Sharon Lynn Chu

120 total papers · 1.1k total citations
72 papers, 730 citations indexed

About

Sharon Lynn Chu is a scholar working on Computer Science Applications, Human-Computer Interaction and Developmental and Educational Psychology. According to data from OpenAlex, Sharon Lynn Chu has authored 72 papers receiving a total of 730 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computer Science Applications, 24 papers in Human-Computer Interaction and 19 papers in Developmental and Educational Psychology. Recurrent topics in Sharon Lynn Chu's work include Teaching and Learning Programming (22 papers), Innovative Human-Technology Interaction (18 papers) and Design Education and Practice (14 papers). Sharon Lynn Chu is often cited by papers focused on Teaching and Learning Programming (22 papers), Innovative Human-Technology Interaction (18 papers) and Design Education and Practice (14 papers). Sharon Lynn Chu collaborates with scholars based in United States, Singapore and Canada. Sharon Lynn Chu's co-authors include Francis Quek, Rebecca J. Schlegel, Andrew G. Christy, Kaiyuan Chen, Genna Angello, Henry Been‐Lirn Duh, Alan J. H. McGaughey, Chris North, Jinsil Hwaryoung Seo and Sarah Anne Brown and has published in prestigious journals such as SHILAP Revista de lepidopterología, Computers & Education and Meat Science.

In The Last Decade

Sharon Lynn Chu

62 papers receiving 700 citations

Author Peers

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

Author						Papers	Cites
Sharon Lynn Chu	255	238	170	134	119	72	730
Breanne Krystine Litts	410 1.6×	192 0.8×	152 0.9×	160 1.2×	153 1.3×	46	754
Janette Hughes	185 0.7×	194 0.8×	312 1.8×	190 1.4×	37 0.3×	85	889
Spyros Vosinakis	120 0.5×	301 1.3×	68 0.4×	148 1.1×	65 0.5×	57	727
Matthew W. Easterday	172 0.7×	80 0.3×	211 1.2×	232 1.7×	51 0.4×	41	677
Viktoria Pammer‐Schindler	183 0.7×	133 0.6×	158 0.9×	173 1.3×	20 0.2×	104	820
Lee Martin	307 1.2×	112 0.5×	280 1.6×	154 1.1×	180 1.5×	43	809
Christos Katsanos	106 0.4×	167 0.7×	88 0.5×	43 0.3×	68 0.6×	46	707
Wafa Johal	125 0.5×	234 1.0×	201 1.2×	152 1.1×	60 0.5×	74	904
Craig Stewart	213 0.8×	343 1.4×	90 0.5×	280 2.1×	27 0.2×	76	897
Katherine Chiluiza	385 1.5×	70 0.3×	211 1.2×	322 2.4×	54 0.5×	54	787

Countries citing papers authored by Sharon Lynn Chu

Since Specialization

Citations

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

Fields of papers citing papers by Sharon Lynn Chu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sharon Lynn Chu. 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 Sharon Lynn Chu. The network helps show where Sharon Lynn Chu may publish in the future.

Co-authorship network of co-authors of Sharon Lynn Chu

This figure shows the co-authorship network connecting the top 25 collaborators of Sharon Lynn Chu. A scholar is included among the top collaborators of Sharon Lynn Chu 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 Sharon Lynn Chu. Sharon Lynn Chu 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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