Juho Kim

5.8k total citations · 1 hit paper
184 papers, 3.4k citations indexed

About

Juho Kim is a scholar working on Artificial Intelligence, Computer Science Applications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Juho Kim has authored 184 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Artificial Intelligence, 50 papers in Computer Science Applications and 32 papers in Computer Vision and Pattern Recognition. Recurrent topics in Juho Kim's work include Online Learning and Analytics (26 papers), Video Analysis and Summarization (21 papers) and Mobile Crowdsensing and Crowdsourcing (21 papers). Juho Kim is often cited by papers focused on Online Learning and Analytics (26 papers), Video Analysis and Summarization (21 papers) and Mobile Crowdsensing and Crowdsourcing (21 papers). Juho Kim collaborates with scholars based in South Korea, United States and Canada. Juho Kim's co-authors include Philip J. Guo, Krzysztof Z. Gajos, Robert C. Miller, Piotr Mitros, Daniel Seaton, Minsuk Chang, Walter S. Lasecki, Sang Guun Yoo, Joseph Jay Williams and Shang-Wen Li and has published in prestigious journals such as Bioinformatics, PLoS ONE and Analytical Chemistry.

In The Last Decade

Juho Kim

167 papers receiving 3.2k citations

Hit Papers

How video production affects student engagement 2014 2026 2018 2022 2014 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Juho Kim South Korea 25 1.4k 924 724 531 487 184 3.4k
Rosemary Luckin United Kingdom 26 975 0.7× 1.0k 1.1× 561 0.8× 420 0.8× 853 1.8× 94 3.1k
Ronghuai Huang China 33 1.2k 0.9× 1.5k 1.6× 846 1.2× 404 0.8× 1.1k 2.2× 200 4.6k
Marcus Specht Netherlands 32 1.3k 1.0× 956 1.0× 530 0.7× 397 0.7× 1.0k 2.1× 233 3.5k
Marian Petre United Kingdom 30 1.2k 0.9× 633 0.7× 686 0.9× 397 0.7× 1.4k 2.8× 162 4.1k
Kshitij Sharma Norway 28 849 0.6× 580 0.6× 661 0.9× 206 0.4× 391 0.8× 115 2.7k
Andrés Monroy‐Hernández United States 18 2.0k 1.4× 431 0.5× 547 0.8× 357 0.7× 712 1.5× 84 3.9k
Morris Siu–Yung Jong Hong Kong 34 1.2k 0.8× 1.5k 1.7× 608 0.8× 251 0.5× 925 1.9× 139 4.0k
Roberto Martínez‐Maldonado Australia 32 1.8k 1.3× 900 1.0× 912 1.3× 262 0.5× 513 1.1× 162 3.5k
Marek Hatala Canada 30 1.4k 1.0× 1.1k 1.1× 750 1.0× 217 0.4× 777 1.6× 121 3.0k
Judy Kay Australia 37 1.5k 1.1× 703 0.8× 1.3k 1.8× 578 1.1× 996 2.0× 238 5.0k

Countries citing papers authored by Juho Kim

Since Specialization
Citations

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

Fields of papers citing papers by Juho Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Juho Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Juho Kim. A scholar is included among the top collaborators of Juho Kim 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 Juho Kim. Juho Kim 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
3.
Naik, Aakanksha, Pao Siangliulue, Juho Kim, et al.. (2024). ArxivDIGESTables: Synthesizing Scientific Literature into Tables using Language Models. 9612–9631. 1 indexed citations
4.
Yoo, Haneul, Tak Yeon Lee, Hwajung Hong, et al.. (2024). LLM-as-a-tutor in EFL Writing Education: Focusing on Evaluation of Student-LLM Interaction. 284–293. 2 indexed citations
7.
Kim, Juho, et al.. (2024). VIVID: Human-AI Collaborative Authoring of Vicarious Dialogues from Lecture Videos. 1–26. 6 indexed citations
8.
Kim, Juho, et al.. (2024). CodeTree: A System for Learnersourcing Subgoal Hierarchies in Code Examples. Proceedings of the ACM on Human-Computer Interaction. 8(CSCW1). 1–37. 2 indexed citations
9.
Kim, Dae Hyun, et al.. (2024). A Context-Aware Onboarding Agent for Metaverse Powered by Large Language Models. Designing Interactive Systems Conference. 1857–1874. 6 indexed citations
10.
Kim, Juho, et al.. (2024). Using Large Language Models To Diagnose Math Problem-solving Skills At Scale. 471–475. 1 indexed citations
12.
15.
Kim, Dae Hyun, et al.. (2023). EMPHASISCHECKER: A Tool for Guiding Chart and Caption Emphasis. IEEE Transactions on Visualization and Computer Graphics. 30(1). 120–130. 4 indexed citations
16.
17.
Lee, Yoon-Joo, Tae Soo Kim, Minsuk Chang, & Juho Kim. (2022). Interactive Children’s Story Rewriting Through Parent-Children Interaction. 62–71. 10 indexed citations
18.
Chung, John Joon Young, et al.. (2017). Exprgram: A Video-based Language Learning Interface Powered by Learnersourced Video Annotations. National Conference on Artificial Intelligence. 1 indexed citations
19.
Kim, Juho, et al.. (2011). Communication Performance Analysis according to Seasons in West Sea. 48(1). 9–15.
20.
Kim, Juho, et al.. (2011). Performance of Underwater Communication in Low Salinity Layer at the Western Sea of Jeju. 48(1). 16–24. 1 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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