Feinian Chen
Impact in
- Health top 1%
- Health disparities and outcomes
Papers in ⓘ
- Health 15
- Health disparities and outcomes 14
- Co-authors
- Patrick J. Curran (6 shared papers)Pamela Paxton (6 shared papers)Kenneth A. Bollen (6 shared papers)James B. Kirby (5 shared papers)Barbara Entwisle (4 shared papers)Susan E. Short (2 shared papers)Guangya Liu (3 shared papers)J.R. Kirby (1 shared paper)
- Journals
- Social Science Research (5 papers)Sociological Methods & Research (4 papers)Aging & Mental Health (3 papers)Demography (3 papers)Demographic Research (3 papers)
- Partner nations
- United StatesChinaPhilippines
In The Last Decade
Feinian Chen
45 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 160
- Health 497
- Neuropsychology and Physiological Psychology 63
- Gender Studies 390
- Demography 477
- Applied Psychology 164
Countries citing papers authored by Feinian Chen
This map shows the geographic impact of Feinian Chen'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 Feinian Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feinian Chen more than expected).
Fields of papers citing papers by Feinian Chen
This network shows the impact of papers produced by Feinian Chen. 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 Feinian Chen. The network helps show where Feinian Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Feinian Chen, 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | An Empirical Evaluation of the Use of Fixed Cutoff Points in RMSEA Test Statistic in Structural Equation Models Hit paper breakdown → | 2008 | 1159 |
| 2 | 2001 | 380 | |
| 3 | 2001 | 253 | |
| 4 | 2010 | 149 | |
| 5 | 2000 | 143 | |
| 6 | 2003 | 125 | |
| 7 | 2007 | 122 | |
| 8 | 2005 | 109 | |
| 9 | 2002 | 102 | |
| 10 | 2008 | 97 | |
| 11 | 2002 | 71 | |
| 12 | 2014 | 69 | |
| 13 | 2019 | 67 | |
| 14 | 2015 | 58 | |
| 15 | 2015 | 44 | |
| 16 | 2003 | 42 | |
| 17 | 2012 | 36 | |
| 18 | 2002 | 32 | |
| 19 | 2020 | 29 | |
| 20 | 2020 | 28 |
About Feinian Chen
Feinian Chen is a scholar working on Health, Neuropsychology and Physiological Psychology, Gender Studies, Demography and Sociology and Political Science, having authored 46 papers that have together received 3.4k indexed citations. Recurring topics across this work include Intergenerational Family Dynamics and Caregiving (23 papers), Migration and Labor Dynamics (14 papers), Health disparities and outcomes (14 papers), Gender, Labor, and Family Dynamics (7 papers), Migration, Aging, and Tourism Studies (6 papers), Poverty, Education, and Child Welfare (6 papers), Demographic Trends and Gender Preferences (5 papers) and China's Socioeconomic Reforms and Governance (5 papers). The work is most often cited by research in Health (497 citations), Neuropsychology and Physiological Psychology (63 citations), Gender Studies (390 citations), Demography (477 citations) and Applied Psychology (164 citations). Feinian Chen has collaborated with scholars based in United States, China and Philippines. Frequent co-authors include Patrick J. Curran, Pamela Paxton, Kenneth A. Bollen, James B. Kirby, Barbara Entwisle, Susan E. Short, Guangya Liu, J.R. Kirby, Yang Yang and Shengwei Sun. Their work appears in journals such as Social Science Research, Sociological Methods & Research, Aging & Mental Health, Demography and Demographic Research.
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.