Feinian Chen

71 papers receiving 4.8k citations

Feinian Chen's Hit Papers

Intergenerational Ties in Context: Grandparents Caring for Grandchildren in China 2011 · 458 citations
4580+6+12Years since publication4008001.2k

Peers

Feinian Chen
Comparison fields: 5 of 152
  • Neuropsychology and Physiological Psychology 133
  • Management Science and Operations Research 721
  • Demography 439
  • Gender Studies 443
  • Health 286
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Countries citing papers authored by Feinian Chen

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Feinian Chen Line = papers co-authored together Feinian Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 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 →
20081223
2
Intergenerational Ties in Context: Grandparents Caring for Grandchildren in China
Hit paper breakdown →
2011458
3 2001404
4 2011268
5 2001266
6 2008209
7 2010163
8 2000151
9 2003137
10 2007126
11 2005115
12 2014114
13 2008108
14 2002107
15 200997
16 201482
17 200280
18 201979
19 201563
20 200548

About Feinian Chen

Feinian Chen is a scholar working on Gender Studies, Sociology and Political Science, Demography, Health and Management Science and Operations Research, having authored 72 papers that have together received 5k indexed citations. Recurring topics across this work include Intergenerational Family Dynamics and Caregiving (28 papers), Gender, Labor, and Family Dynamics (13 papers), Aging, Health, and Disability (7 papers), Family Dynamics and Relationships (6 papers), Health disparities and outcomes (6 papers), Psychometric Methodologies and Testing (6 papers), Aging, Elder Care, and Social Issues (4 papers) and Migration and Labor Dynamics (4 papers). The work is most often cited by research in Neuropsychology and Physiological Psychology (133 citations), Management Science and Operations Research (721 citations), Demography (439 citations), Gender Studies (443 citations) and Health (286 citations). Feinian Chen has collaborated with scholars based in United States, China and Philippines. Frequent co-authors include Pamela M. Paxton, Patrick J. Curran, Kenneth A. Bollen, Guangya Liu, James B. Kirby, Christine A. Mair, Susan E. Short, Barbara Entwisle, Zhiyong Lin and Yang Yang. Their work appears in journals such as The Journals of Gerontology Series B, Social Science Research, Social Forces, Research on Aging 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.

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