Su‐hua Wang

53 total papers · 546 total citations
34 papers, 303 citations indexed

About

Su‐hua Wang is a scholar working on Developmental and Educational Psychology, Education and Information Systems. According to data from OpenAlex, Su‐hua Wang has authored 34 papers receiving a total of 303 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Developmental and Educational Psychology, 11 papers in Education and 6 papers in Information Systems. Recurrent topics in Su‐hua Wang's work include Child and Animal Learning Development (16 papers), Language Development and Disorders (5 papers) and Early Childhood Education and Development (5 papers). Su‐hua Wang is often cited by papers focused on Child and Animal Learning Development (16 papers), Language Development and Disorders (5 papers) and Early Childhood Education and Development (5 papers). Su‐hua Wang collaborates with scholars based in United States, China and Taiwan. Su‐hua Wang's co-authors include Andrea Frick, Renée Baillargeon, Elena Hoicka, Stephen R. Mitroff, Todd L. Sandel, Peggy J. Miller, Grace E. Cho, Maureen A. Callanan, Kristine H. Onishi and George C. Bunch and has published in prestigious journals such as Child Development, Developmental Psychology and Cognitive Psychology.

In The Last Decade

Su‐hua Wang

31 papers receiving 282 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Su‐hua Wang	193	83	62	60	52	34	303
Jamie Lingwood	163 0.8×	150 1.8×	56 0.9×	22 0.4×	50 1.0×	16	319
Igor Bascandziev	198 1.0×	108 1.3×	14 0.2×	46 0.8×	85 1.6×	18	298
Stuart Reifel	99 0.5×	194 2.3×	70 1.1×	17 0.3×	21 0.4×	30	350
Ayesha Ahmed	158 0.8×	164 2.0×	14 0.2×	35 0.6×	49 0.9×	22	363
Tamara Spiewak Toub	180 0.9×	230 2.8×	30 0.5×	39 0.7×	30 0.6×	13	348
Kelsey Lucca	223 1.2×	108 1.3×	20 0.3×	101 1.7×	66 1.3×	19	345
Michael McGhee	83 0.4×	48 0.6×	17 0.3×	64 1.1×	41 0.8×	31	307
Pat-Anthony Federico	132 0.7×	103 1.2×	14 0.2×	55 0.9×	46 0.9×	26	314
Leslie J. Fyans	64 0.3×	118 1.4×	35 0.6×	92 1.5×	27 0.5×	19	297
Michael P. Verdi	135 0.7×	96 1.2×	106 1.7×	21 0.3×	42 0.8×	21	353

Countries citing papers authored by Su‐hua Wang

Since Specialization

Citations

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

Fields of papers citing papers by Su‐hua Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Su‐hua Wang. 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 Su‐hua Wang. The network helps show where Su‐hua Wang may publish in the future.

Co-authorship network of co-authors of Su‐hua Wang

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

All Works

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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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