Jin Xue

34 total papers · 502 total citations
24 papers, 345 citations indexed

About

Jin Xue is a scholar working on Developmental and Educational Psychology, Cognitive Neuroscience and Experimental and Cognitive Psychology. According to data from OpenAlex, Jin Xue has authored 24 papers receiving a total of 345 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Developmental and Educational Psychology, 14 papers in Cognitive Neuroscience and 9 papers in Experimental and Cognitive Psychology. Recurrent topics in Jin Xue's work include Reading and Literacy Development (13 papers), Neurobiology of Language and Bilingualism (12 papers) and Language Development and Disorders (9 papers). Jin Xue is often cited by papers focused on Reading and Literacy Development (13 papers), Neurobiology of Language and Bilingualism (12 papers) and Language Development and Disorders (9 papers). Jin Xue collaborates with scholars based in China, United States and Canada. Jin Xue's co-authors include Hua Shu, Hong Li, Wenling Li, Fernando Marmolejo‐Ramos, Catherine McBride‐Chang, Xiaoyi Tang, Jie Yang, Xiaoming Jiang, Tongtong Liu and Jin Liu and has published in prestigious journals such as Brain Research, IEEE Access and Neuropsychologia.

In The Last Decade

Jin Xue

20 papers receiving 335 citations

Author Peers

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

Author Last Decade Papers Cites
Jin Xue 248 152 90 65 55 24 345
Maria Ktori 243 1.0× 192 1.3× 66 0.7× 97 1.5× 44 0.8× 21 403
Isabel Gómez Veiga 217 0.9× 108 0.7× 86 1.0× 88 1.4× 144 2.6× 29 397
Robert Mulcahy 225 0.9× 110 0.7× 30 0.3× 69 1.1× 90 1.6× 28 333
S. Farnham-Diggory 201 0.8× 80 0.5× 51 0.6× 104 1.6× 135 2.5× 24 399
Estelle A. Doctor 307 1.2× 136 0.9× 88 1.0× 38 0.6× 92 1.7× 16 346
Birgit Knudsen 240 1.0× 130 0.9× 58 0.6× 57 0.9× 51 0.9× 14 355
Kejin Lee 219 0.9× 73 0.5× 149 1.7× 44 0.7× 147 2.7× 17 362
José Óscar Vila Chaves 193 0.8× 110 0.7× 81 0.9× 87 1.3× 117 2.1× 17 349
Connie Qun Guan 254 1.0× 102 0.7× 35 0.4× 63 1.0× 153 2.8× 22 362
Simon P. Tiffin‐Richards 218 0.9× 92 0.6× 37 0.4× 49 0.8× 136 2.5× 27 349

Countries citing papers authored by Jin Xue

Since Specialization
Citations

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

Fields of papers citing papers by Jin Xue

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jin Xue

This figure shows the co-authorship network connecting the top 25 collaborators of Jin Xue. A scholar is included among the top collaborators of Jin Xue 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 Jin Xue. Jin Xue 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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