Fan Yang‐Wallentin

1.3k total citations
20 papers, 865 citations indexed

About

Fan Yang‐Wallentin is a scholar working on Statistics and Probability, Sociology and Political Science and Computer Networks and Communications. According to data from OpenAlex, Fan Yang‐Wallentin has authored 20 papers receiving a total of 865 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Statistics and Probability, 4 papers in Sociology and Political Science and 3 papers in Computer Networks and Communications. Recurrent topics in Fan Yang‐Wallentin's work include Statistical Methods and Bayesian Inference (5 papers), Statistical Methods and Inference (4 papers) and Advanced Statistical Modeling Techniques (3 papers). Fan Yang‐Wallentin is often cited by papers focused on Statistical Methods and Bayesian Inference (5 papers), Statistical Methods and Inference (4 papers) and Advanced Statistical Modeling Techniques (3 papers). Fan Yang‐Wallentin collaborates with scholars based in Sweden, United Kingdom and United States. Fan Yang‐Wallentin's co-authors include Karl G. Jöreskog, Ranjula Bali Swain, Hao Luo, Ke‐Hai Yuan, Peter M. Bentler, Irini Moustaki, Ann‐Margret Rydell, Sebastian Bamberg, Eldad Davidov and Peter Schmidt and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, Automatica and Psychometrika.

In The Last Decade

Fan Yang‐Wallentin

19 papers receiving 830 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Fan Yang‐Wallentin Sweden 13 153 142 135 102 92 20 865
Meghan K. Cain United States 7 84 0.5× 184 1.3× 76 0.6× 127 1.2× 132 1.4× 8 1.0k
Jonathan Nevitt United States 10 149 1.0× 283 2.0× 175 1.3× 333 3.3× 243 2.6× 13 1.4k
David Goretzko Germany 10 37 0.2× 99 0.7× 90 0.7× 113 1.1× 100 1.1× 27 692
Miguel I. Aguirre‐Urreta United States 12 31 0.2× 252 1.8× 90 0.7× 110 1.1× 75 0.8× 41 970
Enrico Ciavolino Italy 19 133 0.9× 215 1.5× 112 0.8× 125 1.2× 83 0.9× 81 1.1k
Sigurd Villads Troye Norway 6 56 0.4× 439 3.1× 83 0.6× 145 1.4× 88 1.0× 10 1.3k
Rolf Langeheine Germany 15 386 2.5× 235 1.7× 264 2.0× 184 1.8× 125 1.4× 37 1.4k
Gyeongcheol Cho Canada 14 34 0.2× 156 1.1× 84 0.6× 101 1.0× 64 0.7× 27 811
Diep Nguyen Australia 16 41 0.3× 233 1.6× 62 0.5× 166 1.6× 76 0.8× 54 949
Phill Gagné United States 10 67 0.4× 115 0.8× 97 0.7× 153 1.5× 135 1.5× 20 775

Countries citing papers authored by Fan Yang‐Wallentin

Since Specialization
Citations

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

Fields of papers citing papers by Fan Yang‐Wallentin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fan Yang‐Wallentin

