Eun Kyoung Choe

4.1k total citations · 1 hit paper
73 papers, 2.8k citations indexed

About

Eun Kyoung Choe is a scholar working on Human-Computer Interaction, General Health Professions and Demography. According to data from OpenAlex, Eun Kyoung Choe has authored 73 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Human-Computer Interaction, 23 papers in General Health Professions and 18 papers in Demography. Recurrent topics in Eun Kyoung Choe's work include Innovative Human-Technology Interaction (42 papers), Mobile Health and mHealth Applications (22 papers) and Technology Use by Older Adults (18 papers). Eun Kyoung Choe is often cited by papers focused on Innovative Human-Technology Interaction (42 papers), Mobile Health and mHealth Applications (22 papers) and Technology Use by Older Adults (18 papers). Eun Kyoung Choe collaborates with scholars based in United States, United Kingdom and South Korea. Eun Kyoung Choe's co-authors include Bongshin Lee, Julie A. Kientz, Wanda Pratt, Bongshin Lee, Matthew Kay, Nathaniel F. Watson, Sunny Consolvo, Yuhan Luo, Jinwook Seo and Matthew Brehmer and has published in prestigious journals such as PLoS ONE, Journal of Medical Internet Research and Journal of the American Medical Informatics Association.

In The Last Decade

Eun Kyoung Choe

70 papers receiving 2.7k citations

Hit Papers

Understanding quantified-selfers' practices in collecting... 2014 2026 2018 2022 2014 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Eun Kyoung Choe United States 28 1.4k 581 561 524 472 73 2.8k
Daniel A. Epstein United States 22 1.5k 1.1× 719 1.2× 654 1.2× 174 0.3× 530 1.1× 82 2.6k
Ian Li United States 15 1.1k 0.8× 418 0.7× 312 0.6× 315 0.6× 273 0.6× 24 1.7k
Mark Newman United States 30 1.5k 1.0× 283 0.5× 328 0.6× 791 1.5× 558 1.2× 157 3.4k
Corina Sas United Kingdom 31 1.4k 1.0× 517 0.9× 203 0.4× 231 0.4× 612 1.3× 149 3.1k
Evangelos Karapanos Portugal 24 1.2k 0.9× 308 0.5× 177 0.3× 248 0.5× 838 1.8× 87 2.7k
Amanda Lazar United States 28 1.0k 0.7× 321 0.6× 421 0.8× 225 0.4× 378 0.8× 84 2.8k
Anind K. Dey United States 20 1.3k 0.9× 189 0.3× 190 0.3× 493 0.9× 343 0.7× 29 2.2k
Kay Connelly United States 27 654 0.5× 289 0.5× 536 1.0× 300 0.6× 452 1.0× 99 2.2k
David Coyle Ireland 33 674 0.5× 1.2k 2.1× 817 1.5× 174 0.3× 810 1.7× 105 3.9k
Kelly Caine United States 27 603 0.4× 168 0.3× 382 0.7× 401 0.8× 690 1.5× 100 2.5k

Countries citing papers authored by Eun Kyoung Choe

Since Specialization
Citations

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

Fields of papers citing papers by Eun Kyoung Choe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eun Kyoung Choe. 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 Eun Kyoung Choe. The network helps show where Eun Kyoung Choe may publish in the future.

