Jun Han
Impact in
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- Global trade and economics
- Economics and Econometrics top 5%
- Labor market dynamics and wage inequality
- Fiscal Policy and Economic Growth
- Energy, Environment, Economic Growth
Papers in
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- Fiscal Policy and Economic Growth 2
- COVID-19 Pandemic Impacts 2
- Regional Economics and Spatial Analysis 2
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- China's Socioeconomic Reforms and Governance 5
- Co-authors
- Junsen Zhang (3 shared papers)Runjuan Liu (4 shared papers)Pak-Wai Liu (1 shared paper)Yaohui Zhao (1 shared paper)Beyza Ural Marchand (1 shared paper)Yuan Yang (4 shared papers)Tian Tao (3 shared papers)Shi Li (1 shared paper)
In The Last Decade
Jun Han
18 papers receiving 552 citations
Peers
Comparison fields: 5 of 82
- General Economics, Econometrics and Finance 111
- Economics and Econometrics 212
- Gender Studies 70
- Demography 48
- Sociology and Political Science 162
Countries citing papers authored by Jun Han
This map shows the geographic impact of Jun Han'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 Jun Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Han more than expected).
Fields of papers citing papers by Jun Han
This network shows the impact of papers produced by Jun Han. 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 Jun Han. The network helps show where Jun Han may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Han, 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 | 2011 | 133 | |
| 2 | 2008 | 132 | |
| 3 | 2019 | 74 | |
| 4 | 2016 | 54 | |
| 5 | 2017 | 45 | |
| 6 | 2016 | 41 | |
| 7 | 2016 | 23 | |
| 8 | 2017 | 15 | |
| 9 | 2021 | 13 | |
| 10 | 2016 | 11 | |
| 11 | 2019 | 10 | |
| 12 | 2009 | 7 | |
| 13 | 2010 | 6 | |
| 14 | 2022 | 3 | |
| 15 | 2022 | 1 | |
| 16 | 2022 | 1 | |
| 17 | 2022 | 1 | |
| 18 | 2021 | 1 |
About Jun Han
Jun Han is a scholar working on Economics and Econometrics, Political Science and International Relations, Sociology and Political Science, General Economics, Econometrics and Finance and Molecular Biology, having authored 18 papers that have together received 571 indexed citations. Recurring topics across this work include China's Socioeconomic Reforms and Governance (5 papers), Global trade and economics (4 papers), Ubiquitin and proteasome pathways (2 papers), Fiscal Policy and Economic Growth (2 papers), Cancer-related gene regulation (2 papers), COVID-19 Pandemic Impacts (2 papers), International Business and FDI (2 papers) and Regional Economics and Spatial Analysis (2 papers). The work is most often cited by research in General Economics, Econometrics and Finance (111 citations), Economics and Econometrics (212 citations), Gender Studies (70 citations), Demography (48 citations) and Sociology and Political Science (162 citations). Jun Han has collaborated with scholars based in China, Hong Kong and Canada. Frequent co-authors include Junsen Zhang, Runjuan Liu, Pak-Wai Liu, Yaohui Zhao, Beyza Ural Marchand, Yuan Yang, Tian Tao, Shi Li, Rong Gao and Weiping Zhou. Their work appears in journals such as Oncotarget, Journal of International Economics, Economics of Transition, China Agricultural Economic Review and Scientific Reports.
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.