Jaechoon Jo

518 total citations
39 papers, 349 citations indexed

About

Jaechoon Jo is a scholar working on Information Systems, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jaechoon Jo has authored 39 papers receiving a total of 349 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Information Systems, 10 papers in Artificial Intelligence and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jaechoon Jo's work include Online Learning and Analytics (7 papers), Education and Learning Interventions (7 papers) and Educational Systems and Policies (5 papers). Jaechoon Jo is often cited by papers focused on Online Learning and Analytics (7 papers), Education and Learning Interventions (7 papers) and Educational Systems and Policies (5 papers). Jaechoon Jo collaborates with scholars based in South Korea, Japan and Estonia. Jaechoon Jo's co-authors include Heuiseok Lim, Chanhee Lee, Danial Hooshyar, Gyeongmin Kim, Yeongwook Yang, Seolhwa Lee, Kinam Park, Kinam Park, Chanjun Park and Kyu Han Koh and has published in prestigious journals such as SHILAP Revista de lepidopterología, Electronics and Journal of Educational Computing Research.

In The Last Decade

Jaechoon Jo

32 papers receiving 322 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jaechoon Jo South Korea 10 138 97 63 58 56 39 349
Rosa Alarcón Chile 11 195 1.4× 92 0.9× 64 1.0× 104 1.8× 34 0.6× 25 369
David Fernandes Brazil 10 102 0.7× 103 1.1× 22 0.3× 47 0.8× 38 0.7× 19 277
David E. Millard United Kingdom 12 123 0.9× 73 0.8× 54 0.9× 76 1.3× 73 1.3× 37 351
Zulfiqar Ali Memon Pakistan 12 96 0.7× 94 1.0× 25 0.4× 28 0.5× 23 0.4× 46 321
Patrícia Tedesco Brazil 9 80 0.6× 74 0.8× 79 1.3× 94 1.6× 71 1.3× 65 352
Christoph Rensing Germany 10 168 1.2× 122 1.3× 26 0.4× 159 2.7× 49 0.9× 76 361
James D. Kiper United States 11 193 1.4× 107 1.1× 35 0.6× 80 1.4× 24 0.4× 50 381
Katsuko T. Nakahira Japan 9 96 0.7× 45 0.5× 38 0.6× 20 0.3× 51 0.9× 40 327
Fakhroddin Noorbehbahani Iran 10 77 0.6× 136 1.4× 46 0.7× 42 0.7× 20 0.4× 21 355
Rainer Knauf Germany 9 81 0.6× 196 2.0× 21 0.3× 74 1.3× 46 0.8× 94 379

Countries citing papers authored by Jaechoon Jo

Since Specialization
Citations

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

Fields of papers citing papers by Jaechoon Jo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jaechoon Jo

This figure shows the co-authorship network connecting the top 25 collaborators of Jaechoon Jo. A scholar is included among the top collaborators of Jaechoon Jo 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 Jaechoon Jo. Jaechoon Jo 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.
Son, Seung‐Woo, et al.. (2025). Development of Customized Learning Support System with LLM. 4(7). 1–8.
2.
Yang, Yeongwook, et al.. (2024). A Comparative Study of Computational Thinking Perception Between Freshmen and Senior of Computer Science. The Journal of Korean Association of Computer Education. 27(1). 63–69.
3.
Jo, Jaechoon, et al.. (2023). Remote Heart Rate Estimation Using Attention-targeted Self-Supervised Learning Methods. International Journal on Advanced Science Engineering and Information Technology. 13(3). 870–875. 2 indexed citations
4.
Kim, Gyeongmin, Minseok Kim, & Jaechoon Jo. (2022). Enhancing Code Similarity with Augmented Data Filtering and Ensemble Strategies. SHILAP Revista de lepidopterología. 6(3). 676–676. 1 indexed citations
5.
Jo, Jaechoon, Gyeongmin Kim, & Kinam Park. (2021). Sentiment-Target Word Pair Extraction Model Using Statistical Analysis of Sentence Structures. Electronics. 10(24). 3187–3187. 1 indexed citations
6.
Jo, Jaechoon, et al.. (2020). Research of Media Evaluation Index Generation Model based on Emotion. The Journal of Korean Association of Computer Education. 23(5). 71–79. 1 indexed citations
7.
Jo, Jaechoon, et al.. (2020). Study on Optimal Generative Network for Synthesizing Brain Tumor-Segmented MR Images. Mathematical Problems in Engineering. 2020. 1–12. 7 indexed citations
8.
Lim, Heuiseok, et al.. (2020). Automatic Judgement of Online Video Watching: I Know Whether or Not You Watched. Mathematics. 8(10). 1827–1827. 1 indexed citations
9.
Jo, Jaechoon, et al.. (2019). A Study on the Effectiveness of e-learning video class using the online learning judgement system : Focused on the social studies classes in Elementary school. Journal of the Korean Chemical Society. 10(2). 141–148. 1 indexed citations
10.
Lee, Seolhwa, et al.. (2019). Integrating breakdown detection into dialogue systems to improve knowledge management: encoding temporal utterances with memory attention. Information Technology and Management. 21(1). 51–59. 6 indexed citations
11.
Yang, Yeongwook, Jaechoon Jo, & Heuiseok Lim. (2019). Unifying user preference and item knowledge-based similarity models for top-N recommendation. Personal and Ubiquitous Computing. 26(2). 407–416. 3 indexed citations
12.
Jo, Jaechoon, et al.. (2018). An Development of Image Retrieval Model based on Image2Vec using GAN. Journal of Digital Convergence. 16(12). 301–307. 1 indexed citations
13.
Jo, Jaechoon, et al.. (2018). Constructing for Korean Traditional culture Corpus and Development of Named Entity Recognition Model using Bi-LSTM-CNN-CRFs. Journal of the Korean Chemical Society. 9(12). 47–52. 1 indexed citations
14.
Yang, Yeongwook, Danial Hooshyar, Jaechoon Jo, & Heuiseok Lim. (2018). A group preference-based item similarity model: comparison of clustering techniques in ambient and context-aware recommender systems. Journal of Ambient Intelligence and Humanized Computing. 11(4). 1441–1449. 12 indexed citations
15.
Jo, Jaechoon, et al.. (2017). A Comparative Analysis of Cognitive Change about Big Data Using Social Media Data Analysis. KIPS Transactions on Software and Data Engineering. 6(7). 371–378. 1 indexed citations
16.
Jo, Jaechoon, et al.. (2017). Development of a Game-Based Learning Judgment System for Online Education Environments Based on Video Lecture: Minimum Learning Judgment System. Journal of Educational Computing Research. 56(6). 802–825. 4 indexed citations
17.
Park, Kinam, et al.. (2015). Mining students activities from a computer supported collaborative learning system based on peer to peer network. Peer-to-Peer Networking and Applications. 9(3). 465–476. 21 indexed citations
18.
Jo, Jaechoon, et al.. (2014). An Integrated Teaching and Learning Assistance System Meeting Requirements for Smart Education. Wireless Personal Communications. 79(4). 2453–2467. 19 indexed citations
19.
Jo, Jaechoon & Heuiseok Lim. (2012). A Conceptual Model of Smart Education Considering Teaching-Learning Activities and Learner's Characteristics. The Journal of Korean Association of Computer Education. 15(4). 41–49. 6 indexed citations
20.
Yang, Yeongwook, Jaechoon Jo, & Heuiseok Lim. (2010). The Smart Phone Application Implement for Cognitive Ability Training. 43–46. 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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