Co-authorship network of co-authors of Eun Kyoung Choe

This figure shows the co-authorship network connecting the top 25 collaborators of Eun Kyoung Choe. A scholar is included among the top collaborators of Eun Kyoung Choe 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 Eun Kyoung Choe. Eun Kyoung Choe 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
1.
Su, Norman Makoto, Eun Kyoung Choe, Hernisa Kacorri, et al.. (2025). Tracking and its Potential for Older Adults with Memory Concerns. PubMed. 2025. 1–15.
2.
Wang, Lining, Young‐Ho Kim, Bongshin Lee, et al.. (2025). From Verbal Reports to Personalized Activity Trackers: Understanding the Challenges of Ground Truth Data Collection with Older Adults in the Wild. Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies. 9(2). 1–33.
3.
Lee, Sunghoon Ivan, et al.. (2024). GoalTrack: Supporting Personalized Goal-Setting in Stroke Rehabilitation with Multimodal Activity Journaling. Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies. 8(4). 1–29. 1 indexed citations
4.
Lee, Bongshin, et al.. (2024). Databiting: Lightweight, Transient, and Insight Rich Exploration of Personal Data. IEEE Computer Graphics and Applications. 44(2). 65–72. 2 indexed citations
5.
Lee, Bongshin, et al.. (2024). Visual Cues for Data Analysis Features Amplify Challenges for Blind Spreadsheet Users. 1–16. 1 indexed citations
6.
Lee, Bongshin, et al.. (2024). Identify, Adapt, Persist. Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies. 8(2). 1–21. 1 indexed citations
7.
Kim, Young‐Ho, Bongshin Lee, Margaret Danilovich, et al.. (2024). Redefining Activity Tracking Through Older Adults' Reflections on Meaningful Activities. 1–15. 3 indexed citations
8.
Lee, Bongshin, et al.. (2023). Decorative, Evocative, and Uncanny: Reactions on Ambient-to-Disruptive Health Notifications via Plant-Mimicking Shape-Changing Interfaces. University Libraries (University of Maryland). 1–16. 8 indexed citations
9.
Lee, Bongshin, et al.. (2023). Personal Health Data Tracking by Blind and Low-Vision People: Survey Study. Journal of Medical Internet Research. 25. e43917–e43917. 6 indexed citations
10.
Luo, Yuhan, Bongshin Lee, Young‐Ho Kim, & Eun Kyoung Choe. (2022). NoteWordy: Investigating Touch and Speech Input on Smartphones for Personal Data Capture. Proceedings of the ACM on Human-Computer Interaction. 6(ISS). 568–591. 6 indexed citations
11.
Lee, Bongshin, et al.. (2022). Investigating In-Situ Personal Health Data Queries on Smartwatches. Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies. 6(4). 1–19. 6 indexed citations
12.
13.
Taylor, Casey Overby, et al.. (2021). Willingness to Share Wearable Device Data for Research Among Mechanical Turk Workers: Web-Based Survey Study. Journal of Medical Internet Research. 23(10). e19789–e19789. 5 indexed citations
14.
Choe, Eun Kyoung, Yuhan Luo, Alain Kaelin‐Lang, et al.. (2021). The SleepFit Tablet Application for Home-Based Clinical Data Collection in Parkinson Disease: User-Centric Development and Usability Study. JMIR mhealth and uhealth. 9(6). e16304–e16304. 4 indexed citations
15.
Beck, Jordan, et al.. (2020). Inciting Incidents: How Can We Motivate Family Conversations about Health?. International Journal of Human-Computer Interaction. 36(12). 1122–1135. 1 indexed citations
16.
Lee, Sunghoon Ivan, et al.. (2019). A novel upper-limb function measure derived from finger-worn sensor data collected in a free-living setting. PLoS ONE. 14(3). e0212484–e0212484. 34 indexed citations
17.
Luo, Yuhan, Bongshin Lee, Donghee Yvette Wohn, et al.. (2018). Time for Break. Acquire (CQUniversity). 1–14. 52 indexed citations
18.
Choe, Eun Kyoung, Bongshin Lee, Tariq Osman Andersen, Lauren Wilcox, & Geraldine Fitzpatrick. (2018). Harnessing the Power of Patient-Generated Data. IEEE Pervasive Computing. 17(2). 50–56. 12 indexed citations
19.
Luo, Yuhan, et al.. (2017). Making Space for the Quality Care. 5773–5786. 13 indexed citations
20.
Choe, Eun Kyoung, Sunny Consolvo, Jaeyeon Jung, et al.. (2012). Investigating receptiveness to sensing and inference in the home using sensor proxies. 61–70. 53 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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