O‐Joun Lee

701 total citations
58 papers, 421 citations indexed

About

O‐Joun Lee is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Sociology and Political Science. According to data from OpenAlex, O‐Joun Lee has authored 58 papers receiving a total of 421 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 17 papers in Computer Vision and Pattern Recognition and 13 papers in Sociology and Political Science. Recurrent topics in O‐Joun Lee's work include Video Analysis and Summarization (13 papers), Recommender Systems and Techniques (9 papers) and Music and Audio Processing (7 papers). O‐Joun Lee is often cited by papers focused on Video Analysis and Summarization (13 papers), Recommender Systems and Techniques (9 papers) and Music and Audio Processing (7 papers). O‐Joun Lee collaborates with scholars based in South Korea, Vietnam and United States. O‐Joun Lee's co-authors include Jason J. Jung, Jai E. Jung, Hae Gyun Lim, Jin Taek Kim, K. Kirk Shung, Hoàng Long Nguyễn, Dosam Hwang, Tai‐Won Um, Hyung Ham Kim and Hyun–Woo Lee and has published in prestigious journals such as Scientific Reports, IEEE Access and Sensors.

In The Last Decade

O‐Joun Lee

48 papers receiving 398 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
O‐Joun Lee South Korea	13	169	114	76	65	64	58	421
Amit Agarwal India	9	257 1.5×	96 0.8×	38 0.5×	50 0.8×	33 0.5×	14	410
Madhu Kumari India	10	240 1.4×	40 0.4×	70 0.9×	176 2.7×	52 0.8×	45	461
Mohamad Saraee United Kingdom	12	326 1.9×	100 0.9×	48 0.6×	119 1.8×	38 0.6×	43	509
Enrico Corradini Italy	14	177 1.0×	58 0.5×	95 1.3×	114 1.8×	87 1.4×	40	454
Shengjie Wang China	9	200 1.2×	65 0.6×	40 0.5×	109 1.7×	93 1.5×	35	473
Dharmveer Singh Rajpoot India	9	343 2.0×	72 0.6×	53 0.7×	144 2.2×	17 0.3×	23	459
Xiangyu Song China	11	538 3.2×	160 1.4×	56 0.7×	142 2.2×	52 0.8×	28	746
Ainur Yessenalina United States	5	377 2.2×	67 0.6×	29 0.4×	76 1.2×	24 0.4×	5	599

Countries citing papers authored by O‐Joun Lee

Since Specialization

Citations

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

Fields of papers citing papers by O‐Joun Lee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by O‐Joun Lee. 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 O‐Joun Lee. The network helps show where O‐Joun Lee may publish in the future.

Co-authorship network of co-authors of O‐Joun Lee

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

All Works

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20 of 20 papers shown

Do, Truong Van, et al.. (2025). Halal or Not: Knowledge Graph Completion for Predicting Cultural Appropriateness of Daily Products. IEEE Access. 13. 15158–15167.

Lee, O‐Joun, et al.. (2024). Automated classification of liver fibrosis stages using ultrasound imaging. BMC Medical Imaging. 24(1). 36–36. 13 indexed citations

Lee, O‐Joun, et al.. (2024). A neural compact model based on transfer learning for organic FETs with Gaussian disorder. Journal of Materials Chemistry C. 12(41). 16691–16700.

Hoang, Van Thuy & O‐Joun Lee. (2024). Transitivity-Preserving Graph Representation Learning for Bridging Local Connectivity and Role-Based Similarity. Proceedings of the AAAI Conference on Artificial Intelligence. 38(11). 12456–12465. 5 indexed citations

Kang, J. S., et al.. (2024). Observation impact explanation in atmospheric state estimation using hierarchical message-passing graph neural networks^*. Machine Learning Science and Technology. 5(4). 45036–45036. 1 indexed citations

Lee, O‐Joun, et al.. (2024). Kiosk Recommend System Based on Self-Supervised Representation Learning of User Behaviors in Offline Retail. IEEE Internet of Things Journal. 11(10). 18686–18697.

Lee, O‐Joun, et al.. (2023). Diagnosis of diabetes mellitus using high frequency ultrasound and convolutional neural network. Ultrasonics. 136. 107167–107167. 11 indexed citations

Yoon, Yoewon, et al.. (2023). Graph Representation Learning and Its Applications: A Survey. Sensors. 23(8). 4168–4168. 17 indexed citations

Kim, Kang-Min, et al.. (2023). “Why do I feel offended?” - Korean Dataset for Offensive Language Identification. 1142–1153. 1 indexed citations

10.

Lim, Hae Gyun, et al.. (2022). Automated cell-type classification combining dilated convolutional neural networks with label-free acoustic sensing. Scientific Reports. 12(1). 19873–19873. 10 indexed citations

11.

Lee, O‐Joun, Hae Gyun Lim, K. Kirk Shung, Jin Taek Kim, & Hyung Ham Kim. (2022). Automated estimation of cancer cell deformability with machine learning and acoustic trapping. Scientific Reports. 12(1). 6891–6891. 11 indexed citations

12.

Lee, O‐Joun, et al.. (2020). Computational Narrative Generation: A Survey. 10(1). 9–18.

13.

Lee, O‐Joun, et al.. (2019). Is Performance of Scholars Correlated to Their Research Collaboration Patterns?. Frontiers in Big Data. 2. 39–39. 8 indexed citations

14.

Lee, O‐Joun & Jason J. Jung. (2018). Explainable Movie Recommendation Systems by using Story-based Similarity.. 13 indexed citations

15.

Lee, O‐Joun, et al.. (2018). Measuring Character-based Story Similarity by Analyzing Movie Scripts.. 41–45. 7 indexed citations

16.

Nguyễn, Hoàng Long, et al.. (2017). Event-Driven Trust Refreshment on Ambient Services. IEEE Access. 5. 4664–4670. 13 indexed citations

17.

Jung, Jai E., et al.. (2016). A computational model of transmedia ecosystem for story-based contents. Multimedia Tools and Applications. 76(8). 10371–10388. 16 indexed citations

18.

Lee, O‐Joun, et al.. (2015). Predictive Clustering for performance stability in collaborative filtering techniques. 48–55. 3 indexed citations

19.

Hong, Minsung, et al.. (2014). Meta-data Configuration and Wellness Feature Analysis Technique for Wellness Content Recommendation. Journal of the Korea Society of Computer and Information. 19(8). 83–93. 1 indexed citations

20.

Lee, O‐Joun, Minsung Hong, Won Jin Lee, & Jae-Dong Lee. (2014). Scalable Collaborative Filtering Technique based on Adaptive Clustering. Journal of Intelligence and Information Systems. 20(2). 73–92. 3 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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