |
| 4 | 9 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | Durability of the pisha sandstone consolidation body solidified by hydraulic polyurethane in simulated UV tests. | 3 |
| 10 | 1 | |
| 11 | 5 | |
| 12 | 55 | |
| 13 | A Lagrange Multiplier test for cross-sectional dependence in a fixed effects panel data modelbreakdown → | 707 |
| 14 | Structural Changes and Regional Disparity in China's Inflation | 1 |
| 15 | 31 | |
| 16 | 2 | |
| 17 | 6 | |
| 18 | 1 | |
| 19 | 57 | |
| 20 | 30 |
About Qu Feng
Qu Feng is a scholar working on General Economics, Econometrics and Finance, Economics and Econometrics and Discrete Mathematics and Combinatorics, having authored 41 papers that have together received 1.3k indexed citations. Recurring topics across this work include Spatial and Panel Data Analysis (9 papers), Monetary Policy and Economic Impact (8 papers) and Fiscal Policy and Economic Growth (7 papers). The work is most often cited by research in Economics and Econometrics (910 citations), General Economics, Econometrics and Finance (195 citations) and Renewable Energy, Sustainability and the Environment (247 citations). Qu Feng has collaborated with scholars based in Singapore, China and United States. Frequent co-authors include Badi H. Baltagi, Chihwa Kao, Guiying Laura Wu, F.N. Lee, Pei Li, Caiqian Yang, Zhiren Wu, William C. Horrace, Kefeng Li and A.M. Breipohl. Their work appears in journals such as IEEE Transactions on Power Systems, Construction and Building Materials and Molecules.
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.