Yanyun Yang

5.4k total citations · 1 hit paper
68 papers, 3.6k citations indexed

About

Yanyun Yang is a scholar working on Management Science and Operations Research, Experimental and Cognitive Psychology and Clinical Psychology. According to data from OpenAlex, Yanyun Yang has authored 68 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Management Science and Operations Research, 20 papers in Experimental and Cognitive Psychology and 19 papers in Clinical Psychology. Recurrent topics in Yanyun Yang's work include Psychometric Methodologies and Testing (22 papers), Advanced Statistical Modeling Techniques (15 papers) and Sleep and related disorders (14 papers). Yanyun Yang is often cited by papers focused on Psychometric Methodologies and Testing (22 papers), Advanced Statistical Modeling Techniques (15 papers) and Sleep and related disorders (14 papers). Yanyun Yang collaborates with scholars based in United States, China and Türkiye. Yanyun Yang's co-authors include Samuel B. Green, Yan Xia, Xianchen Liu, Zhenzhen Liu, Cun-Xian Jia, Fang Fan, Xinya Liang, Lei Mo, Ying Zhang and Ying Guo and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Affective Disorders and SLEEP.

In The Last Decade

Yanyun Yang

64 papers receiving 3.5k citations

Hit Papers

RMSEA, CFI, and TLI in structural equation modeling with ... 2018 2026 2020 2023 2018 250 500 750

Peers

Yanyun Yang
Comparison fields: 5 of 176
  • Clinical Psychology 1.1k
  • Social Psychology 741
  • Experimental and Cognitive Psychology 710
  • Education 684
  • Sociology and Political Science 479
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Christian Geiser United States
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Christian Geiser United States View profile →
Citations per field, relative to Yanyun Yang
Yanyun Yang · 1×
Citations per year, relative to Yanyun Yang
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Countries citing papers authored by Yanyun Yang

Since Specialization
Citations

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

Fields of papers citing papers by Yanyun Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yanyun Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Yanyun Yang. A scholar is included among the top collaborators of Yanyun Yang 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 Yanyun Yang. Yanyun Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 3
3 2
4 3
5 8
6 8
7 7
8 37
9 11
10 5
11 32
12 19
13 20
14
RMSEA, CFI, and TLI in structural equation modeling with ordered categorical data: The story they tell depends on the estimation methods breakdown →
895
15 17
16 56
17 58
18 18
19 22
20 46

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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