This figure shows the co-authorship network connecting the top 25 collaborators of Fan Yang‐Wallentin. A scholar is included among the top collaborators of Fan Yang‐Wallentin 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 Fan Yang‐Wallentin. Fan Yang‐Wallentin 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
1.
Bartusch, Cajsa, et al.. (2023). Opening the black box of demand response: Exploring the cognitive processes. Renewable and Sustainable Energy Reviews. 189. 113925–113925. 4 indexed citations
2.
Yang‐Wallentin, Fan, et al.. (2021). A unified model-implied instrumental variable approach for structural equation modeling with mixed variables. Psychometrika. 86(2). 564–594. 4 indexed citations
3.
Noh, Maengseok, et al.. (2021). Robust nonlinear structural equation modeling with interaction between exogenous and endogenous latent variables. Structural Equation Modeling A Multidisciplinary Journal. 28(4). 547–556. 9 indexed citations
4.
Yang‐Wallentin, Fan, et al.. (2020). Generalized Linear Factor Score Regression: A Comparison of Four Methods. Educational and Psychological Measurement. 81(4). 617–643. 9 indexed citations
5.
Vegelius, Johan, et al.. (2020). A Marginal Maximum Likelihood Approach for Extended Quadratic Structural Equation Modeling with Ordinal Data. Structural Equation Modeling A Multidisciplinary Journal. 27(6). 864–873. 19 indexed citations
6.
Swain, Ranjula Bali & Fan Yang‐Wallentin. (2019). Achieving sustainable development goals: predicaments and strategies. International Journal of Sustainable Development & World Ecology. 27(2). 96–106. 185 indexed citations
7.
Moustaki, Irini, et al.. (2018). Approximated Penalized Maximum Likelihood for Exploratory Factor Analysis: An Orthogonal Case. Psychometrika. 83(3). 628–649. 16 indexed citations
8.
Yang‐Wallentin, Fan, et al.. (2016). Asymptotic Robustness Study of the Polychoric Correlation Estimation. Psychometrika. 82(1). 67–85. 14 indexed citations
9.
Luo, Hao, et al.. (2016). A Simulation Study of Polychoric Instrumental Variable Estimation in Structural Equation Models. Structural Equation Modeling A Multidisciplinary Journal. 23(5). 680–694. 17 indexed citations
10.
Söderström, Torsten, et al.. (2016). Errors-in-variables system identification using structural equation modeling. Automatica. 66. 218–230. 22 indexed citations
11.
Yang‐Wallentin, Fan, et al.. (2015). Asymptotic efficiency of the pseudo‐maximum likelihood estimator in multi‐group factor models with pooled data. British Journal of Mathematical and Statistical Psychology. 69(1). 20–42.
12.
Söderström, Torsten, et al.. (2013). Errors-in-variables identification using covariance matching and structural equation modeling. 43. 5852–5857. 2 indexed citations
13.
Rydell, Ann‐Margret, et al.. (2013). ADHD symptoms, academic achievement, self‐perception of academic competence and future orientation: A longitudinal study. Scandinavian Journal of Psychology. 54(3). 205–212. 72 indexed citations
14.
Yuan, Ke‐Hai, Fan Yang‐Wallentin, & Peter M. Bentler. (2012). ML Versus MI for Missing Data With Violation of Distribution Conditions. Sociological Methods & Research. 41(4). 598–629. 77 indexed citations
15.
Moustaki, Irini, et al.. (2012). Pairwise likelihood estimation for factor analysis models with ordinal data. Computational Statistics & Data Analysis. 56(12). 4243–4258. 81 indexed citations
16.
Akrami, Nazar, Bo Ekehammar, & Fan Yang‐Wallentin. (2011). Personality and Social Psychology Factors Explaining Sexism. Journal of Individual Differences. 32(3). 153–160. 18 indexed citations
17.
Yang‐Wallentin, Fan, Karl G. Jöreskog, & Hao Luo. (2010). Confirmatory Factor Analysis of Ordinal Variables With Misspecified Models. Structural Equation Modeling A Multidisciplinary Journal. 17(3). 392–423. 248 indexed citations
18.
Ekehammar, Bo, Nazar Akrami, & Fan Yang‐Wallentin. (2009). Ethnic Prejudice: A Combined Personality and Social Psychology Model. 7(4). 255–264. 6 indexed citations
19.
Abramsson-Zetterberg, Lilianne, et al.. (2006). The impact of folate status and folic acid supplementation on the micronucleus frequency in human erythrocytes. Mutation Research/Genetic Toxicology and Environmental Mutagenesis. 603(1). 33–40. 22 indexed citations
20.
Yang‐Wallentin, Fan, Peter Schmidt, Eldad Davidov, & Sebastian Bamberg. (2003). Is There Any Interaction Effect Between Intention and Perceived Behavioral Control?. Psychology Archives. 8(2). 127–157. 40 indexed citations

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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