Jean Song

411 total citations
33 papers, 280 citations indexed

About

Jean Song is a scholar working on Artificial Intelligence, Computer Science Applications and General Health Professions. According to data from OpenAlex, Jean Song has authored 33 papers receiving a total of 280 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 8 papers in Computer Science Applications and 6 papers in General Health Professions. Recurrent topics in Jean Song's work include Mobile Crowdsensing and Crowdsourcing (7 papers), Health Sciences Research and Education (5 papers) and Personal Information Management and User Behavior (3 papers). Jean Song is often cited by papers focused on Mobile Crowdsensing and Crowdsourcing (7 papers), Health Sciences Research and Education (5 papers) and Personal Information Management and User Behavior (3 papers). Jean Song collaborates with scholars based in United States, South Korea and Canada. Jean Song's co-authors include Juho Kim, John Joon Young Chung, Walter S. Lasecki, Yoon-Joo Lee, Judith Smith, Kyle L. Grazier, Minsuk Chang, Sung-Soo Hong, Insik Shin and Tae Soo Kim and has published in prestigious journals such as BMC Bioinformatics, BMC Genomics and Proceedings of the ACM on Human-Computer Interaction.

In The Last Decade

Jean Song

31 papers receiving 267 citations

Peers

Jean Song
Neil Barrett Taiwan
Styliani Kleanthous Cyprus
Aaron Springer United States
Zhenhui Peng Hong Kong
Ilona Buchem Germany
Permanand Mohan Trinidad and Tobago
Lisa Neal United States
Qiaosi Wang United States
Hanna Schneider Germany
Mona Masood Malaysia
Neil Barrett Taiwan
Jean Song
Citations per year, relative to Jean Song Jean Song (= 1×) peers Neil Barrett

Countries citing papers authored by Jean Song

Since Specialization
Citations

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

Fields of papers citing papers by Jean Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jean Song

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

All Works

20 of 20 papers shown
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Kim, Sunjun, et al.. (2024). Exploring Intervention Techniques to Alleviate Negative Emotions during Video Content Moderation Tasks as a Worker-centered Task Design. Designing Interactive Systems Conference. 1701–1721. 4 indexed citations
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Han, Dongyoon, Junsuk Choe, John Joon Young Chung, et al.. (2023). Neglected Free Lunch – Learning Image Classifiers Using Annotation Byproducts. 34. 20143–20155. 1 indexed citations
7.
Lee, Yoon-Joo, John Joon Young Chung, Tae Soo Kim, Jean Song, & Juho Kim. (2022). Promptiverse: Scalable Generation of Scaffolding Prompts Through Human-AI Hybrid Knowledge Graph Annotation. CHI Conference on Human Factors in Computing Systems. 1–18. 18 indexed citations
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Chen, Yan, et al.. (2020). Improving Crowd-Supported GUI Testing with Structural Guidance. 1–13. 15 indexed citations
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Song, Jean, John Joon Young Chung, David F. Fouhey, & Walter S. Lasecki. (2020). C-Reference: Improving 2D to 3D Object Pose Estimation Accuracy via Crowdsourced Joint Object Estimation. Proceedings of the ACM on Human-Computer Interaction. 4(CSCW1). 1–28. 6 indexed citations
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Chung, John Joon Young, et al.. (2019). Efficient Elicitation Approaches to Estimate Collective Crowd Answers. Proceedings of the ACM on Human-Computer Interaction. 3(CSCW). 1–25. 31 indexed citations
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Song, Jean, Michael Xieyang Liu, Shiyan Yan, et al.. (2019). Popup. 558–569. 11 indexed citations
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MacEachern, Mark, et al.. (2017). Interdisciplinary Collaboration: Librarian Involvement in Grant Projects. College & Research Libraries. 78(3). 272–272. 11 indexed citations
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MacEachern, Mark, et al.. (2017). Interdisciplinary Collaboration: Librarian Involvement in Grant Projects. College & Research Libraries. 78(3). 2 indexed citations
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Smith, Judith, et al.. (2014). Innovative information service development: meeting the information needs of an interdisciplinary, cross-sector research complex. Journal of the Medical Library Association JMLA. 102(1). 8–13. 4 indexed citations
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Jordan, Karen, et al.. (2014). One Institution's Experience in Transforming the Health Sciences Library of the Future. Medical Reference Services Quarterly. 33(1). 1–16. 13 indexed citations
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Song, Jean, et al.. (2012). Broadening instructional scope with network visualization. Journal of the Medical Library Association JMLA. 100(4). 313–316. 4 indexed citations
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Song, Jean, et al.. (2011). National Institutes of Health public access policy and the University of Michigan Libraries' role in assisting with depositing to PubMed Central. Journal of the Medical Library Association JMLA. 99(1). 97–99. 10 indexed citations
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Dai, Manhong, et al.. (2010). Cross-domain neurobiology data integration and exploration. BMC Genomics. 11(Suppl 3). S6–S6. 14 indexed citations
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Anderson, Paul F., et al.. (2009). An online and social media training curricula to facilitate bench-to-bedside information transfer. Queensland's institutional digital repository (The University of Queensland). 1–11. 8 indexed citations
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Dai, Manhong, et al.. (2009). Open Biomedical Ontology-based Medline exploration. BMC Bioinformatics. 10(S5). S6–S6. 9 indexed citations

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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