Jinhan Choi

420 total citations
9 papers, 239 citations indexed

About

Jinhan Choi is a scholar working on Computer Vision and Pattern Recognition, Sociology and Political Science and Cognitive Neuroscience. According to data from OpenAlex, Jinhan Choi has authored 9 papers receiving a total of 239 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 4 papers in Sociology and Political Science and 2 papers in Cognitive Neuroscience. Recurrent topics in Jinhan Choi's work include Data Visualization and Analytics (4 papers), Explainable Artificial Intelligence (XAI) (2 papers) and Online and Blended Learning (2 papers). Jinhan Choi is often cited by papers focused on Data Visualization and Analytics (4 papers), Explainable Artificial Intelligence (XAI) (2 papers) and Online and Blended Learning (2 papers). Jinhan Choi collaborates with scholars based in South Korea and United States. Jinhan Choi's co-authors include Bongwon Suh, Changhoon Oh, Sungwoo Lee, Jungwoo Song, Seonghyeon Kim, So‐Hyun Park, Joonhwan Lee, Nam Wook Kim, Sun Huh and Jeongyun Han and has published in prestigious journals such as IEEE Transactions on Visualization and Computer Graphics and Educational Technology Research and Development.

In The Last Decade

Jinhan Choi

9 papers receiving 228 citations

Peers

Jinhan Choi
Jeba Rezwana United States
Savvas Petridis United States
Andy Coenen United States
Marian Mazzone United States
Lewis Baker United States
Emmanuel Johnson United States
Janin Koch Finland
Rhema Linder United States
Qian Pan United States
Jeba Rezwana United States
Jinhan Choi
Citations per year, relative to Jinhan Choi Jinhan Choi (= 1×) peers Jeba Rezwana

Countries citing papers authored by Jinhan Choi

Since Specialization
Citations

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

Fields of papers citing papers by Jinhan Choi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinhan Choi

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

All Works

9 of 9 papers shown
1.
Choi, Jinhan, Changhoon Oh, Yea‐Seul Kim, & Nam Wook Kim. (2023). VisLab: Enabling Visualization Designers to Gather Empirically Informed Design Feedback. 1–18. 5 indexed citations
2.
Troidl, Jakob, Jinhan Choi, Jordan Matelsky, et al.. (2023). ViMO - Visual Analysis of Neuronal Connectivity Motifs. IEEE Transactions on Visualization and Computer Graphics. 30(1). 748–758. 5 indexed citations
3.
Choi, Jinhan, Changhoon Oh, Bongwon Suh, & Nam Wook Kim. (2021). Toward a Unified Framework for Visualization Design Guidelines. 1–7. 3 indexed citations
4.
Choi, Jinhan, Changhoon Oh, Bongwon Suh, & Nam Wook Kim. (2021). VisLab: Crowdsourcing Visualization Experiments in the Wild. 1–7. 1 indexed citations
5.
Han, Jeongyun, Sun Huh, Young Hoan Cho, et al.. (2020). Utilizing online learning data to design face-to-face activities in a flipped classroom: a case study of heterogeneous group formation. Educational Technology Research and Development. 68(5). 2055–2071. 10 indexed citations
6.
Oh, Changhoon, Seonghyun Kim, Jinhan Choi, et al.. (2020). Understanding How People Reason about Aesthetic Evaluations of Artificial Intelligence. 1169–1181. 9 indexed citations
7.
Oh, Changhoon, Jinhan Choi, Sungwoo Lee, et al.. (2020). Understanding User Perception of Automated News Generation System. 1–13. 17 indexed citations
9.
Oh, Changhoon, Jungwoo Song, Jinhan Choi, et al.. (2018). I Lead, You Help but Only with Enough Details. 1–13. 184 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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