Chin‐Lan Huang

512 total citations
10 papers, 300 citations indexed

About

Chin‐Lan Huang is a scholar working on Social Psychology, Clinical Psychology and Applied Psychology. According to data from OpenAlex, Chin‐Lan Huang has authored 10 papers receiving a total of 300 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Social Psychology, 4 papers in Clinical Psychology and 3 papers in Applied Psychology. Recurrent topics in Chin‐Lan Huang's work include Behavioral Health and Interventions (3 papers), Attachment and Relationship Dynamics (2 papers) and 3D Shape Modeling and Analysis (1 paper). Chin‐Lan Huang is often cited by papers focused on Behavioral Health and Interventions (3 papers), Attachment and Relationship Dynamics (2 papers) and 3D Shape Modeling and Analysis (1 paper). Chin‐Lan Huang collaborates with scholars based in Taiwan, United States and Hong Kong. Chin‐Lan Huang's co-authors include Yi-Cheng Lin, Jen‐Ho Chang, James W. Pennebaker, Wei‐Chuan Chen, Cindy K. Chung, Michael Harris Bond, Wenwei Lin, Michael D. Buhrmester, William B. Swann and Chui‐De Chiu and has published in prestigious journals such as Journal of Experimental Social Psychology, Journal of Happiness Studies and Journal of Behavior Therapy and Experimental Psychiatry.

In The Last Decade

Chin‐Lan Huang

10 papers receiving 281 citations

Peers

Chin‐Lan Huang
Comparison fields: 5 of 69
  • Social Psychology 120
  • Clinical Psychology 109
  • Sociology and Political Science 55
  • Artificial Intelligence 54
  • Experimental and Cognitive Psychology 46
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Citations per field, relative to Chin‐Lan Huang
Chin‐Lan Huang · 1×
Citations per year, relative to Chin‐Lan Huang
Chin‐Lan Huang · 1×

Countries citing papers authored by Chin‐Lan Huang

Since Specialization
Citations

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

Fields of papers citing papers by Chin‐Lan Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chin‐Lan Huang. 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 Chin‐Lan Huang. The network helps show where Chin‐Lan Huang may publish in the future.

Co-authorship network of co-authors of Chin‐Lan Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Chin‐Lan Huang. A scholar is included among the top collaborators of Chin‐Lan Huang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chin‐Lan Huang. Chin‐Lan Huang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
# Work Indexed citations
1
The Chinese version of the compassionate and self-image goal scale and its relationship with self-regulation.
1
2 16
3 93
4
The development of the Chinese linguistic inquiry and word count dictionary.
94
5 11
6 27
7 10
8 29
9 18
10 1

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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2026