Kailing Shen
Impact in
- Gender Studies top 5%
- Gender Diversity and Inequality
- Demographic Trends and Gender Preferences
- Gender, Labor, and Family Dynamics
- Gender Politics and Representation
- Economics and Econometrics top 10%
- Labor market dynamics and wage inequality
Papers in
-
- Names, Identity, and Discrimination Research 6
- Migration and Labor Dynamics 4
-
- Labor market dynamics and wage inequality 7
- Co-authors
- Peter Kuhn (11 shared papers)Xin Meng (1 shared paper)Wei Tian (4 shared papers)Jack W. Hou (2 shared papers)Bledi Taska (1 shared paper)Kenny Thiam Choy Lim Kam Sian (1 shared paper)Lixia Zhang (1 shared paper)Chunlin Wang (1 shared paper)
- Journals
- The Journal of Human Resources (1 paper)Remote Sensing (1 paper)Atmosphere (1 paper)Journal of Comparative Economics (1 paper)American Economic Review (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Kailing Shen
16 papers receiving 266 citations
Peers
Comparison fields: 5 of 62
- Gender Studies 91
- Economics and Econometrics 128
- Sociology and Political Science 150
- Marketing 26
- Safety Research 20
Countries citing papers authored by Kailing Shen
This map shows the geographic impact of Kailing Shen'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 Kailing Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kailing Shen more than expected).
Fields of papers citing papers by Kailing Shen
This network shows the impact of papers produced by Kailing Shen. 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 Kailing Shen. The network helps show where Kailing Shen may publish in the future.
Co-authors
The 13 scholars most cited alongside Kailing Shen, 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 | 2012 | 155 | |
| 2 | 2020 | 21 | |
| 3 | 2015 | 18 | |
| 4 | 2010 | 17 | |
| 5 | 2018 | 16 | |
| 6 | 2023 | 12 | |
| 7 | 2012 | 9 | |
| 8 | 2023 | 6 | |
| 9 | 2017 | 5 | |
| 10 | 2021 | 4 | |
| 11 | 2014 | 4 | |
| 12 | 2020 | 4 | |
| 13 | 2010 | 3 | |
| 14 | 2023 | 2 | |
| 15 | 2016 | 2 | |
| 16 | 2022 | 1 | |
| 17 | 2024 | 0 | |
| 18 | 2014 | 0 | |
| 19 | 2010 | 0 | |
| 20 | 2019 | 0 |
About Kailing Shen
Kailing Shen is a scholar working on Sociology and Political Science, Economics and Econometrics, Gender Studies, Atmospheric Science and Political Science and International Relations, having authored 20 papers that have together received 279 indexed citations. Recurring topics across this work include Labor market dynamics and wage inequality (7 papers), Names, Identity, and Discrimination Research (6 papers), Gender Diversity and Inequality (4 papers), Migration and Labor Dynamics (4 papers), Precipitation Measurement and Analysis (3 papers), Meteorological Phenomena and Simulations (3 papers), Soil Moisture and Remote Sensing (2 papers) and Migration, Aging, and Tourism Studies (2 papers). The work is most often cited by research in Gender Studies (91 citations), Economics and Econometrics (128 citations), Sociology and Political Science (150 citations), Marketing (26 citations) and Safety Research (20 citations). Kailing Shen has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Peter Kuhn, Xin Meng, Wei Tian, Jack W. Hou, Bledi Taska, Kenny Thiam Choy Lim Kam Sian, Lixia Zhang, Chunlin Wang, Fan Luo and Yi Lei. Their work appears in journals such as The Journal of Human Resources, Remote Sensing, Atmosphere, Journal of Comparative Economics and American Economic Review.
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.