Amery D. Wu

29 papers and 1.2k indexed citations i.

About

Amery D. Wu is a scholar working on Management Science and Operations Research, Social Psychology and Statistics and Probability. According to data from OpenAlex, Amery D. Wu has authored 29 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Management Science and Operations Research, 10 papers in Social Psychology and 7 papers in Statistics and Probability. Recurrent topics in Amery D. Wu’s work include Measurement Invariance in Structural Equation Modeling (11 papers), Educational and Psychological Assessments (4 papers) and Advanced Causal Inference Techniques (3 papers). Amery D. Wu is often cited by papers focused on Measurement Invariance in Structural Equation Modeling (11 papers), Educational and Psychological Assessments (4 papers) and Advanced Causal Inference Techniques (3 papers). Amery D. Wu collaborates with scholars based in Canada, United States and Australia. Amery D. Wu's co-authors include Bruno D. Zumbo, Zhen Li, Yan Liu, Sheila K. Marshall, Molly Stewart Lawlor, Kimberly A. Schonert‐Reichl, Kadriye Ercikan, Richard Sawatzky, Oscar L. Olvera Astivia and Anne Gadermann and has published in prestigious journals such as PLoS ONE, Journal of Counseling Psychology and Educational and Psychological Measurement.

In The Last Decade

Co-authorship network of co-authors of Amery D. Wu i

Fields of papers citing papers by Amery D. Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amery D. Wu. 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 Amery D. Wu. The network helps show where Amery D. Wu may publish in the future.

Countries citing papers authored by Amery D. Wu

Since Specialization
Citations

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

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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