Sin‐Hwa Kang

53 total papers · 1.1k total citations
30 papers, 651 citations indexed

About

Sin‐Hwa Kang is a scholar working on Social Psychology, Human-Computer Interaction and Literature and Literary Theory. According to data from OpenAlex, Sin‐Hwa Kang has authored 30 papers receiving a total of 651 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Social Psychology, 12 papers in Human-Computer Interaction and 10 papers in Literature and Literary Theory. Recurrent topics in Sin‐Hwa Kang's work include Media Influence and Health (10 papers), Virtual Reality Applications and Impacts (8 papers) and Team Dynamics and Performance (7 papers). Sin‐Hwa Kang is often cited by papers focused on Media Influence and Health (10 papers), Virtual Reality Applications and Impacts (8 papers) and Team Dynamics and Performance (7 papers). Sin‐Hwa Kang collaborates with scholars based in United States, Australia and Germany. Sin‐Hwa Kang's co-authors include Jonathan Gratch, Astrid M. von der Pütten, Nicole C. Krämer, James H. Watt, Andrew Feng, Ari Shapiro, Ning Wang, David M. Krum, Sahil Narang and Kalin Stefanov and has published in prestigious journals such as Computers in Human Behavior, Studies in health technology and informatics and Computer Animation and Virtual Worlds.

In The Last Decade

Sin‐Hwa Kang

28 papers receiving 624 citations

Author Peers

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

Author						Papers	Cites
Sin‐Hwa Kang	342	219	205	156	96	30	651
Peter Ohler	198 0.6×	88 0.4×	144 0.7×	199 1.3×	120 1.3×	42	601
Victoria Groom	454 1.3×	168 0.8×	194 0.9×	166 1.1×	121 1.3×	17	683
Laura Aymerich-Franch	272 0.8×	243 1.1×	85 0.4×	54 0.3×	162 1.7×	36	553
Helen Harris	321 0.9×	123 0.6×	110 0.5×	162 1.0×	68 0.7×	45	741
Robin Welsch	229 0.7×	264 1.2×	87 0.4×	75 0.5×	176 1.8×	48	695
Béatrice S. Hasler	217 0.6×	221 1.0×	73 0.4×	156 1.0×	85 0.9×	23	679
Alena Denisova	102 0.3×	184 0.8×	119 0.6×	254 1.6×	104 1.1×	33	623
Madison Klarkowski	106 0.3×	125 0.6×	101 0.5×	337 2.2×	70 0.7×	39	616
Leigh Clark	283 0.8×	174 0.8×	481 2.3×	57 0.4×	42 0.4×	38	698
Sandy J. J. Gould	124 0.4×	264 1.2×	53 0.3×	231 1.5×	107 1.1×	52	767

Countries citing papers authored by Sin‐Hwa Kang

Since Specialization

Citations

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

Fields of papers citing papers by Sin‐Hwa Kang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sin‐Hwa Kang. 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 Sin‐Hwa Kang. The network helps show where Sin‐Hwa Kang may publish in the future.

Co-authorship network of co-authors of Sin‐Hwa Kang

This figure shows the co-authorship network connecting the top 25 collaborators of Sin‐Hwa Kang. A scholar is included among the top collaborators of Sin‐Hwa Kang 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 Sin‐Hwa Kang. Sin‐Hwa Kang 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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