Chiaying Wei

587 citations
13 papers · 375 · h-index 9

Impact in

Papers in

Chiaying Wei

13 papers receiving 364 citations

Peers

Chiaying Wei
Comparison fields: 5 of 53
  • Clinical Psychology 297
  • Experimental and Cognitive Psychology 130
  • Applied Psychology 34
  • Social Psychology 83
  • Education 90
Replace Anna J. Swan with:
Anna J. Swan United States
Jennifer L. Podell United States
Jeremy S. Peterman United States
Alicia A. Hughes United States
Alexander H. Queen United States
Jessica S. Benas United States
Marie‐Lotte Van Beveren Belgium
Charlotte Eline Verboom Netherlands
Lori V. Turner United States
Megan Jeffreys United States
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Citations per field
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Citations per year

Countries citing papers authored by Chiaying Wei

Since Specialization
Citations

This map shows the geographic impact of Chiaying Wei'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 Chiaying Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chiaying Wei more than expected).

Fields of papers citing papers by Chiaying Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chiaying Wei. 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 Chiaying Wei. The network helps show where Chiaying Wei may publish in the future.

Co-authors

The 25 scholars most cited alongside Chiaying Wei, 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 Chiaying Wei Line = papers co-authored together Chiaying Wei links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 201385
2 201464
3 201254
4 201938
5 201437
6 201425
7 201622
8 201216
9 201410
10 20237
11 20176
12 20186
13 20175

About Chiaying Wei

Chiaying Wei is a scholar working on Clinical Psychology, Experimental and Cognitive Psychology, Public Health, Environmental and Occupational Health, Education and Social Psychology, having authored 13 papers that have together received 375 indexed citations. Recurring topics across this work include Child and Adolescent Psychosocial and Emotional Development (11 papers), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (7 papers), Maternal Mental Health During Pregnancy and Postpartum (5 papers), Early Childhood Education and Development (3 papers), Youth Substance Use and School Attendance (3 papers), Child Nutrition and Feeding Issues (1 paper), Bullying, Victimization, and Aggression (1 paper) and Child Abuse and Trauma (1 paper). The work is most often cited by research in Clinical Psychology (297 citations), Experimental and Cognitive Psychology (130 citations), Applied Psychology (34 citations), Social Psychology (83 citations) and Education (90 citations). Chiaying Wei has collaborated with scholars based in United States, Puerto Rico and Norway. Frequent co-authors include Philip C. Kendall, Jeremy S. Peterman, Cristiane S. Duarte, Kendra L. Read, Rinad S. Beidas, Laura Mufson, Ana Ortin‐Peralta, Douglas M. Brodman, Marianne Aalberg and Courtney Benjamin Wolk. Their work appears in journals such as Cognitive and Behavioral Practice, Journal of Family Psychology, Journal of Psychiatric Research, Journal of Clinical Child & Adolescent Psychology and Biological Psychiatry.

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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